Papers
Fri 1 Aug 2025
327 papers
- MinionsLLM: a Task-adaptive Framework For The Training and Control of Multi-Agent Systems Through Natural LanguageLLM agents and tool use → General LLM agent frameworks and benchmarks
- HySemRAG: A Hybrid Semantic Retrieval-Augmented Generation Framework for Automated Literature Synthesis and Methodological Gap AnalysisRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Enhancing Retrieval-Augmented Generation for Electric Power Industry Customer SupportRetrieval-augmented generation → RAG pipeline design and evaluation
- Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
- Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty?LLM agents and tool use → Multimodal and embodied agents
- Fast and Flexible Probabilistic Forecasting of Dynamical Systems using Flow Matching and Physical PerturbationDiffusion models → Flow matching, time series and science
- Provably Secure Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +1
- Connectivity Management in Satellite-Aided Vehicular Networks with Multi-Head Attention-Based State EstimationDeep reinforcement learning methods → RL for energy, networks and operations
- ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor SegmentationDiffusion models → Medical imaging and segmentation
- Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident AvoidanceEnd-to-end autonomous driving → Cooperative and V2X driving
- FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language ModelsLLM reasoning → Clinical and biomedical applications
- A Deep Reinforcement Learning-Based TCP Congestion Control Algorithm: Design, Simulation, and EvaluationDeep reinforcement learning methods → RL for energy, networks and operations
- AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM AgentsLLM agents and tool use → Software engineering coding agents
- MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
- Optimal Scheduling Algorithms for LLM Inference: Theory and PracticeEfficient LLM inference and serving → Serving systems and request scheduling
- Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRFDiffusion models → Diffusion and flow policies for robotics
- VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLIRetrieval-augmented generation → Privacy and security of RAG
- From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection under Cloaking PerturbationsMixture-of-experts → Multimodal MoE models
- LeakyCLIP: Extracting Training Data from CLIPDiffusion models → Diffusion foundations and sampling
- Multi-step retrieval and reasoning improves radiology question answering with large language modelsLLM reasoning → Clinical and biomedical applications
- Applying Psychometrics to Large Language Model Simulated Populations: Recreating the HEXACO Personality Inventory Experiment with Generative AgentsLLM agents and tool use → Social simulation and multi-agent debate
- AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song GenerationDiffusion models → Audio, speech and music
- MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- FMPlug: Plug-In Foundation Flow-Matching Priors for Inverse ProblemsDiffusion models → Flow matching, time series and science
- On-Device Diffusion Transformer Policy for Efficient Robot ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and ApplicationsLLM reasoning → Clinical and biomedical applications
- Reinforcement Learning for Decision-Level Interception Prioritization in Drone Swarm DefenseDeep reinforcement learning methods → RL for robot navigation and UAV control
- Multi-Agent Game Generation and Evaluation via Audio-Visual RecordingsLLM agents and tool use → Multimodal and embodied agents
- LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage AttacksLLM safety and security → Jailbreaking
- DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose PriorDiffusion models → 3D, point cloud and scene generation
- GeoMoE: Divide-and-Conquer Motion Field Modeling with Mixture-of-Experts for Two-View GeometryMixture-of-experts → Vision mixture-of-experts
- Wukong Framework for Not Safe For Work Detection in Text-to-Image systemsDiffusion models → Robustness, privacy and adversarial aspects
- MHier-RAG: Multi-Modal RAG for Visual-Rich Document Question-Answering via Hierarchical and Multi-Granularity ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Analysing Temporal Reasoning in Description Logics Using Formal GrammarsLLM reasoning → Knowledge- and tool-augmented reasoning
- SynAdapt: Learning Adaptive Reasoning in Large Language Models via Synthetic Continuous Chain-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- Guiding Diffusion-Based Articulated Object Generation by Partial Point Cloud Alignment and Physical Plausibility ConstraintsDiffusion models → Video generation
- Training-Free Class Purification for Open-Vocabulary Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Activation-Guided Local Editing for Jailbreaking AttacksLLM safety and security → Jailbreaking
- ContestTrade: A Multi-Agent Trading System Based on Internal Contest MechanismLLM agents and tool use → Financial trading and forecasting agents
- HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical ImagesMultimodal LLMs / vision-language models → Medical vision-language models
- Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and BeyondMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic PredictionLLM agents and tool use → Agent threats, guardrails and governance
- HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- Semantic and Temporal Integration in Latent Diffusion Space for High-Fidelity Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Thinking Machines: Mathematical Reasoning in the Age of LLMsLLM reasoning → Mathematical reasoning
- PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRAState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item RecommendationMixture-of-experts → MoE for recommender systems
- CLIPTime: Time-Aware Multimodal Representation Learning from Images and TextMultimodal LLMs / vision-language models → Agricultural vision-language models
- AutoDebias: Automated Framework for Debiasing Text-to-Image ModelsLLM safety and security → Backdoor and data poisoning attacks
- SDMatte: Grafting Diffusion Models for Interactive MattingDiffusion models → 3D, point cloud and scene generation
- CIF: A Constrained Inversion Framework for Reliable Message Extraction in Diffusion-Based Generative SteganographyDiffusion models → Robustness, privacy and adversarial aspects
- Node-as-Agent: Graph Agentic NetworkRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional InpaintingDiffusion models → 3D, point cloud and scene generation
- UIS-Mamba: Exploring Mamba for Underwater Instance Segmentation via Dynamic Tree Scan and Hidden State WeakenState-space sequence models (S4, Mamba) → Mamba for image restoration
- Loop Invariant Generation: A Hybrid Framework of Reasoning optimised LLMs and SMT SolversLLM reasoning → Reasoning benchmarks and evaluation
- Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models TrainingLLM agents and tool use → Web, search, and research agents
- DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent SpaceDiffusion models → Diffusion foundations and sampling
- Sortblock: Similarity-Aware Feature Reuse for Diffusion ModelDiffusion models → Diffusion foundations and sampling +1
- Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- iSafetyBench: A video-language benchmark for safety in industrial environmentMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Video Forgery Detection with Optical Flow Residuals and Spatial-Temporal ConsistencyDiffusion models → Image generation, text-to-image and editing
- Decouple before Align: Visual Disentanglement Enhances Prompt TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Cued-Agent: A Collaborative Multi-Agent System for Automatic Cued Speech RecognitionLLM agents and tool use → Multimodal and embodied agents
- CoRGI: Verified Chain-of-Thought Reasoning with Post-hoc Visual GroundingLLM reasoning → Multimodal reasoning +1
- EdgeInfinite-Instruct: Bridging SFT-Based Optimization and NPU-Level Efficiency for Edge DevicesEfficient LLM inference and serving → KV cache optimization
- Representation Shift: Unifying Token Compression with FlashAttentionEfficient LLM inference and serving → Visual token pruning in multimodal models
- OID-PPO: Optimal Interior Design using Proximal Policy Optimization by Transforming Design Guidelines into Reward FunctionsDeep reinforcement learning methods → RL for energy, networks and operations
- Lucy: edgerunning agentic web search on mobile with machine generated task vectorsLLM agents and tool use → Web, search, and research agents
- Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- BOOD: Boundary-based Out-Of-Distribution Data GenerationDiffusion models → Medical imaging and segmentation
- PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety KnowledgeLLM reasoning → Reasoning for agents, planning and code +2
- Oedipus and the Sphinx: Benchmarking and Improving Visual Language Models for Complex Graphic ReasoningLLM reasoning → Multimodal reasoning +1
- Steering Guidance for Personalized Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- TITAN-Guide: Taming Inference-Time AligNment for Guided Text-to-Video Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Neural Co-state Projection Regulator: A Model-free Paradigm for Real-time Optimal Control with Input ConstraintsDeep reinforcement learning methods → RL theory and sample complexity
- MetaAgent: Toward Self-Evolving Agent via Tool Meta-LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Jet Image Generation in High Energy Physics Using Diffusion ModelsDiffusion models → Flow matching, time series and science
- Guided Depth Map Super-Resolution via Multi-Scale Fusion U-shaped Mamba NetworkState-space sequence models (S4, Mamba) → Vision Mamba backbones
- HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
- Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder
- Managing the unexpected: Operator behavioural data and its value in predicting correct alarm responses
- Multimodal Quantitative Measures for Multiparty Behaviour Evaluation
- Insect-Wing Structured Microfluidic System for Reservoir Computing
- SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization
- Thematic and Task-Based Categorization of K-12 GenAI Usages with Hierarchical Topic Modeling
- The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
- Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction
- MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
- Learning Intrinsic Water-Quality Dynamics with Rainfall for Data-Driven Forecasting
- Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
- Objective Metrics for Evaluating Large Language Models Using External Data Sources
- ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations
- Random Walk Learning and the Pac-Man Attack
- Tobler's First Law in GeoAI: A Spatially Explicit Deep Learning Model for Terrain Feature Detection Under Weak Supervision
- Do We Need Pre-Processing for Deep Learning Based Ultrasound Shear Wave Elastography?
All 327
- Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models
- VQ-DeepISC: Vector Quantized-Enabled Digital Semantic Communication with Channel Adaptive Image Transmission
- A Note on Code Quality Score: LLMs for Maintainable Large Codebases
- Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
- Interpreting Performance Profiles with Deep Learning
- MPCA-based Domain Adaptation for Transfer Learning in Ultrasonic Guided Waves
- Forecasting NCAA Basketball Outcomes with Deep Learning: A Comparative Study of LSTM and Transformer Models
- Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction
- Mathematical Foundations of Geometric Deep Learning
- Blueprint First, Model Second: A Framework for Deterministic LLM Workflow
- ECGTwin: Personalized ECG Generation Using Controllable Diffusion Model
- ZetA: A Riemann Zeta-Scaled Extension of Adam for Deep Learning
- SleepLiteCNN: Energy-Efficient Sleep Apnea Subtype Classification with 1-Second Resolution Using Single-Lead ECG
- The Promise of RL for Autoregressive Image Editing
- TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing
- A hierarchy tree data structure for behavior-based user segment representation
- MASIV: Toward Material-Agnostic System Identification from Videos
- Protecting Student Mental Health with a Context-Aware Machine Learning Framework for Stress Monitoring
- Trans-Adapter: A Plug-and-Play Framework for Transparent Image Inpainting
- Multispin Physics of AI Tipping Points and Hallucinations
- Cross-Domain Web Information Extraction at Pinterest
- AURA: A Hybrid Spatiotemporal-Chromatic Framework for Robust, Real-Time Detection of Industrial Smoke Emissions
- COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
- Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations
- DreamSat-2.0: Towards a General Single-View Asteroid 3D Reconstruction
- The Lattice Geometry of Neural Network Quantization -- A Short Equivalence Proof of GPTQ and Babai's Algorithm
- Evading Data Provenance in Deep Neural Networks
- gpuRDF2vec -- Scalable GPU-based RDF2vec
- Learning the action for long-time-step simulations of molecular dynamics
- Expressive Power of Graph Transformers via Logic
- Inequalities for Optimization of Classification Algorithms: A Perspective Motivated by Diagnostic Testing
- Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
- CP-FREEZER: Latency Attacks against Vehicular Cooperative Perception
- Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
- Managing Escalation in Off-the-Shelf Large Language Models
- Autonomous Penetration Testing: Solving Capture-the-Flag Challenges with LLMs
- Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies
- Explaining GNN Explanations with Edge Gradients
- Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans
- Addressing Cold Start For next-article Recommendation
- CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent
- 3D Reconstruction via Incremental Structure From Motion
- Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
- Diagnostic Accuracy of Open-Source Vision-Language Models on Diverse Medical Imaging Tasks
- AutoSIGHT: Automatic Eye Tracking-based System for Immediate Grading of Human experTise
- Hestia: Voxel-Face-Aware Hierarchical Next-Best-View Acquisition for Efficient 3D Reconstruction
- On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
- v-PuNNs: van der Put Neural Networks for Transparent Ultrametric Representation Learning
- ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation
- UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu
- Generative AI Adoption in Postsecondary Education, AI Hype, and ChatGPT's Launch
- Are LLM-Powered Social Media Bots Realistic?
- Re-optimization of a deep neural network model for electron-carbon scattering using new experimental data
- Consistent DAG selection for Bayesian causal discovery under general error distributions
- ThermoCycleNet: Stereo-based Thermogram Labeling for Model Transition to Cycling
- Generative AI as a Geopolitical Factor in Industry 5.0: Sovereignty, Access, and Control
- AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge AI Capabilities with Classical Educational Theories
- Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles
- Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification
- FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
- A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing
- Enhancing material behavior discovery using embedding-oriented Physically-Guided Neural Networks with Internal Variables
- Small sample-based adaptive text classification through iterative and contrastive description refinement
- FOUNDv2: Learning Unified User Quantized Tokenizers for User Representation
- FeatureCuts: Feature Selection for Large Data by Optimizing the Cutoff
- Academic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource Constraint
- Local Poisson Deconvolution for Discrete Signals
- IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation
- Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning
- Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models
- Efficient Solving of Large Single Input Superstate Decomposable Markovian Decision Process
- Adacc: An Adaptive Framework Unifying Compression and Activation Recomputation for LLM Training
- Online Fine-Tuning of Carbon Emission Predictions using Real-Time Recurrent Learning for State Space Models
- Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models
- Explainable AI and Machine Learning for Exam-based Student Evaluation: Causal and Predictive Analysis of Socio-academic and Economic Factors
- Unraveling Hidden Representations: A Multi-Modal Layer Analysis for Better Synthetic Content Forensics
- SpA2V: Harnessing Spatial Auditory Cues for Audio-driven Spatially-aware Video Generation
- Zero-Shot Anomaly Detection with Dual-Branch Prompt Selection
- Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms
- Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy
- Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
- ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code Generation
- Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data
- GLiDRE: Generalist Lightweight model for Document-level Relation Extraction
- AI-Driven Collaborative Satellite Object Detection for Space Sustainability
- A Simple and Effective Method for Uncertainty Quantification and OOD Detection
- Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking
- SU-ESRGAN: Semantic and Uncertainty-Aware ESRGAN for Super-Resolution of Satellite and Drone Imagery with Fine-Tuning for Cross Domain Evaluation
- Is It Really You? Exploring Biometric Verification Scenarios in Photorealistic Talking-Head Avatar Videos
- GECO: Geometrically Consistent Embedding with Lightspeed Inference
- Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR
- Out-of-Context Abduction: LLMs Make Inferences About Procedural Data Leveraging Declarative Facts in Earlier Training Data
- How LLMs are Shaping the Future of Virtual Reality
- Adaptive Machine Learning-Driven Multi-Fidelity Stratified Sampling for Failure Analysis of Nonlinear Stochastic Systems
- YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
- DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS
- Democratizing Tabular Data Access with an Openunicodex2013Source Syntheticunicodex2013Data SDK
- Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
- JSON-Bag: A generic game trajectory representation
- NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
- Efficient Solution and Learning of Robust Factored MDPs
- Learning Network Dismantling Without Handcrafted Inputs
- D3: Training-Free AI-Generated Video Detection Using Second-Order Features
- Can Large Pretrained Depth Estimation Models Help With Image Dehazing?
- Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach
- Wind Power Scenario Generation based on the Generalized Dynamic Factor Model and Generative Adversarial Network
- Better Call Claude: Can LLMs Detect Changes of Writing Style?
- Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries
- Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier
- Context-Aware Visualization for Explainable AI Recommendations in Social Media: A Vision for User-Aligned Explanations
- MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language
- Advancing Quantum Information Science Pre-College Education: The Case for Learning Sciences Collaboration
- Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
- DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes
- Demo: TOSense -- What Did You Just Agree to?
- Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies
- TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction
- Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
- Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
- Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification
- KFS: KAN based adaptive Frequency Selection learning architecture for long term time series forecasting
- Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs
- IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources
- Backdoor Attacks on Deep Learning Face Detection
- DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
- Constructive Disintegration and Conditional Modes
- Similarity-Based Self-Construct Graph Model for Predicting Patient Criticalness Using Graph Neural Networks and EHR Data
- Prompting Science Report 3: I'll pay you or I'll kill you -- but will you care?
- GHTM: A graph-based hybrid topic modeling approach for Bengali language
- Composable OS Kernel Architectures for Autonomous Intelligence
- A Context-Aware Dual-Metric Framework for Confidence Estimation in Large Language Models
- Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience
- An Extended VIIRS-like Artificial Nighttime Light Data Reconstruction (1986-2024)
- Context-based Motion Retrieval using Open Vocabulary Methods for Autonomous Driving
- Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
- The Role of Active Learning in Modern Machine Learning
- From EMR Data to Clinical Insight: An LLM-Driven Framework for Automated Pre-Consultation Questionnaire Generation
- OmniUnet: A Multimodal Network for Unstructured Terrain Segmentation on Planetary Rovers Using RGB, Depth, and Thermal Imagery
- Learning Potential Energy Surfaces of Hydrogen Atom Transfer Reactions in Peptides
- MultiSHAP: A Shapley-Based Framework for Explaining Cross-Modal Interactions in Multimodal AI Models
- CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
- Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
- DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification
- Video Color Grading via Look-Up Table Generation
- SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval
- Foundations of Interpretable Models
- PaPaformer: Language Model from Pre-trained Parallel Paths
- Phase-Locked SNR Band Selection for Weak Mineral Signal Detection in Hyperspectral Imagery
- The Prosody of Emojis
- Towards a unified framework for programming paradigms: A systematic review of classification formalisms and methodological foundations
- The Repeated-Stimulus Confound in Electroencephalography
- EPANet: Efficient Path Aggregation Network for Underwater Fish Detection
- Towards a Measure Theory of Semantic Information
- Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
- Fine-grained Spatiotemporal Grounding on Egocentric Videos
- Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
- Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection
- Leveraging Convolutional and Graph Networks for an Unsupervised Remote Sensing Labelling Tool
- LesiOnTime -- Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI
- SAMSA 2.0: Prompting Segment Anything with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
- The Missing Parts: Augmenting Fact Verification with Half-Truth Detection
- CyGATE: Game-Theoretic Cyber Attack-Defense Engine for Patch Strategy Optimization
- GETALP@AutoMin 2025: Leveraging RAG to Answer Questions based on Meeting Transcripts
- HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection
- A Conditional GAN for Tabular Data Generation with Probabilistic Sampling of Latent Subspaces
- Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple LLM Judges
- When Relevance Meets Novelty: Dual-Stable Periodic Optimization for Serendipitous Recommendation
- TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
- Reducing the gap between general purpose data and aerial images in concentrated solar power plants
- Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection
- Automated Type Annotation in Python Using Large Language Models
- Combining Discrete Wavelet and Cosine Transforms for Efficient Sentence Embedding
- IN2OUT: Fine-Tuning Video Inpainting Model for Video Outpainting Using Hierarchical Discriminator
- Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection
- Benchmarking LLMs for Unit Test Generation from Real-World Functions
- PMR: Physical Model-Driven Multi-Stage Restoration of Turbulent Dynamic Videos
- Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation
- Sari Sandbox: A Virtual Retail Store Environment for Embodied AI Agents
- Occlusion-robust Stylization for Drawing-based 3D Animation
- ExeKGLib: A Platform for Machine Learning Analytics based on Knowledge Graphs
- Dual Adaptivity: Universal Algorithms for Minimizing the Adaptive Regret of Convex Functions
- SA-GCS: Semantic-Aware Gaussian Curriculum Scheduling for UAV Vision-Language Navigation
- STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers
- Multi-Layer Attention is the Amplifier of Demonstration Effectiveness
- MVHybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models
- Advancing Welding Defect Detection in Maritime Operations via Adapt-WeldNet and Defect Detection Interpretability Analysis
- Bidirectional Action Sequence Learning for Long-term Action Anticipation with Large Language Models
- Preliminary Investigation into Uncertainty-Aware Attack Stage Classification
- SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies
- Honey Classification using Hyperspectral Imaging and Machine Learning
- CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective
- Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering
- Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
- Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging
- Improving Multimodal Contrastive Learning of Sentence Embeddings with Object-Phrase Alignment
- Embryology of a Language Model
- Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating
- PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models
- GV-VAD : Exploring Video Generation for Weakly-Supervised Video Anomaly Detection
- DocTron-Formula: Generalized Formula Recognition in Complex and Structured Scenarios
- Exploring Fourier Prior and Event Collaboration for Low-Light Image Enhancement
- Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELD
- Systematic Evaluation of Optimization Techniques for Long-Context Language Models
- Invariant Graph Transformer for Out-of-Distribution Generalization
- MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems
- Controllable Pedestrian Video Editing for Multi-View Driving Scenarios via Motion Sequence
- AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware Transformer
- Formal Power Series Representations in Probability and Expected Utility Theory
- UAV-ON: A Benchmark for Open-World Object Goal Navigation with Aerial Agents
- Privacy-Preserving Driver Drowsiness Detection with Spatial Self-Attention and Federated Learning
- Toward using explainable data-driven surrogate models for treating performance-based seismic design as an inverse engineering problem
- Enhancing Trustworthy Clinical Diagnosis Decision-Making in Large Language Models via Etiology-Aware Attention Supervision
- Mind the Gap: The Divergence Between Human and LLM-Generated Tasks
- Towards Robust Semantic Correspondence: A Benchmark and Insights
- Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring
- Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks
- Multimodal Referring Segmentation: A Survey
- Calibrated Language Models and How to Find Them with Label Smoothing
- PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting
- Large AI Model-Enabled Secure Communications in Low-Altitude Wireless Networks: Concepts, Perspectives and Case Study
- Accurate and Consistent Graph Model Generation from Text with Large Language Models
- Sinusoidal Approximation Theorem for Kolmogorov-Arnold Networks
- What's Behind the Magic? Audiences Seek Artistic Value in Generative AI's Contributions to a Live Dance Performance
- Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English
- Weakly Supervised Intracranial Aneurysm Detection and Segmentation in MR angiography via Multi-task UNet with Vesselness Prior
- Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts
- Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product