Papers
Mon 28 Apr 2025
297 papers
- Agentic Reasoning and Tool Integration for LLMs via Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +2
- Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem SolvingSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright ProtectionLLM safety and security → Watermarking generated content and models
- What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept ShiftLLM safety and security → Safety alignment, refusal and guardrails
- Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language ModelsLLM safety and security → Jailbreaking
- Image Interpolation with Score-based Riemannian Metrics of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Generative Diffusion Models for Resource Allocation in Wireless NetworksDiffusion models → Diffusion for compression and wireless
- Investigating task-specific prompts and sparse autoencoders for activation monitoringMechanistic interpretability → SAE features and their applications
- Physics-Informed Diffusion Models for SAR Ship Wake Generation from Text PromptsDiffusion models → Inverse problems and image restoration
- A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction ReportsMultimodal LLMs / vision-language models → Medical vision-language models
- Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation FrameworkLLM reasoning → Reasoning benchmarks and evaluation
- Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual ChainsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Integration Flow ModelsDiffusion models → Flow matching, time series and science
- MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with ToolsLLM agents and tool use → Tool learning and function calling
- Toward Evaluative Thinking: Meta Policy Optimization with Evolving Reward ModelsLLM reasoning → Reinforcement learning for reasoning +1
- Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and DatasetsRetrieval-augmented generation → RAG pipeline design and evaluation
- ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research MethodologiesLLM agents and tool use → Web, search, and research agents
- AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic PapersLLM agents and tool use → Software engineering coding agents
- TreeHop: Efficient Embedding-Level Query RewriterRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- AutoJudge: Judge Decoding Without Manual AnnotationEfficient LLM inference and serving → Speculative decoding
- SpatialReasoner: Towards Explicit and Generalizable 3D Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer InteractionsEnd-to-end autonomous driving → Cooperative and V2X driving
- Knowledge Distillation of Domain-adapted LLMs for Question-Answering in TelecomKnowledge distillation → Knowledge distillation for LLMs
- Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNetsLLM reasoning → Reinforcement learning for reasoning
- Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- SYMI: Efficient Mixture-of-Experts Training via Model and Optimizer State DecouplingMixture-of-experts → Efficient MoE training and inference systems
- Can AI Agents Design and Implement Drug Discovery Pipelines?LLM agents and tool use → Medical and scientific domain agents
- semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified StorageEfficient LLM inference and serving → Serving systems and request scheduling
- CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models FeedbackMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- The Automation Advantage in AI Red TeamingLLM safety and security → Prompt injection and agent security
- NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied TasksLLM reasoning → Spatial and embodied reasoning +1
- LLM-Powered GUI Agents in Phone Automation: Surveying Progress and ProspectsLLM agents and tool use → GUI and mobile agents
- PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant PhenotypingLLM agents and tool use → Web, search, and research agents
- Prompt Injection Attack to Tool Selection in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Moral Reasoning Across Languages: The Critical Role of Low-Resource Languages in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Contrastive Language-Image Learning with Augmented Textual Prompts for 3D/4D FER Using Vision-Language ModelMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Taming the Titans: A Survey of Efficient LLM Inference ServingEfficient LLM inference and serving → Serving systems and request scheduling
- GPA-RAM: Grasp-Pretraining Augmented Robotic Attention Mamba for Spatial Task LearningState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- From LLM Reasoning to Autonomous AI Agents: A Comprehensive ReviewLLM reasoning → Reasoning for agents, planning and code +1
- SAGE: A Generic Framework for LLM Safety EvaluationLLM safety and security → Safety alignment, refusal and guardrails
- Multimodal Conditioned Diffusive Time Series ForecastingDiffusion models → Flow matching, time series and science
- Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate MotionsDiffusion models → Diffusion and flow policies for robotics
- VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-TuningLLM reasoning → Multimodal reasoning +1
- Rulebook: bringing co-routines to reinforcement learning environmentsDeep reinforcement learning methods → Deep RL algorithms and representations
- DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion TransformerDiffusion models → Diffusion and flow policies for robotics
- Heat Diffusion Models -- Interpixel Attention MechanismDiffusion models → Diffusion foundations and sampling
- GVPO: Group Variance Policy Optimization for Large Language Model Post-TrainingLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models TrainingLLM agents and tool use → Medical and scientific domain agents
- DEEMO: De-identity Multimodal Emotion Recognition and ReasoningLLM reasoning → Audio-language model reasoning
- LR-IAD:Mask-Free Industrial Anomaly Detection with Logical ReasoningLLM reasoning → Chain-of-thought reasoning for driving
- Security Steerability is All You NeedLLM safety and security → Prompt injection and agent security
- Boosting LLM Serving through Spatial-Temporal GPU Resource SharingEfficient LLM inference and serving → Serving systems and request scheduling
- SynergyAmodal: Deocclude Anything with Text ControlDiffusion models → 3D, point cloud and scene generation
- Simultaneous Pick and Place Detection by Combining SE(3) Diffusion Models with Differential KinematicsDiffusion models → Diffusion and flow policies for robotics
- Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- Evolution of Cooperation in LLM-Agent Societies: A Preliminary Study Using Different Punishment StrategiesLLM agents and tool use → Social simulation and multi-agent debate
- Improving Reasoning Performance in Large Language Models via Representation EngineeringLLM reasoning → Reasoning benchmarks and evaluation +1
- Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and VideoMechanistic interpretability → Interpreting vision and multimodal models
- R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM InferenceEfficient LLM inference and serving → Early exit and edge inference
- JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution ShiftLLM safety and security → Jailbreaking
- Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- GTSD: Generative Text Steganography Based on Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryLLM agents and tool use → Agent memory systems
- Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural RepresentationsDiffusion models → Medical imaging and segmentation
- NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting
- About the Unreal
- A Path to Loving
- United States Road Accident Prediction using Random Forest Predictor
- A Transformer-Based Approach for Diagnosing Fault Cases in Optical Fiber Amplifiers
- FedAvgen: Metadata for Model Aggregation In Communication Systems
- Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
- Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers
- Smooth Integer Encoding via Integral Balance
- Inverse Modeling of Dielectric Response in Time Domain using Physics-Informed Neural Networks
- Primality Testing via Circulant Matrix Eigenvalue Structure: A Novel Approach Using Cyclotomic Field Theory
- MDD-LLM: Towards Accuracy Large Language Models for Major Depressive Disorder Diagnosis
- Can Language Models Represent the Past without Anachronism?
- Generative Machine Learning for Multivariate Angular Simulation
- Leveraging LLM to Strengthen ML-Based Cross-Site Scripting Detection
- CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
- Can a Large Language Model Assess Urban Design Quality? Evaluating Walkability Metrics Across Expertise Levels
- Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
- Security Bug Report Prediction Within and Across Projects: A Comparative Study of BERT and Random Forest
- Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
- A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
- Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training
- A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning
- FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization
- Dynamic Contextual Attention Network: Transforming Spatial Representations into Adaptive Insights for Endoscopic Polyp Diagnosis
- UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language Interactions
- DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes
- The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting
- mrCAD: Multimodal Refinement of Computer-aided Designs
- Radius-Guided Post-Clustering for Shape-Aware, Scalable Refinement of k-Means Results
- FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting
- Deep Generative Prior for First Order Inverse Optimization
All 297
- Enhancing Systematic Reviews with Large Language Models: Using GPT-4 and Kimi
- Smart Water Security with AI and Blockchain-Enhanced Digital Twins
- A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems
- Optimizing Hard Thresholding for Sparse Model Discovery
- A Platform for Generating Educational Activities to Teach English as a Second Language
- Financial Data Analysis with Robust Federated Logistic Regression
- Temporal Neural Operator for Modeling Time-Dependent Physical Phenomena
- Atmospheric Predictability Beyond 30 Days with Machine Learning
- Improving trajectory continuity in drone-based crowd monitoring using a set of minimal-cost techniques and deep discriminative correlation filters
- FreBIS: Frequency-Based Stratification for Neural Implicit Surface Representations
- Remote Sensing Imagery for Flood Detection: Exploration of Augmentation Strategies
- Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
- Representation Learning on a Random Lattice
- Understanding and supporting how developers prompt for LLM-powered code editing in practice
- Coreset selection for the Sinkhorn divergence and generic smooth divergences
- ProFi-Net: Prototype-based Feature Attention with Curriculum Augmentation for WiFi-based Gesture Recognition
- AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services
- BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
- A Transformer-based Multimodal Fusion Model for Efficient Crowd Counting Using Visual and Wireless Signals
- Causal Identification in Time Series Models
- LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
- A Physically Driven Long Short Term Memory Model for Estimating Snow Water Equivalent over the Continental United States
- Learning Hierarchical Interaction for Accurate Molecular Property Prediction
- Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis
- Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization
- Pediatric Asthma Detection with Googles HeAR Model: An AI-Driven Respiratory Sound Classifier
- Benchmarking Transferability: A Framework for Fair and Robust Evaluation
- OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis
- Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI
- CompleteMe: Reference-based Human Image Completion
- Learning Streaming Video Representation via Multitask Training
- MP-SfM: Monocular Surface Priors for Robust Structure-from-Motion
- Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
- More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV
- LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields
- Better To Ask in English? Evaluating Factual Accuracy of Multilingual LLMs in English and Low-Resource Languages
- Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
- Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
- MINT: Multi-Vector Search Index Tuning
- LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
- Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy
- Towards Automated Scoping of AI for Social Good Projects
- Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage
- Simplified and Secure MCP Gateways for Enterprise AI Integration
- Monitoring digestate application on agricultural crops using Sentinel-2 Satellite imagery
- Mapping of Weed Management Methods in Orchards using Sentinel-2 and PlanetScope Data
- Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions
- Graph Neural Network Prediction of Nonlinear Optical Properties
- Real-Time Imitation of Human Head Motions, Blinks and Emotions by Nao Robot: A Closed-Loop Approach
- Emergence and scaling laws in SGD learning of shallow neural networks
- TD-EVAL: Revisiting Task-Oriented Dialogue Evaluation by Combining Turn-Level Precision with Dialogue-Level Comparisons
- Transfer Learning Under High-Dimensional Network Convolutional Regression Model
- Shopformer: Transformer-Based Framework for Detecting Shoplifting via Human Pose
- How Group Lives Go Well
- Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism
- Approximating neutron-star radii using gravitational-wave only measurements with symbolic regression
- From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification
- Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model
- On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds
- Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based Approach
- Capturing Aerodynamic Characteristics of ATTAS Aircraft with Evolving Intelligent System
- Probabilistic and Causal Satisfiability: Constraining the Model
- Mesh-Learner: Texturing Mesh with Spherical Harmonics
- Enhancing Quality for VVC Compressed Videos with Omniscient Quality Enhancement Model
- Automated decision-making for dynamic task assignment at scale
- Accelerated 3D-3D rigid registration of echocardiographic images obtained from apical window using particle filter
- Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
- Analysis of Asynchronous Federated Learning: Unraveling the Interactions between Gradient Compression, Delay, and Data Heterogeneity
- Attention Mechanism, Max-Affine Partition, and Universal Approximation
- Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning
- GenCLS++: Pushing the Boundaries of Generative Classification in LLMs Through Comprehensive SFT and RL Studies Across Diverse Datasets
- CineVerse: Consistent Keyframe Synthesis for Cinematic Scene Composition
- Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network
- Federated Out-of-Distribution Generalization: A Causal Augmentation View
- Using Fixed and Mobile Eye Tracking to Understand How Visitors View Art in a Museum: A Study at the Bowes Museum, County Durham, UK
- DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
- TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
- Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer
- Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language
- To MT or not to MT: An eye-tracking study on the reception by Dutch readers of different translation and creativity levels
- Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study
- Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration
- SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation
- Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production
- AnimateAnywhere: Rouse the Background in Human Image Animation
- HOIGaze: Gaze Estimation During Hand-Object Interactions in Extended Reality Exploiting Eye-Hand-Head Coordination
- Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning
- Mj"olnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density
- Hierarchical Uncertainty-Aware Graph Neural Network
- Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video
- Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
- Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance
- Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs
- Contextures: The Mechanism of Representation Learning
- Interpretable machine learning-guided design of Fe-based soft magnetic alloys
- Heterophily-informed Message Passing
- Learning Brenier Potentials with Convex Generative Adversarial Neural Networks
- If Concept Bottlenecks are the Question, are Foundation Models the Answer?
- Hybrid Approach Combining Ultrasound and Blood Test Analysis with a Voting Classifier for Accurate Liver Fibrosis and Cirrhosis Assessment
- STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction
- FineQ: Software-Hardware Co-Design for Low-Bit Fine-Grained Mixed-Precision Quantization of LLMs
- EcoWikiRS: Learning Ecological Representation of Satellite Images from Weak Supervision with Species Observations and Wikipedia
- Graph Fourier Transformer with Structure-Frequency Information
- Learning Efficiency Meets Symmetry Breaking
- CoDEx: Combining Domain Expertise for Spatial Generalization in Satellite Image Analysis
- Measuring Train Driver Performance as Key to Approval of Driverless Trains
- LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding
- Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
- RepText: Rendering Visual Text via Replicating
- The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving
- A computer vision method to estimate ventilation rate of Atlantic salmon in sea fish farms
- Pixels2Points: Fusing 2D and 3D Features for Facial Skin Segmentation
- QuickGrasp: Lightweight Antipodal Grasp Planning with Point Clouds
- Model-based controller assisted domain randomization for transient vibration suppression of nonlinear powertrain system with parametric uncertainty
- Open-set Anomaly Segmentation in Complex Scenarios
- SubGrapher: Visual Fingerprinting of Chemical Structures
- Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR
- ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery
- Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification
- Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs
- Generative AI in Education: Student Skills and Lecturer Roles
- Tripartite-GraphRAG via Plugin Ontologies
- Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs
- Neuronal correlations shape the scaling behavior of memory capacity and nonlinear computational capability of reservoir recurrent neural networks
- Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM
- GAN-SLAM: Real-Time GAN Aided Floor Plan Creation Through SLAM
- Intelligent4DSE: Optimizing High-Level Synthesis Design Space Exploration with Graph Neural Networks and Large Language Models
- xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices
- A Comprehensive Part-of-Speech Tagging to Standardize Central-Kurdish Language: A Research Guide for Kurdish Natural Language Processing Tasks
- BARIS: Boundary-Aware Refinement with Environmental Degradation Priors for Robust Underwater Instance Segmentation
- A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
- LODAP: On-Device Incremental Learning Via Lightweight Operations and Data Pruning
- Enhanced Partially Relevant Video Retrieval through Inter- and Intra-Sample Analysis with Coherence Prediction
- Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
- Diffusion Stochastic Learning Over Adaptive Competing Networks
- NSegment : Label-specific Deformations for Remote Sensing Image Segmentation
- QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction
- From Evidence to Belief: A Bayesian Epistemology Approach to Language Models
- AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
- Coreference Resolution for Vietnamese Narrative Texts
- Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation
- Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection
- Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
- WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution
- Mapping the Italian Telegram Ecosystem: Communities, Toxicity, and Hate Speech
- Neural network task specialization via domain constraining
- Arabic Metaphor Sentiment Classification Using Semantic Information
- Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation
- ShowMak3r: Compositional TV Show Reconstruction
- Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning
- SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
- DG-DETR: Toward Domain Generalized Detection Transformer
- Category-Level and Open-Set Object Pose Estimation for Robotics
- Quantifying Memory Utilization with Effective State-Size
- CE-NPBG: Connectivity Enhanced Neural Point-Based Graphics for Novel View Synthesis in Autonomous Driving Scenes
- Detecting Effects of AI-Mediated Communication on Language Complexity and Sentiment
- Crowd Detection Using Very-Fine-Resolution Satellite Imagery
- Point2Quad: Generating Quad Meshes from Point Clouds via Face Prediction
- Towards Faster and More Compact Foundation Models for Molecular Property Prediction
- Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent
- Adversarial Shallow Watermarking
- Identification and Estimation of Long-Term Treatment Effects with Monotone Missing
- Efficient and Adaptable Overlapping for Computation and Communication via Signaling and Reordering
- FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding
- Masked Point-Entity Contrast for Open-Vocabulary 3D Scene Understanding
- Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees
- DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
- Two-parameter superposable S-curves
- An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination
- CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design
- Optimal Sequential Recommendations: Exploiting User and Item Structure
- Conflicts in Texts: Data, Implications and Challenges
- BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
- Model uncertainty quantification using feature confidence sets for outcome excursions
- A Real-Time Gesture-Based Control Framework
- Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
- Towards Long Context Hallucination Detection
- Masked Language Prompting for Generative Data Augmentation in Few-shot Fashion Style Recognition
- Geometry-Informed Neural Operator Transformer
- Computational Experiments in Number Theory
- Learning High-dimensional Gaussians from Censored Data
- Systematic Bias in Large Language Models: Discrepant Response Patterns in Binary vs. Continuous Judgment Tasks
- Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
- CLIP-KOA: Enhancing Knee Osteoarthritis Diagnosis with Multi-Modal Learning and Symmetry-Aware Loss Functions
- Dual Attention Driven Lumbar Magnetic Resonance Image Feature Enhancement and Automatic Diagnosis of Herniation
- EarthMapper: Visual Autoregressive Models for Controllable Bidirectional Satellite-Map Translation
- Sharp higher order convergence rates for the Adam optimizer
- Advancing Local Clustering on Graphs via Compressive Sensing: Semi-supervised and Unsupervised Methods
- A Real-Time Event-Based Normal Flow Estimator
- GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability
- GSFF-SLAM: 3D Semantic Gaussian Splatting SLAM via Feature Field
- Axial-UNet: A Neural Weather Model for Precipitation Nowcasting
- Context Selection and Rewriting for Video-based Educational Question Generation
- Innovative Integration of 4D Cardiovascular Reconstruction and Hologram: A New Visualization Tool for Coronary Artery Bypass Grafting Planning
- Dynamic Arthroscopic Navigation System for Anterior Cruciate Ligament Reconstruction Based on Multi-level Memory Architecture
- Observational Learning with a Budget
- ICL CIPHERS: Quantifying "Learning" in In-Context Learning via Substitution Ciphers