Papers
Wed 8 Oct 2025
446 papers
- A2AS: Agentic AI Runtime Security and Self-DefenseLLM agents and tool use → Agent threats, guardrails and governance
- scPPDM: A Diffusion Model for Single-Cell Drug-Response PredictionDiffusion models → Flow matching, time series and science
- Fortifying LLM-Based Code Generation with Graph-Based Reasoning on Secure Coding PracticesLLM reasoning → Reasoning for agents, planning and code
- NNDM: NN_UNet Diffusion Model for Brain Tumor SegmentationDiffusion models → Medical imaging and segmentation
- Knowledge-Aware Mamba for Joint Change Detection and Classification from MODIS Times SeriesState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- OmniSAT: Compact Action Token, Faster Auto RegressionVision-language-action models → Efficient VLA inference and adaptation +1
- LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Next Semantic Scale Prediction via Hierarchical Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- ExPO-HM: Learning to Explain-then-Detect for Hateful Meme DetectionLLM reasoning → Reasoning benchmarks and evaluation
- Dynamic Mixture-of-Experts for Visual Autoregressive ModelMixture-of-experts → Vision mixture-of-experts
- A Denoising Diffusion-Based Evolutionary Algorithm Framework: Application to the Maximum Independent Set ProblemDiffusion models → Diffusion foundations and sampling
- From What to Why: Thought-Space Recommendation with Small Language ModelsLLM reasoning → LLM reasoning for recommendation
- Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- PARSE: LLM Driven Schema Optimization for Reliable Entity ExtractionLLM agents and tool use → Tool learning and function calling
- From Simulation to Strategy: Automating Personalized Interaction Planning for Conversational AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Hypothesis Hunting with Evolving Networks of Autonomous Scientific AgentsLLM agents and tool use → Web, search, and research agents
- Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word ProblemsLLM reasoning → Mathematical reasoning
- LLM Unlearning Under the Microscope: A Full-Stack View on Methods and MetricsLLM safety and security → Machine unlearning
- From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood EstimationDeep reinforcement learning methods → RL theory and sample complexity
- Traceability and Accountability in Role-Specialized Multi-Agent LLM PipelinesLLM agents and tool use → Agent threats, guardrails and governance
- AgentAsk: Multi-Agent Systems Need to AskLLM agents and tool use → General LLM agent frameworks and benchmarks
- Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Expanding the Action Space of LLMs to Reason Beyond LanguageLLM reasoning → Reinforcement learning for reasoning
- Symbolic-Diffusion: Deep Learning Based Symbolic Regression with D3PM Discrete Token DiffusionDiffusion models → Diffusion foundations and sampling
- Cross-Modal Attention Guided Unlearning in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Investigating Thematic Patterns and User Preferences in LLM Interactions using BERTopicLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- PickStyle: Video-to-Video Style Transfer with Context-Style AdaptersDiffusion models → Image generation, text-to-image and editing
- Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best PracticesMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- OWL: Overcoming Window Length-Dependence in Speculative Decoding for Long-Context InputsEfficient LLM inference and serving → Speculative decoding
- When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- CompassLLM: A Multi-Agent Approach toward Geo-Spatial Reasoning for Popular Path QueryLLM reasoning → Spatial and embodied reasoning +1
- MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series AnalysisMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- PEAR: Planner-Executor Agent Robustness BenchmarkLLM agents and tool use → Agent threats, guardrails and governance
- When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMsLLM reasoning → Knowledge- and tool-augmented reasoning
- Can Speech LLMs Think while Listening?LLM reasoning → Audio-language model reasoning
- Can Lessons From Human Teams Be Applied to Multi-Agent Systems? The Role of Structure, Diversity, and Interaction DynamicsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reinforcement Learning-based Task Offloading in the Internet of Wearable ThingsDeep reinforcement learning methods → RL for energy, networks and operations
- AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse DecodingLLM reasoning → Test-time compute and efficient thinking +1
- Reasoning by Exploration: A Unified Approach to Retrieval and Generation over GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori InferenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- MoGU: Mixture-of-Gaussians with Uncertainty-based Gating for Time Series ForecastingMixture-of-experts → MoE for time series and graphs
- ExpertAgent: Enhancing Personalized Education through Dynamic Planning and Retrieval-Augmented Long-Chain ReasoningLLM reasoning → Reinforcement learning for reasoning
- Parameter-Free Federated TD Learning with Markov Noise in Heterogeneous EnvironmentsDeep reinforcement learning methods → RL for energy, networks and operations
- TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight GatheringLLM reasoning → Time series reasoning +1
- ProSEA: Problem Solving via Exploration AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context EvaluationLLM agents and tool use → Web, search, and research agents
- Base Models Know How to Reason, Thinking Models Learn WhenLLM reasoning → Reasoning benchmarks and evaluation
- L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning (Preprint)LLM reasoning → Reasoning for agents, planning and code +1
- Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughtsLLM reasoning → Test-time compute and efficient thinking
- ConCuR: Conciseness Makes State-of-the-Art Kernel GenerationLLM reasoning → Reasoning for agents, planning and code
- Pixel-Perfect Depth with Semantics-Prompted Diffusion TransformersDiffusion models → 3D, point cloud and scene generation
- SWE-IF: Aligning Code Evaluation with Human PreferenceLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- WristWorld: Generating Wrist-Views via 4D World Models for Robotic ManipulationWorld models → Embodied and robot world models
- h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- Agent Bain vs. Agent McKinsey: A New Text-to-SQL Benchmark for the Business DomainLLM agents and tool use → Web, search, and research agents
- MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent PipelineLLM agents and tool use → Web, search, and research agents
- Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement LearningLLM reasoning → Reasoning benchmarks and evaluation
- Agentic generative AI for media content discovery at the national football leagueLLM agents and tool use → Multimodal and embodied agents
- AudioMarathon: A Comprehensive Benchmark for Long-Context Audio Understanding and Efficiency in Audio LLMsEfficient LLM inference and serving → Audio and omni-modal token compression
- Test-Time Graph Search for Goal-Conditioned Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- LeMAJ (Legal LLM-as-a-Judge): Bridging Legal Reasoning and LLM EvaluationLLM reasoning → Reasoning for agents, planning and code
- Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be DenseLLM reasoning → Reinforcement learning for reasoning +1
- Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA ExpertsLLM safety and security → Prompt injection and agent security
- LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document UnderstandingRetrieval-augmented generation → Multimodal RAG
- EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language ModelsLLM reasoning → Causal reasoning in LLMs
- Customer-R1: Personalized Simulation of Human Behaviors via RL-based LLM Agent in Online ShoppingLLM agents and tool use → Social simulation and multi-agent debate
- Approximate Gaussian Mapping for Generative Image SteganographyDiffusion models → Robustness, privacy and adversarial aspects
- HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- EigenScore: OOD Detection using Covariance in Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- Poisoning Attacks on LLMs Require a Near-constant Number of Poison SamplesLLM safety and security → Backdoor and data poisoning attacks
- MV-Performer: Taming Video Diffusion Model for Faithful and Synchronized Multi-view Performer SynthesisDiffusion models → 3D, point cloud and scene generation
- Secure-Instruct: An Automated Pipeline for Synthesizing Instruction-Tuning Datasets Using LLMs for Secure Code GenerationSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for RoboticsLLM reasoning → Spatial and embodied reasoning +1
- Exposing LLM User Privacy via Traffic Fingerprint Analysis: A Study of Privacy Risks in LLM Agent InteractionsLLM agents and tool use → Agent threats, guardrails and governance
- NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM AgentsLLM agents and tool use → Web, search, and research agents
- More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical ReasoningLLM reasoning → Mathematical reasoning
- Reasoning for Hierarchical Text Classification: The Case of PatentsLLM reasoning → Knowledge- and tool-augmented reasoning
- A Multi-Agent Framework for Stateful Inference-Time SearchLLM agents and tool use → General LLM agent frameworks and benchmarks
- Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression MethodsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual TrackingVision-language-action models → Reasoning and chain-of-thought in VLA
- Graph Conditioned Diffusion for Controllable Histopathology Image GenerationDiffusion models → Medical imaging and segmentation
- TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress ScenariosDiffusion models → Flow matching, time series and science +1
- TALENT: Table VQA via Augmented Language-Enhanced Natural-text TranscriptionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Generative World Modelling for Humanoids: 1X World Model Challenge Technical ReportWorld models → Embodied and robot world models
- The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with SchemasLLM agents and tool use → General LLM agent frameworks and benchmarks
- Accelerating Diffusion LLM Inference via Local Determinism PropagationEfficient LLM inference and serving → Diffusion LLM and MoE inference
- Vision-Language-Action Models for Robotics: A Review Towards Real-World ApplicationsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA ModelsVision-language-action models → Failure recovery and robustness
- Prompt Optimization Across Multiple Agents for Representing Diverse Human PopulationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Search-R3: Unifying Reasoning and Embedding in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- COMPASS: Benchmarking Constrained Optimization in LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Tool-Augmented Policy Optimization: Synergizing Reasoning and Adaptive Tool Use with Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- Diffusing Trajectory Optimization Problems for Recovery During Multi-Finger ManipulationDiffusion models → Diffusion and flow policies for robotics
- Federated Unlearning in the Wild: Rethinking Fairness and Data DiscrepancyLLM safety and security → Federated unlearning and poisoning
- Towards Reliable Retrieval in RAG Systems for Large Legal DatasetsRetrieval-augmented generation → Legal and financial RAG
- RedTWIZ: Diverse LLM Red Teaming via Adaptive Attack PlanningLLM safety and security → Prompt injection and agent security
- No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual PromptsDiffusion models → Video generation +1
All 446
- Falsification-driven reinforcement learning for maritime motion planningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Revisiting the Uniform Information Density Hypothesis in LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessingOffline RL and imitation learning from data → Offline RL algorithms
- SHANKS: Simultaneous Hearing and Thinking for Spoken Language ModelsLLM reasoning → Audio-language model reasoning
- LongRM: Revealing and Unlocking the Context Boundary of Reward ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
- LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJANLLM agents and tool use → General LLM agent frameworks and benchmarks
- TGPR: Tree-Guided Policy Refinement for Robust Self-Debugging of LLMsLLM reasoning → Test-time compute and efficient thinking
- Prototyping Multimodal GenAI Real-Time Agents with Counterfactual Replays and Hybrid Wizard-of-OzLLM agents and tool use → Multimodal and embodied agents
- SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal ModelsLLM reasoning → Reasoning for agents, planning and code
- λ-GRPO: Unifying the GRPO Frameworks with Learnable Token PreferencesLLM reasoning → Reinforcement learning for reasoning +1
- Self-signals Driven Multi-LLM Debate for Efficient and Accurate ReasoningLLM reasoning → Reasoning for agents, planning and code
- Recurrence-Complete Frame-based Action ModelsLLM agents and tool use → Agent memory systems
- StyleKeeper: Prevent Content Leakage using Negative Visual Query GuidanceDiffusion models → Image generation, text-to-image and editing
- Adaptive Tool Generation with Models as Tools and Reinforcement LearningLLM agents and tool use → Tool learning and function calling +1
- BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization MethodsMechanistic interpretability → Circuits and mechanistic analysis
- FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration PipelineLLM agents and tool use → Social simulation and multi-agent debate
- Get RICH or Die Scaling: Profitably Trading Inference Compute for RobustnessLLM reasoning → Reasoning for agents, planning and code
- TTRV: Test-Time Reinforcement Learning for Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver CompositionLLM reasoning → Reasoning benchmarks and evaluation
- OBS-Diff: Accurate Pruning For Diffusion Models in One-ShotDiffusion models → Diffusion foundations and sampling
- Gold-Switch: Training-Free Superposition of Slow- and Fast- Thinking LLMsLLM reasoning → Test-time compute and efficient thinking
- Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)Retrieval-augmented generation → Privacy and security of RAG
- SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability AnalysisLLM reasoning → Chain-of-thought reasoning for driving
- Dual Goal RepresentationsDeep reinforcement learning methods → Deep RL algorithms and representations
- Inefficiencies of Meta Agents for Agent DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training
- A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and MaskingDiffusion models → Flow matching, time series and science
- Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream TasksSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer SupportLLM agents and tool use → General LLM agent frameworks and benchmarks
- XRPO: Pushing the limits of GRPO with Targeted Exploration and ExploitationLLM reasoning → Reinforcement learning for reasoning
- PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from ScratchLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- ToolMem: Enhancing Multimodal Agents with Learnable Tool Capability MemoryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Aligning Large Language Models via Fully Self-Synthetic DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-FunctionsDeep reinforcement learning methods → RL theory and sample complexity
- Q-Learning with Fine-Grained Gap-Dependent RegretDeep reinforcement learning methods → RL theory and sample complexity
- StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question AnsweringLLM reasoning → Multimodal reasoning
- Control-Augmented Autoregressive Diffusion for Data AssimilationDiffusion models → Flow matching, time series and science
- Three Forms of Stochastic Injection for Improved Distribution-to-Distribution Generative ModelingDiffusion models → Flow matching, time series and science
- A Bridge from Audio to Video: Phoneme-Viseme Alignment Allows Every Face to Speak Multiple LanguagesMixture-of-experts → Multimodal MoE models
- Your Harness is Not Secure: Benchmarking Real-world Threat of Command Line Interface AgentLLM agents and tool use → Agent threats, guardrails and governance
- Do Internal Layers of LLMs Reveal Patterns for Jailbreak Detection?LLM safety and security → Jailbreaking
- TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research AgentsLLM agents and tool use → Web, search, and research agents
- Safe Obstacle-Free Guidance of Space Manipulators in Debris Removal Missions via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text SteganographyLLM agents and tool use → Agent threats, guardrails and governance
- The Markovian Thinker: Architecture-Agnostic Linear Scaling of ReasoningLLM reasoning → Test-time compute and efficient thinking
- Incoherence in Goal-Conditioned Autoregressive ModelsDeep reinforcement learning methods → RL theory and sample complexity
- Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain ThemLLM reasoning → Knowledge- and tool-augmented reasoning +1
- VUGEN: Visual Understanding priors for GENerationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CodeVaani: A Multilingual, Voice-Based Code Learning Assistant
- Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations
- Beyond Models: A Framework for Contextual and Cultural Intelligence in African AI Deployment
- Lean Finder: Semantic Search for Mathlib That Understands User Intents
- Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange
- Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study
- Multi-objective Bayesian Optimization with Human-in-the-Loop for Flexible Neuromorphic Electronics Fabrication
- AI in Computational Thinking Education in Higher Education: A Systematic Literature Review
- Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling
- Leveraging LLMs to Streamline the Review of Public Funding Applications
- Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation
- A physics-aware deep learning model for shear band formation around collapsing pores in shocked reactive materials
- Population synthesis with geographic coordinates
- A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction
- Spatial Uncertainty Quantification in Wildfire Forecasting for Climate-Resilient Emergency Planning
- Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
- Detection of high-frequency oscillations using time-frequency analysis
- Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition
- Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs
- The Digital Mirror: Gender Bias and Occupational Stereotypes in AI-Generated Images
- Do LLMs Know They Are Being Tested? Evaluation Awareness and Incentive-Sensitive Failures in GPT-OSS-20B
- Automated Alignment between Elicitation Interviews and Requirements
- JAI-1: A Thai-Centric Large Language Model
- VAPO: End-to-end Slide-Enhanced Speech Recognition with Omni-modal Large Language Models
- Reproducible Evaluation of Data Augmentation and Loss Functions for Brain Tumor Segmentation
- LLMs Show Surface-Form Brittleness Under Paraphrase Stress Tests
- Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications
- Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation
- A Case for Leveraging Generative AI to Expand and Enhance Training in the Provision of Mental Health Services
- Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
- DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
- Vocabulary embeddings organize linguistic structure early in language model training
- Inspection Planning Primitives with Implicit Models
- Transformer-Based Indirect Structural Health Monitoring of Rail Infrastructure with Attention-Driven Detection and Localization of Transient Defects
- Quick-CapsNet (QCN): A fast alternative to Capsule Networks
- Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particle Reconstruction
- Transferable Generative Models Bridge Femtosecond to Nanosecond Time-Step Molecular Dynamics
- TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
- MaizeStandCounting (MaSC): Automated and Accurate Maize Stand Counting from UAV Imagery Using Image Processing and Deep Learning
- Linguistic Patterns in Pandemic-Related Content: A Comparative Analysis of COVID-19, Constraint, and Monkeypox Datasets
- Accuracy, Memory Efficiency and Generalization: A Comparative Study on Liquid Neural Networks and Recurrent Neural Networks
- Benchmarking is Broken -- Don't Let AI be its Own Judge
- Automated Machine Learning for Unsupervised Tabular Tasks
- Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
- EBGAN-MDN: An Energy-Based Adversarial Framework for Multi-Modal Behavior Cloning
- Label Semantics for Robust Hyperspectral Image Classification
- Phase Diagram of Dropout for Two-Layer Neural Networks in the Mean-Field Regime
- An Evaluation Study of Hybrid Methods for Multilingual PII Detection
- TRAVL: A Recipe for Making Video-Language Models Better Judges of Physics Implausibility
- Targeted Digital Twin via Flow Map Learning and Its Application to Fluid Dynamics
- Low-Compute Watermark Removal via Dual-Domain Natural Projection
- Estimating Fair Graphs from Graph-Stationary Data
- Beyond independent component analysis: identifiability and algorithms
- EEG Sleep Stage Classification with Continuous Wavelet Transform and Deep Learning
- ParsTranslit: Truly Versatile Tajik-Farsi Transliteration
- Efficient Generalization via Multimodal Co-Training under Data Scarcity and Distribution Shift
- Time-Frequency Filtering Meets Graph Clustering
- Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
- Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence
- A Denoising Framework for Real-World Ultra-Low-Dose Lung CT Images Based on an Image Purification Strategy
- Optimizing Ethical Risk Reduction for Medical Intelligent Systems with Constraint Programming
- Evaluation of LLMs for Process Model Analysis and Optimization
- HEMERA: A Human-Explainable Transformer Model for Estimating Lung Cancer Risk using GWAS Data
- Surrogate Modeling for the Design of Optimal Lattice Structures using Tensor Completion
- metabeta -- A fast neural model for Bayesian mixed-effects regression
- Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors
- Populism Meets AI: Advancing Populism Research with LLMs
- Comparison of Fully Homomorphic Encryption and Garbled Circuit Techniques in Privacy-Preserving Machine Learning Inference
- Meaningful Pose-Based Sign Language Evaluation
- PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing
- VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics
- Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
- DynamicEval: Rethinking Evaluation for Dynamic Text-to-Video Synthesis
- LASER: An LLM-based ASR Scoring and Evaluation Rubric
- Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data
- Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs
- Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting
- Best-of-Both Worlds for linear contextual bandits with paid observations
- Bayesian Optimization of Multi-Bit Pulse Encoding in In2O3/Al2O3 Thin-film Transistors for Temporal Data Processing
- Quantum Grid Path Planning Using Parallel QAOA Circuits Based on Minimum Energy Principle
- Position: AI Will Transform Neuropsychology Through Mental Health Digital Twins for Dynamic Mental Health Care, Especially for ADHD
- Attention to Order: Transformers Discover Phase Transitions via Learnability
- Inconsistent Affective Reaction: Sentiment of Perception and Opinion in Urban Environments
- Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data
- Temporal Prompting Matters: Rethinking Referring Video Object Segmentation
- Artificial Hippocampus Networks for Efficient Long-Context Modeling
- Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms
- GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
- MATRIX: Mask Track Alignment for Interaction-aware Video Generation
- Cocoon: A System Architecture for Differentially Private Training with Correlated Noises
- SpecGuard: Spectral Projection-based Advanced Invisible Watermarking
- On the Convergence of Moral Self-Correction in Large Language Models
- MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder
- Evolutionary Profiles for Protein Fitness Prediction
- GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
- Online Rubrics Elicitation from Pairwise Comparisons
- Evaluating Fundus-Specific Foundation Models for Diabetic Macular Edema Detection
- Multi-Objective Multi-Agent Path Finding with Lexicographic Cost Preferences
- On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
- Dynamic Regret Bounds for Online Omniprediction with Long Term Constraints
- Efficient reductions from a Gaussian source with applications to statistical-computational tradeoffs
- TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation
- Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models
- Discriminative Feature Feedback with General Teacher Classes
- When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation
- Where to Begin: Efficient Pretraining via Subnetwork Selection and Distillation
- Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
- How much speech data is necessary for ASR in African languages? An evaluation of data scaling in Kinyarwanda and Kikuyu
- GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation
- Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models
- A Broader View of Thompson Sampling
- Sunflower: A New Approach To Expanding Coverage of African Languages in Large Language Models
- An in-depth look at approximation via deep and narrow neural networks
- Accelerating Inference for Multilayer Neural Networks with Quantum Computers
- Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data
- Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
- Split Conformal Classification with Unsupervised Calibration
- Bridged Clustering: Semi-Supervised Sparse Bridging
- Bayesian Portfolio Optimization by Predictive Synthesis
- Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible
- CARPAS: Towards Content-Aware Refinement of Provided Aspects for Summarization in Large Language Models
- Quantifying Data Contamination in Psychometric Evaluations of LLMs
- NurseLLM: The First Specialized Language Model for Nursing
- Integrating Domain Knowledge into Process Discovery Using Large Language Models
- ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problems
- Comparing Human and Language Models Sentence Processing Difficulties on Complex Structures
- Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency
- A Digital Twin Framework for Metamorphic Testing of Autonomous Driving Systems Using Generative Model
- DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
- A General Framework for Joint Multi-State Models
- Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?
- MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency
- The Conditions of Physical Embodiment Enable Generalization and Care
- Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
- GNN-enhanced Traffic Anomaly Detection for Next-Generation SDN-Enabled Consumer Electronics
- Active Control of Turbulent Airfoil Flows Using Adjoint-based Deep Learning
- Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
- Modeling Sarcastic Speech: Semantic and Prosodic Cues in a Speech Synthesis Framework
- Non-Asymptotic Analysis of Efficiency in Conformalized Regression
- DADO: A Depth-Attention framework for Object Discovery
- Fourier Analysis on the Boolean Hypercube via Hoeffding Functional Decomposition
- Non-Stationary Online Structured Prediction with Surrogate Losses
- HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
- All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations
- Pseudo-MDPs: A Novel Framework for Efficiently Optimizing Last Revealer Seed Manipulations in Blockchains
- LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish
- VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems
- Blind Construction of Angular Power Maps in Massive MIMO Networks
- Inductive Learning for Possibilistic Logic Programs Under Stable Models
- Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages
- Does Local News Stay Local?: Online Content Shifts in Sinclair-Acquired Stations
- Concept Retrieval -- What and How?
- Introspection in Learned Semantic Scene Graph Localisation
- Enhancing Speech Emotion Recognition via Fine-Tuning Pre-Trained Models and Hyper-Parameter Optimisation
- U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
- Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalities
- Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration
- Auditing a KB Elicitation of Frontier LLM Knowledge: A Multi-dimensional Analysis of GPTKB v1.5
- Native Hybrid Attention for Efficient Sequence Modeling
- Sharpness-Aware Data Generation for Zero-shot Quantization
- Bayesian Modelling of Multi-Year Crop Type Classification Using Deep Neural Networks and Hidden Markov Models
- Pragyaan: Designing and Curating High-Quality Cultural Post-Training Datasets for Indian Languages
- The Limits of Goal-Setting Theory in LLM-Driven Assessment
- Root Cause Analysis of Outliers in Unknown Cyclic Graphs
- Spiral Model Technique For Data Science & Machine Learning Lifecycle
- Revisiting Mixout: An Overlooked Path to Robust Finetuning
- Relational Database Distillation: From Structured Tables to Condensed Graph Data
- VelLMes: A high-interaction AI-based deception framework
- Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups
- Addressing the ID-Matching Challenge in Long Video Captioning
- Learning Global Representation from Queries for Vectorized HD Map Construction
- Generating Surface for Text-to-3D using 2D Gaussian Splatting
- EDUMATH: Generating Standards-aligned Educational Math Word Problems
- Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
- Accelerating Sparse Ternary GEMM for Quantized ML on Apple Silicon
- High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization
- From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
- OBJVanish: Physically Realizable Text-to-3D Adv. Generation of LiDAR-Invisible Objects
- Grouped Differential Attention
- Fisher Information, Training and Bias in Fourier Regression Models
- Revisiting Node Affinity Prediction in Temporal Graphs
- Expressive and Scalable Quantum Fusion for Multimodal Learning
- Textual interpretation of transient image classifications from large language models
- IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction
- Label-frugal satellite image change detection with generative virtual exemplar learning
- Quantum Sparse Recovery and Quantum Orthogonal Matching Pursuit
- Bayesian Nonparametric Dynamical Clustering of Time Series
- Utilizing Large Language Models for Machine Learning Explainability
- Vacuum Spiker: A Spiking Neural Network-Based Model for Efficient Anomaly Detection in Time Series
- Emotionally Vulnerable Subtype of Internet Gaming Disorder: Measuring and Exploring the Pathology of Problematic Generative AI Use
- Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
- MeXtract: Light-Weight Metadata Extraction from Scientific Papers
- M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
- Lung Infection Severity Prediction Using Transformers with Conditional TransMix Augmentation and Cross-Attention
- Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices
- MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
- HARP-NeXt: High-Speed and Accurate Range-Point Fusion Network for 3D LiDAR Semantic Segmentation
- Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned Image Recovery
- Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
- Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
- Explaining raw data complexity to improve satellite onboard processing
- Autoformalizer with Tool Feedback
- Online Generic Event Boundary Detection
- Enhancing Bankruptcy Prediction of Banks through Advanced Machine Learning Techniques: An Innovative Approach and Analysis
- Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
- OpenJAI-v1.0: An Open Thai Large Language Model
- Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization
- GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics
- CNN-TFT explained by SHAP with multi-head attention weights for time series forecasting
- Crossing Domains without Labels: Distant Supervision for Term Extraction
- Vectorized FlashAttention with Low-cost Exponential Computation in RISC-V Vector Processors
- Early wind turbine alarm prediction based on machine learning: AlarmForecasting
- Lattice-allocated Real-time Line Segment Feature Detection and Tracking Using Only an Event-based Camera
- Mid-Training of Large Language Models: A Survey
- Efficient numeracy in language models through single-token number embeddings
- Exposing Citation Vulnerabilities in Generative Engines
- Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
- The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning
- VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance
- Overview of the Plagiarism Detection Task at PAN 2025
- Quantum Computing Methods for Malware Detection
- Capture and Interact: Rapid 3D Object Acquisition and Rendering with Gaussian Splatting in Unity
- Extreme Amodal Face Detection
- Bionetta: Efficient Client-Side Zero-Knowledge Machine Learning Proving
- GPT-5 Model Corrected GPT-4V's Chart Reading Errors, Not Prompting
- Foundations of LLM Knowledge Materialization: Termination, Reproducibility, Robustness
- Modeling COVID-19 Dynamics in German States Using Physics-Informed Neural Networks
- A deep multiple instance learning approach based on coarse labels for high-resolution land-cover mapping
- Function regression using the forward forward training and inferring paradigm
- Evolving and Executing Research Plans via Double-Loop Multi-Agent Collaboration
- Transforming Noise Distributions with Histogram Matching: Towards a Single Denoiser for All
- Verifying Memoryless Sequential Decision-making of Large Language Models
- UniFField: A Generalizable Unified Neural Feature Field for Visual, Semantic, and Spatial Uncertainties in Any Scene
- A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction
- LLMs Enable Bag-of-Texts Representations for Short-Text Clustering
- DeRainMamba: A Frequency-Aware State Space Model with Detail Enhancement for Image Deraining
- Evaluating LLMs for Historical Document OCR: A Methodological Framework for Digital Humanities
- MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models
- AWM: Accurate Weight-Matrix Fingerprint for Large Language Models
- Incorporating Expert Knowledge into Bayesian Causal Discovery of Mixtures of Directed Acyclic Graphs
- Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
- PTEB: Towards Robust Text Embedding Evaluation via Stochastic Paraphrasing at Evaluation Time with LLMs
- Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
- LLM Company Policies and Policy Implications in Software Organizations
- AISysRev -- LLM-based Tool for Title-abstract Screening
- XLSR-Kanformer: A KAN-Intergrated model for Synthetic Speech Detection
- How Language Models Conflate Logical Validity with Plausibility: A Representational Analysis of Content Effects
- SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis
- Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
- Latent Representation Learning in Heavy-Ion Collisions with MaskPoint Transformer
- Geometry-Aware Cross Modal Alignment for Light Field-LiDAR Semantic Segmentation
- Gaussian Equivalence for Self-Attention: Asymptotic Spectral Analysis of Attention Matrix
- AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks
- Distributed Algorithms for Multi-Agent Multi-Armed Bandits with Collision
- TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting
- DreamOmni2: Multimodal Instruction-based Editing and Generation
- Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback
- Heptapod: Language Modeling on Visual Signals
- Automated Neural Architecture Design for Industrial Defect Detection
- The Effect of Attention Head Count on Transformer Approximation
- Delay Independent Safe Control with Neural Networks: Positive Lur'e Certificates for Risk Aware Autonomy
- Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures
- Fitzpatrick Thresholding for Skin Image Segmentation
- The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
- Distilling Lightweight Language Models for C/C++ Vulnerabilities
- Contextual Representation Flow Across Depth in State-Space and Transformer Architectures
- StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance
- Chem-NMF: Multi-layer α-divergence Non-Negative Matrix Factorization for Cardiorespiratory Disease Clustering, with Improved Convergence Inspired by Chemical Catalysts and Rigorous Asymptotic Analysis
- AI-Driven Forecasting and Monitoring of Urban Water System
- Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
- POME: Post Optimization Model Edit via Muon-style Projection
- DPA-Net: A Dual-Path Attention Neural Network for Inferring Glycemic Control Metrics from Self-Monitored Blood Glucose Data
- FEAorta: A Fully Automated Framework for Finite Element Analysis of the Aorta From 3D CT Images
- MSITrack: A Challenging Benchmark for Multispectral Single Object Tracking
- Self-supervised Deep Unrolled Model with Implicit Neural Representation Regularization for Accelerating MRI Reconstruction
- Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation
- AIM 2025 Challenge on Real-World RAW Image Denoising
- Fine-Grained Emotion Recognition via In-Context Learning
- SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation
- Adaptive Stain Normalization for Cross-Domain Medical Histology
- Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer
- WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks
- Improving Artifact Robustness for CT Deep Learning Models Without Labeled Artifact Images via Domain Adaptation
- Through the Perspective of LiDAR: A Feature-Enriched and Uncertainty-Aware Annotation Pipeline for Terrestrial Point Cloud Segmentation
- The Framework That Survives Bad Models: Human-AI Collaboration For Clinical Trials
- HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution
- Adapting Quantum Machine Learning for Energy Dissociation of Bonds
- The Algebra of Meaning: Why Machines Need Montague More Than Moore's Law
- Flipping the Dialogue: Training and Evaluating User Language Models
- Reusing Overtrained Language Models Saturates Scaling
- Cluster Paths: Navigating Interpretability in Neural Networks
- Scalable Policy-Based RL Algorithms for POMDPs
- Auto-Prompt Ensemble for LLM Judge
- CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification
- From Description to Detection: LLM based Extendable O-RAN Compliant Blind DoS Detection in 5G and Beyond
- BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
- Wide Neural Networks as a Baseline for the Computational No-Coincidence Conjecture