Papers
Tue 21 Oct 2025
376 papers
- EdgeReasoning: Characterizing Reasoning LLM Deployment on Edge GPUsLLM reasoning → Reasoning for agents, planning and code
- Activating Visual Context and Commonsense Reasoning through Masked Prediction in VLMsLLM reasoning → Multimodal reasoning
- DiffGRM: Diffusion-based Generative Recommendation ModelDiffusion models → Diffusion recommenders
- Can Reasoning Models Obfuscate Reasoning? Stress-Testing Chain-of-Thought MonitorabilityLLM reasoning → Prompting and chain-of-thought reasoning
- Prompt Decorators: A Declarative and Composable Syntax for Reasoning, Formatting, and Control in LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- A Cross-Environment and Cross-Embodiment Path Planning Framework via a Conditional Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
- When Your AI Agent Succumbs to Peer-Pressure: Studying Opinion-Change Dynamics of LLMsLLM agents and tool use → Social simulation and multi-agent debate
- What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical ReasoningLLM reasoning → Mathematical reasoning
- PoSh: Using Scene Graphs To Guide LLMs-as-a-Judge For Detailed Image DescriptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- The MUSE Benchmark: Probing Music Perception and Auditory Relational Reasoning in Audio LLMSLLM reasoning → Audio-language model reasoning +1
- Rectifying Shortcut Behaviors in Preference-based Reward LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean DialoguesLLM reasoning → Reasoning benchmarks and evaluation
- MoAlign: Motion-Centric Representation Alignment for Video Diffusion ModelsDiffusion models → Video generation
- XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software SecurityRetrieval-augmented generation → Privacy and security of RAG
- Robust Driving QA through Metadata-Grounded Context and Task-Specific PromptsLLM reasoning → Chain-of-thought reasoning for driving +2
- Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimalityLLM reasoning → Test-time compute and efficient thinking
- Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic SearchLLM agents and tool use → Web, search, and research agents
- Noise-corrected GRPO: From Noisy Rewards to Unbiased GradientsLLM reasoning → Reinforcement learning for reasoning +1
- Fairness Evaluation and Inference Level Mitigation in LLMsLLM safety and security → Safety alignment, refusal and guardrails
- ADPO: Anchored Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Learning from the Best, Differently: A Diversity-Driven Rethinking on Data SelectionLLM reasoning → Reasoning benchmarks and evaluation
- Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- EffiReasonTrans: RL-Optimized Reasoning for Code TranslationLLM reasoning → Reasoning benchmarks and evaluation
- Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking ModelLLM reasoning → Reinforcement learning for reasoning
- DP2O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration +1
- Towards Faithful and Controllable Personalization via Critique-Post-Edit Reinforcement LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Unifying and Enhancing Graph Transformers via a Hierarchical Mask FrameworkMixture-of-experts → MoE for time series and graphs
- Search Self-play: Pushing the Frontier of Agent Capability without SupervisionLLM agents and tool use → Web, search, and research agents +1
- Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health MonitoringLLM reasoning → Prompting and chain-of-thought reasoning
- A Model Can Help Itself: Reward-Free Self-Training for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- KAT-Coder Technical ReportLLM agents and tool use → Software engineering coding agents
- A Frequentist Statistical Introduction to Variational Inference, Autoencoders, and Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- HarmNet: A Framework for Adaptive Multi-Turn Jailbreak Attacks on Large Language ModelsLLM safety and security → Jailbreaking
- IF-VidCap: Can Video Caption Models Follow Instructions?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- SSD: Spatial-Semantic Head Decoupling for Efficient Autoregressive Image GenerationEfficient LLM inference and serving → Fast autoregressive visual generation
- Exploring a Unified Vision-Centric Contrastive Alternatives on Multi-Modal Web DocumentsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Fetch.ai: An Architecture for Modern Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- MoGA: Mixture-of-Groups Attention for End-to-End Long Video GenerationDiffusion models → Video generation
- MLMA: Towards Multilingual ASR With Mamba-based ArchitecturesState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Exploring Membership Inference Vulnerabilities in Clinical Large Language ModelsLLM safety and security → Membership inference attacks
- Reasoning Language Model Inference Serving Unveiled: An Empirical StudyLLM reasoning → Test-time compute and efficient thinking +1
- Query Decomposition for RAG: Balancing Exploration-ExploitationRetrieval-augmented generation → RAG pipeline design and evaluation
- Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited ViewsLLM reasoning → Spatial and embodied reasoning +1
- Visual Attention Reasoning via Hierarchical Search and Self-VerificationLLM reasoning → Multimodal reasoning +1
- A Compositional Paradigm for Foundation Models: Towards Smarter Robotic AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- CUARewardBench: A Benchmark for Evaluating Reward Models on Computer-using AgentLLM agents and tool use → GUI and mobile agents +1
- TokenCake: A KV-Cache-centric Serving Framework for LLM-based Multi-Agent ApplicationsEfficient LLM inference and serving → Efficient reasoning and agent inference
- CLASP: Cost-Optimized LLM-based Agentic System for Phishing DetectionLLM agents and tool use → Agent threats, guardrails and governance
- CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text EncoderMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- The Trust Paradox in LLM-Based Multi-Agent Systems: When Collaboration Becomes a Security VulnerabilityLLM agents and tool use → Agent threats, guardrails and governance
- SOCIA-Nabla: Textual Gradient Meets Multi-Agent Orchestration for Automated Simulator GenerationLLM agents and tool use → Software engineering coding agents
- Noise-Conditioned Mixture-of-Experts Framework for Robust Speaker VerificationMixture-of-experts → Multimodal MoE models
- Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language ModelsLLM reasoning → Causal reasoning in LLMs +1
- From Quarter to All: Accelerating Speculative LLM Decoding via Floating-Point Exponent Remapping and Parameter SharingEfficient LLM inference and serving → Speculative decoding
- Socialized Learning and Emergent Behaviors in Multi-Agent Systems based on Multimodal Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
- Identity-Aware Large Language Models require Cultural ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- VAPU: System for Autonomous Legacy Code ModernizationLLM agents and tool use → Software engineering coding agents
- Zero-Shot Vehicle Model Recognition via Text-Based Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Crucible: Quantifying the Potential of Control Algorithms through LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- AndroidControl-Curated: Revealing the True Potential of GUI Agents through Benchmark PurificationLLM agents and tool use → GUI and mobile agents
- StarBench: A Turn-Based RPG Benchmark for Agentic Multimodal Decision-Making and Information SeekingLLM agents and tool use → Reinforcement learning for LLM agents
- How Efficient Are Diffusion Language Models? A Critical Examination of Efficiency Evaluation PracticesDiffusion models → Discrete and text diffusion
- LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data SourcesLLM agents and tool use → Web, search, and research agents
- Probabilistic Modeling of Intentions in Socially Intelligent LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMsLLM reasoning → Mathematical reasoning
- VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG BenchmarksRetrieval-augmented generation → RAG pipeline design and evaluation
- Engagement Undermines Safety: How Stereotypes and Toxicity Shape Humor in Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- LAND: Lung and Nodule Diffusion for 3D Chest CT Synthesis with Anatomical GuidanceDiffusion models → Medical imaging and segmentation
- PlanU: Large Language Model Reasoning through Planning under UncertaintyLLM reasoning → Reasoning for agents, planning and code
- Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language TranslationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience LibrarySynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Med-VRAgent: A Framework for Medical Visual Reasoning-Enhanced AgentsLLM reasoning → Clinical and biomedical applications +2
- Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy GamesLLM agents and tool use → Reinforcement learning for LLM agents
- Training Diverse Graph Experts for Ensembles: A Systematic Empirical StudyMixture-of-experts → MoE for time series and graphs
- KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMsLLM reasoning → Reasoning benchmarks and evaluation
- KrishokBondhu: A Retrieval-Augmented Voice-Based Agricultural Advisory Call Center for Bengali FarmersRetrieval-augmented generation → Time series and agricultural RAG
- Ranking-based Preference Optimization for Diffusion Models from Implicit User FeedbackDiffusion models → Diffusion and flow policies for robotics +1
- ECG-LLM -- training and evaluation of domain-specific large language models for electrocardiographyRetrieval-augmented generation → Medical and biomedical RAG
- MoTVLA: A Vision-Language-Action Model with Unified Fast-Slow ReasoningVision-language-action models → Reasoning and chain-of-thought in VLA
- Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical AdoptionLLM safety and security → Watermarking generated content and models
- Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow MatchingDiffusion models → Flow matching, time series and science
- Beyond Single Models: Mitigating Multimodal Hallucinations via Adaptive Token Ensemble DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting TaskWorld models → World models for language agents
- Genesis: Evolving Attack Strategies for LLM Web Agent Red-TeamingLLM agents and tool use → Agent threats, guardrails and governance +1
- OmniNWM: Omniscient Driving Navigation World ModelsWorld models → World models for autonomous driving +1
- The Impact of Image Resolution on Biomedical Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Proactive Reasoning-with-Retrieval Framework for Medical Multimodal Large Language ModelsLLM reasoning → Clinical and biomedical applications +1
- GeoDiff: Geometry-Guided Diffusion for Metric Depth EstimationDiffusion models → 3D, point cloud and scene generation
- Food4All: An Agentic Framework and Benchmark for Food Resource Navigation with Adaptive User UnderstandingLLM agents and tool use → Social simulation and multi-agent debate
- Text or Pixels? It Takes Half: On the Token Efficiency of Visual Text Inputs in Multimodal LLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- StreamingTOM: Streaming Token Compression for Efficient Video UnderstandingMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- UWBench: A Comprehensive Vision-Language Benchmark for Underwater UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DelvePO: Direction-Guided Self-Evolving Framework for Flexible Prompt OptimizationSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Illusions of reflection: open-ended task reveals systematic failures in Large Language Models' reflective reasoningLLM reasoning → Test-time compute and efficient thinking
- LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scalingLLM reasoning → LLM reasoning for recommendation
- RESCUE: Retrieval Augmented Secure Code GenerationRetrieval-augmented generation → Privacy and security of RAG
- RadDiagSeg-M: A Vision Language Model for Joint Diagnosis and Multi-Target Segmentation in RadiologyMultimodal LLMs / vision-language models → Medical vision-language models
All 376
- ActivationReasoning: Logical Reasoning in Latent Activation SpacesLLM reasoning → Reasoning benchmarks and evaluation
- Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Motion2Meaning: A Clinician-Centered Framework for Contestable LLM in Parkinson's Disease Gait Interpretation
- WildfireGenome: Interpretable Machine Learning Reveals Local Drivers of Wildfire Risk and Their Cross-County Variation
- Deep Learning-Enhanced Real-Time Wi-Fi Sensing Through Single Transceiver Pair
- Effectiveness of High-Dimensional Distance Metrics on Solar Flare Time Series
- Learned Cost Model for Placement on Reconfigurable Dataflow Hardware
- CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution
- BondBERT: What we learn when assigning sentiment in the bond market
- Condition-Invariant fMRI Decoding of Speech Intelligibility with Deep State Space Model
- DiffPace: Diffusion-based Plug-and-play Augmented Channel Estimation in mmWave and Terahertz Ultra-Massive MIMO Systems
- Stable-by-Design Neural Network-Based LPV State-Space Models for System Identification
- Short Ticketing Detection Framework Analysis Report
- Beyond Point Matching: Evaluating Multiscale Dubuc Distance for Time Series Similarity
- Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
- Wavelet-based GAN Fingerprint Detection using ResNet50
- Prompt fidelity of ChatGPT4o / Dall-E3 text-to-image visualisations
- Unlocking Biomedical Insights: Hierarchical Attention Networks for High-Dimensional Data Interpretation
- Geographic Transferability of Machine Learning Models for Short-Term Airport Fog Forecasting
- VITA-E: Natural Embodied Interaction with Concurrent Seeing, Hearing, Speaking, and Acting
- HDR Image Reconstruction using an Unsupervised Fusion Model
- Gestura: A LVLM-Powered System Bridging Motion and Semantics for Real-Time Free-Form Gesture Understanding
- SITS-DECO: A Generative Decoder Is All You Need For Multitask Satellite Image Time Series Modelling
- Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
- Comparative Analysis of Object Detection Algorithms for Surface Defect Detection
- Hybrid Deep Learning Framework for Enhanced Diabetic Retinopathy Detection: Integrating Traditional Features with AI-driven Insights
- Embodied Navigation with Auxiliary Task of Action Description Prediction
- Semantic Relation-Enhanced CLIP Adapter for Domain Adaptive Zero-Shot Learning
- Frame-Difference Guided Dynamic Region Perception for CLIP Adaptation in Text-Video Retrieval
- XRePIT: A deep learning-computational fluid dynamics hybrid framework implemented in OpenFOAM for fast, robust, and scalable unsteady simulations
- Can large audio language models understand child stuttering speech? speech summarization, and source separation
- Cultural Alien Sampler: Open-ended art generation balancing originality and coherence
- Integrated representational signatures strengthen specificity in brains and models
- This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
- QKCV Attention: Enhancing Time Series Forecasting with Static Categorical Embeddings for Both Lightweight and Pre-trained Foundation Models
- Some Attention is All You Need for Retrieval
- Analysing Knowledge Construction in Online Learning: Adapting the Interaction Analysis Model for Unstructured Large-Scale Discourse
- Multi-Resolution Analysis of the Convective Structure of Tropical Cyclones for Short-Term Intensity Guidance
- Re-Activating Frozen Primitives for 3D Gaussian Splatting
- Training-Free Spectral Fingerprints of Voice Processing in Transformers
- Steering Autoregressive Music Generation with Recursive Feature Machines
- Learning Peer Influence Probabilities with Linear Contextual Bandits
- A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx
- A Graph Signal Processing Framework for Hallucination Detection in Large Language Models
- That's Deprecated! Understanding, Detecting, and Steering Knowledge Conflicts in Language Models for Code Generation
- Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting
- Advancing Brain Tumor Segmentation via Attention-based 3D U-Net Architecture and Digital Image Processing
- MetaCluster: Enabling Deep Compression of Kolmogorov-Arnold Network
- Weight Decay may matter more than muP for Learning Rate Transfer in Practice
- Learning noisy tissue dynamics across time scales
- UniHPR: Unified Human Pose Representation via Singular Value Contrastive Learning
- Local Guidance for Configuration-Based Multi-Agent Pathfinding
- POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning
- REPAIR Approach for Social-based City Reconstruction Planning in case of natural disasters
- Empowering Decision Trees via Shape Function Branching
- From Memorization to Generalization: Fine-Tuning Large Language Models for Biomedical Term-to-Identifier Normalization
- "Over-the-Hood" AI Inclusivity Bugs and How 3 AI Product Teams Found and Fixed Them
- When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
- CLiVR: Conversational Learning System in Virtual Reality with AI-Powered Patients
- Re:Member: Emotional Question Generation from Personal Memories
- FlexiDataGen: An Adaptive LLM Framework for Dynamic Semantic Dataset Generation in Sensitive Domains
- Category learning in deep neural networks: Information content and geometry of internal representations
- Calibrated Principal Component Regression
- Prior-informed optimization of treatment recommendation via bandit algorithms trained on large language model-processed historical records
- Plural Voices, Single Agent: Towards Inclusive AI in Multi-User Domestic Spaces
- Dynamic Evaluation for Oversensitivity in LLMs
- Deltat-Mamba3D: A Time-Aware Spatio-Temporal State-Space Model for Breast Cancer Risk Prediction
- Impartial Selection with Predictions
- OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping
- An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
- Solver-Integrated Adversarial Attacking and Training of Neural Operators
- Timely Clinical Diagnosis through Active Test Selection
- Ninja Codes: Neurally Generated Fiducial Markers for Stealthy 6-DoF Tracking
- ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
- NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning
- StutterZero and StutterFormer: End-to-End Speech Conversion for Stuttering Transcription and Correction
- Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications
- Position: Many generalization measures for deep learning are fragile
- Evaluating LLM Story Generation through Large-scale Network Analysis of Social Structures
- A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluation
- BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
- Application of Reduced-Order Models for Temporal Multiscale Representations in the Prediction of Dynamical Systems
- Benchmarking On-Device Machine Learning on Apple Silicon with MLX
- Misinformation Detection using Large Language Models with Explainability
- UNO-Bench: A Unified Benchmark for Exploring the Compositional Law Between Uni-modal and Omni-modal in Omni Models
- Prospects for Using Artificial Intelligence to Understand Intrinsic Kinetics of Heterogeneous Catalytic Reactions
- Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape
- Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets
- 3D Optimization for AI Inference Scaling: Balancing Accuracy, Cost, and Latency
- DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code
- Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting
- DSI-Bench: A Benchmark for Dynamic Spatial Intelligence
- How Do LLMs Use Their Depth?
- Triangle Multiplication Is All You Need For Biomolecular Structure Representations
- LightMem: Lightweight and Efficient Memory-Augmented Generation
- Lyapunov-Aware Quantum-Inspired Reinforcement Learning for Continuous-Time Vehicle Control: A Feasibility Study
- Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
- A Hybrid Enumeration Framework for Optimal Counterfactual Generation in Post-Acute COVID-19 Heart Failure
- See the Text: From Tokenization to Visual Reading
- FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning
- MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training
- Actor-Free Continuous Control via Structurally Maximizable Q-Functions
- SO(3)-invariant PCA with application to molecular data
- An AI enhanced approach to the tree unimodality conjecture
- BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
- SAM 2++: Tracking Anything at Any Granularity
- An Explainable Hybrid AI Framework for Enhanced Tuberculosis and Symptom Detection
- A Geometric Approach to Steerable Convolutions
- A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation
- When LRP Diverges from Leave-One-Out in Transformers
- Does Feedback Alignment Work at Biological Timescales?
- Decoding Funded Research: Comparative Analysis of Topic Models and Uncovering the Effect of Gender and Geographic Location
- Computational Foundations for Strategic Coopetition: Formalizing Interdependence and Complementarity
- WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
- ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
- Protein generation with embedding learning for motif diversification
- Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams
- CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training
- Enhancing Fractional Gradient Descent with Learned Optimizers
- Decoupled Complementary Spectral-Spatial Learning for Background Representation Enhancement in Hyperspectral Anomaly Detection
- UltraGen: High-Resolution Video Generation with Hierarchical Attention
- AI use in American newspapers is widespread, uneven, and rarely disclosed
- Detection and Simulation of Urban Heat Islands Using a Fine-Tuned Geospatial Foundation Model for Microclimate Impact Prediction
- Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
- Seg the HAB: Language-Guided Geospatial Algae Bloom Reasoning and Segmentation
- Symbolic Emulators for Cosmology: Accelerating Cosmological Analyses Without Sacrificing Precision
- Topoformer: brain-like topographic organization in Transformer language models through spatial querying and reweighting
- Diffusion Buffer for Online Generative Speech Enhancement
- SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery
- Moving Light Adaptive Colonoscopy Reconstruction via Illumination-Attenuation-Aware 3D Gaussian Splatting
- Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
- SemiAdapt and SemiLoRA: Efficient Domain Adaptation for Transformer-based Low-Resource Language Translation with a Case Study on Irish
- Adapting Language Balance in Code-Switching Speech
- Bayesian Low-Rank Factorization for Robust Model Adaptation
- Causally Perturbed Fairness Testing
- PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-Forward Planar Splatting
- Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
- A Renaissance of Explicit Motion Information Mining from Transformers for Action Recognition
- UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image Generation
- Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering
- Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
- Learning Task-Agnostic Representations through Multi-Teacher Distillation
- Beyond the Pipeline: Analyzing Key Factors in End-to-End Deep Learning for Historical Writer Identification
- On-Device Inference versus Wireless Streaming: Energy-Efficient Multi-Modal Deep Learning for Wearable Cardiovascular Patches
- Image augmentation with invertible networks in interactive satellite image change detection
- Sherlock Your Queries: Learning to Ask the Right Questions for Dialogue-Based Retrieval
- Differentially Private E-Values
- Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
- Learning Time-Varying Turn-Taking Behavior in Group Conversations
- Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction
- Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
- ε-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
- C-SWAP: Explainability-Aware Structured Pruning for Efficient Neural Networks Compression
- Hardness of Learning Regular Languages in the Next Symbol Prediction Setting
- Comparative Expressivity for Structured Argumentation Frameworks with Uncertain Rules and Premises
- Dynamical model parameters from ultrasound tongue kinematics
- Leveraging Association Rules for Better Predictions and Better Explanations
- A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees
- Unrolled-SINDy: A Stable Explicit Method for Non linear PDE Discovery from Sparsely Sampled Data
- Channel-Aware Vector Quantization for Robust Semantic Communication on Discrete Channels
- Robustness Verification of Graph Neural Networks Via Lightweight Satisfiability Testing
- Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
- The Cost-Benefit of Interdisciplinarity in AI for Mental Health
- HeFS: Helper-Enhanced Feature Selection via Pareto-Optimized Genetic Search
- Kaleido: Open-Sourced Multi-Subject Reference Video Generation Model
- A Multi-Evidence Framework Rescues Low-Power Prognostic Signals and Rejects Statistical Artifacts in Cancer Genomics
- QuantEvolve: Automating Quantitative Strategy Discovery through Multi-Agent Evolutionary Framework
- Large language models for folktale type automation based on motifs: Cinderella case study
- WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
- RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
- Building Trust in Clinical LLMs: Bias Analysis and Dataset Transparency
- Extracting alignment data in open models
- Occluded nuScenes: A Multi-Sensor Dataset for Evaluating Perception Robustness in Automated Driving
- Interval Prediction of Annual Average Daily Traffic on Local Roads via Quantile Random Forest with High-Dimensional Spatial Data
- EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
- Pay Attention to the Triggers: Constructing Backdoors That Survive Distillation
- GBlobs: Local LiDAR Geometry for Improved Sensor Placement Generalization
- Physics-guided Emulators Reveal Resilience and Fragility under Operational Latencies and Outages
- RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation
- Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints
- Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining
- DWaste: Greener AI for Waste Sorting using Mobile and Edge Devices
- Alibaba International E-commerce Product Search Competition DILAB Team Technical Report
- One Size Fits All? A Modular Adaptive Sanitization Kit (MASK) for Customizable Privacy-Preserving Phone Scam Detection
- Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos
- Learning to Navigate Under Imperfect Perception: Conformalised Segmentation for Safe Reinforcement Learning
- Safe But Not Sorry: Reducing Over-Conservatism in Safety Critics via Uncertainty-Aware Modulation
- DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
- Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
- CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
- IMB: An Italian Medical Benchmark for Question Answering
- Simple and Efficient Heterogeneous Temporal Graph Neural Network
- CEFR-Annotated WordNet: LLM-Based Proficiency-Guided Semantic Database for Language Learning
- DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
- Learning Boltzmann Generators via Constrained Mass Transport
- DeLoad: Demand-Driven Short-Video Preloading with Scalable Watch-Time Estimation
- Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection
- Overparametrization bends the landscape: BBP transitions at initialization in simple Neural Networks
- ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization
- ScaleNet: Scaling up Pretrained Neural Networks with Incremental Parameters
- Optimistic Higher-Order Superposition
- Automated urban waterlogging assessment and early warning through a mixture of foundation models
- On AI Verification in Open RAN
- Adamas: Hadamard Sparse Attention for Efficient Long-Context Inference
- Deep Learning-Based Control Optimization for Glass Bottle Forming
- A machine learning approach to automation and uncertainty evaluation for self-validating thermocouples
- Provable Generalization Bounds for Deep Neural Networks with Momentum-Adaptive Gradient Dropout
- Heterogeneous Adversarial Play in Interactive Environments
- Learning from N-Tuple Data with M Positive Instances: Unbiased Risk Estimation and Theoretical Guarantees
- Automated Wicket-Taking Delivery Segmentation and Trajectory-Based Dismissal-Zone Analysis in Cricket Videos Using OCR-Guided YOLOv8
- Bayesian Fully-Connected Tensor Network for Hyperspectral-Multispectral Image Fusion
- Entropy-Enhanced Conformal Features from Ricci Flow for Robust Alzheimer's Disease Classification
- Approximation Rates of Shallow Neural Networks: Barron Spaces, Activation Functions and Optimality Analysis
- MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation
- S2AP: Score-space Sharpness Minimization for Adversarial Pruning
- Cross-Modal Scene Semantic Alignment for Image Complexity Assessment
- Towards Fair ASR For Second Language Speakers Using Fairness Prompted Finetuning
- Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
- FeatureFool: Zero-Query Fooling of Video Models via Feature Map
- Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
- Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
- Learning Human-Object Interaction as Groups
- Computable universal online learning
- PGTT: Phase-Guided Terrain Traversal for Perceptive Legged Locomotion
- AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answering
- GPTFace: Generative Pre-training of Facial-Linguistic Transformer by Span Masking and Weakly Correlated Text-image Data
- Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction
- ShortcutBreaker: Low-Rank Noisy Bottleneck and Frequency Filtering Block for Multi-Class Unsupervised Anomaly Detection
- ViSE: A Systematic Approach to Vision-Only Street-View Extrapolation
- Why Policy Gradient Algorithms Work for Undiscounted Total-Reward MDPs
- Parametrising the Inhomogeneity Inducing Capacity of a Training Set, and its Impact on Supervised Learning
- Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ABHFA-Net
- Uncertainty Estimation by Flexible Evidential Deep Learning
- Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning
- Towards Identifiability of Hierarchical Temporal Causal Representation Learning
- A Distributed Framework for Causal Modeling of Performance Variability in GPU Traces
- Physics-Informed Parametric Bandits for Beam Alignment in mmWave Communications
- From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
- BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks
- Efficient Few-shot Identity Preserving Attribute Editing for 3D-aware Deep Generative Models
- Online Time Series Forecasting with Theoretical Guarantees
- TreeFedDG: Alleviating Global Drift in Federated Domain Generalization for Medical Image Segmentation
- Latent-Info and Low-Dimensional Learning for Human Mesh Recovery and Parallel Optimization
- SPIKE: Stable Physics-Informed Kernel Evolution Method for Solving Hyperbolic Conservation Laws
- From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation
- Learning under Quantization for High-Dimensional Linear Regression
- NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
- Hyperbolic Space Learning Method Leveraging Temporal Motion Priors for Human Mesh Recovery
- OpenInsGaussian: Open-vocabulary Instance Gaussian Segmentation with Context-aware Cross-view Fusion
- Finding the Sweet Spot: Optimal Data Augmentation Ratio for Imbalanced Credit Scoring Using ADASYN
- ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning
- Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
- BlendCLIP: Bridging Synthetic and Real Domains for Zero-Shot 3D Object Classification with Multimodal Pretraining
- Fast and Efficient Parallel Sampling Using Higher Order Langevin Dynamics
- Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment
- Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards
- DeepSeek-OCR: Contexts Optical Compression
- ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control
- Unbiased Object Detection Beyond Frequency with Visually Prompted Image Synthesis
- Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations
- Joint Optimization of Cooperation Efficiency and Communication Covertness for Target Detection with AUVs
- EVER: Edge-Assisted Auto-Verification for Mobile MR-Aided Operation
- The Emergence of Complex Behavior in Large-Scale Ecological Environments
- DualHash: A Stochastic Primal-Dual Algorithm with Theoretical Guarantee for Deep Hashing
- The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective
- VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety
- EMA-SAM: Exponential Moving-average for SAM-based PTMC Segmentation
- A Definition of AGI
- MARCUS: An Event-Centric NLP Pipeline that generates Character Arcs from Narratives
- Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge
- Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks
- FST.ai 2.0: An Explainable AI Ecosystem for Fair, Fast, and Inclusive Decision-Making in Olympic and Paralympic Taekwondo
- Joint Estimation of Piano Dynamics and Metrical Structure with a Multi-task Multi-Scale Network
- A Generalizable Light Transport 3D Embedding for Global Illumination
- VelocityNet: Real-Time Crowd Anomaly Detection via Person-Specific Velocity Analysis
- NashPG: A Policy Gradient Method with Iteratively Refined Regularization for Finding Nash Equilibria