Papers
Fri 17 Apr 2026
393 papers
- FineServe: A Fine-Grained Dataset and Characterization of Global LLM Serving WorkloadsEfficient LLM inference and serving → Serving systems and request scheduling
- From Consumption to Reflection: Designing Human-AI Relations for Stable ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPOLLM reasoning → Clinical and biomedical applications
- EvoSpec: Evolving Speculative Decoding via Real-Time Vocabulary and Parameter AdaptationEfficient LLM inference and serving → Speculative decoding
- Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable AutonomyLLM agents and tool use → Software engineering coding agents
- M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference OptimizationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +1
- Sparse Prefix Caching for Hybrid and Recurrent LLM ServingEfficient LLM inference and serving → KV cache optimization
- SAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement GuaranteesLLM agents and tool use → Reinforcement learning for LLM agents
- MedMamba: Recasting Mamba for Medical Time Series ClassificationState-space sequence models (S4, Mamba) → Physiological signal modeling
- Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC DetectorMixture-of-experts → Efficient MoE training and inference systems
- Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool UseLLM agents and tool use → General LLM agent frameworks and benchmarks
- Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Long-Horizon WorkflowsLLM agents and tool use → Software engineering coding agents
- Know When to Trust the Skill: Delayed Appraisal and Epistemic Vigilance for Single-Agent LLMsLLM reasoning → Reasoning for agents, planning and code +1
- Don't Start What You Can't Finish: A Counterfactual Audit of Support-State Triage in LLM AgentsLLM agents and tool use → Software engineering coding agents
- Why Training-Free Token Reduction Collapses: The Inherent Instability of Pairwise Scoring SignalsEfficient LLM inference and serving → Token pruning and merging for ViTs
- When Agents Go Quiet: Output Generation Capacity and Format-Cost Separation for LLM Document SynthesisLLM agents and tool use → Software engineering coding agents
- Reducing Peak Memory Usage for Modern Multimodal Large Language Model PipelinesMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Active World-Model with 4D-informed Retrieval for Exploration and AwarenessWorld models → World models for language agents
- Multitask LQG Control: Performance and Generalization BoundsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Agentic Large Language Models for Training-Free Neuro-Radiological Image AnalysisLLM agents and tool use → Medical and scientific domain agents
- Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-TrainingLLM agents and tool use → Reinforcement learning for LLM agents
- Auditing Automated Evaluation, Error Propagation, and Runtime Mitigation in Tool-Using Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving +1
- RankGuide: Tensor-Rank-Guided Routing and Steering for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- Agentic Risk-Aware Set-Based Engineering DesignLLM agents and tool use → Multimodal and embodied agents
- DARLING: Detection Augmented Reinforcement Learning with Non-Stationary GuaranteesDeep reinforcement learning methods → RL theory and sample complexity
- Rewind-IL: Online Failure Detection and State Respawning for Imitation LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- KAIROS: Stateful, Context-Aware Power-Efficient Agentic Inference ServingLLM agents and tool use → Software engineering coding agents
- ReconVLA: An Uncertainty-Guided and Failure-Aware Vision-Language-Action Framework for Robotic ControlVision-language-action models → Failure recovery and robustness
- Benign Fine-Tuning Breaks Safety Alignment in Audio LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference TimeDiffusion models → Flow matching, time series and science
- Agentic Frameworks for Reasoning Tasks: An Empirical StudyLLM agents and tool use → General LLM agent frameworks and benchmarks
- AVRT: Audio-Visual Reasoning Transfer through Single-Modality TeachersLLM reasoning → Audio-language model reasoning
- SafeLM: Unified Privacy-Aware Optimization for Trustworthy Federated Large Language ModelsLLM safety and security → Membership inference attacks
- Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Human Cognition in Machines: A Unified Perspective of World ModelsWorld models → World models for language agents
- Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM UnlearningLLM safety and security → Machine unlearning
- Real-Time Visual Attribution Streaming in Thinking ModelLLM reasoning → Multimodal reasoning
- The Global Neural World Model: Spatially Grounded Discrete Topologies for Action-Conditioned PlanningWorld models → Latent predictive world models
- POLAR: Online Learning for LoRA Adapter Caching and Routing in Edge LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Agentic AI for Education: A Unified Multi-Agent Framework for Personalized Learning and Institutional IntelligenceLLM agents and tool use → Educational agents and math problem solving
- Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- S-GRPO: Unified Post-Training for Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- LLM as a Tool, Not an Agent: Code-Mined Tree Transformations for Neural Architecture SearchLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory LifecycleLLM agents and tool use → Agent threats, guardrails and governance
- Conjunctive Prompt Attacks in Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- TWGuard: A Case Study of LLM Safety Guardrails for Localized Linguistic ContextsLLM safety and security → Safety alignment, refusal and guardrails
- Learning to Reason with Insight for Informal Theorem ProvingLLM reasoning → Mathematical reasoning
- From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal TextLLM reasoning → Reasoning for agents, planning and code
- Hero-Mamba: Mamba-based Dual Domain Learning for Underwater Image EnhancementState-space sequence models (S4, Mamba) → Mamba for image restoration
- Information Router for Mitigating Modality Dominance in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Semantic Area Graph Reasoning for Multi-Robot Language-Guided SearchLLM reasoning → Spatial and embodied reasoning
- Beyond Distribution Sharpening: The Importance of Task RewardsLLM reasoning → Reinforcement learning for reasoning +1
- Do Vision-Language Models Truly Perform Vision Reasoning? A Rigorous Study of the Modality GapLLM reasoning → Multimodal reasoning +1
- Where Do Vision-Language Models Fail? World Scale Analysis for Image GeolocalizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Find, Fix, Reason: Context Repair for Video ReasoningMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Detecting and Suppressing Reward Hacking with Gradient FingerprintsLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Optimizing Korean-Centric LLMs via Token PruningEfficient LLM inference and serving → KV cache optimization
- Beyond Surface Statistics: Robust Conformal Prediction for LLMs via Internal RepresentationsLLM reasoning → Test-time compute and efficient thinking
- ChemGraph-XANES: An Agentic Framework for XANES Simulation and CurationLLM agents and tool use → Medical and scientific domain agents
- MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report GenerationLLM agents and tool use → Medical and scientific domain agents
- MOMENTA: Mixture-of-Experts Over Multimodal Embeddings with Neural Temporal Aggregation for Misinformation DetectionMixture-of-experts → Multimodal MoE models
- AtManRL: Towards Faithful Reasoning via Differentiable Attention SaliencyLLM reasoning → Multimodal reasoning
- Motion-Adapter: A Diffusion Model Adapter for Text-to-Motion Generation of Compound ActionsDiffusion models → Video generation
- The Amazing Stability of Flow MatchingDiffusion models → Flow matching, time series and science
- AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-TuningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMsLLM reasoning → Spatial and embodied reasoning +1
- Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- Elucidating the SNR-t Bias of Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and ArchitecturesMechanistic interpretability → Knowledge and representations inside LLMs
- Safe Deep Reinforcement Learning for Building Heating Control and Demand-side FlexibilityDeep reinforcement learning methods → RL for energy, networks and operations
- Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel ReasoningLLM reasoning → Test-time compute and efficient thinking
- AstroVLM: Expert Multi-agent Collaborative Reasoning for Astronomical Imaging Quality DiagnosisLLM reasoning → Knowledge- and tool-augmented reasoning +2
- SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
- AgentV-RL: Scaling Reward Modeling with Agentic VerifierLLM reasoning → Reasoning for agents, planning and code +2
- ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction DiagramsLLM reasoning → Clinical and biomedical applications +1
- Weak-Link Optimization for Multi-Agent Reasoning and CollaborationLLM reasoning → Reasoning for agents, planning and code +1
- When Safe Concepts Become Unsafe: Multi-Concept Compositional Vulnerabilities in Text-to-Image ModelsLLM safety and security → Vision-language and text-to-image safety
- A Case Study on the Impact of Anonymization Along the RAG PipelineRetrieval-augmented generation → Privacy and security of RAG
- Integrating Graphs, Large Language Models, and Agents: Reasoning and RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning +1
- RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head IntegrationRetrieval-augmented generation → Hallucination detection in RAG
- VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- Making Image Editing Easier via Adaptive Task Reformulation with Agentic ExecutionsLLM agents and tool use → Multimodal and embodied agents
- Efficient Video Diffusion Models: Advancements and ChallengesDiffusion models → Video generation
- Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM AgentsLLM agents and tool use → Agent memory systems
- DPrivBench: Benchmarking LLMs' Reasoning for Differential PrivacyLLM reasoning → Reasoning for agents, planning and code
- CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference OptimizationLLM reasoning → Reasoning for agents, planning and code +2
- Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal MechanismsLLM reasoning → Mathematical reasoning
- CoEvolve: Training LLM Agents via Agent-Data Mutual EvolutionLLM agents and tool use → Reinforcement learning for LLM agents
- Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4LLM agents and tool use → Educational agents and math problem solving
- Placing Puzzle Pieces Where They Matter: A Question Augmentation Framework for Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- Breaking the Training Barrier of Billion-Parameter Universal Machine Learning Interatomic PotentialsMixture-of-experts → MoE theory and gating functions
- Aligning What Vision-Language Models See and Perceive with Adaptive Information FlowMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRILLM reasoning → Clinical and biomedical applications +1
- Qwen3.5-Omni Technical ReportMixture-of-experts → Multimodal MoE models
- CHOP: Chunkwise Context-Preserving Framework for RAG on Multi DocumentsRetrieval-augmented generation → Multimodal RAG
- Self-Distillation as a Performance Recovery Mechanism for LLMs: Counteracting Compression and Catastrophic ForgettingKnowledge distillation → Knowledge distillation for LLMs
- Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMsLLM safety and security → Jailbreaking
- MemEvoBench: Benchmarking Safety Risks from Memory Misevolution in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
All 393
- Fuzzy Logic Theory-based Adaptive Reward Shaping for Robust Reinforcement Learning (FARS)Deep reinforcement learning methods → Deep RL algorithms and representations
- Skill-RAG: Failure-State-Aware Retrieval Augmentation via Hidden-State Probing and Skill RoutingRetrieval-augmented generation → RAG robustness and adaptive retrieval
- When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive DepthEfficient LLM inference and serving → Early exit and edge inference
- Zero-Shot Scalable Resilience in UAV Swarms: A Decentralized Imitation Learning Framework with Physics-Informed Graph InteractionsOffline RL and imitation learning from data → Imitation learning methods
- Multi-objective Reinforcement Learning With Augmented States Requires Rewards After DeploymentDeep reinforcement learning methods → RL for games and combinatorial optimization
- TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM InferenceDiffusion models → Discrete and text diffusion +1
- Concept-wise Attention for Fine-grained Concept Bottleneck ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Accuracy Is Speed: Towards Long-Context-Aware Routing for Distributed LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image AnalysisState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Structured Abductive-Deductive-Inductive Reasoning for LLMs via Algebraic InvariantsLLM reasoning → Reasoning benchmarks and evaluation
- LLM Reasoning Is Latent, Not the Chain of ThoughtLLM reasoning → Reasoning benchmarks and evaluation
- Reasoning-targeted Jailbreak Attacks on Large Reasoning Models via Semantic Triggers and Psychological FramingLLM reasoning → Reasoning for agents, planning and code +1
- Into the Gray Zone: Domain Contexts Can Blur LLM Safety BoundariesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Just Type It in Isabelle! AI Agents Drafting, Mechanizing, and Generalizing from Human HintsLLM agents and tool use → Educational agents and math problem solving
- Bilevel Optimization of Agent Skills via Monte Carlo Tree SearchLLM agents and tool use → Agent skill learning and evolution
- Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary TuningLLM reasoning → Multimodal reasoning +1
- P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key InformationLLM reasoning → Prompting and chain-of-thought reasoning +1
- Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and DirectionDiffusion models → Diffusion foundations and sampling
- Preference Estimation via Opponent Modeling in Multi-Agent NegotiationLLM agents and tool use → Social simulation and multi-agent debate
- HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven BackpropagationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric MisalignmentSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Faster LLM Inference via Sequential Monte CarloEfficient LLM inference and serving → Speculative decoding
- Long-Term Memory for VLA-based Agents in Open-World Task ExecutionVision-language-action models → Failure recovery and robustness
- PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning SegmentationLLM reasoning → Spatial and embodied reasoning +1
- CodeMMR: Bridging Natural Language, Code, and Image for Unified RetrievalRetrieval-augmented generation → RAG for code
- HyperGVL: Benchmarking and Improving Large Vision-Language Models in Hypergraph Understanding and ReasoningLLM reasoning → Multimodal reasoning +1
- ZORO: Active Rules for Reliable Vibe CodingLLM agents and tool use → Software engineering coding agents
- Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise RankingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- CLIMB: Controllable Longitudinal Brain Image Generation using Mamba-based Latent Diffusion Model and Gaussian-aligned AutoencoderDiffusion models → Medical imaging and segmentation +1
- GroupDPO: Memory-Efficient Group-Wise Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- BatchDAG: LLM-Planned Execution Graphs for Scalable Ad-Hoc Analysis Over Enterprise Data
- The Virtual Roundtable: Multi-Agent Personas Simulating the Dynamics of Human Brainstorming
- MCBench: A Multicontext Safety Assessment Benchmark for Omni Large Language Models
- PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis
- Generic Triple-Latent Compression with Gated Associative Retrieval
- Learning after COVID-19 and the ICT career aspirations: Are students entering the AI era with weaker skills?
- High-Risk AI Systems and the Problem of Identity in the European AI Act
- Authority Signals in Claude AI Health Citations: A Descriptive Analysis Using the Authority Signals Framework
- Artificial Effort
- Consent Chain Degradation in Embodied Multi-Agent Systems: Bridging the Gap Between AI Agent Governance and Robot Ethics
- Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery
- MidSteer: Optimal Affine Framework for Steering Generative Models
- Horizon-Constrained Rashomon Sets for Chaotic Forecasting
- Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning
- Layout-Aware Representation Learning for Open-Set ID Fraud Discovery
- Planar Gaussian Splatting with Bilinear Spatial Transformer for Wireless Radiance Field Reconstruction
- A Randomized PDE Energy driven Iterative Framework for Efficient and Stable PDE Solutions
- A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms
- Spectral Kernel Dynamics for Planetary Surface Graphs: Distinction Dynamics and Topological Conservation
- KinetiDiff: Docking-Guided Diffusion for De Novo ACVR1 Inhibitor Design in Fibrodysplasia Ossificans Progressiva
- What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity
- Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization
- ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection
- TriTS: Time Series Forecasting from a Multimodal Perspective
- Incoherent Deformation, Not Capacity: Diagnosing and Mitigating Overfitting in Dynamic Gaussian Splatting
- Evaluating Adaptive Personalization of Educational Readings with Simulated Learners
- Automated Palynological Analysis System: Integrating Deep Metric Learning, Detection and Classification in Bright Field Microscopy
- CT Open: An Open-Access, Uncontaminated, Live Platform for the Open Challenge of Clinical Trial Outcome Prediction
- iDocV2: Leveraging Self-Supervision and Open-Set Detection for Improving Pattern Spotting in Historical Documents
- Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries
- Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations
- Chronax: A Jax Library for Forecasting and Conformal Inference
- Detecting Alarming Student Verbal Responses using Text and Audio Classifier
- Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs
- How to Approximate Inference with Subtractive Mixture Models
- The impact of postediting on AI generative translation in Yemeni context: Translating literary prose by ChatGPT
- Surgical Repair of Insecure Code Generation in LLMs
- LOD-Net: Locality-Aware 3D Object Detection Using Multi-Scale Transformer Network
- The Query Channel: Information-Theoretic Limits of Masking-Based Explanations
- No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation
- Graph Transformer-Based Pathway Embedding for Cancer Prognosis
- C-GenReg: Training-Free 3D Point Cloud Registration by Multi-View-Consistent Geometry-to-Image Generation with Probabilistic Modalities Fusion
- UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
- Appearance-free Action Recognition: Zero-shot Generalization in Humans and a Two-Pathway Model
- From Subsumption to Satisfiability: LLM-Assisted Active Learning for OWL Ontologies
- CBRS: Cognitive Blood Request System with Bilingual Dataset and Dual-Layer Filtering for Multi-Platform Social Streams
- A Benchmark Study of Segmentation Models and Adaptation Strategies for Landslide Detection from Satellite Imagery
- Cross-Modal Bayesian Low-Rank Adaptation for Uncertainty-Aware Multimodal Learning
- Defragmenting Language Models: An Interpretability-based Approach for Vocabulary Expansion
- A Two-Stage Multi-Modal MRI Framework for Lifespan Brain Age Prediction
- IYKYK (But AI Doesn't): Automated Content Moderation Does Not Capture Communities' Heterogeneous Attitudes Towards Reclaimed Language
- Migrant Voices, Local News: Insights on Bridging Community Needs with Media Content
- FLARE: A Data-Efficient Surrogate for Predicting Displacement Fields in Directed Energy Deposition
- Tri-Modal Fusion Transformers for UAV-based Object Detection
- Amortized Inverse Kinematics via Graph Attention for Real-Time Human Avatar Animation
- AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation
- Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning
- Lower Bounds and Proximally Anchored SGD for Non-Convex Minimization Under Unbounded Variance
- Beyond Feature Fusion: Contextual Bayesian PEFT for Multimodal Uncertainty Estimation
- FedLLM: A Privacy-Preserving Federated Large Language Model for Explainable Traffic Flow Prediction
- Fairness Constraints in High-Dimensional Generalized Linear Models
- IncepDeHazeGAN: Novel Satellite Image Dehazing
- Spotlights and Blindspots: Evaluating Machine-Generated Text Detection
- Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction
- Hybrid Spectro-Temporal Fusion Framework for Structural Health Monitoring
- MambaKick: Early Penalty Direction Prediction from HAR Embeddings
- A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era
- Certified Program Synthesis with a Multi-Modal Verifier
- Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection
- NCO4CVRP: Neural Combinatorial Optimization for the Capacitated Vehicle Routing Problem
- Continuous ageing trajectory representations for knee-aware lifetime prediction of lithium-ion batteries across heterogeneous dataset
- EviDep: Uncertainty-Aware Multimodal Depression Estimation via Disentangled Evidential Learning
- Multilevel neural networks with dual-stage feature fusion for human activity recognition
- On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability
- Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic
- FedOBP: Federated Optimal Brain Personalization through Cloud-Edge Element-wise Decoupling
- From User Recognition to Activity Counting: An Identity-Agnostic Approach to Multi-User WiFi Sensing
- In Search of Lost DNA Sequence Pretraining
- Classification of systolic murmurs in heart sounds using multiresolution complex Gabor dictionary and vision transformer
- See Through the Noise: Improving Domain Generalization in Gaze Estimation
- SpecPylot: Python Specification Generation using Large Language Models
- Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing
- PA-TCNet: Pathology-Aware Temporal Calibration with Physiology-Guided Target Refinement for Cross-Subject Motor Imagery EEG Decoding in Stroke Patients
- Co-generation of Layout and Shape from Text via Autoregressive 3D Diffusion
- An Interpretable Framework Applying Protein Words to Predict Protein-Small Molecule Complementary Pairing Rules
- A B-Spline Function Based 3D Point Cloud Unwrapping Scheme for 3D Fingerprint Recognition and Identification
- BOOKAGENT: Orchestrating Safety-Aware Visual Narratives via Multi-Agent Cognitive Calibration
- PoInit-of-View: Poisoning Initialization of Views Transfers Across Multiple 3D Reconstruction Systems
- Repurposing 3D Generative Model for Autoregressive Layout Generation
- FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation
- Phase transitions in Doi-Onsager, Noisy Transformer, and other multimodal models
- Auditing Sabotage Bench: A Benchmark for Detecting and Fixing Research Sabotage in ML Codebases
- Enhancing Hazy Wildlife Imagery: AnimalHaze3k and IncepDehazeGan
- Geometric regularization of autoencoders via observed stochastic dynamics
- Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing
- Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design
- No Universal Courtesy: A Cross-Linguistic, Multi-Model Study of Politeness Effects on LLMs Using the PLUM Corpus
- VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects
- FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale
- SwanNLP at SemEval-2026 Task 5: An LLM-based Framework for Plausibility Scoring in Narrative Word Sense Disambiguation
- Characterising LLM-Generated Competency Questions: a Cross-Domain Empirical Study using Open and Closed Models
- Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization
- BAGEL: Benchmarking Animal Knowledge Expertise in Language Models
- CollideNet: Hierarchical Multi-scale Video Representation Learning with Disentanglement for Time-To-Collision Forecasting
- Adaptive multi-fidelity optimization with fast learning rates
- Advancing Subseasonal Forecasting with Machine Learning
- A Two-Stage, Object-Centric Deep Learning Framework for Robust Exam Cheating Detection
- Neuro-Symbolic ODE Discovery with Latent Grammar Flow
- Dental Panoramic Radiograph Analysis Using YOLO26 From Tooth Detection to Disease Diagnosis
- "Taking Stock at FAccT": Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community
- OT on the Map: Quantifying Domain Shifts in Geographic Space
- GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos
- AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection
- A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
- DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs
- Saturation-Aware Space-Variant Blind Image Deblurring
- Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation
- Synthetic data in cryptocurrencies using generative models
- Winner of CVPR2026 NTIRE Challenge on Image Shadow Removal: Semantic and Geometric Guidance for Shadow Removal via Cascaded Refinement
- JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models
- neuralCAD-Edit: An Expert Benchmark for Multimodal-Instructed 3D CAD Model Editing
- SWNet: A Cross-Spectral Network for Camouflaged Weed Detection
- On the Rejection Criterion for Proxy-based Test-time Alignment
- Training Time Prediction for Mixed Precision-based Distributed Training
- Sentiment Analysis of German Sign Language Fairy Tales
- Can LLMs Understand the Impact of Trauma? Costs and Benefits of LLMs Coding the Interviews of Firearm Violence Survivors
- Tabular foundation models for in-context prediction of molecular properties
- Univariate Channel Fusion for Multivariate Time Series Classification
- SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context
- The Relic Condition: When Published Scholarship Becomes Material for Its Own Replacement
- From Articles to Canopies: Knowledge-Driven Pseudo-Labelling for Tree Species Classification using LLM Experts
- Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset
- Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
- Polyglot: Multilingual Style Preserving Speech-Driven Facial Animation
- Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability
- Dual-Modal Lung Cancer AI: Interpretable Radiology and Microscopy with Clinical Risk Integration
- DenTab: A Dataset for Table Recognition and Visual QA on Real-World Dental Estimates
- Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure
- The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback
- Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance
- Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
- DINOv3 Beats Specialized Detectors: A Simple Foundation Model Baseline for Image Forensics
- Early Detection of Acute Myeloid Leukemia (AML) Using YOLOv12 Deep Learning Model
- Prototype-Grounded Concept Models for Verifiable Concept Alignment
- Towards Universal Convergence of Backward Error in Linear System Solvers
- TableSeq: Unified Generation of Structure, Content, and Layout
- Constant-Factor Approximations for Doubly Constrained Fair k-Center, k-Median and k-Means
- LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning
- AST: Adaptive, Seamless, and Training-Free Precise Speech Editing
- A Wasserstein Geometric Framework for Hebbian Plasticity
- Driving Assistance System for Ambulances to Minimise the Vibrations in Patient Cabin
- Stochasticity in Tokenisation Improves Robustness
- Ranking XAI Methods for Head and Neck Cancer Outcome Prediction
- Where does output diversity collapse in post-training?
- Neurosymbolic Repo-level Code Localization
- Discovering quantum phenomena with Interpretable Machine Learning
- Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs
- IA-CLAHE: Image-Adaptive Clip Limit Estimation for CLAHE
- MEDLEY-BENCH: Benchmarking Behavioural Metacognition and Belief Revision Under Social Pressure in Large Language Models
- Corner Reflector Array Jamming Discrimination Using Multi-Dimensional Micro-Motion Features with Frequency Agile Radar
- SCHK-HTC: Sibling Contrastive Learning with Hierarchical Knowledge-Aware Prompt Tuning for Hierarchical Text Classification
- From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives
- MMGait: Towards Multi-Modal Gait Recognition
- Impact of Nonlinear Power Amplifier on Massive MIMO: Machine Learning Prediction Under Realistic Radio Channel
- Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset
- Evaluating quality in synthetic data generation for large tabular health datasets
- Multi-Objective Bayesian Optimization via Adaptive varepsilon-Constraints Decomposition
- TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation
- From Competition to Coopetition: Coopetitive Training-Free Image Editing Based on Text Guidance
- SENSE: Stereo OpEN Vocabulary SEmantic Segmentation
- Neural Gabor Splatting: Enhanced Gaussian Splatting with Neural Gabor for High-frequency Surface Reconstruction
- (Weighted) Adaptive Radius Near Neighbor Search: Evaluation for WiFi Fingerprint-based Positioning
- Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation
- MUSCAT: MUltilingual, SCientific ConversATion Benchmark
- Hierarchical Codec Diffusion for Video-to-Speech Generation
- AeroDeshadow: Physics-Guided Shadow Synthesis and Penumbra-Aware Deshadowing for Aerospace Imagery
- Towards Rigorous Explainability by Feature Attribution
- PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking
- JFinTEB: Japanese Financial Text Embedding Benchmark
- CLOTH-HUGS: Cloth Aware Human Gaussian Splatting
- How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models
- UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs
- DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition
- Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography
- QuantSightBench: Evaluating LLM Quantitative Forecasting with Prediction Intervals
- AHS: Adaptive Head Synthesis via Synthetic Data Augmentations
- Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection
- Learning to Look before Learning to Like: Incorporating Human Visual Cognition into Aesthetic Quality Assessment
- Exploring the Capability Boundaries of LLMs in Mastering of Chinese Chouxiang Language
- Reversible Residual Normalization Alleviates Spatio-Temporal Distribution Shift
- Stein Variational Black-Box Combinatorial Optimization
- Modern Structure-Aware Simplicial Spatiotemporal Neural Network
- Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration
- SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification
- UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval
- Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions
- ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset
- Continual Hand-Eye Calibration for Open-world Robotic Manipulation
- From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation
- From Intention to Text: AI-Supported Goal Setting in Academic Writing
- Fed3D: Federated 3D Object Detection
- Convolutionally Low-Rank Models with Modified Quantile Regression for Interval Time Series Forecasting
- A Systematic Study of Training-Free Methods for Trustworthy Large Language Models
- EVIL: Evolving Interpretable Algorithms for Zero-Shot Inference on Event Sequences and Time Series with LLMs
- Similarity-Based Bike Station Expansion via Hybrid Denoising Autoencoders
- Fusing Cellular Network Data and Tollbooth Counts for Urban Traffic Flow Estimation
- SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images
- PIIBench: A Unified Multi-Source Benchmark Corpus for Personally Identifiable Information Detection
- Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
- Phase Transitions as the Breakdown of Statistical Indistinguishability
- PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding
- Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension
- A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States
- KWBench: Measuring Unprompted Problem Recognition in Knowledge Work
- Language, Place, and Social Media: Geographic Dialect Alignment in New Zealand
- Collective Kernel EFT for Pre-activation ResNets
- Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
- Why Colors Make Clustering Harder:Global Integrality Gaps, the Price of Fairness, and Color-Coupled Algorithms in Chromatic Correlation Clustering
- RefereeBench: Are Video MLLMs Ready to be Multi-Sport Referees
- Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval
- Privacy-Preserving LLMs Routing
- Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images
- Harnessing Pre-Resolution Signals for Future Prediction Agents
- NeuroLip: An Event-driven Spatiotemporal Learning Framework for Cross-Scene Lip-Motion-based Visual Speaker Recognition
- GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows
- Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks
- SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
- APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
- LP2DH: A Locality-Preserving Pixel-Difference Hashing Framework for Dynamic Texture Recognition
- Target-Oriented Pretraining Data Selection via Neuron-Activated Graph
- The Metacognitive Monitoring Battery: A Cross-Domain Benchmark for LLM Self-Monitoring
- Frequency-Corrupt Based Graph Self-Supervised Learning
- The Price of Paranoia: Robust Risk-Sensitive Cooperation in Non-Stationary Multi-Agent Reinforcement Learning
- Self-Supervised Angular Deblurring in Photoacoustic Reconstruction via Noisier2Inverse
- Hierarchical Active Inference using Successor Representations
- NK-GAD: Neighbor Knowledge-Enhanced Unsupervised Graph Anomaly Detection
- CPU Optimization of a Monocular 3D Biomechanics Pipeline for Low-Resource Deployment
- Stargazer: A Scalable Model-Fitting Benchmark Environment for AI Agents under Astrophysical Constraints
- From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark
- Perturbation-Regularized Open-Vocabulary Remote Sensing Segmentation with Unified Multi-Domain Evaluation
- SPLIT: Self-supervised Partitioning for Learned Inversion in Nonlinear Tomography
- CIG: Measuring Conversational Information Gain in Deliberative Dialogues with Semantic Memory Dynamics
- FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use
- Hybrid Quantum-Classical PINNs for Scientific Computing: A Multi-GPU Open-Source Framework
- HYPERHEURIST: A Simulated Annealing-Based Control Framework for LLM-Driven Code Generation in Optimized Hardware Design
- Algebraic Invariants of Lightning Self-Attention
- Causal Bootstrapped Alignment for Unsupervised Video-Based Visible-Infrared Person Re-Identification
- SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding
- AdaDINO: Context-Adaptive DINO-Distilled Vision Foundation Models for Efficient Open-Vocabulary Edge Inference
- Majority Voting for Code Generation
- A Structure-Preserving Graph Neural Solver for Parametric Hyperbolic Conservation Laws
- Flexible Empowerment at Reasoning with Extended Best-of-N Sampling
- Green-ELM: Efficient Analytic Learning via High-Dimensional Random Projections
- GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow
- Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models
- Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
- LLMs Corrupt Your Documents When You Delegate
- DataCenterGym: A Physics-Grounded Simulator for Multi-Objective Data Center Scheduling
- DALM: A Domain-Algebraic Language Model via Three-Phase Structured Generation
- BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels