Papers
Wed 28 Jan 2026
404 papers
- Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained SettingsKnowledge distillation → Knowledge distillation for LLMs
- ConfSpec: Efficient Step-Level Speculative Reasoning via Confidence-Gated VerificationLLM reasoning → Test-time compute and efficient thinking
- Reducing Text Bias in Synthetically Generated MCQAs for VLMs in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- MARVL: Multi-Stage Guidance for Robotic Manipulation via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- From Sparse Decisions to Dense Reasoning: A Multi-attribute Trajectory Paradigm for Multimodal ModerationLLM safety and security → Vision-language and text-to-image safety
- HMVLA: Hyperbolic Multimodal Fusion for Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks +1
- CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- PredictionMarketBench: A SWE-bench-Style Framework for Backtesting Trading Agents on Prediction MarketsLLM agents and tool use → Financial trading and forecasting agents
- ALIGN: Aligned Delegation with Performance Guarantees for Multi-Agent LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Multi-task Code LLMs: Data Mix or Model Merge?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Planner-Auditor Twin: Agentic Discharge Planning with FHIR-Based LLM Planning, Guideline Recall, Optional Caching and Self-ImprovementLLM agents and tool use → Medical and scientific domain agents +1
- How does information access affect LLM monitors' ability to detect sabotage?LLM agents and tool use → Agent threats, guardrails and governance
- Multilevel and Sequential Monte Carlo for Training-Free Diffusion GuidanceDiffusion models → Diffusion foundations and sampling
- Safety Generalization Under Distribution Shift in Safe Reinforcement Learning: A Diabetes TestbedDeep reinforcement learning methods → Safe and constrained RL
- Deep Reinforcement Learning for Fault-Adaptive Routing in Eisenstein-Jacobi Interconnection TopologiesDeep reinforcement learning methods → RL for energy, networks and operations
- OpenSec: Measuring Incident Response Agent Calibration Under Adversarial EvidenceLLM agents and tool use → Agent threats, guardrails and governance
- Shape of Thought: Progressive Object Assembly via Visual Chain-of-ThoughtLLM reasoning → Multimodal reasoning
- Towards Mitigating Modality Bias in Vision-Language Models for Temporal Action LocalizationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical ReportLLM reasoning → Reasoning for agents, planning and code
- Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video ReasoningLLM reasoning → Multimodal reasoning +1
- Predict-Project-Renoise: Sampling Diffusion Models under Hard ConstraintsDiffusion models → Diffusion foundations and sampling
- A Diffusive Classification Loss for Learning Energy-based Generative ModelsDiffusion models → Diffusion foundations and sampling
- UrduBench: An Urdu Reasoning Benchmark using Contextually Ensembled Translations with Human-in-the-LoopLLM reasoning → Reasoning benchmarks and evaluation
- Distributional Active InferenceDeep reinforcement learning methods → Deep RL algorithms and representations
- DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- ICON: Intent-Context Coupling for Efficient Multi-Turn Jailbreak AttackLLM safety and security → Jailbreaking
- FreeFix: Boosting 3D Gaussian Splatting via Fine-Tuning-Free Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- SokoBench: Evaluating Long-Horizon Planning and Reasoning in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cuttingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Reward Models Inherit Value Biases from PretrainingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- MemCtrl: Using MLLMs as Active Memory Controllers on Embodied AgentsLLM agents and tool use → Agent memory systems
- Training Reasoning Models on Saturated Problems via Failure-Prefix ConditioningLLM reasoning → Reinforcement learning for reasoning
- Reinforcement Learning via Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs +1
- Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern TransformersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- SERA: Soft-Verified Efficient Repository AgentsLLM agents and tool use → Software engineering coding agents
- REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic IntelligenceLLM reasoning → Reasoning benchmarks and evaluation
- Less is More: Clustered Cross-Covariance Control for Offline RLOffline RL and imitation learning from data → Offline RL algorithms
- Agentic Fog: A Policy-driven Framework for Distributed Intelligence in Fog ComputingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Exploring Re-inforcement Learning via Human Feedback under User HeterogeneityLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Persona Prompting as a Lens on LLM Social ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- Supervised Guidance Training for Infinite-Dimensional Diffusion ModelsDiffusion models → Inverse problems and image restoration
- GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Continual GUI AgentsLLM agents and tool use → GUI and mobile agents
- AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment RolloutsLLM agents and tool use → Agent memory systems
- Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward FunctionsDeep reinforcement learning methods → Deep RL algorithms and representations
- MedViz: An Agent-based, Visual-guided Research Assistant for Navigating Biomedical LiteratureLLM agents and tool use → Medical and scientific domain agents
- NPU Design for Diffusion Language Model InferenceDiffusion models → Discrete and text diffusion +1
- Decoupling Perception and Calibration: Label-Efficient Image Quality Assessment FrameworkMultimodal LLMs / vision-language models → Image editing and quality assessment
- Positive-Unlabeled Reinforcement Learning Distillation for On-Premise Small ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- bi-modal textual prompt learning for vision-language models in remote sensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Harnessing Large Language Models for Precision Querying and Retrieval-Augmented Knowledge Extraction in Clinical Data ScienceRetrieval-augmented generation → Medical and biomedical RAG
- GPO: Growing Policy Optimization for Legged Robot Locomotion and Whole-Body ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- OS-Marathon: Benchmarking Computer-Use Agents on Vast-Horizon, Repetitive TasksLLM agents and tool use → GUI and mobile agents
- P2S: Probabilistic Process Supervision for General-Domain Reasoning Question AnsweringLLM reasoning → Reinforcement learning for reasoning
- Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-ProbabilityDiffusion models → Diffusion foundations and sampling
- Investigating the Development of Task-Oriented Communication in Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- When Vision Meets Texts in Listwise RerankingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Agent Benchmarks Fail Public Sector RequirementsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DRAINCODE: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context PoisoningRetrieval-augmented generation → Privacy and security of RAG
- Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question ReformulationLLM reasoning → Reinforcement learning for reasoning
- AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily ScenariosLLM agents and tool use → General LLM agent frameworks and benchmarks
- WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal TransportDiffusion models → Flow matching, time series and science
- Dialogical Reasoning Across AI Architectures: A Multi-Model Framework for Testing AI Alignment StrategiesLLM reasoning → Reasoning benchmarks and evaluation
- CLEAR-Mamba:Towards Accurate, Adaptive and Trustworthy Multi-Sequence Ophthalmic Angiography ClassificationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Ranking-aware Reinforcement Learning for Ordinal RankingDeep reinforcement learning methods → RL training of language and agent models
- Reinforcement Unlearning via Group Relative Policy OptimizationLLM safety and security → Machine unlearning
- DiffVC-RT: Towards Practical Real-Time Diffusion-based Perceptual Neural Video CompressionDiffusion models → Diffusion for compression and wireless
- Advancing Open-source World ModelsWorld models → Video-generation world models and simulators
- PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMsWorld models → World models for language agents +1
- Interpreting Emergent Extreme Events in Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Context Tokens are Anchors: Understanding the Repetition Curse in dMLLMs from an Information Flow PerspectiveMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- CCMamba: Topologically-Informed Selective State-Space Networks on Combinatorial Complexes for Higher-Order Graph LearningState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Efficient Autoregressive Video Diffusion with Dummy HeadDiffusion models → Video generation
- Spectral Diffusion Models on the SphereDiffusion models → Diffusion foundations and sampling
- CtrlCoT: Dual-Granularity Chain-of-Thought Compression for Controllable ReasoningLLM reasoning → Test-time compute and efficient thinking
- BMAM: Brain-inspired Multi-Agent Memory FrameworkLLM agents and tool use → Agent memory systems
- PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool UseLLM agents and tool use → Reinforcement learning for LLM agents
- MARE: Multimodal Alignment and Reinforcement for Explainable Deepfake Detection via Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Mix2Morph: Learning Sound Morphing from Noisy MixesDiffusion models → Audio, speech and music
- Concept Component Analysis: A Principled Approach for Concept Extraction in LLMsMechanistic interpretability → SAE features and their applications
- Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Beyond Accuracy: A Cognitive Load Framework for Mapping the Capability Boundaries of Tool-use AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- On the Impact of AGENTS.md Files on the Efficiency of AI Coding AgentsLLM agents and tool use → Software engineering coding agents
- Eliminating Hallucination in Diffusion-Augmented Interactive Text-to-Image RetrievalDiffusion models → Image generation, text-to-image and editing
- Reinforcement Learning for Dividend Optimization in Partially Observed Regime-Switching Diffusion ModelDeep reinforcement learning methods → Adversarial robustness and RL in finance
- OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task ExecutionLLM agents and tool use → GUI and mobile agents +1
- Policy of Thoughts: Scaling Test-Time Training for LLM Reasoning via Online Policy EvolutionLLM reasoning → Test-time compute and efficient thinking
- LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuningLLM agents and tool use → Web, search, and research agents
- RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow MatchingDiffusion models → Inverse problems and image restoration
- Can Continuous-Time Diffusion Models Generate and Solve Globally Constrained Discrete Problems? A Study on SudokuDiffusion models → Discrete and text diffusion
- TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMsEfficient LLM inference and serving → Speculative decoding
- AMA: Adaptive Memory via Multi-Agent CollaborationLLM agents and tool use → Agent memory systems
- Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token SpaceDiffusion models → Discrete and text diffusion
- MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World EnvironmentLLM agents and tool use → GUI and mobile agents
- Demonstration-Free Robotic Control via LLM AgentsVision-language-action models → Failure recovery and robustness +1
- Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and CachingDiffusion models → Discrete and text diffusion +1
All 404
- CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified CriteriaLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Beyond Speedup -- Utilizing KV Cache for Sampling and ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- UnlearnShield: Shielding Forgotten Privacy against Unlearning InversionLLM safety and security → Machine unlearning
- TaF-VLA: Tactile-Force Alignment in Vision-Language-Action Models for Force-aware ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Less is More: Benchmarking LLM Based Recommendation AgentsLLM agents and tool use → Agentic recommender systems
- SAPO: Self-Adaptive Process Optimization Makes Small Reasoners StrongerLLM reasoning → Reinforcement learning for reasoning
- SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery AttacksDiffusion models → Robustness, privacy and adversarial aspects +1
- SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on SuperchipsEfficient LLM inference and serving → Serving systems and request scheduling
- Taming Real-World Space-Time Video Super-Resolution with One-Step DiffusionDiffusion models → Inverse problems and image restoration
- TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image RestorationDiffusion models → Inverse problems and image restoration
- Structure-constrained Language-informed Diffusion Model for Unpaired Low-dose Computed Tomography Angiography ReconstructionDiffusion models → Medical imaging and segmentation
- MiLorE-SSL: Scaling Multilingual Capabilities in Self-Supervised Models without ForgettingMixture-of-experts → Mixture of LoRA experts
- Memory Retrieval in Transformers: Insights from The Encoding Specificity PrincipleLLM safety and security → Machine unlearning
- Hallucination Begins Where Saliency DropsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Beyond the Needle's Illusion: Decoupled Evaluation of Evidence Access and Use under Semantic Interference at 326M-Token ScaleLLM agents and tool use → Web, search, and research agents
- SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUsDiffusion models → Diffusion foundations and sampling
- Eliciting Least-to-Most Reasoning for Phishing URL DetectionLLM reasoning → Reasoning for agents, planning and code
- Shallow-π: Knowledge Distillation for Flow-based VLAsVision-language-action models → Efficient VLA inference and adaptation
- Reversible Efficient Diffusion for Image FusionDiffusion models → Image generation, text-to-image and editing
- C2:Cross learning module enhanced decision transformer with Constraint-aware loss for auto-biddingOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Order-Optimal Sample Complexity of Rectified FlowsDiffusion models → Flow matching, time series and science
- Unit-Based Agent for Semi-Cascaded Full-Duplex Dialogue SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Feature Projection Learning for Better Vision-Language ReasoningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement LearningLLM reasoning → Clinical and biomedical applications
- DenseGRPO: From Sparse to Dense Reward for Flow Matching Model AlignmentLLM reasoning → Reinforcement learning for reasoning +2
- Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic LearningLLM agents and tool use → Reinforcement learning for LLM agents
- TRACER: Texture-Robust Affordance Chain-of-Thought for Deformable-Object RefinementLLM reasoning → Spatial and embodied reasoning
- Towards Intelligent Urban Park Development Monitoring: LLM Agents for Multi-Modal Information Fusion and AnalysisLLM agents and tool use → Multimodal and embodied agents
- Hyperparameter Transfer with Mixture-of-Expert LayersMixture-of-experts → MoE theory and gating functions
- DeRaDiff: Denoising Time Realignment of Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- An Autonomous Agent Framework for Feature-Label Extraction from Device Dialogues and Automatic Multi-Dimensional Device Hosting Planning Based on Large Language ModelsLLM agents and tool use → Financial trading and forecasting agents
- Meta-Cognitive Reinforcement Learning with Self-Doubt and RecoveryDeep reinforcement learning methods → Safe and constrained RL
- TeleStyle: Content-Preserving Style Transfer in Images and VideosDiffusion models → Image generation, text-to-image and editing
- Efficient Token Pruning for LLaDA-VMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- What's the plan? Metrics for implicit planning in LLMs and their application to rhyme generation and question answeringMechanistic interpretability → Steering and interpreting LLM reasoning
- Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced InteractionLLM agents and tool use → Agent memory systems
- Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User IntentsLLM agents and tool use → Tool learning and function calling
- Equity Bias: An Ethical Framework for AI Design
- Spatiotemporal Robustness of Temporal Logic Tasks using Multi-Objective Reasoning
- UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG
- Continual Fine-Tuning with Provably Accurate and Parameter-Free Task Retrieval
- Toward Effective Multi-Domain Rumor Detection in Social Networks Using Domain-Gated Mixture-of-Experts
- Disaster Question Answering with LoRA Efficiency and Accurate End Position
- INSURE-Dial: A Phase-Aware Conversational Dataset & Benchmark for Compliance Verification and Phase Detection
- AIdentifyAGE Ontology for Decision Support in Forensic Dental Age Assessment
- An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networks
- Intelligence as Trajectory-Dominant Pareto Optimization
- String-Level Ground Fault Localization for TN-Earthed Three-Phase Photovoltaic Systems
- Hierarchical JEPA Meets Predictive Remote Control in Beyond 5G Networks
- Adaptive Temporal Dynamics for Personalized Emotion Recognition: A Liquid Neural Network Approach
- Curriculum-Learned Vanishing Stacked Residual PINNs for Hyperbolic PDE State Reconstruction
- When Simultaneous Localization and Mapping Meets Wireless Communications: A Survey
- SurfAge-Net: A Hierarchical Surface-Based Network for Interpretable Fine-Grained Brain Age Prediction
- Attractor Patch Networks: Reducing Catastrophic Forgetting with Routed Low-Rank Patch Experts
- A New Mode of Teaching Chinese as a Foreign Language from the Perspective of Smart System Studied by Using Rongzhixue
- LangGS-SLAM: Real-Time Language-Feature Gaussian Splatting SLAM
- How Much Information Can a Vision Token Hold? A Scaling Law for Recognition Limits in VLMs
- Enhancing Post-Training Quantization via Future Activation Awareness
- Enhancing Psychologists' Understanding through Explainable Deep Learning Framework for ADHD Diagnosis
- Toward a Unified Semantic Loss Model for Deep JSCC-based Transmission of EO Imagery
- Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
- PovNet+: A Deep Learning Architecture for Socially Assistive Robots to Learn and Assist with Multiple Activities of Daily Living
- On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks
- Monte Carlo Tree Search for Execution-Guided Program Repair with Large Language Models
- Quantum Model Parallelism for MRI-Based Classification of Alzheimer's Disease Stages
- Tacit Coordination of Large Language Models
- COL-Trees: Efficient Hierarchical Object Search in Road Networks
- ShellForge: Adversarial Co-Evolution of Webshell Generation and Multi-View Detection for Robust Webshell Defense
- MrRoPE: Mixed-radix Rotary Position Embedding
- CUA-Skill: Develop Skills for Computer Using Agent
- An AI Framework for Microanastomosis Motion Assessment
- AI-Assisted Engineering Should Track the Epistemic Status and Temporal Validity of Architectural Decisions
- ChunkWise LoRA: Adaptive Sequence Partitioning for Memory-Efficient Low-Rank Adaptation and Accelerated LLM Inference
- SteerEval: A Framework for Evaluating Steerability with Natural Language Profiles for Recommendation
- Magellan: Autonomous Discovery of Novel Compiler Optimization Heuristics with AlphaEvolve
- Responsible AI: The Good, The Bad, The AI
- High-dimensional learning dynamics of multi-pass Stochastic Gradient Descent in multi-index models
- MapPFN: Learning Causal Perturbation Maps in Context
- An efficient, accurate, and interpretable machine learning method for computing probability of failure
- Position-invariant Fine-tuning of Speech Enhancement Models with Self-supervised Speech Representations
- LOCUS: Low-Dimensional Model Embeddings for Efficient Model Exploration, Comparison, and Selection
- Parametric Hyperbolic Conservation Laws: A Unified Framework for Conservation, Entropy Stability, and Hyperbolicity
- Multi-modal Imputation for Alzheimer's Disease Classification
- Towards Comprehensive Benchmarking Infrastructure for LLMs In Software Engineering
- Out-of-Distribution Generalization in Graph Foundation Models
- BadDet+: Robust Backdoor Attacks for Object Detection
- Textual Equilibrium Propagation for Deep Compound AI Systems
- Signal from Structure: Exploiting Submodular Upper Bounds in Generative Flow Networks
- Human-LLM Collaborative Feature Engineering for Tabular Data
- Snowball: A Scalable All-to-All Ising Machine with Dual-Mode Markov Chain Monte Carlo Spin Selection and Asynchronous Spin Updates for Fast Combinatorial Optimization
- Better without U: Impact of Selective Hubbard U Correction on Foundational MLIPs
- SMKC: Sketch Based Kernel Correlation Images for Variable Cardinality Time Series Anomaly Detection
- QUARK: Robust Retrieval under Non-Faithful Queries via Query-Anchored Aggregation
- Test-Time Adaptation for Unsupervised Combinatorial Optimization
- Log2Motion: Biomechanical Motion Synthesis from Touch Logs
- SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model
- "Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators
- Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes
- AI-based Prediction of Biochemical Recurrence from Biopsy and Prostatectomy Samples
- Conditional Denoising Model as a Physical Surrogate Model
- Towards regularized learning from functional data with covariate shift
- Unplugging a Seemingly Sentient Machine Is the Rational Choice -- A Metaphysical Perspective
- Efficient Causal Structure Learning via Modular Subgraph Integration
- Order-Aware Test-Time Adaptation: Leveraging Temporal Dynamics for Robust Streaming Inference
- ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research
- Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
- MADE: Benchmark Environments for Closed-Loop Materials Discovery
- Low performing pixel correction in computed tomography with unrolled network and synthetic data training
- The Depth Delusion: Why Transformers Should Be Wider, Not Deeper
- asr_eval: Algorithms and tools for multi-reference and streaming speech recognition evaluation
- Text controllable PET denoising
- Top-k on a Budget: Adaptive Ranking with Weak and Strong Oracles
- Pre-trained Encoders for Global Child Development: Transfer Learning Enables Deployment in Data-Scarce Settings
- Monotone Optimisation with Learned Projections
- The hyper-scaled NLP bound for maximum-entropy remote sampling
- The Epistemic Planning Domain Definition Language: Official Guideline
- A Theory of Universal Agnostic Learning
- Parametric Quantum State Tomography with HyperRBMs
- Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review
- Noninvasive Intracranial Pressure Estimation Using Subspace System Identification and Bespoke Machine Learning Algorithms: A Learning-to-Rank Approach
- Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
- Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMs
- Leveraging Generative AI for Enhancing Domain-Driven Software Design
- TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins
- Denoising and Baseline Correction of Low-Scan FTIR Spectra: A Benchmark of Deep Learning Models Against Traditional Signal Processing
- ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Helps Cardiac Disease Classification and Phenotype Prediction
- Text-only adaptation in LLM-based ASR through text denoising
- Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection
- Faster Predictive Coding Networks via Better Initialization
- Is Parameter Isolation Better for Prompt-Based Continual Learning?
- A generative machine learning model for designing metal hydrides applied to hydrogen storage
- ATTNSOM: Learning Cross-Isoform Attention for Cytochrome P450 Site-of-Metabolism
- SW-ASR: A Context-Aware Hybrid ASR Pipeline for Robust Single Word Speech Recognition
- Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
- IDE-Bench: Evaluating Large Language Models as IDE Agents on Real-World Software Engineering Tasks
- Evolutionary Strategies lead to Catastrophic Forgetting in LLMs
- When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation
- Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation
- C3Box: A CLIP-based Class-Incremental Learning Toolbox
- Post-Training Fairness Control: A Single-Train Framework for Dynamic Fairness in Recommendation
- A New Dataset and Framework for Robust Road Surface Classification via Camera-IMU Fusion
- PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
- ℝ2k is Theoretically Large Enough for Embedding-based Top-k Retrieval
- Deep Researcher with Sequential Plan Reflection and Candidates Crossover (Deep Researcher Reflect Evolve)
- Open-Vocabulary Functional 3D Human-Scene Interaction Generation
- Linear representations in language models can change dramatically over a conversation
- VSCOUT: A Hybrid Variational Autoencoder Approach to Outlier Detection in High-Dimensional Retrospective Monitoring
- Demystifying Prediction Powered Inference
- GNN Explanations that do not Explain and How to find Them
- Context-Augmented Code Generation Using Programming Knowledge Graphs
- Structured Semantic Information Helps Retrieve Better Examples for In-Context Learning Applied to Few-Shot Relation Extraction
- Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces
- A Methodology for Designing Knowledge-Driven Missions for Robots
- Jurisdiction as Structural Barrier: How Privacy Policy Organization May Reduce Visibility of Substantive Disclosures
- Neural Quantum States in Mixed Precision
- Independence of Approximate Clones
- Active Learning for Decision Trees with Provable Guarantees
- When More Data Doesn't Help: Limits of Adaptation in Multitask Learning
- Smoothing the Black-Box: Signed-Distance Supervision for Black-Box Model Copying
- COMET-SG1: Lightweight Autoregressive Regressor for Edge and Embedded AI
- Cross-Country Learning for National Infectious Disease Forecasting Using European Data
- Leveraging Second-Order Curvature for Efficient Learned Image Compression: Theory and Empirical Evidence
- Like a Therapist, But Not: Reddit Narratives of AI in Mental Health Contexts
- HESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs
- Compression Tells Intelligence: Visual Coding, Visual Token Technology, and the Unification
- SA-PEF: Step-Ahead Partial Error Feedback for Efficient Federated Learning
- Implementing Metric Temporal Answer Set Programming
- QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion Tasks
- Deep Semi-Supervised Survival Analysis for Predicting Cancer Prognosis
- Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction
- A scalable flow-based approach to mitigate topological freezing
- Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs
- Enterprise Resource Planning Using Multi-type Transformers in Ferro-Titanium Industry
- Is Pure Exploitation Sufficient in Exogenous MDPs with Linear Function Approximation?
- Optimal Transport Group Counterfactual Explanations
- MuRAL-CPD: Active Learning for Multiresolution Change Point Detection
- Polite But Boring? Trade-offs Between Engagement and Psychological Reactance to Chatbot Feedback Styles
- Online Density-Based Clustering for Real-Time Narrative Evolution Monitorin
- ShieldedCode: Learning Robust Representations for Virtual Machine Protected Code
- Efficient Multimodal Planning Agent for Visual Question-Answering
- Learning Contextual Runtime Monitors for Safe AI-Based Autonomy
- ProSkill: Segment-Level Skill Assessment in Procedural Videos
- A Dialectic Pipeline for Improving LLM Robustness
- FD-MAD: Frequency-Domain Residual Analysis for Face Morphing Attack Detection
- An Empirical Investigation of Neural ODEs and Symbolic Regression for Dynamical Systems
- A Scalable Multi-Task Model for Virtual Sensors
- Sparse clustering via the Deterministic Information Bottleneck algorithm
- DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
- Trigger Optimization and Event Classification for Dark Matter Searches in the CYGNO Experiment Using Machine Learning
- GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection
- ACFormer: Mitigating Non-linearity with Auto Convolutional Encoder for Time Series Forecasting
- CoBA: Integrated Deep Learning Model for Reliable Low-Altitude UAV Classification in mmWave Radio Networks
- R-GTD: A Geometric Analysis of Gradient Temporal-Difference Learning in Singular Regimes
- Person Re-ID in 2025: Supervised, Self-Supervised, and Language-Aligned. What Works?
- StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval
- A Computational Approach to Language Contact -- A Case Study of Persian
- Exact Graph Learning via Integer Programming
- Single-Nodal Spontaneous Symmetry Breaking in NLP Models
- Inequality in Congestion Games with Learning Agents
- SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
- Fast and Efficient Asynchronous Gossip Algorithm for Robust and Non-Smooth Convex Decentralized Learning
- Unsupervised Ensemble Learning Through Deep Energy-based Models
- Online Risk-Averse Planning in POMDPs Using Iterated CVaR Value Function
- DeepSeek-OCR 2: Visual Causal Flow
- IoT Device Identification with Machine Learning: Common Pitfalls and Best Practices
- Beyond Divergent Creativity: A Human-Based Evaluation of Creativity in Large Language Models
- Incorporating data drift to perform survival analysis on credit risk
- Spectral Bayesian Regression on the Sphere
- IOTA: Corrective Knowledge-Guided Prompt Learning via Black-White Box Framework
- AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors
- Say Cheese! Detail-Preserving Portrait Collection Generation via Natural Language Edits
- Audio Deepfake Detection in the Age of Advanced Text-to-Speech models
- Latent Temporal Discrepancy as Motion Prior: A Loss-Weighting Strategy for Dynamic Fidelity in T2V
- Comparative evaluation of training strategies using partially labelled datasets for segmentation of white matter hyperintensities and stroke lesions in FLAIR MRI
- Leveraging Differentiable PDE Solvers for Semi-Neural Spatial Reconstruction From Sparse Measurements
- Bounded Normative Equivalence in Human-AI Cooperation: Group Behaviour, Not Partner Labels, Predicts Cooperation under Anonymous Aggregate Feedback
- An explainable framework for the relationship between dementia and glucose metabolism patterns
- Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations
- When Looks Do Not Lie: Discourse Structure Guided In-Context Learning for Faithful Diagram Generation
- Exploiting the Final Component of Generator Architectures for AI-Generated Image Detection
- MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues
- Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations
- TimeCatcher: A Variational Framework for Volatility-Aware Forecasting of Non-Stationary Time Series
- Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding
- Self Voice Conversion as an Attack against Neural Audio Watermarking
- Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding
- GRTX: Efficient Ray Tracing for 3D Gaussian-Based Rendering
- Nonlinear Dimensionality Reduction with Diffusion Maps in Practice
- Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance
- Hopes and Fears -- Emotion Distribution in the Topic Landscape of Finnish Parliamentary Speech 2000-2020
- Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion
- SpeechMapper: Speech-to-text Embedding Projector for LLMs
- AWGformer: Adaptive Wavelet-Guided Transformer for Multi-Resolution Time Series Forecasting
- Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT
- GuideAI: A Real-time Personalized Learning Solution with Adaptive Interventions
- ScatterFusion: A Hierarchical Scattering Transform Framework for Enhanced Time Series Forecasting
- Convergence Analysis of Randomized Subspace Normalized SGD under Heavy-Tailed Noise
- FedRD: Reducing Divergences for Generalized Federated Learning via Heterogeneity-aware Parameter Guidance
- Graph-Structured Deep Learning Framework for Multi-task Contention Identification with High-dimensional Metrics
- HINT: Hierarchical Interaction Modeling for Autoregressive Multi-Human Motion Generation
- RepSFNet : A Single Fusion Network with Structural Reparameterization for Crowd Counting
- Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models
- Dual-Modality IoT Framework for Integrated Access Control and Environmental Safety Monitoring with Real-Time Cloud Analytics
- Switchcodec: Adaptive residual-expert sparse quantization for high-fidelity neural audio coding
- TINNs: Time-Induced Neural Networks for Solving Time-Dependent PDEs
- CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided Regularization
- Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models
- PalmBridge: A Plug-and-Play Feature Alignment Framework for Open-Set Palmprint Verification
- MMSF: Multitask and Multimodal Supervised Framework for WSI Classification and Survival Analysis
- Multimodal Multi-Agent Ransomware Analysis Using AutoGen
- Are Whitepaper Claims Reflected in Market Structure? A Contamination-Aware Pipeline and a Power-Limited Null
- Test-Time Adaptation for Anomaly Segmentation via Topology-Aware Optimal Transport Chaining
- GVGS: Gaussian Visibility-Aware Multi-View Geometry for Accurate Surface Reconstruction
- PsychePass: Calibrating LLM Therapeutic Competence via Trajectory-Anchored Tournaments
- ECG-Agent: On-Device Tool-Calling Agent for ECG Multi-Turn Dialogue
- CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting
- DiagLink: A Dual-User Diagnostic Assistance System by Synergizing Experts with LLMs and Knowledge Graphs
- Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches
- Endogenous Reprompting: Self-Evolving Cognitive Alignment for Unified Multimodal Models
- Physically Guided Visual Mass Estimation from a Single RGB Image
- Bridging the Applicator Gap with Data-Doping:Dual-Domain Learning for Precise Bladder Segmentation in CT-Guided Brachytherapy
- Towards Compact and Robust DNNs via Compression-aware Sharpness Minimization
- Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
- Artifact-Aware Evaluation for High-Quality Video Generation
- Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics -- Rotating Detonation Engines
- A Learning-based Framework for Spatial Impulse Response Compensation in 3D Photoacoustic Computed Tomography
- A Source-Free Approach for Domain Adaptation via Multiview Image Transformation and Latent Space Consistency
- One Word is Enough: Minimal Adversarial Perturbations for Neural Text Ranking
- The Forecast After the Forecast: A Post-Processing Shift in Time Series
- RusLICA: A Russian-Language Platform for Automated Linguistic Inquiry and Category Analysis
- Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging
- Robust SDE Parameter Estimation Under Missing Time Information Setting
- SoftHateBench: Evaluating Moderation Models Against Reasoning-Driven, Policy-Compliant Hostility
- HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench
- Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy
- Efficient Evaluation of LLM Performance with Statistical Guarantees
- BLENDER: Blended Text Embeddings and Diffusion Residuals for Intra-Class Image Synthesis in Deep Metric Learning
- How AI Impacts Skill Formation
- MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation
- Visual Prompt-Agnostic Evolution
- Certificate-Guided Pruning for Stochastic Lipschitz Optimization
- Proactive SFC Provisioning with Forecast-Driven DRL in Data Centers
- Quantum statistics from classical simulations via generative Gibbs sampling
- ProFlow: Zero-Shot Physics-Consistent Sampling via Proximal Flow Guidance
- Parametric and Generative Forecasts of EPEX Day-Ahead Energy Market Curves
- An Accounting Identity for Algorithmic Fairness
- Minimum-Cost Network Flow with Dual Predictions
- Bias-Reduced Estimation of Finite Mixtures: An Application to Latent Group Structures in Panel Data
- Automated Marine Biofouling Assessment: Benchmarking Computer Vision and Multimodal LLMs on the Level of Fouling Scale
- Improving X-Codec-2.0 for Multi-Lingual Speech: 25 Hz Latent Rate and 24 kHz Sampling
- On the Computational Complexity of Performative Prediction
- Causal-Driven Feature Evaluation for Cross-Domain Image Classification
- NeuraLSP: A Neural Spectral Preconditioner for Accelerating PDE Solvers
- MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
- Loss Landscape Geometry of Partial Differential Equation Emulators: Or, Symmetry Learning via Gradient Alignment
- Local Duality for Sparse Support Vector Machines
- Contextuality as an External Bookkeeping Cost under Fixed Shared-State Semantics
- PASS: Certified Subset Repair for Classical and Quantum Pairwise Constrained Clustering
- Spectral Ghost in Representation Learning: from Component Analysis to Self-Supervised Learning
- Concentration Inequalities for Exchangeable Tensors and Matrix-valued Data
- LogSieve: Task-Aware CI Log Reduction for Sustainable LLM-Based Analysis
- Mind the Shift: Using Delta SSL Embeddings to Enhance Child ASR
- Large language models accurately predict public perceptions of support for climate action worldwide
- Scaling Next-Brain-Token Prediction for MEG