Papers
Thu 13 Mar 2025
397 papers
- FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- RPO: Fine-Tuning Visual Generative Models via Rich Vision-Language PreferencesDiffusion models → Diffusion and flow policies for robotics +1
- OuroMamba: A Data-Free Quantization Framework for Vision MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM HallucinationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- OASST-ETC Dataset: Alignment Signals from Eye-tracking Analysis of LLM ResponsesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Learning to Inference Adaptively for Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSMState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Taxonomic Reasoning for Rare Arthropods: Combining Dense Image Captioning and RAG for Interpretable ClassificationRetrieval-augmented generation → Multimodal RAG
- Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language DataLLM reasoning → Time series reasoning
- Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD SummarizationLLM agents and tool use → Software engineering coding agents
- Mamba time series forecasting with uncertainty quantificationState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- Towards Understanding Graphical Perception in Large Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Thinking Machines: A Survey of LLM based Reasoning StrategiesLLM reasoning → Reasoning benchmarks and evaluation
- MIP against Agent: Malicious Image Patches Hijacking Multimodal OS AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Fixed-Point RNNs: Interpolating from Diagonal to DenseState-space sequence models (S4, Mamba) → Core SSM architectures for language
- The Power of One: A Single Example is All it Takes for Segmentation in VLMsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video ProcessingMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Samoyeds: Accelerating MoE Models with Structured Sparsity Leveraging Sparse Tensor CoresMixture-of-experts → MoE large language models
- RankPO: Preference Optimization for Job-Talent MatchingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMsEfficient LLM inference and serving → KV cache optimization
- GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and EditingLLM reasoning → Multimodal reasoning +1
- Studying Classifier(-Free) Guidance From a Classifier-Centric PerspectiveDiffusion models → Diffusion foundations and sampling
- Distilling Diversity and Control in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based GenerationDiffusion models → Flow matching, time series and science
- A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1Multimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- V2Edit: Versatile Video Diffusion Editor for Videos and 3D ScenesDiffusion models → Video generation
- HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action ModelVision-language-action models → Efficient VLA inference and adaptation
- SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific ProblemsLLM reasoning → Multimodal reasoning +1
- NIL: No-data Imitation Learning by Leveraging Pre-trained Video Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario UnderstandingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree SearchLLM safety and security → Jailbreaking
- DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image GenerationDiffusion models → Image generation, text-to-image and editing
- R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal FormalizationLLM reasoning → Multimodal reasoning
- CoSTAast: Cost-Sensitive Toolpath Agent for Multi-turn Image EditingDiffusion models → Image generation, text-to-image and editing +1
- MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene ReconstructionWorld models → World models for autonomous driving +1
- TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-InterventionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion ModelsDiffusion models → Video generation
- Long Context Tuning for Video GenerationDiffusion models → Video generation
- Unlock the Power of Unlabeled Data in Language Driving ModelEnd-to-end autonomous driving → VLMs for autonomous driving
- VisualWebInstruct: Scaling up Multimodal Instruction Data through Web SearchMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Evaluating Mathematical Reasoning Across Large Language Models: A Fine-Grained ApproachLLM reasoning → Mathematical reasoning
- Autoregressive Image Generation with Randomized Parallel DecodingEfficient LLM inference and serving → Fast autoregressive visual generation
- ASIDE: Architectural Separation of Instructions and Data in Language ModelsLLM safety and security → Prompt injection and agent security
- Controllable Adversarial Makeup for Privacy via Text-Guided DiffusionDiffusion models → Robustness, privacy and adversarial aspects
- KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model EvaluationLLM reasoning → Reasoning benchmarks and evaluation
- World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task PlanningWorld models → World models for navigation +2
- Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and BeyondLLM reasoning → Reasoning benchmarks and evaluation +1
- 4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Learning Personalized Driving Styles via Reinforcement Learning from Human FeedbackEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- VisTW: Benchmarking Vision-Language Models for Traditional Chinese in TaiwanMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Category Prompt Mamba Network for Nuclei Segmentation and ClassificationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data AnalysisMixture-of-experts → Federated mixture-of-experts
- Out-of-Context Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-EncodersDiffusion models → 3D, point cloud and scene generation
- RoMA: Scaling up Mamba-based Foundation Models for Remote SensingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- CINEMA: Coherent Multi-Subject Video Generation via MLLM-Based GuidanceDiffusion models → Video generation
- Probabilistic Forecasting via Autoregressive Flow MatchingDiffusion models → Flow matching, time series and science
- LUMOS: Language-Conditioned Imitation Learning with World ModelsWorld models → Embodied and robot world models +1
- New Trends for Modern Machine Translation with Large Reasoning ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Enhancing Facial Privacy Protection via Weakening Diffusion PurificationDiffusion models → Robustness, privacy and adversarial aspects
- DreamInsert: Zero-Shot Image-to-Video Object Insertion from A Single ImageDiffusion models → Video generation
- KV-Distill: Nearly Lossless Learnable Context Compression for LLMsEfficient LLM inference and serving → Prompt and context compression
- Collaborative Speculative Inference for Efficient LLM Inference ServingEfficient LLM inference and serving → Speculative decoding
- Towards Fast, Memory-based and Data-Efficient Vision-Language PolicyMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- CoDiPhy: A General Framework for Applying Denoising Diffusion Models to the Physical Layer of Wireless Communication SystemsDiffusion models → Diffusion for compression and wireless
- CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
- VisualPRM: An Effective Process Reward Model for Multimodal ReasoningLLM reasoning → Multimodal reasoning +2
- Targeted Data Poisoning for Black-Box Audio Datasets Ownership VerificationLLM safety and security → Backdoor and data poisoning attacks
- SurgRAW: Multi-Agent Workflow with Chain of Thought Reasoning for Robotic Surgical Video AnalysisLLM reasoning → Clinical and biomedical applications +1
- LLM Agents Display Human Biases but Exhibit Distinct Learning PatternsLLM agents and tool use → Social simulation and multi-agent debate
- SCOOP: A Framework for Proactive Collaboration and Social Continual Learning through Natural Language Interaction andCausal ReasoningLLM reasoning → Reasoning for agents, planning and code
- Policy Teaching via Data Poisoning in Learning from Human PreferencesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Unveiling the Invisible: Reasoning Complex Occlusions Amodally with AURALLM reasoning → Spatial and embodied reasoning
- Probability-Flow ODE in Infinite-Dimensional Function SpacesDiffusion models → Diffusion foundations and sampling
- CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and RecognitionDiffusion models → Medical imaging and segmentation
- MouseGPT: A Large-scale Vision-Language Model for Mouse Behavior AnalysisMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM AgentsLLM agents and tool use → Multimodal and embodied agents
- Red Teaming Contemporary AI Models: Insights from Spanish and Basque PerspectivesLLM safety and security → Prompt injection and agent security
- Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- "Well, Keep Thinking": Enhancing LLM Reasoning with Adaptive Injection DecodingLLM reasoning → Prompting and chain-of-thought reasoning
- ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective ReasoningMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Data augmentation using diffusion models to enhance inverse Ising inferenceDiffusion models → Diffusion foundations and sampling
- A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Retrieval-Augmented Generation with Hierarchical KnowledgeRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image GenerationDiffusion models → Image generation, text-to-image and editing
- Hybrid Agents for Image RestorationLLM agents and tool use → Multimodal and embodied agents
- IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-ErrorLLM agents and tool use → Educational agents and math problem solving
- Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal SpaceState-space sequence models (S4, Mamba) → Speech and audio SSMs
All 397
- Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online TextLLM reasoning → Clinical and biomedical applications
- Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward ModelingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention DisruptionDiffusion models → Robustness, privacy and adversarial aspects
- Bayesian Prompt Flow Learning for Zero-Shot Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Information Density Principle for MLLM BenchmarksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Advanced Tool Learning and Selection System (ATLASS): A Closed-Loop Framework Using LLMLLM agents and tool use → Tool learning and function calling
- Provably Secure Covert Messaging Using Image-based Diffusion ProcessesDiffusion models → Robustness, privacy and adversarial aspects
- Compute Optimal Scaling of Skills: Knowledge vs ReasoningLLM reasoning → Test-time compute and efficient thinking
- Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model RepresentationsState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based PolicyLLM agents and tool use → Reinforcement learning for LLM agents
- EscapeCraft: A 3D Room Escape Environment for Benchmarking Complex Multimodal Reasoning AbilityLLM reasoning → Multimodal reasoning +1
- Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate DecompositionDiffusion models → Image generation, text-to-image and editing
- OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problems with Reasoning LLMLLM reasoning → Reasoning for agents, planning and code +1
- Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor ScenesDiffusion models → 3D, point cloud and scene generation
- Style Evolving along Chain-of-Thought for Unknown-Domain Object DetectionLLM reasoning → Multimodal reasoning
- ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist ContentMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based DistillationDiffusion models → Diffusion and flow policies for robotics
- Cosh-DiT: Co-Speech Gesture Video Synthesis via Hybrid Audio-Visual Diffusion TransformersDiffusion models → Audio, speech and music
- VideoMerge: Towards Training-free Long Video GenerationDiffusion models → Video generation
- PluralLLM: Pluralistic Alignment in LLMs via Federated LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Inter-environmental world modeling for continuous and compositional dynamicsWorld models → Embodied and robot world models
- CUBETESTERAI: Automated JUnit Test Generation using the LLaMA Model
- Enhancing Aviation Communication Transcription: Fine-Tuning Distil-Whisper with LoRA
- Accurate, provable and fast polychromatic tomographic reconstruction: A variational inequality approach
- Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans
- Designing Synthetic Discussion Generation Systems: A Case Study for Online Facilitation
- MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance
- It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education
- NeurIPS 2023 LLM Efficiency Fine-tuning Competition
- The Role of Hyperparameters in Predictive Multiplicity
- Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
- CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception
- The Relativity of Causal Knowledge
- Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
- Predicting Stock Movement with BERTweet and Transformers
- Empirical Computation: Prompting versus Programming
- DNA Origami Nanostructures Observed in Transmission Electron Microscopy Images can be Characterized through Convolutional Neural Networks
- Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics
- Gaussian DP for Reporting Differential Privacy Guarantees in Machine Learning
- Phishsense-1B: A Technical Perspective on an AI-Powered Phishing Detection Model
- Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques
- Multi-Domain Biometric Recognition using Body Embeddings
- Predicting Clinical Outcomes with Waveform LSTMs
- Resource Heterogeneity-Aware and Utilization-Enhanced Scheduling for Deep Learning Clusters
- PolyRoof: Precision Roof Polygonization in Urban Residential Building with Graph Neural Networks
- JPEG Compliant Compression for Both Human and Machine, A Report
- Ecological Neural Architecture Search
- H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic
- Memory-Efficient 3D High-Resolution Medical Image Synthesis Using CRF-Guided GANs
- HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
- SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable
- Task-Specific Activation Functions for Neuroevolution using Grammatical Evolution
- Convolutional Rectangular Attention Module
- Evaluating a Novel Neuroevolution and Neural Architecture Search System
- Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
- Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation
- Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes
- Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?
- Lessons from the trenches on evaluating machine-learning systems in materials science
- Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization
- On the Identifiability of Causal Abstractions
- Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size
- Reinforcement Learning and Life Cycle Assessment for a Circular Economy -- Towards Progressive Computer Science
- Byzantine-Resilient Federated Learning via Distributed Optimization
- Data Caricatures: On the Representation of African American Language in Pretraining Corpora
- Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview
- Large-scale Pre-training for Grounded Video Caption Generation
- HeightFormer: Learning Height Prediction in Voxel Features for Roadside Vision Centric 3D Object Detection via Transformer
- Learn then Decide: A Learning Approach for Designing Data Marketplaces
- FlowTok: Flowing Seamlessly Across Text and Image Tokens
- Clothes-Changing Person Re-identification Based On Skeleton Dynamics
- Unifying 2D and 3D Vision-Language Understanding
- Predicting Treatment Response in Body Dysmorphic Disorder with Interpretable Machine Learning
- Subnet-Aware Dynamic Supernet Training for Neural Architecture Search
- Visual Polarization Measurement Using Counterfactual Image Generation
- Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization
- OCPM2: Extending the Process Mining Methodology for Object-Centric Event Data Extraction
- TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection
- Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage
- Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images
- 3D Extended Object Tracking based on Extruded B-Spline Side View Profiles
- Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration
- DarkBench: Benchmarking Dark Patterns in Large Language Models
- Word-level Annotation of GDPR Transparency Compliance in Privacy Policies using Large Language Models
- Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
- Real-time Pollutant Identification through Optical PM Micro-Sensor
- TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics
- From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution
- Long-Video Audio Synthesis with Multi-Agent Collaboration
- Team NYCU at Defactify4: Robust Detection and Source Identification of AI-Generated Images Using CNN and CLIP-Based Models
- Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans
- HiCMamba: Enhancing Hi-C Resolution and Identifying 3D Genome Structures with State Space Modeling
- We Should Chart an Atlas of All the World's Models
- Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?
- UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
- Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology
- Uncertainty in Action: Confidence Elicitation in Embodied Agents
- LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds
- ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness
- Transformers without Normalization
- From TOWER to SPIRE: Adding the Speech Modality to a Translation-Specialist LLM
- Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
- OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
- ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer
- OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
- Technical Approach for the EMI Challenge in the 8th Affective Behavior Analysis in-the-Wild Competition
- GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling
- GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding
- Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
- The Spectral Bias of Shallow Neural Network Learning is Shaped by the Choice of Non-linearity
- On the Injective Norm of Sums of Random Tensors and the Moments of Gaussian Chaoses
- Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection
- Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
- Radar: Fast Long-Context Decoding for Any Transformer
- FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
- VisionLogic: Discovering and Grounding Decision-Relevant Visual Concepts
- From Linear to Spline-Based Classification:Developing and Enhancing SMPA for Noisy Non-Linear Datasets
- DP-GPL: Differentially Private Graph Prompt Learning
- Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
- GBSVR: Granular Ball Support Vector Regression
- Structured Preconditioners in Adaptive Optimization: A Unified Analysis
- The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory
- Lightweight Models for Emotional Analysis in Video
- Evaluating structural uncertainty in accelerated MRI: are voxelwise measures useful surrogates?
- NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval
- Interactive Multimodal Fusion with Temporal Modeling
- AudioX: A Unified Framework for Anything-to-Audio Generation
- CountPath: Automating Fragment Counting in Digital Pathology
- Why the Brain Cannot Be a Digital Computer: History-Dependence and the Computational Limits of Consciousness
- Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set
- Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
- Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification
- From Actions to Words: Towards Abstractive-Textual Policy Summarization in RL
- Hoi2Threat: An Interpretable Threat Detection Method for Human Violence Scenarios Guided by Human-Object Interaction
- Sample Compression for Self Certified Continual Learning
- OmniSTVG: Toward Spatio-Temporal Omni-Object Video Grounding
- Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
- Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents
- Meta-learning characteristics and dynamics of quantum systems
- Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
- Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion
- LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions
- DeclareAligner: A Leap Towards Efficient Optimal Alignments for Declarative Process Model Conformance Checking
- Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists
- Siamese Foundation Models for Crystal Structure Prediction
- Statistical Analysis of Sentence Structures through ASCII, Lexical Alignment and PCA
- Deep Learning based discovery of Integrable Systems
- OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
- SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process
- Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations
- Sentiment Analysis in SemEval: A Review of Sentiment Identification Approaches
- DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
- Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking
- Whisper Speaker Identification: Leveraging Pre-Trained Multilingual Transformers for Robust Speaker Embeddings
- Learning Disease State from Noisy Ordinal Disease Progression Labels
- EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning
- BeamLLM: Vision-Empowered mmWave Beam Prediction with Large Language Models
- Low Complexity Point Tracking of the Myocardium in 2D Echocardiography
- Langevin Monte-Carlo Provably Learns Depth Two Neural Nets at Any Size and Data
- Improving Medical Waste Classification with Hybrid Capsule Networks
- Learning Constraints-Based Adaptive Hypergraph Neural Networks for Solving Vehicle Routing Problems
- RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation
- RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
- Architecture-Aware Minimization (A2M): How to Find Flat Minima in Neural Architecture Search
- HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognition
- Multi-thresholding Good Arm Identification with Bandit Feedback
- Subgroup Performance Analysis in Hidden Stratifications
- A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-based Deep Learning Networks for Facial Palsy Detection
- Large-Small Model Collaboration for Enhancing Edge-Deployed Small Models
- Piece it Together: Part-Based Concepting with IP-Priors
- BioSerenity-E1: a self-supervised EEG model for medical applications
- ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation
- Do I look like a `cat.n.01` to you? A Taxonomy Image Generation Benchmark
- Object detection characteristics in a learning factory environment using YOLOv8
- A Hybrid Architecture with Efficient Fine Tuning for Abstractive Patent Document Summarization
- Safe exploration in reproducing kernel Hilbert spaces
- Mirror Online Conformal Prediction with Intermittent Feedback
- Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences
- Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings
- OSMa-Bench: Evaluating Open Semantic Mapping Under Varying Lighting Conditions
- IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification
- Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning
- An Ensemble-Based Two-Step Framework for Classification of Pap Smear Cell Images
- Capturing Semantic Flow of ML-based Systems
- 6D Object Pose Tracking in Internet Videos for Robotic Manipulation
- Eye on the Target: Eye Tracking Meets Rodent Tracking
- Large-Scale Auto-bidding with Nash Equilibrium Constraints
- Bilingual Dual-Head Deep Model for Parkinson's Disease Detection from Speech
- Wikipedia is Not a Dictionary, Delete! Text Classification as a Proxy for Analysing Wiki Deletion Discussions
- MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusion
- MACS: Multi-source Audio-to-image Generation with Contextual Significance and Semantic Alignment
- VicaSplat: A Single Run is All You Need for 3D Gaussian Splatting and Camera Estimation from Unposed Video Frames
- PyGDA: A Python Library for Graph Domain Adaptation
- HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings
- Robust Learning-Based Sparse Recovery for Device Activity Detection in Grant-Free Random Access Cell-Free Massive MIMO: Enhancing Resilience to Impairments
- Numerically robust Gaussian state estimation with singular observation noise
- Climate land use and other drivers impacts on island ecosystem services: a global review
- Resource efficient data transmission on animals based on machine learning
- EEdit: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing
- An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)
- A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification
- Markerless Tracking-Based Registration for Medical Image Motion Correction
- KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perception
- AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
- ROODI: Reconstructing Occluded Objects with Denoising Inpainters
- PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics
- SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning
- Numerical stability analysis of large language models
- Interpretable Image Classification via Non-parametric Part Prototype Learning
- MinorBench: A hand-built benchmark for content-based risks for children
- Spherical dimension
- ARLED: Leveraging LED-based ARMAN Model for Abstractive Summarization of Persian Long Documents
- Flows on convex polytopes
- R.U.Psycho? Robust Unified Psychometric Testing of Language Models
- Assessing the validity of new paradigmatic complexity measures as criterial features for proficiency in L2 writings in English
- Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models
- Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout
- Adaptive Preference Aggregation
- Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
- Adaptive Inner Speech-Text Alignment for LLM-based Speech Translation
- TARS: Traffic-Aware Radar Scene Flow Estimation
- Deep Learning for Time Series Forecasting: A Survey
- Predicting Chemical Reaction Outcomes Based on Electron Movements Using Machine Learning
- ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
- Robustness Tokens: Towards Adversarial Robustness of Transformers
- Convergence and Connectivity: Dynamics of Multi-Agent Q-Learning in Random Networks
- PRISM: Preference Refinement via Implicit Scene Modeling for 3D Vision-Language Preference-Based Reinforcement Learning
- GS-SDF: LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction
- Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
- Unlocking Generalization Power in LiDAR Point Cloud Registration
- 3D Student Splatting and Scooping
- Multiplicative learning from observation-prediction ratios
- GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping
- Are Convex Optimization Curves Convex?
- Deep Learning-Based Direct Leaf Area Estimation using Two RGBD Datasets for Model Development
- An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer
- Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
- MoEdit: On Learning Quantity Perception for Multi-object Image Editing
- Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
- Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion
- Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
- Geometric Parameter Estimations of Perovskite Solar Cells Based on Optical Simulations
- SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
- A Self-supervised Motion Representation for Portrait Video Generation
- Semantic Synergy: Unlocking Policy Insights and Learning Pathways Through Advanced Skill Mapping
- Enhanced Route Planning with Calibrated Uncertainty Set
- Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs
- Image Quality Assessment: From Human to Machine Preference
- VMBench: A Benchmark for Perception-Aligned Video Motion Generation
- Parallelizing Multi-objective A* Search
- Impact of buckypaper on the mechanical properties and failure modes of composites
- AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI
- SmartWay: Enhanced Waypoint Prediction and Backtracking for Zero-Shot Vision-and-Language Navigation
- PanDx: AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT
- Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
- Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions
- Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes
- DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
- Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
- Dual-domain Modulation Network for Lightweight Image Super-Resolution
- CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learning
- FourierSR: A Fourier Token-based Plugin for Efficient Image Super-Resolution
- Rapid analysis of point-contact Andreev reflection spectra via machine learning with adaptive data augmentation
- V2X-ReaLO: An Open Online Framework and Dataset for Cooperative Perception in Reality
- A Neumann-Neumann Acceleration with Coarse Space for Domain Decomposition of Extreme Learning Machines
- Post-disaster building indoor damage and survivor detection using autonomous path planning and deep learning with unmanned aerial vehicles
- Using Context to Improve Word Segmentation
- DGNN: A Neural PDE Solver Induced by Discontinuous Galerkin Methods
- One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
- Speedy MASt3R
- RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging
- Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case
- Adaptive Moment Estimation Optimization Algorithm Using Projection Gradient for Deep Learning
- Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning
- MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
- TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs
- Label Unbalance in High-frequency Trading
- From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs
- ES-Parkour: Advanced Robot Parkour with Bio-inspired Event Camera and Spiking Neural Network
- Accuracy of Discretely Sampled Stochastic Policies in Continuous-time Reinforcement Learning
- Thermodynamic cost of inference and learning in physical neural networks
- Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning
- Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
- Reference-Free 3D Reconstruction of Brain Dissection Slabs via Learned Atlas Coordinates
- Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification
- Optimizing Fire Safety: Reducing False Alarms Using Advanced Machine Learning Techniques
- Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment
- DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey
- Target-aware Bidirectional Fusion Transformer for Aerial Object Tracking
- UVE: Are MLLMs Unified Evaluators for AI-Generated Videos?
- Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction
- TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness
- PanoGen++: Domain-Adapted Text-Guided Panoramic Environment Generation for Vision-and-Language Navigation
- Emotion Recognition with CLIP and Sequential Learning
- Developing and Evaluating an AI-Assisted Prediction Model for Unplanned Intensive Care Admissions following Elective Neurosurgery using Natural Language Processing within an Electronic Healthcare Record System
- Type Information-Assisted Self-Supervised Knowledge Graph Denoising
- eXpLogic: Explaining Logic Types and Patterns in DiffLogic Networks