Papers
Wed 1 Oct 2025
480 papers
- Conversational Agents for Building Energy Efficiency -- Advising Housing Cooperatives in Stockholm on Reducing Energy ConsumptionLLM agents and tool use → Financial trading and forecasting agents
- AI Agents with Decentralized Identifiers and Verifiable CredentialsLLM agents and tool use → Agent threats, guardrails and governance
- Constrained Diffusion for Protein Design with Hard Structural ConstraintsDiffusion models → Flow matching, time series and science
- LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review GenerationLLM agents and tool use → Web, search, and research agents
- Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metricsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Curiosity-Driven LLM-as-a-judge for Personalized Creative JudgmentLLM reasoning → Reasoning benchmarks and evaluation
- Structuring Reasoning for Complex Rules Beyond Flat RepresentationsLLM reasoning → Reasoning benchmarks and evaluation
- Characterizing Model Behavior Under Synthetic Data Training: An Empirical Study Across Scales and Mixing RatiosLLM reasoning → Reasoning benchmarks and evaluation +1
- Training Large Language Models To Reason In Parallel With Global Forking TokensLLM reasoning → Test-time compute and efficient thinking
- Constant in an Ever-Changing WorldDeep reinforcement learning methods → Deep RL algorithms and representations
- Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise SupervisionLLM agents and tool use → Web, search, and research agents
- Glaucoma Detection and Structured OCT Report Generation via a Fine-tuned Multimodal Large Language ModelMultimodal LLMs / vision-language models → Medical vision-language models
- KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and UnlearningLLM safety and security → Machine unlearning
- One More Question is Enough, Expert Question Decomposition (EQD) Model for Domain Quantitative ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- WALT: Web Agents that Learn ToolsLLM reasoning → Reasoning for agents, planning and code +1
- MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box SystemsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Realistic CDSS Drug Dosing with End-to-end Recurrent Q-learning for Dual Vasopressor ControlDeep reinforcement learning methods → RL for clinical treatment and surgery
- Lateral Tree-of-Thoughts Surpasses ToT by Incorporating Logically-Consistent, Low-Utility CandidatesLLM reasoning → Test-time compute and efficient thinking
- Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order InformationLLM reasoning → Reasoning for agents, planning and code +1
- AortaDiff: A Unified Multitask Diffusion Framework For Contrast-Free AAA ImagingDiffusion models → Medical imaging and segmentation
- Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks SucceedLLM safety and security → Vision-language and text-to-image safety
- Off-Policy Reinforcement Learning with Anytime Safety Guarantees via Robust Safe Gradient FlowDeep reinforcement learning methods → Safe and constrained RL
- Spatiotemporal Knowledge Graphs as Persistent Scene Memory for Embodied Question AnsweringMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted DatasetsOffline RL and imitation learning from data → Imitation learning methods +1
- Purrception: Variational Flow Matching for Vector-Quantized Image GenerationDiffusion models → Flow matching, time series and science
- Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVACDeep reinforcement learning methods → RL for energy, networks and operations
- The Three Regimes of Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- LSPO: Length-aware Dynamic Sampling for Policy Optimization in LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- How Well Can Preference Optimization Generalize Under Noisy Feedback?LLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- A Forensic Analysis of Synthetic Data in RL: Diagnosing and Solving Algorithmic Failures in Model-Based Policy OptimizationDeep reinforcement learning methods → Deep RL algorithms and representations
- SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for DiffusionDiffusion models → Medical imaging and segmentation
- Data Selection for Fine-tuning Vision Language Models via Cross Modal Alignment TrajectoriesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Dual-Uncertainty Guided Policy Learning for Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- BioVERSE: Representation Alignment of Biomedical Modalities to LLMs for Multi-Modal ReasoningLLM reasoning → Clinical and biomedical applications
- How Well do Diffusion Policies Learn Kinematic Constraint Manifolds?Diffusion models → Diffusion and flow policies for robotics +1
- Automating Data-Driven Modeling and Analysis for Engineering Applications using Large Language Model AgentsLLM agents and tool use → Web, search, and research agents
- Optimal Stopping vs Best-of-N for Inference Time OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- TAG-EQA: Text-And-Graph for Event Question Answering via Structured Prompting StrategiesLLM reasoning → Prompting and chain-of-thought reasoning
- INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action ModelsVision-language-action models → VLA architectures and generalization
- VENTURA: Adapting Image Diffusion Models for Unified Task Conditioned NavigationDiffusion models → Diffusion and flow policies for robotics
- Fine-Tuning Masked Diffusion for Provable Self-CorrectionDiffusion models → Discrete and text diffusion
- Selective Underfitting in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Fine-tuning with RAG for Improving LLM Learning of New SkillsRetrieval-augmented generation → Agentic RAG, agents and memory
- Is It Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning EffortLLM reasoning → Prompting and chain-of-thought reasoning
- Retrieval-Augmented Framework for LLM-Based Clinical Decision SupportRetrieval-augmented generation → Medical and biomedical RAG
- Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking AttacksLLM agents and tool use → Agent threats, guardrails and governance +1
- WAInjectBench: Benchmarking Prompt Injection Detections for Web AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent EnvironmentsLLM agents and tool use → Agent memory systems
- Fine-Tuning Jailbreaks under Highly Constrained Black-Box Settings: A Three-Pronged ApproachLLM safety and security → Jailbreaking
- LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video RestorationDiffusion models → Inverse problems and image restoration
- HiSpec: Hierarchical Speculative Decoding for LLMsEfficient LLM inference and serving → Speculative decoding
- Continuously Augmented Discrete Diffusion model for Categorical Generative ModelingDiffusion models → Discrete and text diffusion
- Combining complex Langevin dynamics with score-based and energy-based diffusion modelsDiffusion models → Diffusion foundations and sampling
- Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language ModelsLLM reasoning → Multimodal reasoning +2
- Domain-Specific Agents for Cherenkov Telescope Array Control Software and Gamma-Ray Data AnalysisLLM agents and tool use → Web, search, and research agents
- SimCity: Multi-Agent Urban Development Simulation with Rich InteractionsLLM agents and tool use → Social simulation and multi-agent debate
- The Social Laboratory: A Psychometric Framework for Multi-Agent LLM EvaluationLLM agents and tool use → Social simulation and multi-agent debate
- ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Dirichlet-Prior Shaping: Guiding Expert Specialization in Upcycled MoEsMixture-of-experts → Vision mixture-of-experts
- Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow ModelsDiffusion models → Diffusion foundations and sampling
- EvoWorld: Evolving Panoramic World Generation with Explicit 3D MemoryWorld models → Video-generation world models and simulators
- BroRL: Scaling Reinforcement Learning via Broadened ExplorationLLM reasoning → Reinforcement learning for reasoning +1
- TOUCAN: Synthesizing 1.5M Tool-Agentic Data from Real-World MCP EnvironmentsLLM agents and tool use → Tool learning and function calling
- Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable RewardsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- Social Welfare Function Leaderboard: When LLM Agents Allocate Social WelfareLLM agents and tool use → Social simulation and multi-agent debate
- Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?LLM reasoning → Reinforcement learning for reasoning
- Multi-Marginal Flow Matching with Adversarially Learnt InterpolantsDiffusion models → Flow matching, time series and science
- Where Do Backdoors Live? A Component-Level Analysis of Backdoor Propagation in Speech Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- ModernVBERT: Towards Smaller Visual Document RetrieversRetrieval-augmented generation → Multimodal RAG
- mR3: Multilingual Rubric-Agnostic Reward Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning +1
- Apriel-1.5-15b-ThinkerLLM reasoning → Multimodal reasoning
- A Practitioner's Guide to Multi-turn Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Strategic Fusion of Vision Language Models: Shapley-Credited Context-Aware Dawid-Skene for Multi-Label Tasks in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Rethinking Thinking Tokens: LLMs as Improvement OperatorsLLM reasoning → Test-time compute and efficient thinking
- Eliciting Chain-of-Thought Reasoning for Time Series Analysis using Reinforcement LearningLLM reasoning → Time series reasoning
- Exploring Network-Knowledge Graph Duality: A Case Study in Agentic Supply Chain Risk AnalysisLLM agents and tool use → Financial trading and forecasting agents
- Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-DefenseLLM safety and security → Safety alignment, refusal and guardrails
- Multi-Actor Multi-Critic Deep Deterministic Reinforcement Learning with a Novel Q-Ensemble MethodDeep reinforcement learning methods → RL theory and sample complexity
- Research on the Integration of Embodied Intelligence and Reinforcement Learning in Textual DomainsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Eliciting Secret Knowledge from Language ModelsMechanistic interpretability → Probing deception, bias and beliefs
- Typed Chain-of-Thought: A Curry-Howard Framework for Verifying LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level CompositionVision-language-action models → Reinforcement learning and post-training +1
- GEM: A Gym for Agentic LLMsLLM agents and tool use → Reinforcement learning for LLM agents
- Interpreting Language Models Through Concept Descriptions: A SurveyMechanistic interpretability → Knowledge and representations inside LLMs
- In-Situ Tweedie Discrete Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMsLLM reasoning → Reinforcement learning for reasoning
- Meaningless Tokens, Meaningful Gains: How Activation Shifts Enhance LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Secure and reversible face anonymization with diffusion modelsDiffusion models → Robustness, privacy and adversarial aspects
- Syntax-Guided Diffusion Language Models with User-Integrated PersonalizationDiffusion models → Discrete and text diffusion
- ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image ReasoningLLM reasoning → Multimodal reasoning
- POVQA: Preference-Optimized Video Question Answering with Rationales for Data EfficiencyMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Riemannian Consistency ModelDiffusion models → Flow matching, time series and science
- Spiralformer: Low Latency Encoder for Streaming Speech Recognition with Circular Layer Skipping and Early ExitingEfficient LLM inference and serving → Audio and omni-modal token compression
- It Takes Two: Your GRPO Is Secretly DPOLLM reasoning → Reinforcement learning for reasoning +1
- QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RLLLM agents and tool use → Medical and scientific domain agents
- Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning BenchmarksLLM reasoning → Reasoning benchmarks and evaluation
- Large Reasoning Models Learn Better Alignment from Flawed ThinkingLLM reasoning → Reasoning for agents, planning and code +2
- Digital Twins: McKean-Pontryagin Control for Partially Observed Physical TwinsDeep reinforcement learning methods → RL theory and sample complexity
- On Discovering Algorithms for Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
All 480
- Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem SolvingRetrieval-augmented generation → Agentic RAG, agents and memory
- Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect VerifiersDeep reinforcement learning methods → RL training of language and agent models
- RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-TrainingLLM reasoning → Reinforcement learning for reasoning
- TubeDAgger: Reducing the Number of Expert Interventions with Stochastic Reach-TubesOffline RL and imitation learning from data → Imitation learning methods
- Rectifying Regression in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Advancing Automated Ethical Profiling in SE: a Zero-Shot Evaluation of LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented GenerationLLM reasoning → Hallucination detection and mitigation +1
- Gather-Scatter Mamba: Accelerating Propagation with Efficient State Space ModelState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
- Can World Models Benefit VLMs for World Dynamics?World models → Video-generation world models and simulators
- Mechanistic Interpretability as Statistical Estimation: A Variance AnalysisMechanistic interpretability → Circuits and mechanistic analysis
- Learning Compact Representations of LLM Abilities via Item Response TheoryMixture-of-experts → MoE large language models
- Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road AheadLLM safety and security → Federated unlearning and poisoning
- Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine TranslationRetrieval-augmented generation → Generation and context integration
- NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Learn to Guide Your Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Guiding Evolutionary Molecular Design: Adding Reinforcement Learning for Mutation SelectionDeep reinforcement learning methods → RL for energy, networks and operations
- Fast, Secure, and High-Capacity Image Watermarking with Autoencoded Text VectorsLLM safety and security → Watermarking generated content and models
- Benchmarking Agentic Systems in Automated Scientific Information Extraction with ChemXLLM agents and tool use → Medical and scientific domain agents
- DIA: The Adversarial Exposure of Deterministic Inversion in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- UniverSR: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow MatchingDiffusion models → Audio, speech and music
- Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM UnlearningLLM safety and security → Machine unlearning
- From Scores to Preferences: Redefining MOS Benchmarking for Speech Quality Reward ModelingLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- CroSTAta: Cross-State Transition Attention Transformer for Robotic ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Graph Integrated Multimodal Concept Bottleneck ModelMixture-of-experts → MoE large language models
- HAMLET: Switch your Vision-Language-Action Model into a History-Aware PolicyVision-language-action models → Reasoning and chain-of-thought in VLA
- ALARB: An Arabic Legal Argument Reasoning BenchmarkLLM reasoning → Reasoning for agents, planning and code
- ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex ReasoningLLM reasoning → Multimodal reasoning +1
- Stochastic Self-Organization in Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Adaptive Event Stream Slicing for Open-Vocabulary Event-Based Object Detection via Vision-Language Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- A Geometric Unification of Generative AI with Manifold-Probabilistic Projection ModelsDiffusion models → Diffusion foundations and sampling
- Align Your Tangent: Training Better Consistency Models via Manifold-Aligned TangentsDiffusion models → Flow matching, time series and science
- MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Expected Attention: KV Cache Compression by Estimating Attention from Future Queries DistributionEfficient LLM inference and serving → KV cache optimization
- Erased, But Not Forgotten: Erased Rectified Flow Transformers Still Remain Unsafe Under Concept AttackDiffusion models → Robustness, privacy and adversarial aspects
- Collaborative-Distilled Diffusion Models (CDDM) for Accelerated and Lightweight Trajectory PredictionDiffusion models → Diffusion and flow policies for robotics
- When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language ModelsLLM reasoning → Audio-language model reasoning
- UCD: Unconditional Discriminator Promotes Nash Equilibrium in GANsDiffusion models → Diffusion foundations and sampling
- FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function RegressionMixture-of-experts → MoE theory and gating functions
- ACON: Optimizing Context Compression for Long-horizon LLM AgentsLLM agents and tool use → Agent memory systems +1
- LVLMs as inspectors: an agentic framework for category-level structural defect annotationLLM agents and tool use → Multimodal and embodied agents
- Hybrid Training for Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering AttractorsRetrieval-augmented generation → Privacy and security of RAG +1
- CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping TasksDiffusion models → Diffusion and flow policies for robotics
- Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task LearningMixture-of-experts → Mixture of LoRA experts
- ReSeek: A Self-Correcting Framework for Search Agents with Instructive RewardsLLM agents and tool use → Web, search, and research agents
- Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming VulnerabilityDiffusion models → Robustness, privacy and adversarial aspects +1
- On Predictability of Reinforcement Learning Dynamics for Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- Data Quality Challenges in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided DecodingLLM reasoning → Test-time compute and efficient thinking
- GUI-KV: Efficient GUI Agents via KV Cache with Spatio-Temporal AwarenessMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Cascaded Diffusion Framework for Probabilistic Coarse-to-Fine Hand Pose EstimationDiffusion models → Diffusion and flow policies for robotics
- VIRTUE: Visual-Interactive Text-Image Universal EmbedderMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Efficient Multi-modal Large Language Models via Progressive Consistency DistillationMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Copy-Paste to Mitigate Large Language Model HallucinationsRetrieval-augmented generation → Hallucination detection in RAG
- Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge GraphsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Affordance-Guided Diffusion Prior for 3D Hand ReconstructionDiffusion models → Diffusion and flow policies for robotics
- Diffusion Alignment as Variational Expectation-MaximizationDiffusion models → Diffusion foundations and sampling
- CodeChemist: Test-Time Scaling for Low-Resource Code Generation via Functional Knowledge TransferLLM reasoning → Reasoning for agents, planning and code
- Exploring System 1 and 2 communication for latent reasoning in LLMsLLM reasoning → Test-time compute and efficient thinking
- Rethinking Reward Models for Multi-Domain Test-Time ScalingLLM reasoning → Reinforcement learning for reasoning +1
- MathSticks: A Benchmark for Visual Symbolic Compositional Reasoning with Matchstick PuzzlesLLM reasoning → Multimodal reasoning
- Agent Fine-tuning through Distillation for Domain-specific LLMs in MicrodomainsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain AdaptationDiffusion models → Diffusion foundations and sampling
- Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social NavigationOffline RL and imitation learning from data → Social robot navigation +1
- A Call to Action for a Secure-by-Design Generative AI ParadigmLLM safety and security → Prompt injection and agent security
- BindWeave: Subject-Consistent Video Generation via Cross-Modal IntegrationDiffusion models → Video generation
- PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model AlignmentDiffusion models → Diffusion and flow policies for robotics +1
- Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce ParadigmLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- RELATE-Sim: Leveraging Turning Point Theory and LLM Agents to Predict and Understand Long-Term Relationship Dynamics through Interactive Narrative SimulationsLLM agents and tool use → Social simulation and multi-agent debate
- PAL-UI: Planning with Active Look-back for Vision-Based GUI AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World SimulatorsWorld models → Embodied and robot world models +2
- AbsTopK: Rethinking Sparse Autoencoders For Bidirectional FeaturesLLM reasoning → Reasoning benchmarks and evaluation +1
- How Can Mamba Learn In Context with Outliers and Generalize Provably?State-space sequence models (S4, Mamba) → Core SSM architectures for language
- Discrete Wavelet Transform as a Facilitator for Expressive Latent Space Representation in Variational Autoencoders in Satellite ImageryDiffusion models → Inverse problems and image restoration
- Causally-Informed Reinforcement Learning for Adaptive Emotion-Aware Social Media Recommendation
- Social and Physical Attributes-Defined Trust Evaluation for Effective Collaborator Selection in Human-Device Coexistence Systems
- Analyse comparative d'algorithmes de restauration en architecture d'epli'ee pour des signaux chromatographiques parcimonieux
- Speak to a Protein: An Interactive Multimodal Co-Scientist
- Carbon-Aware Orchestration of Integrated Satellite Aerial Terrestrial Networks via Digital Twin
- Articulation-Informed ASR: Integrating Articulatory Features into ASR via Auxiliary Speech Inversion and Cross-Attention Fusion
- Neu-RadBERT for Enhanced Diagnosis of Brain Injuries and Conditions
- CML-Bench: A Framework for Evaluating and Enhancing LLM-Powered Movie Scripts Generation
- SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation
- Reliable End-to-End Material Information Extraction from the Literature with Source-Tracked Multi-Stage Large Language Models
- To model human linguistic prediction, make LLMs less superhuman
- Auditing Algorithmic Bias in Transformer-Based Trading
- NLD-LLM: A systematic framework for evaluating small language transformer models on natural language description
- Linguistic Characteristics of AI-Generated Text: A Survey
- Rationale-Augmented Retrieval with Constrained LLM Re-Ranking for Task Discovery
- Intelligent Healthcare Ecosystems: Optimizing the Iron Triangle of Healthcare (Access, Cost, Quality)
- DECOR: Deep Embedding Clustering with Orientation Robustness
- NS-Pep: De novo Peptide Design with Non-Standard Amino Acids
- Fast frequency reconstruction using Deep Learning for event recognition in ring laser data
- Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties
- SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition
- Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
- Photorealistic Inpainting for Perturbation-based Explanations in Ecological Monitoring
- The View From Space: Navigating Instrumentation Differences with EOFMs
- Decomposing Attention To Find Context-Sensitive Neurons
- Linear RNNs for autoregressive generation of long music samples
- Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing
- Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs
- On Integer Programming for the Binarized Neural Network Verification Problem
- CarbonX: An Open-Source Tool for Computational Decarbonization Using Time Series Foundation Models
- Predictive Modeling and Explainable AI for Veterinary Safety Profiles, Residue Assessment, and Health Outcomes Using Real-World Data and Physicochemical Properties
- From Videos to Indexed Knowledge Graphs -- Framework to Marry Methods for Multimodal Content Analysis and Understanding
- Flock: A Knowledge Graph Foundation Model via Learning on Random Walks
- Behavioral Geometric Supervision Aligns Video Foundation Models with Human Social Perception
- Pharmacophore-Guided Generative Design of Novel Drug-Like Molecules
- AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance
- From keywords to semantics: Perceptions of large language models in data discovery
- LLM-NAS: LLM-driven Hardware-Aware Neural Architecture Search
- Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization
- Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
- A-VERT: Agnostic Verification with Embedding Ranking Targets
- RealClass: A Framework for Classroom Speech Simulation with Public Datasets and Game Engines
- The Command Line GUIde: Graphical Interfaces from Man Pages via AI
- Financial Stability Implications of Generative AI: Taming the Animal Spirits
- Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression
- GeoSURGE: Geo-localization using Semantic Fusion with Hierarchy of Geographic Embeddings
- SoftAdaClip: A Smooth Clipping Strategy for Fair and Private Model Training
- Edge Artificial Intelligence: A Systematic Review of Evolution, Taxonomic Frameworks, and Future Horizons
- AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation
- On the Role of Domain Experts in Creating Effective Tutoring Systems
- A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining
- DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
- Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting
- OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
- Ultra-Efficient Decoding for End-to-End Neural Compression and Reconstruction
- Resolving the Identity Crisis in Text-to-Image Generation
- Neural Network Surrogates for Free Energy Computation of Complex Chemical Systems
- Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
- Learning to Play Multi-Follower Bayesian Stackelberg Games
- DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
- SPUS: A Lightweight and Parameter-Efficient Foundation Model for PDEs
- RheOFormer: A generative transformer model for simulation of complex fluids and flows
- EvoStruggle: A Dataset Capturing the Evolution of Struggle across Activities and Skill Levels
- An Efficient Quality Metric for Video Frame Interpolation Based on Motion-Field Divergence
- A theoretical framework for M-posteriors: frequentist guarantees and robustness properties
- To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking
- Image Generation Based on Image Style Extraction
- Aristotle: IMO-level Automated Theorem Proving
- Self-Supervised Representation Learning as Mutual Information Maximization
- On the Identifiability of Latent Action Policies
- HomID : Benchmarking Intrinsic Dimension Estimators on Homogenous Manifolds with Anisotropic Embeddings
- Low Rank Gradients and Where to Find Them
- Hybrid Predictive Modeling of Malaria Incidence in the Amhara Region, Ethiopia: Integrating Multi-Output Regression and Time-Series Forecasting
- MorphGen: Controllable and Morphologically Plausible Generative Cell-Imaging
- From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review
- Cyber Academia-Chemical Engineering (CA-ChemE): A Living Digital Town for Self-Directed Research Evolution and Emergent Scientific Discovery
- Network-Level Vehicle Delay Estimation at Heterogeneous Signalized Intersections
- Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity
- Microsaccade-Inspired Probing: Positional Encoding Perturbations Reveal LLM Misbehaviours
- Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models
- ASTRA: Let Arbitrary Subjects Transform in Video Editing
- COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
- Audio Driven Real-Time Facial Animation for Social Telepresence
- On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
- Code2Video: A Code-centric Paradigm for Educational Video Generation
- EditTrack: Detecting and Attributing AI-assisted Image Editing
- Energy-Regularized Sequential Model Editing on Hyperspheres
- Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
- Fiaingen: A financial time series generative method matching real-world data quality
- A first-order method for constrained nonconvex-nonconcave minimax optimization
- How Does the Pretraining Distribution Shape In-Context Learning? A Fundamental Trade-Off
- MASH: Modeling Abstention via Selective Help-Seeking
- Automatic Speech Recognition (ASR) for African Low-Resource Languages: A Systematic Literature Review
- Generalized Parallel Scaling with Interdependent Generations
- Re-examining Low Rank adaptation for private LLM fine-tuning
- TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation
- Prompt Curriculum Learning for Efficient LLM Post-Training
- Instant4D: 4D Gaussian Splatting in Minutes
- Breaking the Euclidean Barrier: Hyperboloid-Based Biological Sequence Analysis
- PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis
- Privacy Preserved Federated Learning with Attention-Based Aggregation for Biometric Recognition
- The causal structure of galactic astrophysics
- TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
- Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension
- Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time
- Optimizing Fairness in Production Planning: A Human-Centric Approach to Machine and Workforce Allocation
- Optimal placement of wind farms via quantile constraint learning
- Double projection for reconstructing dynamical systems: between stochastic and deterministic regimes
- CodeGenLink: A Tool to Find the Likely Origin and License of Automatically Generated Code
- Predicting Diabetic Retinopathy Using a Two-Level Ensemble Model
- ReSWD: ReSTIR'd, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction
- Hybrid Dialogue State Tracking for Persian Chatbots: A Language Model-Based Approach
- KeySG: Hierarchical Keyframe-Based 3D Scene Graphs
- Gated X-TFC: Soft Domain Decomposition for Forward and Inverse Problems in Sharp-Gradient PDEs
- Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI
- Uncovering the Computational Ingredients of Human-Like Representations in LLMs
- Hypothesis-Driven Feature Manifold Analysis in LLMs via Supervised Multi-Dimensional Scaling
- VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks
- The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification
- Quantifying the noise sensitivity of the Wasserstein metric for images
- Revisiting Adversarial Training under Hyperspectral Image
- Random Feature Spiking Neural Networks
- Integrating AI and Ensemble Forecasting: Explainable Materials Planning with Scorecards and Trend Insights for a Large-Scale Manufacturer
- TextCAM: Explaining Class Activation Map with Text
- Improving Code Localization with Repository Memory
- SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model
- Visual Self-Refinement for Autoregressive Models
- A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features
- Adaptive Federated Few-Shot Rare-Disease Diagnosis with Energy-Aware Secure Aggregation
- JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation
- Deep Learning-Based Approach for Improving Relational Aggregated Search
- A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
- Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem
- Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning
- Modeling Market States with Clustering and State Machines
- InfVSR: Toward Consistency-Driven Streaming Generative Video Super-Resolution
- Resolution as a Direction: Vector-Panning Feature Alignment for Cross-Resolution Re-Identification
- Making, not Taking, the Best of N
- Equivariant Splitting: Self-supervised learning from incomplete data
- PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
- "We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe
- Bridging Language Gaps: Advances in Cross-Lingual Information Retrieval with Multilingual LLMs
- BoMGene: Integrating Boruta-mRMR feature selection for enhanced Gene expression classification
- Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification
- FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs
- Span-level Detection of AI-generated Scientific Text via Contrastive Learning and Structural Calibration
- COMMET: orders-of-magnitude speed-up in finite element method via batch-vectorized neural constitutive updates
- GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling
- AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification
- Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
- False Discovery Rate Control via Bayesian Mirror Statistic
- Reducci'on de ruido por medio de autoencoders: caso de estudio con la se~nal GW150914
- A Visual Diagnostics Framework for District Heating Data: Enhancing Data Quality for AI-Driven Heat Consumption Prediction
- Target Population Synthesis using CT-GAN
- Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining
- Population Synthesis using Incomplete Information
- ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs
- LLM Routing with Dueling Feedback
- Feature Identification for Hierarchical Contrastive Learning
- Improving Cryptocurrency Pump-and-Dump Detection through Ensemble-Based Models and Synthetic Oversampling Techniques
- Controlled Comparison of Machine Learning Models for Fault Classification and Localization in Power System Protection
- Non-Euclidean Broximal Point Method: A Blueprint for Geometry-Aware Optimization
- Logical Consistency Between Disagreeing Experts and Its Role in AI Safety
- PhraseStereo: The First Open-Vocabulary Stereo Image Segmentation Dataset
- Semantic Bridges Between First Order c-Representations and Cost-Based Semantics: An Initial Perspective
- Family Matters: Language Transfer and Merging for Adapting Small LLMs to Faroese
- Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting
- What You See is What You Ask: Evaluating Audio Descriptions
- From Seeing to Predicting: A Vision-Language Framework for Trajectory Forecasting and Controlled Video Generation
- Planning-Augmented Sampling with Early Guidance for High-Reward Discovery
- Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits
- Solar PV Installation Potential Assessment on Building Facades Based on Vision and Language Foundation Models
- MetaLogic: Robustness Evaluation of Text-to-Image Models via Logically Equivalent Prompts
- Complex System Exploration with Interactive Human Guidance
- AI in data science education: experiences from the classroom
- In-Place Feedback: Reliable Refinement for Multi-Turn Expert-LLM Collaboration
- GeoGraph: Geometric and Graph-based Ensemble Descriptors for Intrinsically Disordered Proteins
- Uncertainty-Aware Concept Bottleneck Models with Enhanced Interpretability
- ZQBA: Zero Query Black-box Adversarial Attack
- LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
- Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning
- How Foundational are Foundation Models for Time Series Forecasting?
- Discovering Communities in Continuous-Time Temporal Networks by Optimizing L-Modularity
- Approximation of differential entropy in Bayesian optimal experimental design
- Neural Diffusion Processes for Physically Interpretable Survival Prediction
- EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty
- Extreme Blind Image Restoration via Prompt-Conditioned Information Bottleneck
- DEAP DIVE: Dataset Investigation with Vision transformers for EEG evaluation
- Deep learning motion correction of quantitative stress perfusion cardiovascular magnetic resonance
- Comparison of Machine Learning Models to Classify Documents on Digital Development
- AttentionDep: Domain-Aware Attention for Explainable Depression Severity Assessment
- Physics-Informed Extreme Learning Machine (PIELM) for Tunnelling-Induced Soil-Pile Interactions
- Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments
- Relevance-Zone Reduction in Game Solving
- ProtoMask: Segmentation-Guided Prototype Learning
- Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector
- Beyond one-hot encoding? Journey into compact encoding for large multi-class segmentation
- Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
- Batch-CAM: Introduction to better reasoning in convolutional deep learning models
- Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
- Unsupervised Unfolded rPCA (U2-rPCA): Deep Interpretable Clutter Filtering for Ultrasound Microvascular Imaging
- Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network
- OTTER: Open-Tagging via Text-Image Representation for Multi-modal Understanding
- FIN: Fast Inference Network for Map Segmentation
- Error Feedback for Muon and Friends
- LAKAN: Landmark-assisted Adaptive Kolmogorov-Arnold Network for Face Forgery Detection
- Virtual Fashion Photo-Shoots: Building a Large-Scale Garment-Lookbook Dataset
- Tenyidie Syllabification corpus creation and deep learning applications
- Hearing the Order: Investigating Position Bias in Large Audio-Language Models
- Is Model Editing Built on Sand? Revealing Its Illusory Success and Fragile Foundation
- HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation
- What Did I Learn? Operational Competence Assessment for AI-Based Trajectory Planners
- Robust Context-Aware Object Recognition
- Disentangling Foreground and Background for vision-Language Navigation via Online Augmentation
- Multi-Agent Stage-wise Conservative Linear Bandits
- Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
- Probability calibration for precipitation nowcasting
- Multi-level Dynamic Style Transfer for NeRFs
- AI-Driven Self-Evolving Software: A Promising Path Toward Software Automation
- U-DFA: A Unified DINOv2-Unet with Dual Fusion Attention for Multi-Dataset Medical Segmentation
- Color Models in Image Processing: A Review and Experimental Comparison
- SAGE-LD: Towards Scalable and Generalizable End-to-End Language Diarization via Simulated Data Augmentation
- Arbitrary Generative Video Interpolation
- Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
- IntrusionX: A Hybrid Convolutional-LSTM Deep Learning Framework with Squirrel Search Optimization for Network Intrusion Detection
- Guaranteed Noisy CP Tensor Recovery via Riemannian Optimization on the Segre Manifold
- Are Large Language Models Chronically Online Surfers? A Dataset for Chinese Internet Meme Explanation
- Panorama: Fast-Track Nearest Neighbors
- Memory Determines Learning Direction: A Theory of Gradient-Based Optimization in State Space Models
- Assessing Foundation Models for Mold Colony Detection with Limited Training Data
- Mathematical Theory of Collinearity Effects on Machine Learning Variable Importance Measures
- PromptPilot: Improving Human-AI Collaboration Through LLM-Enhanced Prompt Engineering
- EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases
- Forestpest-YOLO: A High-Performance Detection Framework for Small Forestry Pests
- Bayesian Neural Networks for Functional ANOVA model
- Interpretable Machine Learning for Life Expectancy Prediction: A Comparative Study of Linear Regression, Decision Tree, and Random Forest
- Spectral Scaling Laws in Language Models: How Effectively Do Feed-Forward Networks Use Their Latent Space?
- Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum
- CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab?
- Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems
- Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness
- EuroSpeech: A Multilingual Speech Corpus
- Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction
- JoyAgent-JDGenie: Technical Report on the GAIA
- A Fast and Precise Method for Searching Rectangular Tumor Regions in Brain MR Images
- A universal compression theory for lottery ticket hypothesis and neural scaling laws
- Relative-Absolute Fusion: Rethinking Feature Extraction in Image-Based Iterative Method Selection for Solving Sparse Linear Systems
- MOSS-Speech: Towards True Speech-to-Speech Models Without Text Guidance
- Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbations
- Normal-Abnormal Guided Generalist Anomaly Detection
- Traj2Action: A Co-Denoising Framework for Trajectory-Guided Human-to-Robot Skill Transfer
- Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
- PodEval: A Multimodal Evaluation Framework for Podcast Audio Generation
- Make a Video Call with LLM: A Measurement Campaign over Six Mainstream Apps
- Expandable Decision-Making States for Multi-Agent Deep Reinforcement Learning in Soccer Tactical Analysis
- On the joint estimation of flow fields and particle properties from Lagrangian data
- Analyzing Latent Concepts in Code Language Models
- Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI)
- Feature Identification via the Empirical NTK
- Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
- On the Adversarial Robustness of Learning-based Conformal Novelty Detection
- TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
- Robust Spatiotemporally Contiguous Anomaly Detection Using Tensor Decomposition
- VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors
- UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
- Measuring and Controlling the Spectral Bias for Self-Supervised Image Denoising
- Cloud Investigation Automation Framework (CIAF): An AI-Driven Approach to Cloud Forensics
- Enhancing Rating Prediction with Off-the-Shelf LLMs Using In-Context User Reviews
- LongCodeZip: Compress Long Context for Code Language Models
- TokMem: One-Token Procedural Memory for Large Language Models
- Randomized Matrix Sketching for Neural Network Training and Gradient Monitoring
- Automated Evaluation can Distinguish the Good and Bad AI Responses to Patient Questions about Hospitalization
- On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation
- Automated Structured Radiology Report Generation with Rich Clinical Context
- Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs
- Improving Virtual Contrast Enhancement using Longitudinal Data
- Progressively Sampled Equality-Constrained Optimization
- Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning
- Does Bigger Mean Better? Comparitive Analysis of CNNs and Biomedical Vision Language Modles in Medical Diagnosis
- EgoTraj-Bench: Towards Robust Trajectory Prediction Under Ego-view Noisy Observations
- Hierarchy-Aware Neural Subgraph Matching with Enhanced Similarity Measure
- Physics-Informed Neural Controlled Differential Equations for Scalable Long Horizon Multi-Agent Motion Forecasting
- SAGE-Music: Low-Latency Symbolic Music Generation via Attribute-Specialized Key-Value Head Sharing
- Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
- A Deep Learning Pipeline for Epilepsy Genomic Analysis Using GPT-2 XL and NVIDIA H100
- Bayesian Distributional Models of Executive Functioning
- Train on Validation (ToV): Fast data selection with applications to fine-tuning
- Learning Passive Continuous-Time Dynamics with Multistep Port-Hamiltonian Gaussian Processes
- Efficient Probabilistic Tensor Networks
- Semantic-Driven AI Agent Communications: Challenges and Solutions
- Composer: A Search Framework for Hybrid Neural Architecture Design
- Multidimensional Bayesian Active Machine Learning of Working Memory Task Performance
- GDLNN: Marriage of Programming Language and Neural Networks for Accurate and Easy-to-Explain Graph Classification
- Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis
- Parametric modeling of shear wave velocity profiles for the conterminous U.S
- The Transformer Cookbook
- CINDES: Classification induced neural density estimator and simulator
- Continual Learning with Query-Only Attention
- Attribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answers
- End-to-End Training of High-Dimensional Optimal Control with Implicit Hamiltonians via Jacobian-Free Backpropagation