Papers
Mon 15 Sep 2025
359 papers
- Pluralistic Off-policy Evaluation and AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- AdaSTI: Conditional Diffusion Models with Adaptive Dependency Modeling for Spatio-Temporal ImputationDiffusion models → Flow matching, time series and science
- Early Approaches to Adversarial Fine-Tuning for Prompt Injection Defense: A 2022 Study of GPT-3 and Contemporary ModelsLLM safety and security → Jailbreaking
- SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language ModelsMixture-of-experts → Medical and biomedical MoE
- Graph-Enhanced Retrieval-Augmented Question Answering for E-Commerce Customer SupportRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Phi: Preference Hijacking in Multi-modal Large Language Models at Inference TimeMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Evaluating Robustness of Vision-Language Models Under Noisy ConditionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Audited Reasoning Refinement: Fine-Tuning Language Models via LLM-Guided Step-Wise Evaluation and CorrectionLLM reasoning → Test-time compute and efficient thinking
- Reasoning Models Can be Accurately Pruned Via Chain-of-Thought ReconstructionLLM reasoning → Test-time compute and efficient thinking
- Reinforcement Learning-Based Market Making as a Stochastic Control on Non-Stationary Limit Order Book DynamicsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- From Legacy Fortran to Portable Kokkos: An Autonomous Agentic AI WorkflowLLM agents and tool use → Software engineering coding agents
- Enhancing Physical Consistency in Lightweight World ModelsWorld models → Latent predictive world models
- Building Coding Agents via Entropy-Enhanced Multi-Turn Preference OptimizationLLM reasoning → Reinforcement learning for reasoning +2
- Causal-Symbolic Meta-Learning (CSML): Inducing Causal World Models for Few-Shot GeneralizationWorld models → World models for language agents
- LLM-as-a-Judge: Rapid Evaluation of Legal Document Recommendation for Retrieval-Augmented GenerationRetrieval-augmented generation → Legal and financial RAG
- GhostNetV3-Small: A Tailored Architecture and Comparative Study of Distillation Strategies for Tiny ImagesKnowledge distillation → General knowledge distillation methods
- Platoon-Centric Green Light Optimal Speed Advisory Using Safe Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Diffusion-Based Generation and Imputation of Driving Scenarios from Limited Vehicle CAN DataDiffusion models → Flow matching, time series and science
- MORABLES: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with FablesLLM reasoning → Reasoning benchmarks and evaluation
- LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit CorrespondenceDiffusion models → Image generation, text-to-image and editing
- OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World ModelingWorld models → Video-generation world models and simulators
- Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive AdaptationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Approaches to Analysis and Design of AI-Based Autonomous VehiclesEnd-to-end autonomous driving → End-to-end system architecture
- EfficientUICoder: A Bidirectional Token Compression Framework for Efficient MLLM-Based UI Code GenerationEfficient LLM inference and serving → Visual token pruning in multimodal models
- Open-ended Hierarchical Streaming Video Understanding with Vision Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- When MoE Meets Blockchain: A Trustworthy Distributed Framework of Large ModelsMixture-of-experts → Expert routing strategies
- Control Analysis and Design for Autonomous Vehicles Subject to Imperfect AI-Based PerceptionEnd-to-end autonomous driving → End-to-end system architecture
- Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Compositional shield synthesis for safe reinforcement learning in partial observabilityDeep reinforcement learning methods → Safe and constrained RL
- When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +2
- FinGEAR: Financial Mapping-Guided Enhanced Answer RetrievalRetrieval-augmented generation → Legal and financial RAG
- Imitation Learning as Return Distribution MatchingOffline RL and imitation learning from data → Imitation learning methods +1
- Robust Concept Erasure in Diffusion Models: A Theoretical Perspective on Security and RobustnessDiffusion models → Robustness, privacy and adversarial aspects
- Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward CentroidsOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Lost in Embeddings: Information Loss in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ToolRM: Outcome Reward Models for Tool-Calling Large Language ModelsLLM reasoning → Reinforcement learning for reasoning +2
- Spec-LLaVA: Accelerating Vision-Language Models with Dynamic Tree-Based Speculative DecodingLLM reasoning → Test-time compute and efficient thinking +2
- Learning to Generate 4D LiDAR SequencesWorld models → World modeling from LiDAR generation +1
- Agentic Temporal Graph of Reasoning with Multimodal Language Models: A Potential AI Aid to HealthcareLLM reasoning → Clinical and biomedical applications +1
- Agentic System with Modal Logic for Autonomous DiagnosticsLLM agents and tool use → General LLM agent frameworks and benchmarks
- VisDocSketcher: Towards Scalable Visual Documentation with Agentic SystemsLLM agents and tool use → Software engineering coding agents
- Enriched text-guided variational multimodal knowledge distillation network (VMD) for automated diagnosis of plaque vulnerability in 3D carotid artery MRIKnowledge distillation → Distillation for medical imaging
- BuildingGym: An open-source toolbox for AI-based building energy management using reinforcement learningDeep reinforcement learning methods → RL for energy, networks and operations
- EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal ModelsLLM agents and tool use → Agent memory systems
- Learning Representations in Video Game Agents with Supervised Contrastive Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt ManipulationDiffusion models → Image generation, text-to-image and editing
- Tenma: Robust Cross-Embodiment Robot Manipulation with Diffusion TransformerDiffusion models → Diffusion and flow policies for robotics
- NeuroStrike: Neuron-Level Attacks on Aligned LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Bridging Vision Language Models and Symbolic Grounding for Video Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Synthetic Captions for Open-Vocabulary Zero-Shot SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric LearningVision-language-action models → Tactile, force-aware and humanoid VLA
- Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM UnlearningLLM safety and security → Machine unlearning
- SpecVLM: Fast Speculative Decoding in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- FineQuest: Adaptive Knowledge-Assisted Sports Video Understanding via Agent-of-Thoughts ReasoningLLM reasoning → Multimodal reasoning
- AgenticIE: An Adaptive Agent for Information Extraction from Complex Regulatory DocumentsLLM agents and tool use → Web, search, and research agents
- Igniting VLMs toward the Embodied SpaceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Removal Attack and Defense on AI-generated Content Latent-based WatermarkingLLM safety and security → Watermarking generated content and models
- DRAG: Data Reconstruction Attack using Guided DiffusionDiffusion models → Robustness, privacy and adversarial aspects
- ConEQsA: Concurrent and Asynchronous Embodied Questions Scheduling and AnsweringLLM agents and tool use → Multimodal and embodied agents
- MindVL: Towards Efficient and Effective Training of Multimodal Large Language Models on Ascend NPUsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- MALLM: Multi-Agent Large Language Models FrameworkLLM reasoning → Reasoning for agents, planning and code +1
- Joint-octamamba:an octa joint segmentation network based on feature enhanced mambaState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AILLM reasoning → Clinical and biomedical applications
- Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self-Management: A Divide and Conquer FrameworkMultimodal LLMs / vision-language models → Medical vision-language models
- IS-Diff: Improving Diffusion-Based Inpainting with Better Initial SeedDiffusion models → 3D, point cloud and scene generation
- Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-CheckLLM reasoning → Reasoning for agents, planning and code +2
- SpeCa: Accelerating Diffusion Transformers with Speculative Feature CachingDiffusion models → Diffusion foundations and sampling +1
- Inference-stage Adaptation-projection Strategy Adapts Diffusion Policy to Cross-manipulators ScenariosDiffusion models → Diffusion and flow policies for robotics
- AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- A Survey of Reasoning and Agentic Systems in Time Series with Large Language ModelsLLM reasoning → Time series reasoning +1
- Formal Reasoning for Intelligent QA Systems: A Case Study in the Educational DomainLLM reasoning → Reasoning benchmarks and evaluation
- D2HScore: Reasoning-Aware Hallucination Detection via Semantic Breadth and Depth Analysis in LLMsLLM reasoning → Hallucination detection and mitigation
- HiChunk: Evaluating and Enhancing Retrieval-Augmented Generation with Hierarchical ChunkingRetrieval-augmented generation → Multimodal RAG
- How Auxiliary Reasoning Unleashes GUI Grounding in VLMsLLM reasoning → Multimodal reasoning +1
- UI-S1: Advancing GUI Automation via Semi-online Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- HARP: Hallucination Detection via Reasoning Subspace ProjectionLLM reasoning → Hallucination detection and mitigation
- DARD: Dice Adversarial Robustness Distillation against Adversarial AttacksKnowledge distillation → Federated, robust and private distillation
- VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability DetectionLLM agents and tool use → Agent threats, guardrails and governance
- Know What You Don't Know: Selective Prediction for Early Exit DNNsEfficient LLM inference and serving → Early exit and edge inference
- MedicalOS: An LLM Agent based Operating System for Digital HealthcareLLM agents and tool use → Medical and scientific domain agents
- Cross-Platform Scaling of Vision-Language-Action Models from Edge to Cloud GPUsVision-language-action models → Efficient VLA inference and adaptation
- Weightless Neural Networks for Continuously Trainable Personalized Recommendation Systems
- Biomedical Hypothesis Explainability with Graph-Based Context Retrieval
- When Robots Say No: Temporal Trust Recovery Through Explanation
- Cycle is All You Need: More Is Different
- Cross-Modal Retrieval with Cauchy-Schwarz Divergence
- Interpreting Public Sentiment in Diplomacy Events: A Counterfactual Analysis Framework Using Large Language Models
- Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question
- Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation
- CSIYOLO: An Intelligent CSI-based Scatter Sensing Framework for Integrated Sensing and Communication Systems
- A Spatio-Temporal Feature Fusion EEG Virtual Channel Signal Generation Network and Its Application in Anxiety Assessment
- Early Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records
- Weight Mapping Properties of a Dual Tree Single Clock Adiabatic Capacitive Neuron
- KM-GPT: An Automated Pipeline for Reconstructing Individual Patient Data from Kaplan-Meier Plots
- Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing
- SpeechWeave: Diverse Multilingual Synthetic Text & Audio Data Generation Pipeline for Training Text to Speech Models
- DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models
- A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
- Parking Space Ground Truth Test Automation by Artificial Intelligence Using Convolutional Neural Networks
- The Provenance Problem: LLMs and the Breakdown of Citation Norms
All 359
- Asterisk Operator
- Research on Expressway Congestion Warning Technology Based on YOLOv11-DIoU and GRU-Attention
- PREDICT-GBM: A multi-center platform to advance personalized glioblastoma radiotherapy planning
- Generative AI performance in core undergraduate mathematics: a curriculum-level case study
- 3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
- A Dimensionality-Reduced XAI Framework for Roundabout Crash Severity Insights
- Context-Aware Language Models for Forecasting Market Impact from Sequences of Financial News
- Generalizable Blood Pressure Estimation from Multi-Wavelength PPG Using Curriculum-Adversarial Learning
- Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
- A comparison of pipelines for the translation of a low resource language based on transformers
- DinoAtten3D: Slice-Level Attention Aggregation of DinoV2 for 3D Brain MRI Anomaly Classification
- Axis-Aligned 3D Stalk Diameter Estimation from RGB-D Imagery
- Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
- Fun-ASR Technical Report
- Learning to Generate Pointing Gestures in Situated Embodied Conversational Agents
- Artist-Created Mesh Generation from Raw Observation
- Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
- Localized Region Guidance for Class Activation Mapping in WSSS
- Physical Complexity of a Cognitive Artifact
- SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
- Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures
- Benchmarking Physics-Informed Neural Networks and Boundary Elements Methods for Wave Scattering
- Towards Foundational Models for Single-Chip Radar
- Image Tokenizer Needs Post-Training
- Empowering Clinical Trial Design through AI: A Randomized Evaluation of PowerGPT
- Nonlocal Neural Tangent Kernels via Parameter-Space Interactions
- Does Language Model Understand Language?
- Neural 3D Object Reconstruction with Small-Scale Unmanned Aerial Vehicles
- On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
- Two-Stage Decoupling Framework for Variable-Length Glaucoma Prognosis
- Deep learning for 3D point cloud processing -- from approaches, tasks to its implications on urban and environmental applications
- Topic Coverage-based Demonstration Retrieval for In-Context Learning
- PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization
- Cott-ADNet: Lightweight Real-Time Cotton Boll and Flower Detection Under Field Conditions
- MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
- Neural-Quantum-States Impurity Solver for Quantum Embedding Problems
- DYNAMO: Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Prediction
- Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition
- Understanding Prompt Management in GitHub Repositories: A Call for Best Practices
- Surrogate Representation Inference for Text and Image Annotations
- Bayesian Parametric Matrix Models: Principled Uncertainty Quantification for Spectral Learning
- MORQA: Benchmarking Evaluation Metrics for Medical Open-Ended Question Answering
- Reduced Order Modeling of Energetic Materials Using Physics-Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)
- From Orthomosaics to Raw UAV Imagery: Enhancing Palm Detection and Crown-Center Localization
- Information Loss and Disparate Effects in Network Embeddings
- Evaluating Large Language Models for Functional and Maintainable Code in Industrial Settings: A Case Study at ASML
- Adaptive Spatial Goodness Encoding: Advancing and Scaling Forward-Forward Learning Without Backpropagation
- Evaluating the printability of stl files with ML
- Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks
- SENTRA: Selected-Next-Token Transformer for LLM Text Detection
- Geometric Red-Teaming for Robotic Manipulation
- Universal Gr"obner Bases of (Universal) Multiview Ideals
- Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder
- An integrated process for design and control of lunar robotics using AI and simulation
- Enhancing Smart Farming Through Federated Learning: A Secure, Scalable, and Efficient Approach for AI-Driven Agriculture
- Unsupervised Atomic Data Mining via Multi-Kernel Graph Autoencoders for Machine Learning Force Fields
- Jackknife Variance Estimation for H'ajek-Dominated Generalized U-Statistics
- DS@GT AnimalCLEF: Triplet Learning over ViT Manifolds with Nearest Neighbor Classification for Animal Re-identification
- Linear Dimensionality Reduction for Word Embeddings in Tabular Data Classification
- FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning
- Exact Coset Sampling for Quantum Lattice Algorithms
- MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch
- Integrating Attention-Enhanced LSTM and Particle Swarm Optimization for Dynamic Pricing and Replenishment Strategies in Fresh Food Supermarkets
- Uncertainty-Aware Hourly Air Temperature Mapping at 2 km Resolution via Physics-Guided Deep Learning
- Spontaneous Kolmogorov-Arnold Geometry in Shallow MLPs
- VADER: A Variational Autoencoder to Infer Planetary Masses and Gas-Dust Disk Properties Around Young Stars
- An End to End Edge to Cloud Data and Analytics Strategy
- More Similar than Dissimilar: Modeling Annotators for Cross-Corpus Speech Emotion Recognition
- C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction
- Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims
- Enhancing Radiographic Disease Detection with MetaCheX, a Context-Aware Multimodal Model
- Character-Centric Understanding of Animated Movies
- 3D Human Pose and Shape Estimation from LiDAR Point Clouds: A Review
- Dynamic Relational Priming Improves Transformer in Multivariate Time Series
- Teaching large language models to reason like expert diagnosticians
- Domain-Adaptive Pretraining Improves Primate Behavior Recognition
- Survival at Any Cost? LLMs and the Choice Between Self-Preservation and Human Harm
- Event2Vec: A Geometric Approach to Learning Composable Representations of Event Sequences
- HoloGarment: 360deg Novel View Synthesis of In-the-Wild Garments
- The Morgan-Pitman Test of Equality of Variances and its Application to Machine Learning Model Evaluation and Selection
- All that structure matches does not glitter
- From Autoencoders to CycleGAN: Robust Unpaired Face Manipulation via Adversarial Learning
- Preservation of Language Understanding Capabilities in Speech-aware Large Language Models
- RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing
- MMM: Clustering Multivariate Longitudinal Mixed-type Data
- Pun Unintended: LLMs and the Illusion of Humor Understanding
- LoRA-fine-tuned Large Vision Models for Automated Assessment of Post-SBRT Lung Injury
- Learning Neural Networks by Neuron Pursuit
- Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference
- Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion
- Do machine learning climate models work in changing climate dynamics?
- Multi Anatomy X-Ray Foundation Model
- 3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
- XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Models
- RailSafeNet: Visual Scene Understanding for Tram Safety
- K-Level Policy Gradients for Multi-Agent Reinforcement Learning
- CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
- When marine radar target detection meets pretrained large language models
- GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models
- Exploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice
- FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation
- JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference
- Can LLMs Address Mental Health Questions? A Comparison with Human Therapists
- In-domain SSL pre-training and streaming ASR
- Is 'Hope' a person or an idea? A pilot benchmark for NER: comparing traditional NLP tools and large language models on ambiguous entities
- Draw a Portrait of Your Graph Data: An Instance-Level Profiling Framework for Graph-Structured Data
- SENSE models: an open source solution for multilingual and multimodal semantic-based tasks
- Bridging Engineering and AI Planning through Model-Based Knowledge Transformation for the Validation of Automated Production System Variants
- End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRI
- RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning
- Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors
- A Time-Series Foundation Model by Universal Delay Embedding
- Progressive Flow-inspired Unfolding for Spectral Compressive Imaging
- Early Detection of Branched Broomrape (Phelipanche ramosa) Infestation in Tomato Crops Using Leaf Spectral Analysis and Machine Learning
- U-Mamba2: Scaling State Space Models for Dental Anatomy Segmentation in CBCT
- End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Data
- Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect
- Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation
- Optimal hypersurface decision trees
- LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications
- FluentAvatar: Flicker-Free Talking-Head Animation via Phoneme-Guided Autoregressive Modeling
- A comparison between geostatistical and machine learning models for spatio-temporal prediction of PM2.5 data
- Interaction-Driven Browsing: A Human-in-the-Loop Conceptual Framework Informed by Human Web Browsing for Browser-Using Agents
- Hi-DARTS: Hierarchical Dynamically Adapting Reinforcement Trading System
- A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset
- Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking
- Travel Time and Weather-Aware Traffic Forecasting in a Conformal Graph Neural Network Framework
- Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
- RAM++: Robust Representation Learning via Adaptive Mask for All-in-One Image Restoration
- Human-AI Use Patterns for Decision-Making in Disaster Scenarios: A Systematic Review
- Contractive kinetic Langevin samplers beyond global Lipschitz continuity
- Learning non-Markovian Dynamical Systems with Signature-based Encoders
- AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
- Improving Out-of-Domain Audio Deepfake Detection via Layer Selection and Fusion of SSL-Based Countermeasures
- Data-driven Smile Design: Personalized Dental Aesthetics Outcomes Using Deep Learning
- Text Adaptation to Plain Language and Easy Read via Automatic Post-Editing Cycles
- Query-Focused Extractive Summarization for Sentiment Explanation
- Learning from Uncertain Similarity and Unlabeled Data
- Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training
- Examining the Relationship between Scientific Publishing Activity and Hype-Driven Financial Bubbles: A Comparison of the Dot-Com and AI Eras
- Poison to Detect: Detection of Targeted Overfitting in Federated Learning
- MusicSwarm: Biologically Inspired Intelligence for Music Composition
- Time-Constrained Intelligent Adversaries for Automation Vulnerability Testing: A Multi-Robot Patrol Case Study
- MillStone: How Open-Minded Are LLMs?
- Deep operator network for surrogate modeling of poroelasticity with random permeability fields
- Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation
- CLAIRE: A Dual Encoder Network with RIFT Loss and Phi-3 Small Language Model Based Interpretability for Cross-Modality Synthetic Aperture Radar and Optical Land Cover Segmentation
- TabStruct: Measuring Structural Fidelity of Tabular Data
- Sphere-GAN: a GAN-based Approach for Saliency Estimation in 360deg Videos
- A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
- How to Evaluate Medical AI
- Neuromorphic Intelligence
- MMORE: Massive Multimodal Open RAG & Extraction
- Unrolling Graph-based Douglas-Rachford Algorithm for Image Interpolation with Informed Initialization
- Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation
- NeuroGaze-Distill: Brain-informed Distillation and Depression-Inspired Geometric Priors for Robust Facial Emotion Recognition
- Uncertainty in Authorship: Why Perfect AI Detection Is Mathematically Impossible
- Quantum Noise Tomography with Physics-Informed Neural Networks
- High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems
- Wavelet-SARIMA-Transformer: A Hybrid Model for Rainfall Forecasting
- Integrating Prior Observations for Incremental 3D Scene Graph Prediction
- Logit Mixture Outlier Exposure for Fine-grained Out-of-Distribution Detection
- BREA-Depth: Bronchoscopy Realistic Airway-geometric Depth Estimation
- SAM-TTT: Segment Anything Model via Reverse Parameter Configuration and Test-Time Training for Camouflaged Object Detection
- Multi-animal tracking in Transition: Comparative Insights into Established and Emerging Methods
- Growing Perspectives: Modelling Embodied Perspective Taking and Inner Narrative Development Using Large Language Models
- Dr.V: A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-grained Spatial-Temporal Grounding
- MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues
- Segmentation-Driven Initialization for Sparse-view 3D Gaussian Splatting
- The AI Memory Gap: Users Misremember What They Created With AI or Without
- Transparent and Fair Profiling in Employment Services: Evidence from Switzerland
- Probabilistic Robustness Analysis in High Dimensional Space: Application to Semantic Segmentation Network
- Collaborative Document Editing with Multiple Users and AI Agents
- Data-Driven Analysis of Text-Conditioned AI-Generated Music: A Case Study with Suno and Udio
- FedDAF: Federated Domain Adaptation Using Model Functional Distance
- SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection
- MAFS: Masked Autoencoder for Infrared-Visible Image Fusion and Semantic Segmentation
- LFRA-Net: A Lightweight Focal and Region-Aware Attention Network for Retinal Vessel Segmentatio
- PledgeTracker: A System for Monitoring the Fulfilment of Pledges
- From Fuzzy Speech to Medical Insight: Benchmarking LLMs on Noisy Patient Narratives
- When Curiosity Signals Danger: Predicting Health Crises Through Online Medication Inquiries
- Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training Dynamics
- Visualization and Analysis of the Loss Landscape in Graph Neural Networks
- Synthetic vs. Real Training Data for Visual Navigation
- Watch Your Step: A Cost-Sensitive Framework for Accelerometer-Based Fall Detection in Real-World Streaming Scenarios
- Multimodal Regression for Enzyme Turnover Rates Prediction
- Variational Gaussian Approximation in Replica Analysis of Parametric Models
- User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums
- SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentation
- Seg2Track-SAM2: SAM2-based Multi-object Tracking and Segmentation
- Stabilizing PINNs: A regularization scheme for PINN training to avoid unstable fixed points of dynamical systems
- MSMA: Multi-Scale Feature Fusion For Multi-Attribute 3D Face Reconstruction From Unconstrained Images
- A Fully Open and Generalizable Foundation Model for Ultrasound Clinical Applications
- Data Fusion and Machine Learning for Ship Fuel Consumption Modelling -- A Case of Bulk Carrier Vessel
- Analysing Python Machine Learning Notebooks with Moose
- Bridging the Gap Between Sparsity and Redundancy: A Dual-Decoding Framework with Global Context for Map Inference
- Fast and Interpretable Machine Learning Modelling of Atmospheric Molecular Clusters
- Microsurgical Instrument Segmentation for Robot-Assisted Surgery
- Advanced Layout Analysis Models for Docling
- HeLoFusion: An Efficient and Scalable Encoder for Modeling Heterogeneous and Multi-Scale Interactions in Trajectory Prediction
- CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents
- EMeRALDS: Electronic Medical Record Driven Automated Lung Nodule Detection and Classification in Thoracic CT Images
- Beyond Regularity: Modeling Chaotic Mobility Patterns for Next Location Prediction
- The Quest for Universal Master Key Filters in DS-CNNs
- Room acoustics affect communicative success in hybrid meeting spaces: a pilot study
- CoachMe: Decoding Sport Elements with a Reference-Based Coaching Instruction Generation Model
- Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation
- A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
- Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
- IMD: A 6-DoF Pose Estimation Benchmark for Industrial Metallic Objects
- An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution
- SpaPool: Soft Partition Assignment Pooling for__Graph Neural Networks
- RouteExtract: A Modular Pipeline for Extracting Routes from Paper Maps
- Measuring Visual Understanding in Telecom domain: Performance Metrics for Image-to-UML conversion using VLMs
- DTGen: Generative Diffusion-Based Few-Shot Data Augmentation for Fine-Grained Dirty Tableware Recognition
- WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration
- Task-Agnostic Learnable Weighted-Knowledge Base Scheme for Robust Semantic Communications
- Assessing On-the-Ground Disaster Impact Using Online Data Sources
- Adaptive-GraphSketch: Real-Time Edge Anomaly Detection via Multi-Layer Tensor Sketching and Temporal Decay
- Automated Creation and Enrichment Framework for Improved Invocation of Enterprise APIs as Tools
- Inducing Uncertainty on Open-Weight Models for Test-Time Privacy in Image Recognition
- A Controllable 3D Deepfake Generation Framework with Gaussian Splatting
- HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain
- Topology Structure Optimization of Reservoirs Using GLMY Homology
- Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals
- DUAL-VAD: Dual Benchmarks and Anomaly-Focused Sampling for Video Anomaly Detection
- Dynamic Span Interaction and Graph-Aware Memory for Entity-Level Sentiment Classification
- Dynamic Adaptive Parsing of Temporal and Cross-Variable Patterns for Network State Classification
- Disentangling Content from Style to Overcome Shortcut Learning: A Hybrid Generative-Discriminative Learning Framework
- AMLNet: A Knowledge-Based Multi-Agent Framework to Generate and Detect Realistic Money Laundering Transactions
- GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning
- Analyzing Information-Seeking Behaviors in a Hakka AI Chatbot: A Cognitive-Pragmatic Study
- MVQA-68K: A Multi-dimensional and Causally-annotated Dataset with Quality Interpretability for Video Assessment
- Optimizing Class Distributions for Bias-Aware Multi-Class Learning
- Hierarchical Identity Learning for Unsupervised Visible-Infrared Person Re-Identification
- Learning Singularity-Encoded Green's Functions with Application to Iterative Methods
- Gaussian-Plus-SDF SLAM: High-fidelity 3D Reconstruction at 150+ fps
- Bhaasha, Bhasa, Zaban: A Survey for Low-Resourced Languages in South Asia -- Current Stage and Challenges
- Dstack: A Zero Trust Framework for Confidential Containers
- Compressed Sensing: Mathematical Foundations, Implementation, and Advanced Optimization Techniques
- Task Decoding based on Eye Movements using Synthetic Data Augmentation
- SFGNet: Semantic and Frequency Guided Network for Camouflaged Object Detection
- On the Distinctive Co-occurrence Characteristics of Antonymy
- E-ROBOT: a dimension-free method for robust statistics and machine learning via Schr"odinger bridge
- Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis
- PeruMedQA: Benchmarking Large Language Models (LLMs) on Peruvian Medical Exams -- Dataset Construction and Evaluation
- LVLMs are Bad at Overhearing Human Referential Communication
- Unsupervised Candidate Ranking for Lexical Substitution via Holistic Sentence Semantics
- Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
- Learning Majority-to-Minority Transformations with MMD and Triplet Loss for Imbalanced Classification
- SafeDiver: Cooperative AUV-USV Assisted Diver Communication via Multi-agent Reinforcement Learning Approach
- OASIS: A Deep Learning Framework for Universal Spectroscopic Analysis Driven by Novel Loss Functions
- DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classification
- AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization
- Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
- ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims
- Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
- Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation
- RAPTOR: A Foundation Policy for Quadrotor Control