Papers
Thu 12 Feb 2026
446 papers
- SPIRE: Structure-Preserving Interpretable Retrieval of EvidenceRetrieval-augmented generation → Multimodal RAG
- MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge ScenariosMixture-of-experts → Efficient MoE training and inference systems
- Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse SnapshotsWorld models → Embodied and robot world models
- FireRed-Image-Edit-1.0 Technical ReportDiffusion models → Image generation, text-to-image and editing
- Continuous Diffusion Models Can Obey Formal SyntaxDiffusion models → Discrete and text diffusion
- Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics ModelsDeep reinforcement learning methods → Safe and constrained RL
- Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path ForwardLLM agents and tool use → Agent skill learning and evolution
- CacheMind: From Miss Rates to Why -- Natural-Language, Trace-Grounded Reasoning for Cache ReplacementLLM reasoning → Test-time compute and efficient thinking +1
- Sparse Autoencoders are Capable LLM Jailbreak MitigatorsLLM safety and security → Jailbreaking +1
- Self-Refining Vision Language Model for Robotic Failure Detection and ReasoningLLM reasoning → Spatial and embodied reasoning +1
- MonoLoss: A Training Objective for Interpretable Monosemantic RepresentationsMechanistic interpretability → SAE features and their applications
- AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- What does RL improve for Visual Reasoning? A Frankenstein-Style AnalysisLLM reasoning → Multimodal reasoning +1
- Reproducing DragDiffusion: Interactive Point-Based Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Value Bonuses using Ensemble Errors for Exploration in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Wireless TokenCom: RL-Based Tokenizer Agreement for Multi-User Wireless Token CommunicationsDeep reinforcement learning methods → RL for energy, networks and operations
- ForeAct: Steering Your VLA with Efficient Visual Foresight PlanningVision-language-action models → World model-based VLA
- Abstractive Red-Teaming of Language Model CharacterLLM safety and security → Prompt injection and agent security
- AgenticShop: Benchmarking Agentic Product Curation for Personalized Web ShoppingLLM agents and tool use → Social simulation and multi-agent debate
- Perceptual Self-Reflection in Agentic Physics Simulation Code GenerationLLM agents and tool use → Multimodal and embodied agents
- Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action AlignmentVision-language-action models → Failure recovery and robustness
- UniT: Unified Multimodal Chain-of-Thought Test-time ScalingLLM reasoning → Multimodal reasoning
- AttentionRetriever: Attention Layers are Secretly Long Document RetrieversRetrieval-augmented generation → Generation and context integration
- Agentic Test-Time Scaling for WebAgentsLLM reasoning → Reasoning for agents, planning and code +1
- On-Policy Context Distillation for Language ModelsKnowledge distillation → On-policy and self-distillation for LLMs
- Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and StorageDiffusion models → Flow matching, time series and science
- MonarchRT: Efficient Attention for Real-Time Video GenerationDiffusion models → Video generation
- CM2: Reinforcement Learning with Checklist Rewards for Multi-Turn and Multi-Step Agentic Tool UseLLM agents and tool use → Reinforcement learning for LLM agents
- Few-Step Diffusion Language Models via Trajectory Self-DistillationDiffusion models → Discrete and text diffusion +2
- Think like a Scientist: Physics-guided LLM Agent for Equation DiscoveryLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Detecting Overflow in Compressed Token Representations for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- Categorical Flow MapsDiffusion models → Flow matching, time series and science +1
- Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy OptimiserDiffusion models → Diffusion and flow policies for robotics
- Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow MatchingLLM reasoning → Multimodal reasoning +1
- The Observer Effect in World Models: Invasive Adaptation Corrupts Latent PhysicsWorld models → Latent predictive world models
- Visual Reasoning Benchmark: Evaluating Multimodal LLMs on Classroom-Authentic Visual Problems from Primary EducationLLM reasoning → Multimodal reasoning +1
- MalTool: Malicious Tool Attacks on LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash EquilibriaDeep reinforcement learning methods → RL for games and combinatorial optimization
- How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative DynamicsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Pedagogically-Inspired Data Synthesis for Language Model Knowledge DistillationSynthetic data and self-improvement for LLMs → Code and instruction data synthesis +1
- Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse SupervisionLLM reasoning → Mathematical reasoning
- 3DGSNav: Enhancing Vision-Language Model Reasoning for Object Navigation via Active 3D Gaussian SplattingLLM reasoning → Spatial and embodied reasoning +1
- SafeNeuron: Neuron-Level Safety Alignment for Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- TexSpot: 3D Texture Enhancement with Spatially-uniform Point Latent RepresentationDiffusion models → 3D, point cloud and scene generation
- FAIL: Flow Matching Adversarial Imitation Learning for Image GenerationDiffusion models → Diffusion and flow policies for robotics +2
- OServe: Accelerating LLM Serving via Spatial-Temporal Workload OrchestrationEfficient LLM inference and serving → Serving systems and request scheduling
- Seq2Seq2Seq: Lossless Data Compression via Discrete Latent Transformers and Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- On the Adoption of AI Coding Agents in Open-source Android and iOS DevelopmentLLM agents and tool use → Software engineering coding agents
- STAR : Bridging Statistical and Agentic Reasoning for Large Model Performance PredictionLLM reasoning → Reasoning for agents, planning and code +1
- BlackCATT: Black-box Collusion Aware Traitor Tracing in Federated LearningLLM safety and security → Federated unlearning and poisoning
- WavBench: Benchmarking Reasoning, Colloquialism, and Paralinguistics for End-to-End Spoken Dialogue ModelsLLM reasoning → Audio-language model reasoning
- Value Alignment Tax: Measuring Value Trade-offs in LLM AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Learning beyond Teacher: Generalized On-Policy Distillation with Reward ExtrapolationKnowledge distillation → On-policy and self-distillation for LLMs +1
- Alignment Risks from Capability-Seeking RL TrainingLLM safety and security → Safety alignment, refusal and guardrails
- P-GenRM: Personalized Generative Reward Model with Test-time User-based ScalingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated PenaltyLLM reasoning → Test-time compute and efficient thinking
- On the Complexity of Offline Reinforcement Learning with Q^star-Approximation and Partial CoverageOffline RL and imitation learning from data → Offline RL algorithms
- GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement LearningWorld models → Embodied and robot world models +1
- Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party NegotiationLLM agents and tool use → Social simulation and multi-agent debate
- Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RLDeep reinforcement learning methods → Deep RL algorithms and representations
- Differentiable Modal Logic for Multi-Agent Diagnosis, Orchestration and CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Tiny Recursive Reasoning with Mamba-2 Attention HybridLLM reasoning → Test-time compute and efficient thinking +1
- VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World ModelWorld models → Embodied and robot world models +1
- HoloBrain-0 Technical ReportVision-language-action models → Generalist VLA models and benchmarks
- LawThinker: A Deep Research Legal Agent in Dynamic EnvironmentsLLM reasoning → Reasoning for agents, planning and code
- Fourier Transformers for Latent Crystallographic Diffusion and Generative ModelingDiffusion models → Flow matching, time series and science
- PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Protein Circuit Tracing via Cross-layer TranscodersMechanistic interpretability → Interpreting biomedical and science models
- InjectRBP: Steering Large Language Model Reasoning Behavior via Pattern InjectionLLM reasoning → Test-time compute and efficient thinking
- Can Local Vision-Language Models improve Activity Recognition over Vision Transformers? -- Case Study on Newborn ResuscitationMultimodal LLMs / vision-language models → Medical vision-language models
- Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?LLM agents and tool use → Software engineering coding agents
- Spatial Chain-of-Thought: Bridging Understanding and Generation Models for Spatial Reasoning GenerationLLM reasoning → Multimodal reasoning +1
- Accelerating Robotic Reinforcement Learning with Agent GuidanceDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous EnvironmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Wisdom of the LLM Crowd: A Large Scale Benchmark of Multi-Label U.S. Election-Related Harmful Social Media ContentLLM safety and security → Safety alignment, refusal and guardrails
- Benchmarking Vision-Language Models for French PDF-to-Markdown ConversionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Synthesis of Late Gadolinium Enhancement Images via Implicit Neural Representations for Cardiac Scar SegmentationDiffusion models → Medical imaging and segmentation
- Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS AccelerationLLM reasoning → Test-time compute and efficient thinking +1
- AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model SelectionLLM reasoning → Reasoning for agents, planning and code +1
- TADA! Tuning Audio Diffusion Models through Activation SteeringDiffusion models → Audio, speech and music +1
- Echo: Towards Advanced Audio Comprehension via Audio-Interleaved ReasoningLLM reasoning → Audio-language model reasoning
- Mitigating Mismatch within Reference-based Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Agentic AI for Cybersecurity: A Meta-Cognitive Architecture for Governable AutonomyLLM agents and tool use → Agent threats, guardrails and governance
- Where Bits Matter in World Model Planning: A Paired Mixed-Bit Study for Efficient Spatial ReasoningWorld models → World models for language agents +1
- From Atoms to Trees: Building a Structured Feature Forest with Hierarchical Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- DiffPlace: Street View Generation via Place-Controllable Diffusion Model Enhancing Place RecognitionDiffusion models → Diffusion and flow policies for robotics
- LAMP: Implicit Language Map for Robot NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Talk2DM: Enabling Natural Language Querying and Commonsense Reasoning for Vehicle-Road-Cloud Integrated Dynamic Maps with Large Language ModelsLLM reasoning → Chain-of-thought reasoning for driving
- Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal PerceptionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Free Lunch for Stabilizing Rectified Flow InversionDiffusion models → Image generation, text-to-image and editing
- JEPA-VLA: Video Predictive Embedding is Needed for VLA ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Predicting LLM Output Length via Entropy-Guided RepresentationsEfficient LLM inference and serving → Serving systems and request scheduling
- Deep Kernel Fusion for TransformersLLM agents and tool use → Software engineering coding agents
- PuYun-LDM: A Latent Diffusion Model for High-Resolution Ensemble Weather ForecastsDiffusion models → Flow matching, time series and science
- From Path Signatures to Sequential Modeling: Incremental Signature Contributions for Offline RLOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Temporal Difference Learning with Constrained Initial RepresentationsDeep reinforcement learning methods → Deep RL algorithms and representations
- More Haste, Less Speed: Weaker Single-Layer Watermark Improves Distortion-Free Watermark EnsemblesLLM safety and security → Watermarking generated content and models
- Detecting RLVR Training Data via Structural Convergence of ReasoningLLM reasoning → Reinforcement learning for reasoning
- Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video GenerationLLM agents and tool use → Multimodal and embodied agents
All 446
- Evaluating LLM Safety Under Repeated Inference via Accelerated Prompt Stress TestingLLM safety and security → Safety alignment, refusal and guardrails
- FlowMind: Execute-Summarize for Structured Workflow Generation from LLM ReasoningLLM reasoning → Reasoning for agents, planning and code
- Light4D: Training-Free Extreme Viewpoint 4D Video RelightingDiffusion models → 3D, point cloud and scene generation
- TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World ModelWorld models → Humanoid and legged locomotion world models
- Cooperation Breakdown in LLM Agents Under Communication DelaysLLM agents and tool use → General LLM agent frameworks and benchmarks
- Building Intelligent User Interfaces for Human-AI AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- AmbiBench: Benchmarking Mobile GUI Agents Beyond One-Shot Instructions in the WildLLM agents and tool use → GUI and mobile agents
- AIR: Improving Agent Safety through Incident ResponseLLM agents and tool use → Agent threats, guardrails and governance
- Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking +1
- Adaptive Debiasing Tsallis Entropy for Test-Time AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Mask What Matters: Mitigating Object Hallucinations in Multimodal Large Language Models with Object-Aligned Visual Contrastive DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm CoordinationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Adapting Vision-Language Models for E-commerce Understanding at ScaleMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Thinking with Drafting: Optical Decompression via Logical ReconstructionLLM reasoning → Multimodal reasoning +1
- STVG-R1: Incentivizing Instance-Level Reasoning and Grounding in Videos via Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- WebTestPilot: Agentic End-to-End Web Testing against Natural Language Specification by Inferring Oracles with Symbolized GUI ElementsLLM agents and tool use → Software engineering coding agents
- Estimation of instrument and noise parameters for inverse problem based on prior diffusion modelDiffusion models → Inverse problems and image restoration
- Semantically Conditioned Diffusion Models for Cerebral DSA SynthesisDiffusion models → Medical imaging and segmentation
- GORGO: Online Tuning for Cross-Region Network-Aware LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts TrainingMixture-of-experts → Efficient MoE training and inference systems
- ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete SpacesLLM reasoning → Test-time compute and efficient thinking
- Provable Offline Reinforcement Learning for Structured Cyclic MDPsOffline RL and imitation learning from data → Offline RL algorithms
- Beyond Pixels: Vector-to-Graph Transformation for Reliable Schematic AuditingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Epistemic Regret Minimization: Label-Free Causal Critique Beyond Outcome RewardLLM reasoning → Causal reasoning in LLMs
- RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape RetrievalState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- PhyNiKCE: A Neurosymbolic Agentic Framework for Autonomous Computational Fluid DynamicsLLM agents and tool use → Web, search, and research agents
- Quark Medical Alignment: A Holistic Multi-Dimensional Alignment and Collaborative Optimization ParadigmLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous drivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
- GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET ReconstructionDiffusion models → Medical imaging and segmentation
- PACE: Prefix-Protected and Difficulty-Aware Compression for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Do MLLMs Really Understand Space? A Mathematical Reasoning EvaluationLLM reasoning → Spatial and embodied reasoning +1
- Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-ExpertsMixture-of-experts → Vision mixture-of-experts
- When Agents Disagree With Themselves: Behavioral Consistency as an Uncertainty Signal for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and DiscoveryLLM reasoning → Clinical and biomedical applications
- MAPLE: Modality-Aware Post-training and Learning EcosystemMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Learn from Your Mistakes: Self-Correcting Masked Diffusion ModelsDiffusion models → Discrete and text diffusion
- The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Learning to Configure Agentic AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency ExpertsDiffusion models → Video generation
- SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search AgentLLM agents and tool use → Web, search, and research agents +1
- Native Reasoning Models: Training Language Models to Reason on Unverifiable DataLLM reasoning → Reinforcement learning for reasoning
- TC-BiMamba: Trans-Chunk bidirectionally within BiMamba for unified streaming and non-streaming ASRState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Supervise-assisted Multi-modality Fusion Diffusion Model for PET RestorationDiffusion models → Medical imaging and segmentation
- Pretraining A Large Language Model using Distributed GPUs: A Memory-Efficient Decentralized ParadigmMixture-of-experts → Efficient MoE training and inference systems
- Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool UseLLM agents and tool use → Tool learning and function calling
- PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Adaptive Milestone Reward for GUI AgentsLLM agents and tool use → GUI and mobile agents +1
- Unifying Stable Optimization and Reference Regularization in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- PAM: Processing Across Memory Hierarchy for Efficient KV-centric LLM Serving SystemEfficient LLM inference and serving → KV cache optimization
- Human-Inspired Continuous Learning of Internal Reasoning Processes: Learning How to Think for Adaptive AI SystemsLLM reasoning → Test-time compute and efficient thinking
- AgentLeak: A Benchmark for Internal-Channel Privacy Leakage in Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Multimodal Fact-Level Attribution for Verifiable ReasoningLLM reasoning → Multimodal reasoning +1
- What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through GenerationLLM reasoning → Multimodal reasoning +2
- Jailbreaking Leaves a Trace: Understanding and Detecting Jailbreak Attacks from Internal Representations of Large Language ModelsLLM safety and security → Jailbreaking +1
- SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech SynthesisDiffusion models → Audio, speech and music
- EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human VideosOffline RL and imitation learning from data → Robot manipulation imitation learning
- Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM ReasoningLLM reasoning → Multimodal reasoning +1
- From Noise to Order: Learning to Rank via Denoising DiffusionDiffusion models → Discrete and text diffusion
- IMAGAgent: Orchestrating Multi-Turn Image Editing via Constraint-Aware Planning and Reflection
- Your Robot Will Feel You Now: Empathy in Robots and Embodied Agents
- Quantifying Hallucinations in Language Language Models on Medical Textbooks
- The Dunning-Kruger Effect in Large Language Models: An Empirical Study of Confidence Calibration
- An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
- ALADIN: Accuracy-Latency-Aware Design-space Inference Analysis for Embedded AI Accelerators
- The Value Sensitivity Gap: How Clinical Large Language Models Respond to Patient Preference Statements in Shared Decision-Making
- Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem
- Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries
- Spectral Homogenization of the Radiative Transfer Equation via Low-Rank Tensor Train Decomposition
- Reconstructing Carbon Monoxide Reanalysis with Machine Learning
- A Formal Framework for the Explanation of Finite Automata Decisions
- Detecting Brick Kiln Infrastructure at Scale: Graph, Foundation, and Remote Sensing Models for Satellite Imagery Data
- From Prompt to Production:Automating Brand-Safe Marketing Imagery with Text-to-Image Models
- Exploring the Performance of ML/DL Architectures on the MNIST-1D Dataset
- CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis
- BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents
- An Integrated Causal Inference Framework for Traffic Safety Modeling with Semantic Street-View Visual Features
- Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models
- Modeling The Object Representations Underlying Human Physical Reasoning
- A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification
- Geometric separation and constructive universal approximation with two hidden layers
- Task- and Metric-Specific Signal Quality Indices for Medical Time Series
- Not a Silver Bullet for Loneliness: How Attachment and Age Shape Intimacy with AI Companions
- Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension
- Designing RNAs with Language Models
- Regularized Meta-Learning for Improved Generalization
- Probabilistic Design of Parametrized Quantum Circuits through Local Gate Modifications
- Correctness, Artificial Intelligence, and the Epistemic Value of Mathematical Proof
- Semantic-aware Adversarial Fine-tuning for CLIP
- Computationally sufficient statistics for Ising models
- RBCorr: Response Bias Correction in Language Models
- Prototype-driven fusion of pathology and spatial transcriptomics for interpretable survival prediction
- Neural and numerical methods for G2-structures on contact Calabi-Yau 7-manifolds
- Stabilizing Native Low-Rank LLM Pretraining
- Interference-Robust Non-Coherent Over-the-Air Computation for Decentralized Optimization
- RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
- Intent-Driven Smart Manufacturing Integrating Knowledge Graphs and Large Language Models
- propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale
- Soft Contamination Means Benchmarks Test Shallow Generalization
- Proceedings for the Inaugural Meeting of the International Society for Tractography -- IST 2025 Bordeaux
- MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery
- ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning
- Synthetic Interaction Data for Scalable Personalization in Large Language Models
- High-dimensional Level Set Estimation with Trust Regions and Double Acquisition Functions
- Rational Neural Networks have Expressivity Advantages
- Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting
- Accelerating Feedback-based Algorithms for Quantum Optimization Using Gradient Descent
- Provably Convergent Actor-Critic for MARL through Risk-aversion
- Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
- Synthetic Image Detection with CLIP: Understanding and Assessing Predictive Cues
- TFT-ACB-XML: Decision-Level Integration of Customized Temporal Fusion Transformer and Attention-BiLSTM with XGBoost Meta-Learner for BTC Price Forecasting
- Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
- Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
- LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens
- A Machine Learning Approach to the Nirenberg Problem
- Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring
- A Theoretical Framework for Adaptive Utility-Weighted Benchmarking
- LongNav-R1: Horizon-Adaptive Multi-Turn RL for Long-Horizon VLA Navigation
- Variational Green's Functions for Volumetric PDEs
- Intrinsic Credit Assignment for Long Horizon Interaction
- The Appeal and Reality of Recycling LoRAs with Adaptive Merging
- Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement
- GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
- LatentAM: Real-Time, Large-Scale Latent Gaussian Attention Mapping via Online Dictionary Learning
- Visible and Hyperspectral Imaging for Quality Assessment of Milk: Property Characterisation and Identification
- Quantum walk inspired JPEG compression of images
- OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization
- OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model
- Stroke of Surprise: Progressive Semantic Illusions in Vector Sketching
- Learning to Control: The iUzawa-Net for Nonsmooth Optimal Control of Linear PDEs
- Creative Ownership in the Age of AI
- Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
- On the implicit regularization of Langevin dynamics with projected noise
- Is Online Linear Optimization Sufficient for Strategic Robustness?
- A technical curriculum on language-oriented artificial intelligence in translation and specialised communication
- Community Concealment from Graph Neural Networks
- "Sorry, I Didn't Catch That": How Speech Models Miss What Matters Most
- ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction
- Intrinsic-Energy Joint Embedding Predictive Architectures Induce Quasimetric Spaces
- Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications
- Olmix: A Framework for Data Mixing Throughout LM Development
- Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
- Two-Sided Time-Independent Regret for Matching Markets with Limited Interviews
- Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training
- VIRENA: Virtual Arena for Research, Education, and Democratic Innovation
- DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing
- Learning to Forget Attention: Memory Consolidation for Adaptive Compute Reduction
- ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images
- Query-focused and Memory-aware Reranker for Long Context Processing
- WaveFormer: Wavelet Embedding Transformer for Biomedical Signals
- SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization
- EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data
- SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation
- Statistical Parsing for Logical Information Retrieval
- Amortized Molecular Optimization via Group Relative Policy Optimization
- DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation
- dVoting: Fast Voting for dLLMs
- GPT-4o Lacks Core Features of Theory of Mind
- It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
- Oscillators Are All You Need: Irregular Time Series Modelling via Damped Harmonic Oscillators with Closed-Form Solutions
- CitiLink-Minutes: A Multilayer Annotated Dataset of Municipal Meeting Minutes
- Neutral Prompts, Non-Neutral People: Quantifying Gender and Skin-Tone Bias in Gemini Flash 2.5 Image and GPT Image 1.5
- A Rule-based Computational Model for Gaidhlig Morphology
- Towards Personalized Bangla Book Recommendation: A Large-Scale Heterogeneous Book Graph Dataset
- HLA: Hadamard Linear Attention
- PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback
- Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
- Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning
- KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite
- Few-Shot Design Optimization by Exploiting Auxiliary Information
- The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context
- Iskra: A System for Inverse Geometry Processing
- AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer
- Multi Graph Search for High-Dimensional Robot Motion Planning
- DeepSight: An All-in-One LM Safety Toolkit
- Empirical Gaussian Processes
- PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
- ModelWisdom: An Integrated Toolkit for TLA+ Model Visualization, Digest and Repair
- Multi UAVs Preflight Planning in a Shared and Dynamic Airspace
- Improving HPC Code Generation Capability of LLMs via Online Reinforcement Learning with Real-Machine Benchmark Rewards
- Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
- A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments
- Improved Inference for CSDID Using the Cluster Jackknife
- The Implicit Bias of Logit Regularization
- An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
- Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
- Decomposition of Spillover Effects Under Misspecification: Pseudo-true Estimands and a Local-Global Extension
- Improved state mixing in higher-order and block diagonal linear recurrent networks
- Artificial intelligence is creating a new global linguistic hierarchy
- Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study
- FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client
- On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy
- LaCy: What Small Language Models Can and Should Learn is Not Just a Question of Loss
- CSEval: A Framework for Evaluating Clinical Semantics in Text-to-Image Generation
- Projected Representation Conditioning for High-fidelity Novel View Synthesis
- Momentum LMS Theory beyond Stationarity: Stability, Tracking, and Regret
- Automatic Simplification of Common Vulnerabilities and Exposures Descriptions
- Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis
- UPDA: Unsupervised Progressive Domain Adaptation for No-Reference Point Cloud Quality Assessment
- DHPLT: large-scale multilingual diachronic corpora and word representations for semantic change modelling
- Parameter-Efficient Temporal Domain Generalization
- Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models
- RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State
- Are Two LLMs Better Than One? A Student-Teacher Dual-Head LLMs Architecture for Pharmaceutical Content Optimization
- TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
- Insights on Muon from Simple Quadratics
- Change-Point Detection via Piecewise Linear Fitting Using MIP
- Towards Performance-Enhanced Model-Contrastive Federated Learning using Historical Information in Heterogeneous Scenarios
- Using predictive multiplicity to measure individual performance within the AI Act
- IncompeBench: A Permissively Licensed, Fine-Grained Benchmark for Music Information Retrieval
- Temporally Unified Adversarial Perturbations for Time Series Forecasting
- Do Large Language Models Adapt to Language Variation across Socioeconomic Status?
- Who is the richest club in the championship? Detecting and Rewriting Underspecified Questions Improve QA Performance
- Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text
- Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making
- Learning Conditional Averages
- DynaHOI: Benchmarking Hand-Object Interaction for Dynamic Target
- MEME: Modeling the Evolutionary Modes of Financial Markets
- AlphaPROBE: Alpha Mining via Principled Retrieval and On-graph biased evolution
- When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
- Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs: A Systematic Evaluation
- Learning Perceptual Representations for Gaming NR-VQA with Multi-Task FR Signals
- Benchmark Illusion: Disagreement among LLMs and Its Scientific Consequences
- Universal Diffusion-Based Probabilistic Downscaling
- LLM-based Triplet Extraction from Financial Reports
- SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training
- Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems
- DMAP: A Distribution Map for Text
- Intelligent AI Delegation
- In-Context Function Learning in Large Language Models
- A2V-SLP: Alignment-Aware Variational Modeling for Disentangled Sign Language Production
- Scale-Invariant Fast Convergence in Games
- Robust Optimization Approach and Learning Based Hide-and-Seek Game for Resilient Network Design
- Prototype Transformer: Towards Language Model Architectures Interpretable by Design
- Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks
- WorldTree: Towards 4D Dynamic Worlds from Monocular Video using Tree-Chains
- Improving Neural Retrieval with Attribution-Guided Query Rewriting
- ULTRA:Urdu Language Transformer-based Recommendation Architecture
- EqDeepRx: Learning a Scalable and Interference Mitigating MIMO Receiver
- Towards Sustainable Investment Policies Informed by Opponent Shaping
- CAAL: Confidence-Aware Active Learning for Heteroscedastic Atmospheric Regression
- A Comparative Study of MAP and LMMSE Estimators for Blind Inverse Problems
- How to Sample High Quality 3D Fractals for Action Recognition Pre-Training?
- Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data
- Structural Bias Beyond Homophily: A Study of Fairness in Link Prediction
- SpaTeoGL: Spatiotemporal Graph Learning for Interpretable Seizure Onset Zone Analysis from Intracranial EEG
- Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation
- A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments
- Latent-Variable Learning of SPDEs via Wiener Chaos
- Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
- Safe Fairness Guarantees Without Demographics in Classification: Spectral Uncertainty Set Perspective
- RELATE: A Reinforcement Learning-Enhanced LLM Framework for Advertising Text Generation
- Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning
- MUSE: Multi-Tenant Model Serving With Seamless Model Updates
- How to Optimize Multispecies Set Predictions in Presence-Absence Modeling ?
- MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
- Aggregate Models, Not Explanations: Improving Feature Importance Estimation
- TUBO: A Tailored ML Framework for Reliable Network Traffic Forecasting
- Code2Worlds: Empowering Coding LLMs for 4D World Generation
- High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
- Text2GraphQuery-Bench: A Text to Graph Query Benchmark
- U-Former ODE: Fast Probabilistic Forecasting of Irregular Time Series
- Cross-Architecture Model Diffing with Crosscoders: Unsupervised Discovery of Differences Between LLMs
- Dopamine: Brain Modes, Not Brains
- PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers
- Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging
- DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
- GSO-SLAM: Bidirectionally Coupled Gaussian Splatting and Direct Visual Odometry
- Potential-energy gating for robust state estimation in bistable stochastic systems
- LLM-Driven 3D Scene Generation of Agricultural Simulation Environments
- TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction
- U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction
- TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction
- Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models
- SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion
- OMEGA-Avatar: One-shot Modeling of 360deg Gaussian Avatars
- ANML: Attribution-Native Machine Learning with Guaranteed Robustness
- DRACO: a Cross-Domain Benchmark for Deep Research Accuracy, Completeness, and Objectivity
- PatientHub: A Unified Framework for Patient Simulation
- Benchmark Health Index: A Systematic Framework for Benchmarking the Benchmarks of LLMs
- U-Net with Hadamard Transform and DCT Latent Spaces for Next-day Wildfire Spread Prediction
- Egocentric Gaze Estimation via Neck-Mounted Camera
- Explainable Machine-Learning based Detection of Knee Injuries in Runners
- Fully First-Order Algorithms for Online Bilevel Optimization
- UMAP Is Spectral Clustering on the Fuzzy Nearest-Neighbor Graph
- Clutt3R-Seg: Sparse-view 3D Instance Segmentation for Language-grounded Grasping in Cluttered Scenes
- EmoSpace: Immersive Affective Image Generation Guided by Fine-Grained Emotion Prototypes
- LoRA-based Parameter-Efficient LLMs for Continuous Learning in Edge-based Malware Detection
- DMind-3: A Sovereign Edge--Local--Cloud AI System with Controlled Deliberation and Correction-Based Tuning for Safe, Low-Latency Transaction Execution
- Investigating Learner-Aware Design of LLM-Generated Educational Feedback
- Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks
- ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Visuomotor Learning
- Electrostatics-Inspired Surface Reconstruction (EISR): Recovering 3D Shapes as a Superposition of Poisson's PDE Solutions
- Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs
- Variation-aware Flexible 3D Gaussian Editing
- TIP: Resisting Gradient Inversion via Targeted Interpretable Perturbation in Federated Learning
- Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
- Neuro-Symbolic Multitasking: A Unified Framework for Discovering Generalizable Solutions to PDE Families
- GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
- PLESS: Pseudo-Label Enhancement with Spreading Scribbles for Weakly Supervised Segmentation
- ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning
- PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction
- TreeGrad-Ranker: Feature Ranking via O(L)-Time Gradients for Decision Trees
- How Well Do Large-Scale Chemical Language Models Transfer to Downstream Tasks?
- SkillRater: Untangling Capabilities in Multimodal Data
- Scene-Aware Memory Discrimination: Deciding Which Personal Knowledge Stays
- ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation
- A Large Language Model for Disaster Structural Reconnaissance Summarization
- Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization
- Analytical Search
- ReaDy-Go: Real-to-Sim Dynamic 3D Gaussian Splatting Simulation for Environment-Specific Visual Navigation with Moving Obstacles
- PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering
- SemaPop: Semantic-Persona Conditioned and Controllable Population Synthesis
- Move What Matters: Parameter-Efficient Domain Adaptation via Optimal Transport Flow for Collaborative Perception
- Brain4FMs: A Benchmark of Foundation Models for Electrical Brain Signal
- The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient
- HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds
- Perception-based Image Denoising via Generative Compression
- TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
- Real-Time Proactive Anomaly Detection via Forward and Backward Forecast Modeling
- Vascular anatomy-aware self-supervised pre-training for X-ray angiogram analysis
- Krause Synchronization Transformers
- AltTS: A Dual-Path Framework with Alternating Optimization for Multivariate Time Series Forecasting
- Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs
- CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference
- Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
- Calibration and Evaluation of Car-Following Models for Autonomous Shuttles Using a Novel Multi-Criteria Framework
- How Smart Is Your GUI Agent? A Framework for the Future of Software Interaction
- Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt
- RooflineBench: A Benchmarking Framework for On-Device LLMs via Roofline Analysis
- Calibrating an Imperfect Auxiliary Predictor for Unobserved No-Purchase Choice
- A Generic Framework for Fair Consensus Clustering in Streams
- Partial GFlowNet: Accelerating Convergence in Large State Spaces via Strategic Partitioning
- Arbitrary Ratio Feature Compression via Next Token Prediction
- Exploring Multiple High-Scoring Subspaces in Generative Flow Networks
- When Audio-LLMs Don't Listen: A Cross-Linguistic Study of Modality Arbitration
- Understanding Persuasive Interactions between Generative Social Agents and Humans: The Knowledge-based Persuasion Model (KPM)
- External Division of Two Bregman Proximity Operators for Poisson Inverse Problems
- Compiler-Guided Inference-Time Adaptation: Improving GPT-5 Programming Performance in Idris
- PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
- A Dual-Branch Framework for Semantic Change Detection with Boundary and Temporal Awareness
- Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning
- EM-Aware Physical Synthesis: Neural Inductor Modeling and Intelligent Placement & Routing for RF Circuits
- ADRD-Bench: A Preliminary LLM Benchmark for Alzheimer's Disease and Related Dementias
- Adaptive Power Iteration Method for Differentially Private PCA