Papers
Thu 19 Mar 2026
459 papers
- Soft-Label Governance for Distributional Safety in Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive DataEfficient LLM inference and serving → Prompt and context compression
- Correct Chains, Wrong Answers: Dissociating Reasoning from Output in LLM LogicLLM reasoning → Test-time compute and efficient thinking
- Mathematical Reasoning Enhanced LLM for Formula Derivation: A Case Study on Fiber NLI ModellinLLM reasoning → Mathematical reasoning
- Agentic AI in Engineering and Manufacturing: Industry Perspectives on Utility, Adoption, Challenges, and OpportunitiesLLM agents and tool use → Software engineering coding agents
- Multi-User Large Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SutureFormer: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel SpaceOffline RL and imitation learning from data → Safe offline RL
- UniFluids: Unified Neural Operator Learning with Conditional Flow-matchingDiffusion models → Flow matching, time series and science
- The Causal Impact of Tool Affordance on Safety Alignment in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +2
- VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Semantic Tool Discovery for Large Language Models: A Vector-Based Approach to MCP Tool SelectionLLM agents and tool use → Tool learning and function calling
- kRAIG: A Natural Language-Driven Agent for Automated DataOps Pipeline GenerationLLM agents and tool use → Web, search, and research agents
- BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Transferable Multi-Bit Watermarking Across Frozen Diffusion Models via Latent Consistency BridgesDiffusion models → Robustness, privacy and adversarial aspects +1
- InjectFlow: Weak Guides Strong via Orthogonal Injection for Flow MatchingDiffusion models → Flow matching, time series and science
- From Human Interfaces to Agent Interfaces: Rethinking Software Design in the Age of AI-Native SystemsLLM reasoning → Reasoning for agents, planning and code +1
- HCAG: Hierarchical Abstraction and Retrieval-Augmented Generation on Theoretical Repositories with LLMsRetrieval-augmented generation → RAG for code
- Collaborative Adaptive Curriculum for Progressive Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on ForgettingKnowledge distillation → Detection and dense prediction distillation
- ReXInTheWild: A Unified Benchmark for Medical Photograph UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models
- Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in Gastric Cancer AnalysisLLM reasoning → Clinical and biomedical applications +1
- Learning to Disprove: Formal Counterexample Generation with Large Language ModelsLLM reasoning → Mathematical reasoning
- Teaching an Agent to Sketch One Part at a TimeLLM agents and tool use → Agent skill learning and evolution
- Instruction-Free Tuning of Large Vision Language Models for Medical Instruction FollowingMultimodal LLMs / vision-language models → Medical vision-language models
- Narrative Aligned Long Form Video Question AnsweringMultimodal LLMs / vision-language models → Video understanding with MLLMs
- TRACE: Trajectory Recovery with State Propagation Diffusion for Urban MobilityDiffusion models → Diffusion and flow policies for robotics
- A Framework for Formalizing LLM Agent SecurityLLM agents and tool use → Agent threats, guardrails and governance +1
- ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Deep Hilbert--Galerkin Methods for Infinite-Dimensional PDEs and Optimal ControlDeep reinforcement learning methods → RL theory and sample complexity
- Near-Equivalent Q-learning Policies for Dynamic Treatment RegimesDeep reinforcement learning methods → RL for clinical treatment and surgery
- Is Evaluation Awareness Just Format Sensitivity? Limitations of Probe-Based Evidence under Controlled Prompt StructureMechanistic interpretability → Probing deception, bias and beliefs
- The Autonomy Tax: Defense Training Breaks LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
- Automated Membership Inference Attacks (AutoMIA): Discovering MIA Signal Computations using LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Warm-Start Flow Matching for Guaranteed Fast Text/Image GenerationDiffusion models → Flow matching, time series and science
- Exploring the Agentic Frontier of Verilog Code GenerationLLM agents and tool use → Software engineering coding agents
- Diffusion-Guided Semantic Consistency for Multimodal HeterogeneityDiffusion models → Robustness, privacy and adversarial aspects
- Do Post-Training Algorithms Actually Differ? A Controlled Study Across Model Scales Uncovers Scale-Dependent Ranking InversionsLLM reasoning → Test-time compute and efficient thinking +1
- Generation Models Know Space: Unleashing Implicit 3D Priors for Scene UnderstandingLLM reasoning → Spatial and embodied reasoning +1
- Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action ModelsVision-language-action models → VLA architectures and generalization
- Cubic Discrete Diffusion: Discrete Visual Generation on High-Dimensional Representation TokensDiffusion models → Diffusion foundations and sampling
- Bridging Semantic and Kinematic Conditions with Diffusion-based Discrete Motion TokenizerDiffusion models → Video generation
- FinTradeBench: A Financial Reasoning Benchmark for LLMsLLM reasoning → Reasoning for agents, planning and code
- Spectrally-Guided Diffusion Noise SchedulesDiffusion models → Diffusion foundations and sampling
- Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy DistillationLLM agents and tool use → General LLM agent frameworks and benchmarks +2
- DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and UnderstandingWorld models → World models for autonomous driving +1
- Rethinking Vector Field Learning for Generative SegmentationDiffusion models → Medical imaging and segmentation
- RPiAE: A Representation-Pivoted Autoencoder Enhancing Both Image Generation and EditingDiffusion models → Diffusion foundations and sampling
- Tinted Frames: Question Framing Blinds Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- OmniVTA: Visuo-Tactile World Modeling for Contact-Rich Robotic ManipulationWorld models → Embodied and robot world models
- FASTER: Rethinking Real-Time Flow VLAsVision-language-action models → Efficient VLA inference and adaptation
- OS-Themis: A Scalable Critic Framework for Generalist GUI RewardsLLM agents and tool use → GUI and mobile agents +1
- Markov Potential Game and Multi-Agent Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular dataDiffusion models → Robustness, privacy and adversarial aspects +1
- Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA ModelsVision-language-action models → Generalist VLA models and benchmarks
- Box Maze: A Process-Control Architecture for Reliable LLM ReasoningLLM reasoning → Test-time compute and efficient thinking +2
- Few-shot Acoustic Synthesis with Multimodal Flow MatchingDiffusion models → Audio, speech and music
- SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware LimitsLLM agents and tool use → Software engineering coding agents
- DyMoE: Dynamic Expert Orchestration with Mixed-Precision Quantization for Efficient MoE Inference on EdgeMixture-of-experts → Efficient MoE training and inference systems
- Evaluating Counterfactual Strategic Reasoning in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language NavigationLLM agents and tool use → Multimodal and embodied agents
- Adaptive Auxiliary Prompt Blending for Target-Faithful Diffusion GenerationDiffusion models → Image generation, text-to-image and editing
- ADAPT: Attention Driven Adaptive Prompt Scheduling and InTerpolating Orthogonal Complements for Rare Concepts GenerationDiffusion models → Image generation, text-to-image and editing
- D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion DecodingDiffusion models → Discrete and text diffusion
- Implicit Patterns in LLM-Based Binary AnalysisLLM reasoning → Reasoning for agents, planning and code +1
- GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and ReasoningLLM reasoning → Spatial and embodied reasoning
- Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning ControlDeep reinforcement learning methods → Adversarial robustness and RL in finance
- A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM InferenceEfficient LLM inference and serving → Early exit and edge inference
- From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- On Optimizing Multimodal Jailbreaks for Spoken Language ModelsLLM safety and security → Audio jailbreaks and speech backdoors
- Revisiting Autoregressive Models for Generative Image ClassificationDiffusion models → Image generation, text-to-image and editing
- How Uncertainty Estimation Scales with Sampling in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- LuMamba: Latent Unified Mamba for Electrode Topology-Invariant and Efficient EEG ModelingState-space sequence models (S4, Mamba) → Physiological signal modeling
- TAU-R1: Visual Language Model for Traffic Anomaly UnderstandingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- DaPT: A Dual-Path Framework for Multilingual Multi-hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- SAVeS: Steering Safety Judgments in Vision-Language Models via Semantic CuesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Articulated-Body Dynamics Network: Dynamics-Grounded Prior for Robot LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SignAgent: Agentic LLMs for Linguistically-Grounded Sign Language Annotation and Dataset CurationLLM agents and tool use → General LLM agent frameworks and benchmarks
- MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- TerraScope: Pixel-Grounded Visual Reasoning for Earth ObservationLLM reasoning → Spatial and embodied reasoning +1
- SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs +1
- Rethinking MLLM Itself as a Segmenter with a Single Segmentation TokenMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time?LLM reasoning → Knowledge- and tool-augmented reasoning
- Security awareness in LLM agents: the NDAI zone caseLLM agents and tool use → Agent threats, guardrails and governance
- Hypothesis-Conditioned Query Rewriting for Decision-Useful RetrievalRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Foundations of Schr"odinger Bridges for Generative ModelingDiffusion models → Diffusion foundations and sampling
- CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You ThinkDiffusion models → Diffusion and flow policies for robotics +1
- MERGE: Guided Vision-Language Models for Multi-Actor Event Reasoning and Grounding in Human-Robot InteractionLLM reasoning → Spatial and embodied reasoning +1
- Maximum-Entropy Exploration with Future State-Action Visitation MeasuresDeep reinforcement learning methods → RL theory and sample complexity
- Context Bootstrapped Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Entropy trajectory shape predicts LLM reasoning reliability: A diagnostic study of uncertainty dynamics in chain-of-thoughtLLM reasoning → Test-time compute and efficient thinking
- Agentic Business Process Management: A Research ManifestoLLM agents and tool use → Software engineering coding agents
- Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflectionsLLM agents and tool use → Agent threats, guardrails and governance
- Safety-Guaranteed Imitation Learning from Nonlinear Model Predictive Control for Spacecraft Close Proximity OperationsOffline RL and imitation learning from data → Safe offline RL
- Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Parallelizing Tool Execution and LLM Generation for Low-Latency Agent ServingLLM agents and tool use → Software engineering coding agents
- Translating MRI to PET through Conditional Diffusion Models with Enhanced Pathology AwarenessDiffusion models → Medical imaging and segmentation
- I Can't Believe It's Corrupt: Evaluating Corruption in Multi-Agent Governance SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Quantitative Introspection in Language Models: Tracking Emotive States Across ConversationMechanistic interpretability → Probing deception, bias and beliefs
- MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language ModelLLM reasoning → Spatial and embodied reasoning +2
All 459
- Reasoning over mathematical objects: on-policy reward modeling and test time aggregationLLM reasoning → Mathematical reasoning +1
- DriftGuard: Mitigating Asynchronous Data Drift in Federated LearningMixture-of-experts → Federated mixture-of-experts
- RadioDiff-FS: Physics-Informed Manifold Alignment in Few-Shot Diffusion Models for High-Fidelity Radio Map ConstructionDiffusion models → Diffusion for compression and wireless
- RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language ModelsLLM reasoning → Reinforcement learning for reasoning +2
- Motion-o: Trajectory-Grounded Video ReasoningLLM reasoning → Multimodal reasoning
- Learn for Variation: Efficient AAV Trajectory Learning through a Differentiable Wireless World ModelWorld models → World models for navigation
- HORNet: Task-Guided Frame Selection for Video Question Answering with Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Perceptio: Perception Enhanced Vision Language Models via Spatial Token GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Functional Subspace Watermarking for Large Language ModelsLLM safety and security → Watermarking generated content and models +1
- Mi:dm K 2.5 ProLLM agents and tool use → General LLM agent frameworks and benchmarks
- ViTac-Tracing: Visual-Tactile Imitation Learning of Deformable Object TracingOffline RL and imitation learning from data → Robot manipulation imitation learning
- A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- ClawTrap: A MITM-Based Red-Teaming Framework for Real-World OpenClaw Security EvaluationLLM agents and tool use → Agent threats, guardrails and governance +1
- DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Are complicated loss functions necessary for teaching LLMs to reason?LLM reasoning → Reinforcement learning for reasoning
- Memento-Skills: Let Agents Design AgentsLLM agents and tool use → Agent memory systems
- 6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User FeedbacksLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI ArchitecturesLLM agents and tool use → Social simulation and multi-agent debate
- Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real TransferDiffusion models → Image generation, text-to-image and editing
- MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-EvolutionLLM reasoning → Reasoning for agents, planning and code +1
- HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- Thinking with Constructions: A Benchmark and Policy Optimization for Visual-Text Interleaved Geometric ReasoningLLM reasoning → Spatial and embodied reasoning
- Balanced Thinking: Improving Chain of Thought Training in Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- MOSAIC: Multi-Objective Slice-Aware Iterative Curation for AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-ClusteringDiffusion models → Video generation
- D-Mem: A Dual-Process Memory System for LLM AgentsLLM agents and tool use → Agent memory systems
- Agentic Flow Steering and Parallel Rollout Search for Spatially Grounded Text-to-Image GenerationLLM agents and tool use → Multimodal and embodied agents
- Learning to Self-EvolveSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- ZEBRAARENA: A Diagnostic Simulation Environment for Studying Reasoning-Action Coupling in Tool-Augmented LLMsLLM reasoning → Reasoning for agents, planning and code +1
- Improving Joint Audio-Video Generation with Cross-Modal Context LearningDiffusion models → Audio, speech and music
- Complementary Text-Guided Attention for Zero-Shot Adversarial RobustnessMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provablyLLM reasoning → Reasoning for agents, planning and code +1
- CausalVAD: De-confounding End-to-End Autonomous Driving via Causal InterventionEnd-to-end autonomous driving → End-to-end system architecture
- HiMu: Hierarchical Multimodal Frame Selection for Long Video Question AnsweringMultimodal LLMs / vision-language models → Video understanding with MLLMs
- CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated LearningLLM safety and security → Federated unlearning and poisoning
- Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking
- Scaling Sim-to-Real VLA Reinforcement Learning with Generative 3D WorldsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Correlation-Weighted Multi-Reward Optimization for Compositional GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +2
- Total Recall QA: A Verifiable Evaluation Suite for Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-ResolutionDiffusion models → Medical imaging and segmentation
- Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISMLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Efficient Video Diffusion with Sparse Information Transmission for Video CompressionDiffusion models → Diffusion for compression and wireless
- Cross-Domain Demo-to-Code via Neurosymbolic Counterfactual ReasoningLLM reasoning → Spatial and embodied reasoning +1
- AIMER: Calibration-Free Task-Agnostic MoE Expert PruningMixture-of-experts → MoE large language models
- EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-WorldMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Do Vision Language Models Understand Human Engagement in Games?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CyberJustice Tutor: An Agentic AI Framework for Cybersecurity Learning via Think-Plan-Act Reasoning and Pedagogical ScaffoldingLLM reasoning → Reasoning for agents, planning and code +1
- MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language ModelingMultimodal LLMs / vision-language models → Medical vision-language models
- AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action ModelsWorld models → Embodied and robot world models +2
- AlignMamba-2: Enhancing Multimodal Fusion and Sentiment Analysis with Modality-Aware MambaState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable RewardsLLM reasoning → Reinforcement learning for reasoning
- AS2 -- Attention-Based Soft Answer Sets: An End-to-End Differentiable Neuro-Soft-Symbolic Reasoning ArchitectureLLM reasoning → Reasoning benchmarks and evaluation
- Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM SystemsLLM safety and security → Prompt injection and agent security
- AndroTMem: From Interaction Trajectories to Anchored Memory in Long-Horizon GUI AgentsLLM agents and tool use → GUI and mobile agents
- Adaptive Decoding via Test-Time Policy Learning for Self-Improving GenerationSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Multimodal Task Interference: A Benchmark and Analysis of History-Target Mismatch in Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?LLM reasoning → Clinical and biomedical applications +1
- TARo: Token-level Adaptive Routing for LLM Test-time AlignmentLLM reasoning → Test-time compute and efficient thinking +1
- TopoChunker: Topology-Aware Agentic Document Chunking FrameworkRetrieval-augmented generation → Multimodal RAG +1
- Efficient and Versatile Quadrupedal Skating: Optimal Co-design via Reinforcement Learning and Bayesian OptimizationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- FlowMS: Flow Matching for De Novo Structure Elucidation from Mass SpectraDiffusion models → Flow matching, time series and science
- RE-SAC: Disentangling aleatoric and epistemic risks in bus fleet control: A stable and robust ensemble DRL approachDeep reinforcement learning methods → RL theory and sample complexity
- From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Mapping Recent Shifts in Digital Art via Conference Discourse: AI, XR, the Metaverse, and Blockchain/NFTs (2021-2025)
- From Seeing it to Experiencing it: Interactive Evaluation of Intersectional Voice Bias in Human-AI Speech Interaction
- Red Skills or Blue Skills? A Dive Into Skills Published on ClawHub
- From Understanding to Creation: A Prerequisite-Free AI Literacy Course with Technical Depth Across Majors
- ML-Based Real-Time Downlink Performance Prediction in Standalone 5G NR Using Smartphones
- Hardware Utilization and Inference Performance of Edge Object Detection Under Fault Injection
- Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange
- HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation
- Assessing Model-Agnostic XAI Methods against EU AI Act Explainability Requirements
- A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model
- Dynamic Mask Enhanced Intelligent Multi-UAV Deployment for Urban Vehicular Networks
- A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors
- Interpretable liquid crystal phase classification via two-by-two ordinal patterns
- Brain-inspired AI for Edge Intelligence: a systematic review
- Stress Classification from ECG Signals Using Vision Transformer
- The Efficiency Attenuation Phenomenon: A Computational Challenge to the Language of Thought Hypothesis
- Ca2+ transient detection and segmentation with the Astronomically motivated algorithm for Background Estimation And Transient Segmentation (Astro-BEATS)
- GIP-RAG: An Evidence-Grounded Retrieval-Augmented Framework for Interpretable Gene Interaction and Pathway Impact Analysis
- Which Workloads Belong in Orbit? A Workload-First Framework for Orbital Data Centers Using Semantic Abstraction
- Bypassing Document Ingestion: An MCP Approach to Financial Q&A
- Rolling-Origin Validation Reverses Model Rankings in Multi-Step PM10 Forecasting: XGBoost, SARIMA, and Persistence
- GraphiContact: Pose-aware Human-Scene Robust Contact Perception for Interactive Systems
- Reason-to-Transmit: Deliberative Adaptive Communication for Cooperative Perception
- EARTalking: End-to-end GPT-style Autoregressive Talking Head Synthesis with Frame-wise Control
- The Global-Local loop: what is missing in bridging the gap between geospatial data from numerous communities?
- Voice Privacy from an Attribute-based Perspective
- Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration
- MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
- LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
- dinov3.seg: Open-Vocabulary Semantic Segmentation with DINOv3
- SurfaceXR: Fusing Smartwatch IMUs and Egocentric Hand Pose for Seamless Surface Interactions
- Depictions of Depression in Generative AI Video Models: A Preliminary Study of OpenAI's Sora 2
- Recognising BSL Fingerspelling in Continuous Signing Sequences
- Inducing Sustained Creativity and Diversity in Large Language Models
- ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models
- FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
- Linear Social Choice with Few Queries: A Moment-Based Approach
- Beyond the Desk: Barriers and Future Opportunities for AI to Assist Scientists in Embodied Physical Tasks
- Vision Tiny Recursion Model (ViTRM): Parameter-Efficient Image Classification via Recursive State Refinement
- Stochastic Sequential Decision Making over Expanding Networks with Graph Filtering
- ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes
- VeloxNet: Efficient Spatial Gating for Lightweight Embedded Image Classification
- Any-Subgroup Equivariant Networks via Symmetry Breaking
- Reinforcement-guided generative protein language models enable de novo design of highly diverse AAV capsids
- Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL
- Global Convergence of Multiplicative Updates for the Matrix Mechanism: A Collaborative Proof with Gemini 3
- Hyperagents
- GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models
- In-the-Wild Camouflage Attack on Vehicle Detectors through Controllable Image Editing
- Beyond Scalar Rewards: Dense Feedback for LLM Policy Synthesis in Sequential Social Dilemmas
- TrustFlow: Topic-Aware Vector Reputation Propagation for Multi-Agent Ecosystems
- LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-ray
- Subspace Projection Methods for Fast Spectral Embeddings of Evolving Graphs
- When both Grounding and not Grounding are Bad -- A Partially Grounded Encoding of Planning into SAT (Extended Version)
- Vocabulary shapes cross-lingual variation of word-order learnability in language models
- Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs
- Investigating In-Context Privacy Learning by Integrating User-Facing Privacy Tools into Conversational Agents
- Scalable Prompt Routing via Fine-Grained Latent Task Discovery
- Bridging Conformal Prediction and Scenario Optimization: Discarded Constraints and Modular Risk Allocation
- TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis
- Factored Levenberg-Marquardt for Diffeomorphic Image Registration: An efficient optimizer for FireANTs
- AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis
- A Novel Solution for Zero-Day Attack Detection in IDS using Self-Attention and Jensen-Shannon Divergence in WGAN-GP
- A Mathematical Theory of Understanding
- Anatomical Heterogeneity in Transformer Language Models
- Beyond Weighted Summation: Learnable Nonlinear Aggregation Functions for Robust Artificial Neurons
- Spectral Tempering for Embedding Compression in Dense Passage Retrieval
- DAPA: Distribution Aware Piecewise Activation Functions for On-Device Transformer Inference and Training
- POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization
- Matryoshka Gaussian Splatting
- MonoArt: Progressive Structural Reasoning for Monocular Articulated 3D Reconstruction
- NavTrust: Benchmarking Trustworthiness for Embodied Navigation
- SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing
- Under One Sun: Multi-Object Generative Perception of Materials and Illumination
- EffectErase: Joint Video Object Removal and Insertion for High-Quality Effect Erasing
- F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
- Online Learning and Equilibrium Computation with Ranking Feedback
- LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs
- DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising
- R-equivalence on Cubic Surfaces I: Existing Cases with Non-Trivial Universal Equivalence
- Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders
- Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
- Extending SSMs with the Exponentially Weighted Signature
- How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation
- Reconstruction Matters: Learning Geometry-Aligned BEV Representation through 3D Gaussian Splatting
- Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
- ARIADNE: A Perception-Reasoning Synergy Framework for Trustworthy Coronary Angiography Analysis
- Rigorous Error Certification for Neural PDE Solvers: From Empirical Residuals to Solution Guarantees
- cuGenOpt: A GPU-Accelerated General-Purpose Metaheuristic Framework for Combinatorial Optimization
- PPI is the Difference Estimator: Recognizing the Survey Sampling Roots of Prediction-Powered Inference
- VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models
- Optimal Splitting of Language Models from Mixtures to Specialized Domains
- Fast and Effective Computation of Generalized Symmetric Matrix Factorization
- Enhancing Pretrained Model-based Continual Representation Learning via Guided Random Projection
- UGID: Unified Graph Isomorphism for Debiasing Large Language Models
- SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data
- Hierarchical Latent Structure Learning through Online Inference
- CustomTex: High-fidelity Indoor Scene Texturing via Multi-Reference Customization
- Numerical Considerations for the Construction of Karhunen-Lo`eve Expansions
- FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning
- Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
- Assessing the Effect of Cross-Domain Mapping on Creativity in Humans and Large Language Models
- A Dataset and Resources for Identifying Patient Health Literacy Information from Clinical Notes
- Multi-Modal Building Change Detection for Large-Scale Small Changes: Benchmark and Baseline
- DROID-SLAM in the Wild
- CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem
- Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus
- Large Language Models provide support for the parallelogram theory of analogy
- Hardness of High-Dimensional Linear Classification
- Adaptive Nonlinear Data Assimilation through P-Spline Triangular Measure Transport
- Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding
- SwiftTailor: Efficient 3D Garment Generation with Geometry Image Representation
- Measuring 3D Spatial Geometric Consistency in Dynamic Video Generation
- Man and machine: artificial intelligence and judicial decision making
- Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation
- When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergence
- FUMO: Prior-Modulated Diffusion for Single Image Reflection Removal
- Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference
- Behavioral Fingerprints for LLM Endpoint Stability and Identity
- GenHOI: Generalized Hand-Object Pose Estimation with Occlusion Awareness
- AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
- Unleashing the Power of Simplicity: A Minimalist Strategy for State-of-the-Art Fingerprint Enhancement
- RADIUS: Ranking, Distribution, and Significance - A Comprehensive Alignment Suite for Survey Simulation
- Regret Bounds for Competitive Resource Allocation with Endogenous Costs
- Evaluating Game Difficulty in Tetris Block Puzzle
- Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis
- Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based models
- Book your room in the Turing Hotel! A symmetric and distributed Turing Test with multiple AIs and humans
- PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors
- Evaluating 5W3H Structured Prompting for Intent Alignment in Human-AI Interaction
- Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives
- Teleological Inference in Structural Causal Models via Intentional Interventions
- BVSIMC: Bayesian Variable Selection-Guided Inductive Matrix Completion for Improved and Interpretable Drug Discovery
- Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring
- A conceptual framework for ideology in online discourse beyond the left and right
- VGGT-360: Geometry-Consistent Zero-Shot Panoramic Depth Estimation
- Unified Taxonomy for Multivariate Time Series Anomaly Detection using Deep Learning
- Kernel Single-Index Bandits: Estimation, Inference, and Learning
- An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction
- Improving moment tensor solutions under Earth structure uncertainty with simulation-based inference
- Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching
- GHOST: Fast Category-agnostic Hand-Object Interaction Reconstruction from RGB Videos using Gaussian Splatting
- Progressive Training for Explainable Citation-Grounded Dialogue: Reducing Hallucination to Zero in English-Hindi LLMs
- Ventriloquist LLMs: Linear Alignment of Late-Stage Representations
- Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method
- From Accuracy to Readiness: Metrics and Benchmarks for Human-AI Decision-Making
- PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment
- Authority-Level Priors: An Under-Specified Constraint in Hierarchical Predictive Processing
- Geography According to ChatGPT -- How Generative AI Represents and Reasons about Geography
- A Human-in/on-the-Loop Framework for Accessible Text Generation
- Evaluating LLM-Generated Lessons from the Language Learning Students' Perspective: A Short Case Study on Duolingo
- Bridging Network Fragmentation: A Semantic-Augmented DRL Framework for UAV-aided VANETs
- Through the Looking-Glass: AI-Mediated Video Communication Reduces Interpersonal Trust and Confidence in Judgments
- Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions
- Data-driven construction of machine-learning-based interatomic potentials for gas-surface scattering dynamics: the case of NO on graphite
- Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders
- BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding
- Towards Interpretable Foundation Models for Retinal Fundus Images
- A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction
- Model Order Reduction of Cerebrovascular Hemodynamics Using POD_Galerkin and Reservoir Computing_based Approach
- Statistical Characteristic-Guided Denoising for Rapid High-Resolution Transmission Electron Microscopy Imaging
- Agent Control Protocol: Admission Control for Agent Actions
- Student views in AI Ethics and Social Impact
- Structure of Basic Human Values in Russian Social Media
- Seasoning Generative Models for a Generalization Aftertaste
- Can LLM generate interesting mathematical research problems?
- dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models
- Signals of Success and Struggle: Early Prediction and Physiological Signatures of Human Performance across Task Complexity
- VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation
- Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
- Proceedings of the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind
- Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
- SRRM: Improving Recursive Transport Surrogates in the Small-Discrepancy Regime
- SEAR: Simple and Efficient Adaptation of Visual Geometric Transformers for Unpaired RGB+Thermal 3D Reconstruction
- Automatic Configuration of LLM Post-Training Pipelines
- Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
- Implicit Grading Bias in Large Language Models: How Writing Style Affects Automated Assessment Across Math, Programming, and Essay Tasks
- ProCal: Probability Calibration for Neighborhood-Guided Source-Free Domain Adaptation
- NeuroGame Transformer: Gibbs-Inspired Attention Driven by Game Theory and Statistical Physics
- Dual-Model Prediction of Affective Engagement and Vocal Attractiveness from Speaker Expressiveness in Video Learning
- WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification
- Automatic detection of Gen-AI texts: A comparative framework of neural models
- Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
- EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation
- Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping
- Accurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
- From ex(p) to poly: Gaussian Splatting with Polynomial Kernels
- A mathematical framework for time-delay reservoir computing analysis
- Off-Policy Learning with Limited Supply
- OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation
- STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation
- Revisiting Label Inference Attacks in Vertical Federated Learning: Why They Are Vulnerable and How to Defend
- Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models
- Cognitive Amplification vs Cognitive Delegation in Human-AI Systems: A Metric Framework
- MANAR: Memory-augmented Attention with Navigational Abstract Conceptual Representation
- Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels
- Multimodal Model for Computational Pathology:Representation Learning and Image Compression
- Enhancing Multi-Corpus Training in SSL-Based Anti-Spoofing Models: Domain-Invariant Feature Extraction
- Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
- Beyond String Matching: Semantic Evaluation of PDF Table Extraction
- Click-to-Ask: An AI Live Streaming Assistant with Offline Copywriting and Online Interactive QA
- Beyond TVLA: Anderson-Darling Leakage Assessment for Neural Network Side-Channel Leakage Detection
- MeInTime: Bridging Age Gap in Identity-Preserving Face Restoration
- Evaluating Model-Free Policy Optimization in Masked-Action Environments via an Exact Blackjack Oracle
- A Comparative Empirical Study of Catastrophic Forgetting Mitigation in Sequential Task Adaptation for Continual Natural Language Processing Systems
- A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Sufficient Convergence Conditions and Mixing Time Analysis under Gaussian Targets
- OrthoPhys: Physically Plausible Video Generation with Orthogonal-View Geometry Guidance
- SwiftGS: Episodic Priors for Immediate Satellite Surface Recovery
- An Onto-Relational-Sophic Framework for Governing Synthetic Minds
- GEAR: Geography-knowledge Enhanced Analog Recognition Framework in Extreme Environments
- GenVideoLens: Where LVLMs Fall Short in AI-Generated Video Detection?
- REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation
- OpenT2M: No-frill Motion Generation with Open-source,Large-scale, High-quality Data
- Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset
- Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control
- DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Units
- Cross-Modal Rationale Transfer for Explainable Humanitarian Classification on Social Media
- AutORAN: LLM-driven Natural Language Programming for Agile xApp Development
- SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation
- myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition
- Elastic Weight Consolidation Done Right for Continual Learning
- Language Model Maps for Prompt-Response Distributions via Log-Likelihood Vectors
- A Novel FACS-Aligned Anatomical Text Description Paradigm for Fine-Grained Facial Behavior Synthesis
- Color image restoration based on nonlocal saturation-value similarity
- HAViT: Historical Attention Vision Transformer
- Breaking Hard Isomorphism Benchmarks with DRESS
- WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network
- ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
- MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning
- Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation
- UEPS: Robust and Efficient MRI Reconstruction
- CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization
- Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks
- Transformers Learn Robust In-Context Regression under Distributional Uncertainty
- Cross-Lingual LLM-Judge Transfer via Evaluation Decomposition
- End-to-End QGAN-Based Image Synthesis via Neural Noise Encoding and Intensity Calibration
- Learning Decision-Sufficient Representations for Linear Optimization
- SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks
- HEP Statistical Inference for UAV Fault Detection: CLs, LRT, and SBI Applied to Blade Damage
- SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement
- Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
- GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems
- iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery
- Data-efficient pre-training by scaling synthetic megadocs
- When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making
- 3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model
- On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization
- OnlinePG: Online Open-Vocabulary Panoptic Mapping with 3D Gaussian Splatting
- Foundations and Architectures of Artificial Intelligence for Motor Insurance
- From Snapshots to Symphonies: The Evolution of Protein Prediction from Static Structures to Generative Dynamics and Multimodal Interactions
- HOMEY: Heuristic Object Masking with Enhanced YOLO for Property Insurance Risk Detection
- NymeriaPlus: Enriching Nymeria Dataset with Additional Annotations and Data
- FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
- TexEditor: Structure-Preserving Text-Driven Texture Editing
- Precise Performance of Linear Denoisers in the Proportional Regime
- The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices
- WASD: Locating Critical Neurons as Sufficient Conditions for Explaining and Controlling LLM Behavior
- GAIN: A Benchmark for Goal-Aligned Decision-Making of Large Language Models under Imperfect Norms
- Recolour What Matters: Region-Aware Colour Editing via Token-Level Diffusion
- Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images
- Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images
- HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
- Learning Consistent Temporal Grounding between Related Tasks in Sports Coaching
- Seeking Universal Shot Language Understanding Solutions
- SODIUM: From Open Web Data to Queryable Databases
- UT-ACA: Uncertainty-Triggered Adaptive Context Allocation for Long-Context Inference
- SR-Nav: Spatial Relationships Matter for Zero-shot Object Goal Navigation
- MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting
- Towards Noise-Resilient Quantum Multi-Armed and Stochastic Linear Bandits
- R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation
- Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression
- SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
- The Impact of Corporate AI Washing on Farmers' Digital Financial Behavior Response -- An Analysis from the Perspective of Digital Financial Exclusion
- From Topic to Transition Structure: Unsupervised Concept Discovery at Corpus Scale via Predictive Associative Memory
- Self-Tuning Sparse Attention: Multi-Fidelity Hyperparameter Optimization for Transformer Acceleration
- The Spillover Effects of Peer AI Rinsing on Corporate Green Innovation
- Statistical Testing Framework for Clustering Pipelines by Selective Inference
- Multi-Domain Empirical Bayes for Linearly-Mixed Causal Representations
- Inst4DGS: Instance-Decomposed 4D Gaussian Splatting with Multi-Video Label Permutation Learning
- Pixel-Accurate Epipolar Guided Matching
- Computational and Statistical Hardness of Calibration Distance
- AutoScreen-FW: An LLM-based Framework for Resume Screening
- An SO(3)-equivariant reciprocal-space neural potential for long-range interactions
- Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization
- Mathematical Foundations of Deep Learning
- Evolutionarily Stable Stackelberg Equilibrium
- To See or To Please: Uncovering Visual Sycophancy and Split Beliefs in VLMs
- PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching