Papers
Fri 15 Aug 2025
255 papers
- TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory FrameworkLLM agents and tool use → Agent memory systems
- From Clicks to Preference: A Multi-stage Alignment Framework for Generative Query Suggestion in Conversational SystemLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Hard Examples Are All You Need: Maximizing GRPO Post-Training Under Annotation BudgetsLLM reasoning → Reinforcement learning for reasoning
- Finite Automata Extraction: Low-data World Model Learning as Programs from Gameplay VideoWorld models → Video-generation world models and simulators
- Every 28 Days the AI Dreams of Soft Skin and Burning Stars: Scaffolding AI Agents with Hormones and EmotionsLLM agents and tool use → Social simulation and multi-agent debate
- Rethinking Autonomy: Preventing Failures in AI-Driven Software EngineeringLLM reasoning → Reasoning for agents, planning and code +1
- Audio Flamingo Sound-CoT Technical Report: Improving Chain-of-Thought Reasoning in Sound UnderstandingLLM reasoning → Audio-language model reasoning +1
- Labels or Input? Rethinking Augmentation in Multimodal Hate DetectionLLM reasoning → Reasoning benchmarks and evaluation
- VideoAVE: A Multi-Attribute Video-to-Text Attribute Value Extraction Dataset and Benchmark ModelsMixture-of-experts → Vision mixture-of-experts
- Uncalibrated Reasoning: GRPO Induces Overconfidence for Stochastic OutcomesLLM reasoning → Reinforcement learning for reasoning
- Behavioral and Symbolic Fillers as Delay Mitigation for Embodied Conversational Agents in Virtual RealityLLM agents and tool use → Social simulation and multi-agent debate
- Limitation Learning: Catching Adverse Dialog with GAILOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Can we Evaluate RAGs with Synthetic Data?Synthetic data and self-improvement for LLMs → LLM synthetic data generation
- Ovis2.5 Technical ReportLLM reasoning → Multimodal reasoning
- SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Thyme: Think Beyond ImagesLLM reasoning → Multimodal reasoning
- LoRAtorio: An intrinsic approach to LoRA Skill CompositionDiffusion models → Image generation, text-to-image and editing
- Controlling Multimodal LLMs via Reward-guided DecodingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- SeamlessFlow: A Trainer Agent Isolation RL Framework Achieving Bubble-Free Pipelines via Tag SchedulingDeep reinforcement learning methods → RL training of language and agent models
- Training-Free Anomaly Generation via Dual-Attention Enhancement in Diffusion ModelDiffusion models → Flow matching, time series and science
- Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and TrendsLLM safety and security → Watermarking generated content and models
- Reinforcing Video Reasoning Segmentation to Think Before It SegmentsLLM reasoning → Multimodal reasoning
- Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time SeriesDiffusion models → Flow matching, time series and science
- Semi-Supervised Learning with Online Knowledge Distillation for Skin Lesion ClassificationKnowledge distillation → Distillation for medical imaging
- Sim2Dust: Mastering Dynamic Waypoint Tracking on Granular MediaDeep reinforcement learning methods → RL for robot navigation and UAV control
- Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion ModelsDiffusion models → Video generation
- SPG: Style-Prompting Guidance for Style-Specific Content CreationDiffusion models → Image generation, text-to-image and editing
- EvoPSF: Online Evolution of Autonomous Driving Models via Planning-State FeedbackEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Inclusion Arena: An Open Platform for Evaluating Large Foundation Models with Real-World AppsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image GenerationLLM reasoning → Multimodal reasoning +1
- ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
- Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic EnvironmentsLLM agents and tool use → Agent threats, guardrails and governance
- AIM-Bench: Evaluating Decision-making Biases of Agentic LLM as Inventory ManagerLLM reasoning → Reasoning for agents, planning and code +1
- Survey-to-Behavior: Downstream Alignment of Human Values in LLMs via Survey QuestionsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic WeightingDeep reinforcement learning methods → RL training of language and agent models
- FACET: Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational WorksheetsLLM agents and tool use → Educational agents and math problem solving
- Trustworthy AI Psychotherapy: Multi-Agent LLM Workflow for Counseling and Explainable Mental Disorder DiagnosisLLM agents and tool use → Medical and scientific domain agents
- Retrieval-augmented reasoning with lean language modelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Unified Knowledge Distillation Framework: Fine-Grained Alignment and Geometric Relationship Preservation for Deep Face RecognitionKnowledge distillation → General knowledge distillation methods
- Fusing Rewards and Preferences in Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- HOID-R1: Reinforcement Learning for Open-World Human-Object Interaction Detection Reasoning with Multimodal Large Language ModelLLM reasoning → Multimodal reasoning +1
- Noise Matters: Optimizing Matching Noise for Diffusion ClassifiersMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MoE-TTS: Enhancing Out-of-Domain Text Understanding for Description-based TTS via Mixture-of-ExpertsMixture-of-experts → MoE large language models
- Logic Unseen: Revealing the Logical Blindspots of Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation SteeringLLM safety and security → Safety alignment, refusal and guardrails +1
- LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-ThoughtLLM reasoning → Spatial and embodied reasoning
- Probing the Representational Power of Sparse Autoencoders in Vision ModelsDiffusion models → Image generation, text-to-image and editing +1
- Enhancing Supervised Composed Image Retrieval via Reasoning-Augmented Representation EngineeringLLM reasoning → Multimodal reasoning +1
- Vision-Language Models display a strong gender biasMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- UNVEILING: What Makes Linguistics Olympiad Puzzles Tricky for LLMs?LLM reasoning → Reasoning benchmarks and evaluation
- FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait AnimationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for InformationLLM reasoning → Mathematical reasoning
- Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- RAG for Geoscience: What We Expect, Gaps and OpportunitiesRetrieval-augmented generation → RAG pipeline design and evaluation
- ORFuzz: Fuzzing the "Other Side" of LLM Safety -- Testing Over-RefusalLLM safety and security → Safety alignment, refusal and guardrails
- A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural NetworkKnowledge distillation → Detection and dense prediction distillation
- Efficient Image-to-Image Schr"odinger Bridge for CT Field of View ExtensionDiffusion models → Medical imaging and segmentation
- Multi-Group Equivariant Augmentation for Reinforcement Learning in Robot ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Visuomotor Grasping with World Models for Surgical RobotsWorld models → Medical and surgical world models
- UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Fine-Grained VLM Fine-tuning via Latent Hierarchical Adapter LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Better Supervised Fine-tuning for VQA: Integer-Only LossMultimodal LLMs / vision-language models → Image editing and quality assessment
- Semi-supervised Image Dehazing via Expectation-Maximization and Bidirectional Brownian Bridge Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Role-Augmented Intent-Driven Generative Search Engine OptimizationRetrieval-augmented generation → RAG pipeline design and evaluation
- AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio ConstructionsLLM agents and tool use → Financial trading and forecasting agents
- Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse RewardDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Residual-based Efficient Bidirectional Diffusion Model for Image Dehazing and Haze GenerationDiffusion models → Inverse problems and image restoration
- MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of DocumentsLLM reasoning → Knowledge- and tool-augmented reasoning
- AI Agentic Programming: A Survey of Techniques, Challenges, and OpportunitiesLLM agents and tool use → Software engineering coding agents
- The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results
- Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs
- CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
- Optimized Renewable Energy Planning MDP for Socially-Equitable Electricity Coverage in the US
- Emotional Manipulation by AI Companions
- Technology-assisted Personalized Yoga for Better Health -- Challenges and Outlook
- Adaptive Variance-Penalized Continual Learning with Fisher Regularization
- Recurrent Transformer U-Net Surrogate for Flow Modeling and Data Assimilation in Subsurface Formations with Faults
- The Impact of Artificial Intelligence on Human Thought
- Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models
- Scalable FPGA Framework for Real-Time Denoising in High-Throughput Imaging: A DRAM-Optimized Pipeline using High-Level Synthesis
- Transsion Multilingual Speech Recognition System for MLC-SLM 2025 Challenge
- Non-Dissipative Graph Propagation for Non-Local Community Detection
- The Rise of Generative AI for Metal-Organic Framework Design and Synthesis
- Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
- Benchmarking GPT-5 for Zero-Shot Multimodal Medical Reasoning in Radiology and Radiation Oncology
- Preference Models assume Proportional Hazards of Utilities
- AVEX: What Matters for Animal Vocalization Encoding
- Recent Advances in Transformer and Large Language Models for UAV Applications
- When Does Language Transfer Help? Sequential Fine-Tuning for Cross-Lingual Euphemism Detection
- A Survey of Idiom Datasets for Psycholinguistic and Computational Research
- From Pixels to Graphs: Deep Graph-Level Anomaly Detection on Dermoscopic Images
- Towards Understanding 3D Vision: the Role of Gaussian Curvature
- Hallucination Detection and Mitigation in Scientific Text Simplification using Ensemble Approaches: DS@GT at CLEF 2025 SimpleText
- LLM-Guided Planning and Summary-Based Scientific Text Simplification: DS@GT at CLEF 2025 SimpleText
- FairTabGen: High-Fidelity and Fair Synthetic Health Data Generation from Limited Samples
- An MLP Baseline for Handwriting Recognition Using Planar Curvature and Gradient Orientation
All 255
- Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data
- Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Models
- Multivariate Planar Curves: A Statistical Framework for Shape Analysis in Images
- A Multi-Task Evaluation of LLMs' Processing of Academic Text Input
- Investigating Transcription Normalization in the Faetar ASR Benchmark
- Using Natural Language for Human-Robot Collaboration in the Real World
- BaMANI: Bayesian Multi-Algorithm causal Network Inference
- Scalable Geospatial Data Generation Using AlphaEarth Foundations Model
- Artificial Intelligence in Rural Healthcare Delivery: Bridging Gaps and Enhancing Equity through Innovation
- BRIEF: BRain-Inspired network connection search with Extensive temporal feature Fusion enhances disease classification
- The Stories We Govern By: AI, Risk, and the Power of Imaginaries
- UniDCF: A Foundation Model for Comprehensive Dentocraniofacial Hard Tissue Reconstruction
- Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks
- BeeNet: Reconstructing Flower Shapes from Electric Fields using Deep Learning
- From Heuristics to Data: Quantifying Site Planning Layout Indicators with Deep Learning and Multi-Modal Data
- FusionFM: Fusing Eye-specific Foundational Models for Optimized Ophthalmic Diagnosis
- Is ChatGPT-5 Ready for Mammogram VQA?
- Optimal CO2 storage management considering safety constraints in multi-stakeholder multi-site CCS projects: a Markov game perspective
- Pretrained Conformers for Audio Fingerprinting and Retrieval
- TinyTim: A Family of Language Models for Divergent Generation
- Dataset Creation for Visual Entailment using Generative AI
- CoreEditor: Correspondence-constrained Diffusion for Consistent 3D Editing
- CryptoScope: Utilizing Large Language Models for Automated Cryptographic Logic Vulnerability Detection
- Representing Speech Through Autoregressive Prediction of Cochlear Tokens
- Nonparametric learning of stochastic differential equations from sparse and noisy data
- DashCam Video: A complementary low-cost data stream for on-demand forest-infrastructure system monitoring
- Investigating Sensors and Methods in Grasp State Classification in Agricultural Manipulation
- Visual Perception Engine: Fast and Flexible Multi-Head Inference for Robotic Vision Tasks
- Causality Matters: How Temporal Information Emerges in Video Language Models
- TrajSV: A Trajectory-based Model for Sports Video Representations and Applications
- AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment
- Emphasis Sensitivity in Speech Representations
- ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization
- Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
- Language models align with brain regions that represent concepts across modalities
- Speciesism in AI: Evaluating Discrimination Against Animals in Large Language Models
- An Efficient Medical Image Classification Method Based on a Lightweight Improved ConvNeXt-Tiny Architecture
- Multi-State Tracker: Enhancing Efficient Object Tracking via Multi-State Specialization and Interaction
- DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning
- A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow
- Inspire or Predict? Exploring New Paradigms in Assisting Classical Planners with Large Language Models
- Finite-Width Neural Tangent Kernels from Feynman Diagrams
- A Real-time Concrete Crack Detection and Segmentation Model Based on YOLOv11
- Weighted First Order Model Counting for Two-variable Logic with Axioms on Two Relations
- DiCriTest: Testing Scenario Generation for Decision-Making Agents Considering Diversity and Criticality
- Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies
- Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection
- AIM: Amending Inherent Interpretability via Self-Supervised Masking
- Handwritten Text Recognition of Historical Manuscripts Using Transformer-Based Models
- Hierarchical Graph Feature Enhancement with Adaptive Frequency Modulation for Visual Recognition
- Landmark-Assisted Monte Carlo Planning
- Relative Position Matters: Trajectory Prediction and Planning with Polar Representation
- Automated Building Heritage Assessment Using Street-Level Imagery
- OpenConstruction: A Systematic Synthesis of Open Visual Datasets for Data-Centric Artificial Intelligence in Construction Monitoring
- TACR-YOLO: A Real-time Detection Framework for Abnormal Human Behaviors Enhanced with Coordinate and Task-Aware Representations
- RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning
- CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation
- Data-Driven Deepfake Image Detection Method -- The 2024 Global Deepfake Image Detection Challenge
- Calibrated and uncertain? Evaluating uncertainty estimates in binary classification models
- Reference Points in LLM Sentiment Analysis: The Role of Structured Context
- Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer
- Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation
- CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity
- Informative Post-Hoc Explanations Only Exist for Simple Functions
- Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
- Online Anti-sexist Speech: Identifying Resistance to Gender Bias in Political Discourse
- Robust Convolution Neural ODEs via Contractivity-promoting regularization
- Remove360: Benchmarking Residuals After Object Removal in 3D Gaussian Splatting
- HumorPlanSearch: Structured Planning and HuCoT for Contextual AI Humor
- Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space
- Training-free Dimensionality Reduction via Feature Truncation: Enhancing Efficiency in Privacy-preserving Multi-Biometric Systems
- SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models
- RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator
- Open, Reproducible and Trustworthy Robot-Based Experiments with Virtual Labs and Digital-Twin-Based Execution Tracing
- An Exploratory Study on Crack Detection in Concrete through Human-Robot Collaboration
- Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
- LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution
- A Remedy for Over-Squashing in Graph Learning via Forman-Ricci Curvature based Graph-to-Hypergraph Structural Lifting
- Model Interpretability and Rationale Extraction by Input Mask Optimization
- When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
- G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration
- AnatoMaskGAN: GNN-Driven Slice Feature Fusion and Noise Augmentation for Medical Semantic Image Synthesis
- Does the Skeleton-Recall Loss Really Work?
- Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization
- Feedback Indicators: The Alignment between Llama and a Teacher in Language Learning
- CRAFT-GUI: Curriculum-Reinforced Agent For GUI Tasks
- PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding
- ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism
- FunduSegmenter: Leveraging the RETFound Foundation Model for Joint Optic Disc and Optic Cup Segmentation in Retinal Fundus Images
- Harmonized Gradient Descent for Class Imbalanced Data Stream Online Learning
- A Global Dataset of Location Data Integrity-Assessed Reforestation Efforts
- NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models
- SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
- Conformal Prediction Meets Long-tail Classification
- SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis
- Semantically Guided Adversarial Testing of Vision Models Using Language Models
- Cost-Effective Active Labeling for Data-Efficient Cervical Cell Classification
- Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
- RegimeNAS: Regime-Aware Differentiable Architecture Search With Theoretical Guarantees for Financial Trading
- GANDiff FR: Hybrid GAN Diffusion Synthesis for Causal Bias Attribution in Face Recognition
- Guiding WaveMamba with Frequency Maps for Image Debanding
- Aligning the Spectrum: Hybrid Graph Pre-training and Prompt Tuning across Homophily and Heterophily
- Delving into Dynamic Scene Cue-Consistency for Robust 3D Multi-Object Tracking
- LLM Compression: How Far Can We Go in Balancing Size and Performance?
- Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval
- Repetitive TMS-based Identification of Methamphetamine-Dependent Individuals Using EEG Spectra
- SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems
- Approximating the universal thermal climate index using sparse regression with orthogonal polynomials
- Hyperspectral vs. RGB for Pedestrian Segmentation in Urban Driving Scenes: A Comparative Study
- Allen: Rethinking MAS Design through Step-Level Policy Autonomy
- Dynamic Quality-Latency Aware Routing for LLM Inference in Wireless Edge-Device Networks
- CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
- Scene Graph-Guided Proactive Replanning for Failure-Resilient Embodied Agent
- AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries
- TimeMachine: Fine-Grained Facial Age Editing with Identity Preservation
- Unifying Scale-Aware Depth Prediction and Perceptual Priors for Monocular Endoscope Pose Estimation and Tissue Reconstruction
- ToxiFrench: Benchmarking and Enhancing Language Models via CoT Fine-Tuning for French Toxicity Detection
- Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble
- Is General-Purpose AI Reasoning Sensitive to Data-Induced Cognitive Biases? Dynamic Benchmarking on Typical Software Engineering Dilemmas
- Uniform convergence for Gaussian kernel ridge regression
- Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds
- Temporally-Similar Structure-Aware Spatiotemporal Fusion of Satellite Images
- Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing
- Hallucination in LLM-Based Code Generation: An Automotive Case Study
- Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception
- Graph Neural Diffusion via Generalized Opinion Dynamics
- Enhancing Interactive Voting-Based Map Matching: Improving Efficiency and Robustness for Heterogeneous GPS Trajectories
- Benchmarking Prosody Encoding in Discrete Speech Tokens
- Coupled Reconstruction of 2D Blood Flow and Vessel Geometry from Noisy Images via Physics-Informed Neural Networks and Quasi-Conformal Mapping
- Air Quality PM2.5 Index Prediction Model Based on CNN-LSTM
- How Causal Abstraction Underpins Computational Explanation
- Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
- Meta-learning Structure-Preserving Dynamics
- StyleMM: Stylized 3D Morphable Face Model via Text-Driven Aligned Image Translation
- E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
- Generating Dialogues from Egocentric Instructional Videos for Task Assistance: Dataset, Method and Benchmark
- Quantum-Boosted High-Fidelity Deep Learning
- Novel Parasitic Dual-Scale Modeling for Efficient and Accurate Multilingual Speech Translation
- Expressive Speech Retrieval using Natural Language Descriptions of Speaking Style
- CHARM3R: Towards Unseen Camera Height Robust Monocular 3D Detector
- Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction
- Versatile Video Representation via Feed-Forward 2D Gaussian Splatting Tokenization
- On Strong and Weak Admissibility in Non-Flat Assumption-Based Argumentation
- HistoViT: Vision Transformer for Accurate and Scalable Histopathological Cancer Diagnosis
- No Data Wasted: A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels
- The Role of Entanglement in Quantum Reservoir Computing with Coupled Kerr Nonlinear Oscillators
- Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery
- VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection
- Overcoming Low-Resource Barriers in Tulu: Neural Models and Corpus Creation for OffensiveLanguage Identification
- MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering
- Mitigating Modality Quantity and Quality Imbalance in Multimodal Online Federated Learning
- LEARN: A Story-Driven Layout-to-Image Generation Framework for STEM Instruction
- Towards the Next-generation Bayesian Network Classifiers
- CTRL Your Shift: Clustered Transfer Residual Learning for Many Small Datasets
- A Cross-Modal Rumor Detection Scheme via Contrastive Learning by Exploring Text and Image internal Correlations