Papers
Tue 23 Sep 2025
440 papers
- Structured Cognitive Loop for Behavioral Intelligence in Large Language Model Agents (Extended Revision: From Behavioral Architecture to Epistemic Accountability)LLM agents and tool use → General LLM agent frameworks and benchmarks
- GRPO++: Enhancing Dermatological Reasoning under Low Resource SettingsLLM reasoning → Clinical and biomedical applications +1
- Automated Extraction of Material Properties using LLM-based AI AgentsLLM agents and tool use → Medical and scientific domain agents
- Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based SupervisionSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Cyclic Ablation: Testing Concept Localization against Functional Regeneration in AIMechanistic interpretability → Probing deception, bias and beliefs
- GZSL-MoE: Apprentissage G'en'eralis'e Z'ero-Shot bas'e sur le M'elange d'Experts pour la Segmentation S'emantique de Nuages de Points 3DAppliqu'e `a un Jeu de Donn'ees d'Environnement de Collaboration Humain-RobotMixture-of-experts → Vision mixture-of-experts
- Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and DevicesDeep reinforcement learning methods → RL for energy, networks and operations
- SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse AutoencodersDiffusion models → Robustness, privacy and adversarial aspects +2
- Are We Scaling the Right Thing? A System Perspective on Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- AutoSpec: An Agentic Framework for Automatically Drafting Patent SpecificationLLM agents and tool use → Web, search, and research agents
- TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series GenerationDiffusion models → Flow matching, time series and science
- Mamba Modulation: On the Length Generalization of MambaState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Advancing Speech Summarization in Multi-modal LLMs with Reinforcement LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Multimodal Language Models with Modality-Specific Experts for Financial Forecasting from Interleaved Sequences of Text and Time SeriesMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human DataOffline RL and imitation learning from data → Robot manipulation imitation learning
- SteinerSQL: Graph-Guided Mathematical Reasoning for Text-to-SQL GenerationLLM reasoning → Knowledge- and tool-augmented reasoning
- Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language ModelsMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Chasing Stability: Humanoid Running via Control Lyapunov Function Guided Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot ActionLLM agents and tool use → Multimodal and embodied agents
- Retrieval Augmented Generation based context discovery for ASRRetrieval-augmented generation → Conversational and speech RAG
- Nano Bio-Agents (NBA): Small Language Model Agents for GenomicsLLM agents and tool use → Medical and scientific domain agents
- CURE: Centroid-guided Unsupervised Representation Erasure for Facial Recognition SystemsLLM safety and security → Machine unlearning
- AnySafe: Adapting Latent Safety Filters at Runtime via Safety Constraint Parameterization in the Latent SpaceWorld models → Latent dynamics models and model-based RL
- iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video ReasoningLLM reasoning → Chain-of-thought reasoning for driving
- DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred TransitionsWorld models → Latent dynamics models and model-based RL +1
- Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input MutationLLM reasoning → Reasoning for agents, planning and code
- Metriplectic Conditional Flow Matching for Dissipative DynamicsDiffusion models → Flow matching, time series and science
- Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft RobotDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- STARQA: A Question Answering Dataset for Complex Analytical Reasoning over Structured DatabasesLLM reasoning → Knowledge- and tool-augmented reasoning
- Frame-based Equivariant Diffusion Models for 3D Molecular GenerationDiffusion models → Flow matching, time series and science
- Estimating the Self-Consistency of LLMsLLM reasoning → Test-time compute and efficient thinking
- OmniVLA: An Omni-Modal Vision-Language-Action Model for Robot NavigationVision-language-action models → Generalist VLA models and benchmarks
- Evaluation-Aware Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Self-evolved Imitation Learning in Simulated WorldOffline RL and imitation learning from data → Imitation learning methods
- ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data AugmentationOffline RL and imitation learning from data → Robot manipulation imitation learning
- CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow MatchingDiffusion models → Flow matching, time series and science
- Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-DistillationDiffusion models → 3D, point cloud and scene generation
- What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoTLLM reasoning → Prompting and chain-of-thought reasoning
- A Gradient Flow Approach to Solving Inverse Problems with Latent Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Policy Gradient Bounds in Multitask LQRDeep reinforcement learning methods → RL for games and combinatorial optimization
- Cross-Cultural Transfer of Commonsense Reasoning in LLMs: Evidence from the Arab WorldLLM reasoning → Reasoning benchmarks and evaluation
- Reinforcement Learning on Pre-Training DataDeep reinforcement learning methods → RL training of language and agent models
- Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and GenerationDiffusion models → Image generation, text-to-image and editing
- AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- CompLLM: Compression for Long Context Q&AEfficient LLM inference and serving → Prompt and context compression
- PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model DistillationKnowledge distillation → Distillation for medical imaging
- Steering Multimodal Large Language Models Decoding for Context-Aware SafetyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- A Knowledge Graph and a Tripartite Evaluation Framework Make Retrieval-Augmented Generation Scalable and TransparentRetrieval-augmented generation → RAG pipeline design and evaluation
- Long Story Short: Disentangling Compositionality and Long-Caption Understanding in Contrastive VLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Vision-Free Retrieval: Rethinking Multimodal Search with Textual Scene DescriptionsLLM reasoning → Multimodal reasoning +1
- Agentic Reinforcement Learning with Implicit Step RewardsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Reading Images Like Texts: Sequential Image Understanding in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic ApplicationsLLM agents and tool use → Software engineering coding agents
- Soft Tokens, Hard TruthsLLM reasoning → Prompting and chain-of-thought reasoning
- Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation FunctionsDeep reinforcement learning methods → Deep RL algorithms and representations
- NeuCODEX: Edge-Cloud Co-Inference with Spike-Driven Compression and Dynamic Early-ExitEfficient LLM inference and serving → Early exit and edge inference
- Anecdoctoring: Automated Red-Teaming Across Language and PlaceLLM safety and security → Prompt injection and agent security
- On the Soundness and Consistency of LLM Agents for Executing Test Cases Written in Natural LanguageLLM agents and tool use → Software engineering coding agents
- PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence GenerationLLM reasoning → Reinforcement learning for reasoning +1
- A Fast Initialization Method for Neural Network Controllers: A Case Study of Image-based Visual Servoing Control for the multicopter InterceptionDeep reinforcement learning methods → RL theory and sample complexity
- Online Distributionally Robust LLM Alignment via Regression to Relative RewardLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Investigating Traffic Accident Detection Using Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question AnsweringLLM reasoning → Reinforcement learning for reasoning
- Training Flow Matching Models with Reliable Labels via Self-PurificationDiffusion models → Audio, speech and music
- World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic ManipulationWorld models → Embodied and robot world models +3
- ColorBlindnessEval: Can Vision-Language Models Pass Color Blindness Tests?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ManipForce: Force-Guided Policy Learning with Frequency-Aware Representation for Contact-Rich ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Latent Danger Zone: Distilling Unified Attention for Cross-Architecture Black-box AttacksDiffusion models → Robustness, privacy and adversarial aspects
- Reduced-Order Model-Guided Reinforcement Learning for Demonstration-Free Humanoid LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Investigating Test-Time Scaling with Reranking for Machine TranslationLLM reasoning → Test-time compute and efficient thinking
- OmniBridge: Unified Multimodal Understanding, Generation, and Retrieval via Latent Space AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Fully Learnable Neural Reward MachinesDeep reinforcement learning methods → Interpretable and logic-guided RL
- Pure Vision Language Action (VLA) Models: A Comprehensive SurveyMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained RewardsLLM reasoning → Multimodal reasoning +2
- VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary ReconstructionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and DirectionsLLM agents and tool use → Medical and scientific domain agents
- Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical VariationsVision-language-action models → Safety and adversarial attacks
- One-shot Embroidery Customization via Contrastive LoRA ModulationDiffusion models → 3D, point cloud and scene generation
- Direct Preference Optimization for Speech Autoregressive Diffusion ModelsDiffusion models → Audio, speech and music
- LiDAR Point Cloud Image-based Generation Using Denoising Diffusion Probabilistic ModelsDiffusion models → 3D, point cloud and scene generation
- How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven PerspectiveLLM reasoning → Spatial and embodied reasoning
- Introducing LongCat-Flash-Thinking: A Technical ReportLLM reasoning → Reinforcement learning for reasoning +2
- On The Reproducibility Limitations of RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- Bi-VLA: Bilateral Control-Based Imitation Learning via Vision-Language Fusion for Action GenerationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Conf-Profile: A Confidence-Driven Reasoning Paradigm for Label-Free User ProfilingLLM reasoning → Reinforcement learning for reasoning
- NGRPO: Negative-enhanced Group Relative Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- MAPO: Mixed Advantage Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool InteractionsLLM agents and tool use → Tool learning and function calling
- Benchmarking Vision-Language and Multimodal Large Language Models in Zero-shot and Few-shot Scenarios: A study on Christian IconographyMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA AdaptersDiffusion models → Image generation, text-to-image and editing
- On the Convergence of Policy Mirror Descent with Temporal Difference EvaluationDeep reinforcement learning methods → RL theory and sample complexity
- MAPEX: A Multi-Agent Pipeline for Keyphrase ExtractionLLM agents and tool use → Web, search, and research agents
- Towards Application Aligned Synthetic Surgical Image SynthesisDiffusion models → Medical imaging and segmentation
- The AGNTCY Agent Directory Service: Architecture and ImplementationLLM agents and tool use → Agent threats, guardrails and governance
- VGGT-DP: Generalizable Robot Control via Vision Foundation ModelsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Bi-VLM: Pushing Ultra-Low Precision Post-Training Quantization Boundaries in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- FixingGS: Enhancing 3D Gaussian Splatting via Training-Free Score DistillationDiffusion models → 3D, point cloud and scene generation
- MV-UMI: A Scalable Multi-View Interface for Cross-Embodiment LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
All 440
- Knowledge Transfer from Interaction LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LLM-Enhanced Self-Evolving Reinforcement Learning for Multi-Step E-Commerce Payment Fraud Risk DetectionSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and AlignmentLLM safety and security → Backdoor and data poisoning attacks
- MemOrb: A Plug-and-Play Verbal-Reinforcement Memory Layer for E-Commerce Customer ServiceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Autonomous Data Agents: A New Opportunity for Smart DataLLM agents and tool use → Web, search, and research agents
- MVT: Mask-Grounded Vision-Language Models for Taxonomy-Aligned Land-Cover TaggingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- An overview of neural architectures for self-supervised audio representation learning from masked spectrogramsState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Query-Centric Diffusion Policy for Generalizable Robotic AssemblyDiffusion models → Diffusion and flow policies for robotics
- LEAF-Mamba: Local Emphatic and Adaptive Fusion State Space Model for RGB-D Salient Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- 3D Flow Diffusion Policy: Visuomotor Policy Learning via Generating Flow in 3D SpaceDiffusion models → Diffusion and flow policies for robotics
- TERAG: Token-Efficient Graph-Based Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Agentic AutoSurvey: Let LLMs Survey LLMsLLM agents and tool use → Web, search, and research agents
- SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real TransferDeep reinforcement learning methods → Safe and constrained RL
- Understanding-in-Generation: Reinforcing Generative Capability of Unified Model via Infusing Understanding into GenerationLLM reasoning → Multimodal reasoning
- A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps UsersLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Prompt-Guided Dual Latent Steering for Inversion ProblemsDiffusion models → Inverse problems and image restoration
- Flow marching for a generative PDE foundation modelDiffusion models → Flow matching, time series and science
- SINGER: An Onboard Generalist Vision-Language Navigation Policy for DronesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture +1
- SynSonic: Augmenting Sound Event Detection through Text-to-Audio Diffusion ControlNet and Effective Sample FilteringDiffusion models → Audio, speech and music
- Training-Free Multi-Style Fusion Through Reference-Based Adaptive ModulationDiffusion models → Image generation, text-to-image and editing
- Growing with Your Embodied Agent: A Human-in-the-Loop Lifelong Code Generation Framework for Long-Horizon Manipulation SkillsLLM agents and tool use → Multimodal and embodied agents
- DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series GenerationDiffusion models → Flow matching, time series and science
- The Photographer Eye: Teaching Multimodal Large Language Models to Understand Image Aesthetics like PhotographersMultimodal LLMs / vision-language models → Image editing and quality assessment
- Teaching Audio Models to Reason: A Unified Framework for Source- and Layer-wise DistillationLLM reasoning → Audio-language model reasoning +1
- Live-E2T: Real-time Threat Monitoring in Video via Deduplicated Event Reasoning and Chain-of-ThoughtLLM reasoning → Multimodal reasoning
- LLMZ+: Contextual Prompt Whitelist Principles for Agentic LLMsLLM agents and tool use → Agent threats, guardrails and governance +1
- Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-ExpertsMixture-of-experts → MoE theory and gating functions
- CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMsLLM reasoning → Reasoning benchmarks and evaluation
- No Verifiable Reward for Prosody: Toward Preference-Guided Prosody Learning in TTSLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail GenerationDeep reinforcement learning methods → RL training of language and agent models
- Spatial Envelope MPC: High Performance Driving without a ReferenceEnd-to-end autonomous driving → Reinforcement learning for driving
- SimpleFold: Folding Proteins is Simpler than You ThinkDiffusion models → Flow matching, time series and science
- A Modality-Aware Cooperative Co-Evolutionary Framework for Multimodal Graph Neural Architecture Search
- Rule Encoding and Compliance in Large Language Models: An Information-Theoretic Analysis
- Silent Tokens, Loud Effects: Padding in LLMs
- Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation
- LLMRank: Understanding LLM Strengths for Model Routing
- Computational Social Linguistics for Telugu Cultural Preservation: Novel Algorithms for Chandassu Metrical Pattern Recognition
- Benchmark Profiling: Mechanistic Diagnosis of LLM Benchmarks
- Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
- Geometric Structures and Patterns of Meaning: A PHATE Manifold Analysis of Chinese Character Embeddings
- Who is In Charge? Dissecting Role Conflicts in Instruction Following
- EEFSUVA: A New Mathematical Olympiad Benchmark
- Challenges and Solutions in Selecting Optimal Lossless Data Compression Algorithms
- Localizing Adversarial Attacks To Produces More Imperceptible Noise
- TUN3D: Towards Real-World Scene Understanding from Unposed Images
- Do Sparse Subnetworks Exhibit Cognitively Aligned Attention? Effects of Pruning on Saliency Map Fidelity, Sparsity, and Concept Coherence
- ShipwreckFinder: A QGIS Tool for Shipwreck Detection in Multibeam Sonar Data
- Debugging Concept Bottleneck Models through Removal and Retraining
- Assessing the Alignment of Popular CNNs to the Brain for Valence Appraisal
- The LongiMam model for improved breast cancer risk prediction using longitudinal mammograms
- Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
- Coreset selection based on Intra-class diversity
- Dynamic Multi-Target Fusion for Efficient Audio-Visual Navigation
- In silico Deep Learning Protocols for Label-Free Super-Resolution Microscopy: A Comparative Study of Network Architectures and SNR Dependence
- Automated Prompt Generation for Creative and Counterfactual Text-to-image Synthesis
- Sample completion, structured correlation, and Netflix problems
- SGAligner++: Cross-Modal Language-Aided 3D Scene Graph Alignment
- Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry
- Variational Low-Rank Adaptation for Personalized Impaired Speech Recognition
- Data-Efficient ASR Personalization for Non-Normative Speech Using an Uncertainty-Based Phoneme Difficulty Score for Guided Sampling
- Centralized vs. Decentralized Security for Space AI Systems? A New Look
- Blueprints of Trust: AI System Cards for End to End Transparency and Governance
- The Secret Agenda: LLMs Strategically Lie and Our Current Safety Tools Are Blind
- A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks
- Dynamicasome: a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations
- Where 6G Stands Today: Evolution, Enablers, and Research Gaps
- The Impact of 2D Segmentation Backbones on Point Cloud Predictions Using 4D Radar
- Human-AI Narrative Synthesis to Foster Shared Understanding in Civic Decision-Making
- Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing
- Raw-JPEG Adapter: Efficient Raw Image Compression with JPEG
- Evaluating Language Translation Models by Playing Telephone
- Graph-based Neural Space Weather Forecasting
- Improved Therapeutic Antibody Reformatting through Multimodal Machine Learning
- Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation
- Learning Genetic Circuit Modules with Neural Networks: Full Version
- Knowledge Base-Aware Orchestration: A Dynamic, Privacy-Preserving Method for Multi-Agent Systems
- GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models
- Frame-Stacked Local Transformers For Efficient Multi-Codebook Speech Generation
- Position: AI Evaluations Should be Grounded on a Theory of Capability
- Synthesizing Artifact Dataset for Pixel-level Detection
- Discovery of Sustainable Refrigerants through Physics-Informed RL Fine-Tuning of Sequence Models
- Reverse Engineering User Stories from Code using Large Language Models
- A Foundation Chemical Language Model for Comprehensive Fragment-Based Drug Discovery
- LLMs4All: A Review of Large Language Models Across Academic Disciplines
- MAGIC: Multi-task Gaussian process for joint imputation and classification in healthcare time series
- ExPe: Exact Positional Encodings for Generative Transformer Models with Extrapolating Capabilities
- Uncertainty in Semantic Language Modeling with PIXELS
- Stochastic Path Planning in Correlated Obstacle Fields
- Confidence Calibration in Large Language Model-Based Entity Matching
- Learning Dynamics of Deep Learning -- Force Analysis of Deep Neural Networks
- Do LLMs Encode Frame Semantics? Evidence from Frame Identification
- Score the Steps, Not Just the Goal: VLM-Based Subgoal Evaluation for Robotic Manipulation
- A Longitudinal Randomized Control Study of Companion Chatbot Use: Anthropomorphism and Its Mediating Role on Social Impacts
- The Heterogeneous Multi-Agent Challenge
- AIRwaves at CheckThat! 2025: Retrieving Scientific Sources for Implicit Claims on Social Media with Dual Encoders and Neural Re-Ranking
- Constraint-Reduced MILP with Local Outlier Factor Modeling for Plausible Counterfactual Explanations in Credit Approval
- Generative AI as a catalyst for democratic Innovation: Enhancing citizen engagement in participatory budgeting
- ArtiFree: Detecting and Reducing Generative Artifacts in Diffusion-based Speech Enhancement
- Chiseling: Powerful and Valid Subgroup Selection via Interactive Machine Learning
- Identifying and Addressing User-level Security Concerns in Smart Homes Using "Smaller" LLMs
- A Pipeline to Assess Merging Methods via Behavior and Internals
- Quantum Harmonic Analysis and the Structure in Data: Augmentation
- Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
- THINNs: Thermodynamically Informed Neural Networks
- A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
- The Indispensable Role of User Simulation in the Pursuit of AGI
- Anchored Langevin Algorithms
- The Platonic Universe: Do Foundation Models See the Same Sky?
- HUNT: High-Speed UAV Navigation and Tracking in Unstructured Environments via Instantaneous Relative Frames
- The Pareto Frontier of Resilient Jet Tagging
- Probabilistic Runtime Verification, Evaluation and Risk Assessment of Visual Deep Learning Systems
- Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
- EngravingGNN: A Hybrid Graph Neural Network for End-to-End Piano Score Engraving
- Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database
- Enhancing Credit Default Prediction Using Boruta Feature Selection and DBSCAN Algorithm with Different Resampling Techniques
- TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
- Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentation
- Online Adaptation via Dual-Stage Alignment and Self-Supervision for Fast-Calibration Brain-Computer Interfaces
- Overview of LifeCLEF Plant Identification task 2020
- SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs
- FedOC: Multi-Server FL with Overlapping Client Relays in Wireless Edge Networks
- Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG
- OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC
- Residual Off-Policy RL for Finetuning Behavior Cloning Policies
- VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction
- Audio-Based Pedestrian Detection in the Presence of Vehicular Noise
- SOE: Sample-Efficient Robot Policy Self-Improvement via On-Manifold Exploration
- OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps
- MOIS-SAM2: Exemplar-based Segment Anything Model 2 for multilesion interactive segmentation of neurofibromas in whole-body MRI
- DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture
- WolBanking77: Wolof Banking Speech Intent Classification Dataset
- SloPal: A 60-Million-Word Slovak Parliamentary Corpus with Aligned Speech and Fine-Tuned ASR Models
- Extracting Conceptual Spaces from LLMs Using Prototype Embeddings
- Discovering strategies for coastal resilience with AI-based prediction and optimization
- Moving by Looking: Towards Vision-Driven Avatar Motion Generation
- Graph-Radiomic Learning (GrRAiL) Descriptor to Characterize Imaging Heterogeneity in Confounding Tumor Pathologies
- Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps
- Recovering Wasserstein Distance Matrices from Few Measurements
- ConViS-Bench: Estimating Video Similarity Through Semantic Concepts
- Linear Regression under Missing or Corrupted Coordinates
- Stability and Generalization of Adversarial Diffusion Training
- Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
- Finding My Voice: Generative Reconstruction of Disordered Speech for Automated Clinical Evaluation
- DevFD: Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
- MsFIN: Multi-scale Feature Interaction Network for Traffic Accident Anticipation
- Neighbor Embeddings Using Unbalanced Optimal Transport Metrics
- Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction
- Video Killed the Energy Budget: Characterizing the Latency and Power Regimes of Open Text-to-Video Models
- FedFusion: Federated Learning with Diversity- and Cluster-Aware Encoders for Robust Adaptation under Label Scarcity
- HyKid: An Open MRI Dataset with Expert-Annotated Multi-Structure and Choroid Plexus in Pediatric Hydrocephalus
- Enabling Plant Phenotyping in Weedy Environments using Multi-Modal Imagery via Synthetic and Generated Training Data
- Parameter Space Analysis through Guided Visual Interpolations
- A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness
- Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
- The 1st Solution for MOSEv2 Challenge 2025: Long-term and Concept-aware Video Segmentation via SeC
- YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
- YOLO-LAN: Precise Polyp Detection via Optimized Loss, Augmentations and Negatives
- RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions
- Measuring AI "Slop" in Text
- CayleyPy Growth: Efficient growth computations and hundreds of new conjectures on Cayley graphs (Brief version)
- Realizable Circuit Complexity: Embedding Computation in Space-Time
- LLMs as verification oracles for Solidity
- Generative Propaganda
- GSTM-HMU: Generative Spatio-Temporal Modeling for Human Mobility Understanding
- KAMERA: Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments
- Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
- Analysis on distribution and clustering of weight
- FedFiTS: Fitness-Selected, Slotted Client Scheduling for Trustworthy Federated Learning in Healthcare AI
- LLM-based Vulnerability Discovery through the Lens of Code Metrics
- Track-On2: Enhancing Online Point Tracking with Memory
- Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation
- Human-Annotated NER Dataset for the Kyrgyz Language
- Are most sentences unique? An empirical examination of Chomskyan claims
- FUNCanon: Learning Pose-Aware Action Primitives via Functional Object Canonicalization for Generalizable Robotic Manipulation
- Algorithms for Adversarially Robust Deep Learning
- Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning
- Citrus-V: Advancing Medical Foundation Models with Unified Medical Image Grounding for Clinical Reasoning
- Digital Twins as Funhouse Mirrors: Five Key Distortions
- Zero-Shot Multi-Spectral Learning: Reimagining a Generalist Multimodal Gemini 2.5 Model for Remote Sensing Applications
- Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks
- Sa2VA-i: Improving Sa2VA Results with Consistent Training and Inference
- Diffusion Bridge Variational Inference for Deep Gaussian Processes
- Code Driven Planning with Domain-Adaptive Critic
- WaveletGaussian: Wavelet-domain Diffusion for Sparse-view 3D Gaussian Object Reconstruction
- Beyond Backpropagation: Exploring Innovative Algorithms for Energy-Efficient Deep Neural Network Training
- Towards Causal Representation Learning with Observable Sources as Auxiliaries
- A DyL-Unet framework based on dynamic learning for Temporally Consistent Echocardiographic Segmentation
- Charting a Decade of Computational Linguistics in Italy: The CLiC-it Corpus
- Improving Credit Card Fraud Detection through Transformer-Enhanced GAN Oversampling
- Landmarks, Monuments, and Beacons: Understanding Generative Calls to Action
- Clapping: Removing Per-sample Storage for Pipeline Parallel Distributed Optimization with Communication Compression
- Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model
- Minimum Bisection Problem: Machine Learning-Based Penalty Parameter Tuning for Optimization on Quantum Annealers
- Bayesian Calibration and Model Assessment of Cell Migration Dynamics with Surrogate Model Integration
- Theoretical Foundations of Representation Learning using Unlabeled Data: Statistics and Optimization
- CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure
- Learning From Simulators: A Theory of Simulation-Grounded Learning
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- Surgical Video Understanding with Label Interpolation
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- Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing
- Detection of security smells in IaC scripts through semantics-aware code and language processing
- Human-Interpretable Uncertainty Explanations for Point Cloud Registration
- Reconstruction of Optical Coherence Tomography Images from Wavelength-space Using Deep-learning
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- AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field
- Financial Risk Relation Identification through Dual-view Adaptation
- Experience Scaling: Post-Deployment Evolution For Large Language Models
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- Complexity of Activity Patterns in a Bio-Inspired Hopfield-Type Network in Different Topologies
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- LOTUSDIS: A Thai far-field meeting corpus for robust conversational ASR
- What Makes You Unique? Attribute Prompt Composition for Object Re-Identification
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- Learning When to Restart: Nonstationary Newsvendor from Uncensored to Censored Demand
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- NaviSense: A Multimodal Assistive Mobile application for Object Retrieval by Persons with Visual Impairment
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- BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
- The Case for Negative Data: From Crash Reports to Counterfactuals for Reasonable Driving
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- Solving Math Word Problems Using Estimation Verification and Equation Generation
- CPCLDETECTOR: Knowledge Enhancement and Alignment Selection for Chinese Patronizing and Condescending Language Detection
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- SEGA: A Transferable Signed Ensemble Gaussian Black-Box Attack against No-Reference Image Quality Assessment Models
- GeoRemover: Removing Objects and Their Causal Visual Artifacts
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- Re-uploading quantum data: a universal function approximator for quantum inputs
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- Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data
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- Source-Free Domain Adaptive Semantic Segmentation of Remote Sensing Images with Diffusion-Guided Label Enrichment
- BridgeSplat: Bidirectionally Coupled CT and Non-Rigid Gaussian Splatting for Deformable Intraoperative Surgical Navigation
- Hybrid Data can Enhance the Utility of Synthetic Data for Training Anti-Money Laundering Models
- Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction
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- Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
- Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning
- Physics-informed time series analysis with Kolmogorov-Arnold Networks under Ehrenfest constraints
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- Machine learning approach to single-shot multiparameter estimation for the non-linear Schr"odinger equation