Papers
Wed 30 Jul 2025
296 papers
- Deep Reinforcement Learning in Factor InvestmentDeep reinforcement learning methods → Adversarial robustness and RL in finance
- TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM ReasoningLLM reasoning → Clinical and biomedical applications
- Doctor Sun: A Bilingual Multimodal Large Language Model for Biomedical AIMultimodal LLMs / vision-language models → Medical vision-language models
- BigTokDetect: A Clinically-Informed Vision-Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTokMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Open-Source Agentic Hybrid RAG Framework for Scientific Literature ReviewRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Universally Unfiltered and Unseen:Input-Agnostic Multimodal Jailbreaks against Text-to-Image Model SafeguardsLLM safety and security → Vision-language and text-to-image safety
- WINELL: Wikipedia Never-Ending Updating with LLM AgentsLLM agents and tool use → Web, search, and research agents
- Hierarchical Verification of Speculative Beams for Accelerating LLM InferenceEfficient LLM inference and serving → Speculative decoding
- Resource-Efficient Automatic Software Vulnerability Assessment via Knowledge Distillation and Particle Swarm OptimizationKnowledge distillation → Federated, robust and private distillation
- Agentic Privacy-Preserving Machine LearningLLM agents and tool use → Agent threats, guardrails and governance
- Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-TeamingLLM safety and security → Safety alignment, refusal and guardrails
- Strategic Communication and Language Bias in Multi-Agent LLM CoordinationLLM agents and tool use → Social simulation and multi-agent debate
- Git Context Controller: Manage the Context of LLM-based Agents like GitLLM agents and tool use → Agent memory systems
- ISO-Bench: Benchmarking Multimodal Causal Reasoning in Visual-Language Models through Procedural PlansLLM reasoning → Multimodal reasoning +1
- Details Matter for Indoor Open-vocabulary 3D Instance SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQLRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- ChatVis: Large Language Model Agent for Generating Scientific VisualizationsLLM agents and tool use → Multimodal and embodied agents
- AutoIndexer: A Reinforcement Learning-Enhanced Index Advisor Towards Scaling WorkloadsDeep reinforcement learning methods → RL training of language and agent models
- Vocabulary-free Fine-grained Visual Recognition via Enriched Contextually Grounded Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- FairReason: Balancing Reasoning and Social Bias in MLLMsLLM reasoning → Multimodal reasoning +1
- Diffusion model for gradient preconditioning in hyperspectral imaging inverse problemsDiffusion models → Inverse problems and image restoration
- Vision-Language Cross-Attention for Real-Time Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Reference-Guided Diffusion Inpainting For Multimodal Counterfactual GenerationDiffusion models → 3D, point cloud and scene generation
- Goal-Based Vision-Language DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference AccelerationEfficient LLM inference and serving → KV cache quantization
- Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath PredictionDiffusion models → Video generation
- Noise-Coded Illumination for Forensic and Photometric Video AnalysisLLM safety and security → Watermarking generated content and models
- LesionGen: A Concept-Guided Diffusion Model for Dermatology Image SynthesisDiffusion models → Medical imaging and segmentation
- Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual SegmentationLLM reasoning → Audio-language model reasoning
- A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative ModelDeep reinforcement learning methods → Quantum reinforcement learning
- CapRecover: A Cross-Modality Feature Inversion Attack Framework on Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal AgentsLLM agents and tool use → GUI and mobile agents
- DepR: Depth Guided Single-view Scene Reconstruction with Instance-level DiffusionDiffusion models → 3D, point cloud and scene generation
- DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent DiffusionDiffusion models → Robustness, privacy and adversarial aspects +1
- MoCHA: Advanced Vision-Language Reasoning with MoE Connector and Hierarchical Group AttentionLLM reasoning → Multimodal reasoning +1
- The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search ApproachLLM agents and tool use → Software engineering coding agents
- G-Core: A Simple, Scalable and Balanced RLHF TrainerDiffusion models → Diffusion and flow policies for robotics +1
- Bayesian Optimization applied for accelerated Virtual Validation of the Autonomous Driving FunctionEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Teaching the Teacher: The Role of Teacher-Student Smoothness Alignment in Genetic Programming-based Symbolic DistillationKnowledge distillation → General knowledge distillation methods
- MASCA: LLM based-Multi Agents System for Credit AssessmentLLM agents and tool use → Financial trading and forecasting agents
- Next Tokens Denoising for Speech SynthesisDiffusion models → Audio, speech and music
- GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented GenerationDiffusion models → Audio, speech and music
- From Sufficiency to Reflection: Reinforcement-Guided Thinking Quality in Retrieval-Augmented Reasoning for LLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Zero-Shot Image Anomaly Detection Using Generative Foundation ModelsDiffusion models → Flow matching, time series and science
- Safe Deployment of Offline Reinforcement Learning via Input Convex Action CorrectionOffline RL and imitation learning from data → Offline RL algorithms
- Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor SegmentationKnowledge distillation → Distillation for medical imaging
- Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful IllusionsDiffusion models → Robustness, privacy and adversarial aspects
- Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
- VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal ReasoningLLM reasoning → Multimodal reasoning
- MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State MachinesLLM agents and tool use → General LLM agent frameworks and benchmarks
- ShortFT: Diffusion Model Alignment via Shortcut-based Fine-TuningDiffusion models → Diffusion and flow policies for robotics +1
- RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness AssessmentLLM reasoning → Reasoning for agents, planning and code
- Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMsLLM safety and security → Jailbreaking
- ControlMed: Adding Reasoning Control to Medical Language ModelLLM reasoning → Clinical and biomedical applications
- CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health RecordsRetrieval-augmented generation → Medical and biomedical RAG
- LoReUn: Data Itself Implicitly Provides Cues to Improve Machine UnlearningLLM safety and security → Vision-language and text-to-image safety
- LIDAR: Lightweight Adaptive Cue-Aware Fusion Vision Mamba for Multimodal Segmentation of Structural CracksState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Visual Language Models as Zero-Shot Deepfake DetectorsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Towards Simulating Social Influence Dynamics with LLM-based Multi-agentsLLM agents and tool use → Social simulation and multi-agent debate
- Exploiting Diffusion Prior for Task-driven Image RestorationDiffusion models → Inverse problems and image restoration
- What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud GenerationWorld models → World modeling from LiDAR generation +1
- HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed AcceptanceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +2
- On the Definition of IntelligenceLLM reasoning → Reasoning benchmarks and evaluation
- Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow MatchingDiffusion models → Medical imaging and segmentation
- AutoCodeSherpa: Symbolic Explanations in AI Coding AgentsLLM agents and tool use → Software engineering coding agents
- On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain PerturbationsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Improving Generalization Ability of Robotic Imitation Learning by Resolving Causal Confusion in ObservationsOffline RL and imitation learning from data → Robot manipulation imitation learning
- SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability DetectionMixture-of-experts → Expert routing strategies
- GVD: Guiding Video Diffusion Model for Scalable Video DistillationDiffusion models → Video generation
- Magentic-UI: Towards Human-in-the-loop Agentic SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Mitigating Response Delays in Free-Form Conversations with LLM-powered Intelligent Virtual AgentsLLM agents and tool use → Social simulation and multi-agent debate
- DeltaVLM: Interactive Remote Sensing Image Change Analysis via Instruction-guided Difference PerceptionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- An Explainable Emotion Alignment Framework for LLM-Empowered Agent in Metaverse Service EcosystemLLM agents and tool use → Social simulation and multi-agent debate
- PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins
- zERExtractor:An Automated Platform for Enzyme-Catalyzed Reaction Data Extraction from Scientific Literature
- Whisper Smarter, not Harder: Adversarial Attack on Partial Suppression
- Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
- Real-time News Story Identification
- Heartificial Intelligence: Exploring Empathy in Language Models
- Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation
- Diagrams-to-Dynamics (D2D): Exploring Causal Loop Diagram Leverage Points under Uncertainty
- Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
- What is Beneath Misogyny: Misogynous Memes Classification and Explanation
- PILOT-C: Physics-Informed Low-Distortion Optimal Trajectory Compression
- Privileged Contrastive Pretraining for Multimodal Affect Modelling
- TIR-Diffusion: Diffusion-based Thermal Infrared Image Denoising via Latent and Wavelet Domain Optimization
- A Large Language Model Powered Integrated Circuit Footprint Geometry Understanding
- Evaluation of Deep Learning Models for LBBB Classification in ECG Signals
- Low-Communication Resilient Distributed Estimation Algorithm Based on Memory Mechanism
- Cooperative effects in feature importance of individual patterns: application to air pollutants and Alzheimer disease
- Hybrid Hypergraph Networks for Multimodal Sequence Data Classification
- XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
- CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
- SmartDate: AI-Driven Precision Sorting and Quality Control in Date Fruits
- Uni-Mol3: A Multi-Molecular Foundation Model for Advancing Organic Reaction Modeling
- GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries
- Hybrid Quantum Classical Surrogate for Real Time Inverse Finite Element Modeling in Digital Twins
- Scalable Spectrum Availability Prediction using a Markov Chain Framework and ITU-R Propagation Models
All 296
- Quantum Semi-Random Forests for Qubit-Efficient Recommender Systems
- Argumentatively Coherent Judgmental Forecasting
- Neural Multi-View Self-Calibrated Photometric Stereo without Photometric Stereo Cues
- Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials
- User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal
- On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
- FuseTen: A Generative Model for Daily 10 m Land Surface Temperature Estimation from Spatio-Temporal Satellite Observations
- Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery
- X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention
- AI paradigm for solving differential equations: first-principles data generation and scale-dilation operator AI solver
- Observational Multiplicity
- MRpro: open framework for model-based, learned, and quantitative MR imaging
- Evaluating and Improving the Robustness of Speech Command Recognition Models to Noise and Distribution Shifts
- Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity
- FLOSS: Federated Learning with Opt-Out and Straggler Support
- Scalable Generative Modeling of Weighted Graphs
- Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
- SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity
- On the Sustainability of AI Inferences in the Edge
- Moravec's Paradox: Towards an Auditory Turing Test
- Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance
- On LLM-Assisted Generation of Smart Contracts from Business Processes
- Context-aware Rotary Position Embedding
- Exploring In-Context Learning for Frame-Semantic Parsing
- A Foundation Model for Material Fracture Prediction
- Locally Differentially Private Thresholding Bandits
- Math Natural Language Inference: this should be easy!
- Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost
- Linking Actor Behavior to Process Performance Over Time
- Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields
- Recovering Diagnostic Value: Super-Resolution-Aided Echocardiographic Classification in Resource-Constrained Imaging
- Data Readiness for Scientific AI at Scale
- A Smoothing Newton Method for Rank-one Matrix Recovery
- Learning to Prune Branches in Modern Tree-Fruit Orchards
- Investigating the Invertibility of Multimodal Latent Spaces: Limitations of Optimization-Based Methods
- Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead
- Robust and Efficient 3D Gaussian Splatting for Urban Scene Reconstruction
- Planning for Cooler Cities: A Multimodal AI Framework for Predicting and Mitigating Urban Heat Stress through Urban Landscape Transformation
- C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations
- Exploring Dynamic Parameters for Vietnamese Gender-Independent ASR
- FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
- Multi-Hazard Early Warning Systems for Agriculture with Featural-Temporal Explanations
- Scientific Machine Learning with Kolmogorov-Arnold Networks
- Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
- Viser: Imperative, Web-based 3D Visualization in Python
- RecGPT Technical Report
- GeoOutageKG: A Multimodal Geospatiotemporal Knowledge Graph for Multiresolution Power Outage Analysis
- Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics
- Discovering heuristics in a complex SAT solver with large language models
- LCS: An AI-based Low-Complexity Scaler for Power-Efficient Super-Resolution of Game Content
- TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
- Mesh based segmentation for automated margin line generation on incisors receiving crown treatment
- Synchronization of mean-field models on the circle
- Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach
- Repair-R1: Better Test Before Repair
- Decentralized Differentially Private Power Method
- The Incomplete Bridge: How AI Research (Mis)Engages with Psychology
- RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
- Tricks and Plug-ins for Gradient Boosting in Image Classification
- PAF-Net: Phase-Aligned Frequency Decoupling Network for Multi-Process Manufacturing Quality Prediction
- Pulling Back the Curtain on Deep Networks
- Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization
- Bi-Level Optimization for Self-Supervised AI-Generated Face Detection
- Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models
- DBLPLink 2.0 -- An Entity Linker for the DBLP Scholarly Knowledge Graph
- Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings
- Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models
- Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
- Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey
- Amorphous Solid Model of Vectorial Hopfield Neural Networks
- Density Operator Expectation Maximization
- Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies
- HOLA: Enhancing Audio-visual Deepfake Detection via Hierarchical Contextual Aggregations and Efficient Pre-training
- Label-free estimation of clinically relevant performance metrics under distribution shifts
- ASP-FZN: A Translation-based Constraint Answer Set Solver
- Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection
- Bayesian Optimization of Process Parameters of a Sensor-Based Sorting System using Gaussian Processes as Surrogate Models
- Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
- Opportunities and Challenges of LLMs in Education: An NLP Perspective
- CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset
- Reducing Hallucinations in Summarization via Reinforcement Learning with Entity Hallucination Index
- Social-Pose: Enhancing Trajectory Prediction with Human Body Pose
- A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
- Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning
- Investigating Hallucination in Conversations for Low Resource Languages
- OFCnetLLM: Large Language Model for Network Monitoring and Alertness
- Enhanced Prediction of CAR T-Cell Cytotoxicity with Quantum-Kernel Methods
- Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints
- A Dual-Feature Extractor Framework for Accurate Back Depth and Spine Morphology Estimation from Monocular RGB Images
- An Architecture for Spatial Networking
- Hydra-Bench: A Benchmark for Multi-Modal Leaf Wetness Sensing
- Listening to the Unspoken: Exploring "365" Aspects of Multimodal Interview Performance Assessment
- MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model
- Designing for Self-Regulation in Informal Programming Learning: Insights from a Storytelling-Centric Approach
- Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation
- Cluster-Based Random Forest Visualization and Interpretation
- RobEthiChor: Automated Context-aware Ethics-based Negotiation for Autonomous Robots
- A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
- SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification
- Transductive Model Selection under Prior Probability Shift
- trAIce3D: A Prompt-Driven Transformer Based U-Net for Semantic Segmentation of Microglial Cells from Large-Scale 3D Microscopy Images
- H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity
- A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation
- Quantum-assisted Gaussian process regression using random Fourier features
- LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing
- Multilingual Political Views of Large Language Models: Identification and Steering
- Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting
- Adaptive Duration Model for Text Speech Alignment
- Metamorphic Testing of Deep Code Models: A Systematic Literature Review
- Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
- BALSAM: A Platform for Benchmarking Arabic Large Language Models
- Robust Deepfake Detection for Electronic Know Your Customer Systems Using Registered Images
- Deep learning of geometrical cell division rules
- Unveiling the Influence of Amplifying Language-Specific Neurons
- A Mean-Field Theory of Theta-Expectations
- COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP
- Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity
- Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound
- Exploration of Low-Cost but Accurate Radar-Based Human Motion Direction Determination
- Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning
- aLLoyM: A large language model for alloy phase diagram prediction
- VAR: Visual Analysis for Rashomon Set of Machine Learning Models' Performance
- DeepC4: Deep Conditional Census-Constrained Clustering for Large-scale Multitask Spatial Disaggregation of Urban Morphology
- RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
- Thermodynamics-Inspired Computing with Oscillatory Neural Networks for Inverse Matrix Computation
- Pre-trained Models Perform the Best When Token Distributions Follow Zipf's Law
- A Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support
- A surrogate model for topology optimisation of elastic structures via parametric autoencoders
- HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors
- Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks
- FGFP: A Fractional Gaussian Filter and Pruning for Deep Neural Networks Compression
- HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
- Learned Off-aperture Encoding for Wide Field-of-view RGBD Imaging
- Recognizing Actions from Robotic View for Natural Human-Robot Interaction
- SmilesT5: Domain-specific pretraining for molecular language models
- AlphaDent: A dataset for automated tooth pathology detection
- Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach
- DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement
- Nonlinear reconciliation: Error reduction theorems
- Robust Adverse Weather Removal via Spectral-based Spatial Grouping
- LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
- Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data
- Physics-constrained generative machine learning-based high-resolution downscaling of Greenland's surface mass balance and surface temperature
- Towards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework
- Estimating 2D Camera Motion with Hybrid Motion Basis
- SLM-SQL: An Exploration of Small Language Models for Text-to-SQL
- Shallow Features Matter: Hierarchical Memory with Heterogeneous Interaction for Unsupervised Video Object Segmentation
- Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework
- IFEvalCode: Controlled Code Generation
- Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance
- Breaking Obfuscation: Cluster-Aware Graph with LLM-Aided Recovery for Malicious JavaScript Detection
- RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function
- AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini
- Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Unified Tool
- From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras
- RANA: Robust Active Learning for Noisy Network Alignment
- Cross-Border Legal Adaptation of Autonomous Vehicle Design based on Logic and Non-monotonic Reasoning
- Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems
- Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss
- Multimodal Late Fusion Model for Problem-Solving Strategy Classification in a Machine Learning Game
- Efficient Spatial-Temporal Modeling for Real-Time Video Analysis: A Unified Framework for Action Recognition and Object Tracking
- Eyepiece-free pupil-optimized holographic near-eye displays
- Systematic Evaluation of Knowledge Graph Repair with Large Language Models
- UAVScenes: A Multi-Modal Dataset for UAVs
- NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models
- Question Generation for Assessing Early Literacy Reading Comprehension
- Moir'e Zero: An Efficient and High-Performance Neural Architecture for Moir'e Removal
- MINR: Implicit Neural Representations with Masked Image Modelling
- CLuP practically achieves ~ 1.77 positive and ~ 0.33 negative Hopfield model ground state free energy
- Gems: Group Emotion Profiling Through Multimodal Situational Understanding
- PATENTWRITER: A Benchmarking Study for Patent Drafting with LLMs
- Set Invariance with Probability One for Controlled Diffusion: Score-based Approach
- Whole-brain Transferable Representations from Large-Scale fMRI Data Improve Task-Evoked Brain Activity Decoding
- Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks
- Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring
- Traits Run Deep: Enhancing Personality Assessment via Psychology-Guided LLM Representations and Multimodal Apparent Behaviors
- Beyond Accuracy: How AI Metacognitive Sensitivity improves AI-assisted Decision Making
- Object Recognition Datasets and Challenges: A Review
- League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
- FaceGCD: Generalized Face Discovery via Dynamic Prefix Generation
- MSQ: Memory-Efficient Bit Sparsification Quantization
- Robust Filtering and Learning in State-Space Models: Skewness and Heavy Tails Via Asymmetric Laplace Distribution
- UFV-Splatter: Pose-Free Feed-Forward 3D Gaussian Splatting Adapted to Unfavorable Views
- A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks
- Parametrized Multi-Agent Routing via Deep Attention Models
- A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
- A Segmentation Framework for Accurate Diagnosis of Amyloid Positivity without Structural Images
- Hypernetworks for Model-Heterogeneous Personalized Federated Learning
- From Articles to Code: On-Demand Generation of Core Algorithms from Scientific Publications
- Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment
- AdapSCA-PSO: An Adaptive Localization Algorithm with AI-Based Hybrid SCA-PSO for IoT WSNs
- LAMA-Net: A Convergent Network Architecture for Dual-Domain Reconstruction
- Time-Resolved EEG Decoding of Semantic Processing Reveals Altered Neural Dynamics in Depression and Suicidality
- An Asynchronous Decentralised Optimisation Algorithm for Nonconvex Problems
- CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics
- Comparing Cluster-Based Cross-Validation Strategies for Machine Learning Model Evaluation