Papers
Sun 25 May 2025
280 papers
- AI Pedagogy: Dialogic Social Learning for Artificial AgentsLLM agents and tool use → Educational agents and math problem solving
- Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow MatchingDiffusion models → Medical imaging and segmentation
- Rethinking the Understanding Ability across LLMs through Mutual InformationLLM reasoning → Reasoning benchmarks and evaluation
- Nine Ways to Break Copyright Law and Why Our LLM Won't: A Fair Use Aligned Generation FrameworkLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Position: Collaborative Agentic AI Needs Interoperability Across EcosystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited DataLLM reasoning → Reinforcement learning for reasoning +1
- Adaptive Diffusion Guidance via Stochastic Optimal ControlDiffusion models → Diffusion foundations and sampling
- RADEP: A Resilient Adaptive Defense Framework Against Model Extraction AttacksLLM safety and security → Watermarking generated content and models
- Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel EnvironmentsLLM reasoning → Reasoning benchmarks and evaluation
- ChartLens: Fine-grained Visual Attribution in ChartsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Towards Humanoid Robot Autonomy: A Dynamic Architecture Integrating Continuous thought Machines (CTM) and Model Context Protocol (MCP)LLM agents and tool use → Multimodal and embodied agents
- Prompting Decision Transformers for Zero-Shot Reach-Avoid PoliciesOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- Paying Alignment Tax with Contrastive LearningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Concept Reachability in Diffusion Models: Beyond Dataset ConstraintsDiffusion models → Image generation, text-to-image and editing
- DocMMIR: A Framework for Document Multi-modal Information RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and BenchmarkingRetrieval-augmented generation → RAG pipeline design and evaluation
- A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access ControlLLM agents and tool use → Agent threats, guardrails and governance
- SituatedThinker: Grounding LLM Reasoning with Real-World through Situated ThinkingLLM reasoning → Reasoning for agents, planning and code
- TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- Hypercube-Based Retrieval-Augmented Generation for Scientific Question-AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- RankLLM: A Python Package for Reranking with LLMsMixture-of-experts → MoE large language models
- A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Agentic Information Theory: Ergodicity and Intrinsic Semantics of Information ProcessesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Enhancing Text-to-Image Diffusion Transformer via Split-Text ConditioningDiffusion models → Image generation, text-to-image and editing
- ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent DefenseLLM agents and tool use → Agent threats, guardrails and governance
- Towards Large Reasoning Models for AgricultureLLM reasoning → Clinical and biomedical applications
- VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool UseLLM reasoning → Multimodal reasoning +1
- DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep ResearchLLM agents and tool use → Web, search, and research agents
- PATS: Process-Level Adaptive Thinking Mode SwitchingLLM reasoning → Test-time compute and efficient thinking
- Improving Value Estimation Critically Enhances Vanilla Policy GradientDeep reinforcement learning methods → RL theory and sample complexity
- To CoT or To Loop? A Formal Comparison Between Chain-of-Thought and Looped TransformersLLM reasoning → Prompting and chain-of-thought reasoning
- Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ActiveDPO: Active Direct Preference Optimization for Sample-Efficient AlignmentLLM reasoning → Reinforcement learning for reasoning +1
- DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous DrivingWorld models → World models for autonomous driving +1
- Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity GuaranteesDeep reinforcement learning methods → RL theory and sample complexity
- Sensorimotor Self-Recognition in Multimodal Large Language Model-Driven RobotsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph ModelingLLM agents and tool use → Agent threats, guardrails and governance
- LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +2
- Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent PathfindingLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE TrainingLLM reasoning → Test-time compute and efficient thinking +1
- Improving Medical Reasoning with Curriculum-Aware Reinforcement LearningLLM reasoning → Clinical and biomedical applications
- Towards Understanding the Mechanisms of Classifier-Free GuidanceDiffusion models → Diffusion foundations and sampling
- OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter OptimizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative DecodingMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and GuidanceLLM agents and tool use → Financial trading and forecasting agents
- CoCA: Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuningDiffusion models → Diffusion and flow policies for robotics +2
- CardioCoT: Hierarchical Reasoning for Multimodal Survival AnalysisLLM reasoning → Clinical and biomedical applications
- I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-ExpertsMixture-of-experts → Multimodal MoE models
- POQD: Performance-Oriented Query Decomposer for Multi-vector retrievalRetrieval-augmented generation → RAG pipeline design and evaluation
- LIMOPro: Reasoning Refinement for Efficient and Effective Test-time ScalingLLM reasoning → Test-time compute and efficient thinking
- When Two LLMs Debate, Both Think They'll WinLLM reasoning → Reasoning for agents, planning and code
- Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-JudgeLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning StyleRetrieval-augmented generation → Agentic RAG, agents and memory +1
- JEDI: The Force of Jensen-Shannon Divergence in Disentangling Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering CooperationDiffusion models → Video generation
- Shifting AI Efficiency From Model-Centric to Data-Centric CompressionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Incentivizing High-Quality Human Annotations with Golden QuestionsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- MMATH: A Multilingual Benchmark for Mathematical ReasoningLLM reasoning → Mathematical reasoning
- RTime-QA: A Benchmark for Atomic Temporal Event Understanding in Large Multi-modal ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Exploring Magnitude Preservation and Rotation Modulation in Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic DesignDiffusion models → Image generation, text-to-image and editing
- Self-Critique Guided Iterative Reasoning for Multi-hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Remote Sensing Image Classification with Decoupled Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language ModelsLLM reasoning → Hallucination detection and mitigation
- Latent Mamba Operator for Partial Differential EquationsState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Agentic Visualization: Extracting Agent-based Design Patterns from Visualization SystemsLLM agents and tool use → Multimodal and embodied agents
- ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- SeePhys: Does Seeing Help Thinking? -- Benchmarking Vision-Based Physics ReasoningLLM reasoning → Spatial and embodied reasoning
- ScreenExplorer: Training a Vision-Language Model for Diverse Exploration in Open GUI WorldMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SATORI-R1: Incentivizing Multimodal Reasoning through Explicit Visual AnchoringLLM reasoning → Multimodal reasoning
- Reinforced Latent Reasoning for LLM-based RecommendationLLM reasoning → LLM reasoning for recommendation
- ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Plug-and-Play Context Feature Reuse for Efficient Masked GenerationEfficient LLM inference and serving → Fast autoregressive visual generation
- ReFineVLA: Reasoning-Aware Teacher-Guided Transfer Fine-TuningVision-language-action models → Reasoning and chain-of-thought in VLA
- ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart UnderstandingLLM reasoning → Multimodal reasoning
- Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMsLLM reasoning → Test-time compute and efficient thinking
- Training-free Stylized Text-to-Image Generation with Fast InferenceDiffusion models → Image generation, text-to-image and editing
- Distributionally Robust Deep Q-LearningDeep reinforcement learning methods → RL theory and sample complexity
- An Embarrassingly Simple Defense Against LLM Abliteration AttacksLLM safety and security → Safety alignment, refusal and guardrails
- Structured Reinforcement Learning for Combinatorial Decision-MakingDeep reinforcement learning methods → RL for games and combinatorial optimization
- When Models Don't Collapse: On the Consistency of Iterative MLESynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Medical Large Vision Language Models with Multi-Image Visual AbilityMultimodal LLMs / vision-language models → Medical vision-language models
- InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic ChartsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- WorldEval: World Model as Real-World Robot Policies EvaluatorWorld models → Embodied and robot world models +1
- Can Multimodal Large Language Models Understand Spatial Relations?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Semi-pessimistic Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
- VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy OptimizationLLM reasoning → Multimodal reasoning +1
- STRICT: Stress Test of Rendering Images Containing TextDiffusion models → Image generation, text-to-image and editing
- Dynamic Optimization and Safety Indicator Injection for Jailbreaking Text-to-Image Models with Multimodal Safety FiltersLLM safety and security → Vision-language and text-to-image safety
- AI4Math: A Native Spanish Benchmark for University-Level Mathematical Reasoning in Large Language ModelsLLM reasoning → Mathematical reasoning
- FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate QuantizationState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Hierarchical Mamba Meets Hyperbolic Geometry: A New Paradigm for Structured Language EmbeddingsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- MGD3: Mode-Guided Dataset Distillation using Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic ShortcutsLLM reasoning → Prompting and chain-of-thought reasoning
- Weaver: Interweaving SQL and LLM for Table ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Co-PatcheR: Collaborative Software Patching with Component(s)-specific Small Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code
- Online Knowledge Distillation with Reward GuidanceLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Exact Expressive Power of Transformers with PaddingLLM reasoning → Prompting and chain-of-thought reasoning
- OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
All 280
- SANNet: A Semantic-Aware Agentic AI Networking Framework for Multi-Agent Cross-Layer CoordinationLLM agents and tool use → Agentic AI for wireless networks
- Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and BackEnd-to-end autonomous driving → Generative simulation for driving
- MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent SystemsLLM reasoning → Reasoning benchmarks and evaluation +1
- Behavior Injection: Preparing Language Models for Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question AnsweringLLM reasoning → Clinical and biomedical applications +1
- Stronger Enforcement of Instruction Hierarchy via Augmented Intermediate RepresentationsLLM safety and security → Prompt injection and agent security
- BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
- S2GPT-PINNs: Sparse and Small models for PDEs
- Learning from M-Tuple Dominant Positive and Unlabeled Data
- Ignition Phase : Standard Training for Fast Adversarial Robustness
- Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials
- AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science
- A Comprehensive Survey on the Risks and Limitations of Concept-based Models
- eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems
- Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
- Conversational Exploration of Literature Landscape with LitChat
- WhisperD: Dementia Speech Recognition and Filler Word Detection with Whisper
- Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation
- Fluent but Foreign: Even Regional LLMs Lack Cultural Alignment
- FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation
- PDFBench: A Benchmark for De novo Protein Design from Function
- Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI
- Foundations of Top-k Decoding For Language Models
- SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition
- Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
- Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement
- GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance
- Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation
- Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions
- FlashMD: long-stride, universal prediction of molecular dynamics
- PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation
- PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims
- ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference
- Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales
- Evaluating Steering Techniques using Human Similarity Judgments
- BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change
- PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders
- Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy
- Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
- Demand Selection for VRP with Emission Quota
- SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline
- Fractional-Boundary-Regularized Deep Galerkin Method for Variational Inequalities in Mixed Optimal Stopping and Control
- From Single Images to Motion Policies via Video-Generation Environment Representations
- ODIN: A NL2SQL Recommender to Handle Schema Ambiguity
- A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
- Alchemist: Turning Public Text-to-Image Data into Generative Gold
- Towards Reliable Large Audio Language Model
- 100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
- A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models
- Next Token Prediction Is a Dead End for Creativity
- Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation
- Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
- Improving Novel view synthesis of 360^circ Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images
- Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
- Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting
- PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations
- Unveiling Dual Quality in Product Reviews: An NLP-Based Approach
- Learning-Augmented Online Bipartite Fractional Matching
- RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification
- LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models
- Evaluating Text Creativity across Diverse Domains: A Dataset and Large Language Model Evaluator
- RAISE: Realness Assessment for Image Synthesis and Evaluation
- Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf's Law
- Unified Medical Image Tokenizer for Autoregressive Synthesis and Understanding
- DeCoDe: Defer-and-Complement Decision-Making via Decoupled Concept Bottleneck Models
- Advancing Video Self-Supervised Learning via Image Foundation Models
- When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
- MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
- Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation
- SpeakStream: Streaming Text-to-Speech with Interleaved Data
- EnvSDD: Benchmarking Environmental Sound Deepfake Detection
- Curvature Dynamic Black-box Attack: revisiting adversarial robustness via dynamic curvature estimation
- SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
- Misleading through Inconsistency: A Benchmark for Political Inconsistencies Detection
- Chordless Structure: A Pathway to Simple and Expressive GNNs
- PosePilot: An Edge-AI Solution for Posture Correction in Physical Exercises
- Federated Learning: From Theory to Practice
- Saliency-guided Emotion Modeling: Predicting Viewer Reactions from Video Stimuli
- Triangle Splatting for Real-Time Radiance Field Rendering
- Computational Inertia as a Conserved Quantity in Frictionless and Damped Learning Dynamics
- EventEgoHands: Event-based Egocentric 3D Hand Mesh Reconstruction
- Amplifying Human Creativity and Problem Solving with AI Through Generative Collective Intelligence
- OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs
- BroadGen: A Framework for Generating Effective and Efficient Advertiser Broad Match Keyphrase Recommendations
- SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs
- Benchmarking Endoscopic Surgical Image Restoration and Beyond
- A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation
- Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs
- FHGS: Feature-Homogenized Gaussian Splatting
- MIND-Edit: MLLM Insight-Driven Editing via Language-Vision Projection
- DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing
- Do Large Language Models (Really) Need Statistical Foundations?
- DPASyn: Mechanism-Aware Drug Synergy Prediction via Dual Attention and Precision-Aware Quantization
- The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework
- Veta-GS: View-dependent deformable 3D Gaussian Splatting for thermal infrared Novel-view Synthesis
- Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
- Fast and Accurate Power Load Data Completion via Regularization-optimized Low-Rank Factorization
- RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models
- Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models
- Freqformer: Image-Demoir'eing Transformer via Effective Frequency Decomposition
- CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning
- Controlling Language Confusion in Multilingual LLMs
- FP4 All the Way: Fully Quantized Training of LLMs
- An Interpretable Representation Learning Approach for Diffusion Tensor Imaging
- Optimization-Inspired Few-Shot Adaptation for Large Language Models
- WHISTRESS: Enriching Transcriptions with Sentence Stress Detection
- Statistical inference for Linear Stochastic Approximation with Markovian Noise
- Towards Robust Influence Functions with Flat Validation Minima
- Enable Lightweight and Precision-Scalable Posit/IEEE-754 Arithmetic in RISC-V Cores for Transprecision Computing
- A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
- CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
- Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
- MaskedManipulator: Versatile Whole-Body Manipulation
- Jodi: Unification of Visual Generation and Understanding via Joint Modeling
- New Expansion Rate Anomalies at Characteristic Redshifts Geometrically Determined using DESI-DR2 BAO and DES-SN5YR Observations
- Towards Generalized Proactive Defense against Face Swapping with Contour-Hybrid Watermark
- Towards Harmonized Uncertainty Estimation for Large Language Models
- Recalibrating binary probabilistic classifiers
- MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database
- Hierarchical Adversarial Bandits for Online Configuration Optimization
- UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
- An Initial Exploration of Fine-tuning Small Language Models for Smart Contract Reentrancy Vulnerability Detection
- Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders
- RANDPOL: Parameter-Efficient End-to-End Quadruped Locomotion via Randomized Policy Learning
- Efficient Data Selection at Scale via Influence Distillation
- Disentangled Human Body Representation Based on Unsupervised Semantic-Aware Learning
- Bayesian sparse modeling for interpretable prediction of hydroxide ion conductivity in anion-conductive polymer membranes
- Offline Clustering of Linear Bandits: The Power of Clusters under Limited Data
- Smart Waste Management System for Makkah City using Artificial Intelligence and Internet of Things
- Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias
- Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
- Weak Physics Informed Neural Networks for Geometry Compatible Hyperbolic Conservation Laws on Manifolds
- Optimal Conformal Prediction under Epistemic Uncertainty
- RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data
- SQUiD: Synthesizing Relational Databases from Unstructured Text
- Learn Beneficial Noise as Graph Augmentation
- A Smart Healthcare System for Monkeypox Skin Lesion Detection and Tracking
- Rethinking Metrics and Benchmarks of Video Anomaly Detection
- HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
- Querying Kernel Methods Suffices for Reconstructing their Training Data
- CrosGrpsABS: Cross-Attention over Syntactic and Semantic Graphs for Aspect-Based Sentiment Analysis in a Low-Resource Language
- Tokenizing Electron Cloud in Protein-Ligand Interaction Learning
- Faithful Group Shapley Value
- Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection
- Aligning LLM with human travel choices: a persona-based embedding learning approach
- Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs
- FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)
- VPGS-SLAM: Voxel-based Progressive 3D Gaussian SLAM in Large-Scale Scenes
- Fast Kernel-Space Diffusion for Remote Sensing Pansharpening
- SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver Tumours
- NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results
- VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion
- AmorLIP: Efficient Language-Image Pretraining via Amortization
- FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
- GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
- Revival with Voice: Multi-modal Controllable Text-to-Speech Synthesis
- Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE
- Learning to Explain: Prototype-Based Surrogate Models for LLM Classification
- Protein Design with Dynamic Protein Vocabulary
- CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation
- How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation
- Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk?
- BnMMLU: Measuring Massive Multitask Language Understanding in Bengali
- The Price of Format: Diversity Collapse in LLMs
- Language Models Should be Used to Surface the Unwritten Code of Science and Society
- Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
- REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing
- Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency
- Can Large Language Models Infer Causal Relationships from Real-World Text?
- WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification
- Meta-aware Learning in text-to-SQL Large Language Model
- Moderating Harm: Benchmarking Large Language Models for Cyberbullying Detection in YouTube Comments
- Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time
- Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation
- LLM-Guided Taxonomy and Hierarchical Uncertainty for 3D Point Cloud Active Learning
- Graph-Based Operator Learning from Limited Data on Irregular Domains
- ALPCAHUS: Subspace Clustering for Heteroscedastic Data
- SCRum-9: Multilingual Stance Classification over Rumours on Social Media
- Robust Stability Analysis of Positive Lure System with Neural Network Feedback
- On the Role of Label Noise in the Feature Learning Process