Papers
Tue 15 Jul 2025
305 papers
- Sketch-based Fluid Video Generation Using Motion-Guided Diffusion Models in Still Landscape ImagesDiffusion models → Video generation
- Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Persona-Based Synthetic Data Generation Using Multi-Stage Conditioning with Large Language Models for Emotion RecognitionSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision MakingWorld models → World models for navigation
- WaFusion: A Wavelet-Enhanced Diffusion Framework for Face Morph GenerationDiffusion models → Robustness, privacy and adversarial aspects
- Spatially Grounded Explanations in Vision Language Models for Document Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Scaling laws for activation steering with Llama 2 models and refusal mechanismsMechanistic interpretability → Activation steering methods
- Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual ReasoningLLM reasoning → Multimodal reasoning
- A Deep Reinforcement Learning Method for Multi-objective Transmission SwitchingDeep reinforcement learning methods → RL for energy, networks and operations
- Reinforcement Learning from Adversarial Preferences in Tabular MDPsDeep reinforcement learning methods → RL theory and sample complexity
- Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded VerificationLLM reasoning → Reasoning for agents, planning and code
- Deep Generative Methods and Tire Architecture DesignDiffusion models → 3D, point cloud and scene generation
- General Modular Harness for LLM Agents in Multi-Turn Gaming EnvironmentsLLM agents and tool use → Reinforcement learning for LLM agents
- Jailbreak-Tuning: Models Efficiently Learn Jailbreak SusceptibilityLLM safety and security → Jailbreaking
- MapIQ: Evaluating Multimodal Large Language Models for Map Question AnsweringMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch GenerationDiffusion models → Image generation, text-to-image and editing
- AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the AirDiffusion models → Discrete and text diffusion
- Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary LightDeep reinforcement learning methods → Deep RL algorithms and representations
- HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable EditingDiffusion models → Medical imaging and segmentation
- Chain of Thought Monitorability: A New and Fragile Opportunity for AI SafetyLLM reasoning → Prompting and chain-of-thought reasoning
- Implementing Adaptations for Vision AutoRegressive ModelDiffusion models → Image generation, text-to-image and editing
- Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?LLM reasoning → Reasoning benchmarks and evaluation
- KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?LLM reasoning → Prompting and chain-of-thought reasoning
- EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning ModesLLM reasoning → Reasoning benchmarks and evaluation
- Step-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Local Pairwise Distance Matching for Backpropagation-Free Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Neurosymbolic Reasoning Shortcuts under the Independence AssumptionLLM reasoning → Reasoning benchmarks and evaluation
- Guiding LLM Decision-Making with Fairness Reward ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- Internal Value Alignment in Large Language Models through Controlled Value Vector ActivationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility VerificationLLM reasoning → Reasoning for agents, planning and code
- Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in RomanianLLM agents and tool use → Medical and scientific domain agents
- Ocean Diviner: A Diffusion-Augmented Reinforcement Learning Framework for AUV Robust Control in Underwater TasksDeep reinforcement learning methods → RL for robot navigation and UAV control
- Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI SystemsLLM agents and tool use → Software engineering coding agents
- FMC: Formalization of Natural Language Mathematical Competition ProblemsLLM reasoning → Mathematical reasoning
- KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional EmbeddingEfficient LLM inference and serving → KV cache optimization
- An Empirical Study of Multi-Agent RAG for Real-World University Admissions CounselingRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal BoundDeep reinforcement learning methods → Deep RL algorithms and representations
- Sparse Autoencoders Can Capture Language-Specific Concepts Across Diverse LanguagesMechanistic interpretability → SAE features and their applications
- An Agentic Flow for Finite State Machine Extraction using Prompt ChainingLLM agents and tool use → Agent threats, guardrails and governance
- Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication BiasLLM agents and tool use → Medical and scientific domain agents
- How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking StudyMultimodal LLMs / vision-language models → Medical vision-language models
- Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative CodingLLM agents and tool use → Social simulation and multi-agent debate
- Mixture of Experts in Large Language ModelsMixture-of-experts → MoE large language models
- Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV DeconflictionDeep reinforcement learning methods → RL for robot navigation and UAV control
- Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across ModalitiesLLM reasoning → Reasoning for agents, planning and code +2
- Assessing Color Vision Test in Large Vision-language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Latent Space Consistency for Sparse-View CT ReconstructionDiffusion models → Medical imaging and segmentation
- What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten RequestsLLM safety and security → Machine unlearning
- MSA at ImageCLEF 2025 Multimodal Reasoning: Multilingual Multimodal Reasoning With Ensemble Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMsLLM safety and security → Backdoor and data poisoning attacks
- KptLLM++: Towards Generic Keypoint Comprehension with Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMsEfficient LLM inference and serving → Diffusion LLM and MoE inference +1
- MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic TestingLLM safety and security → Backdoor and data poisoning attacks
- Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based CommanderMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Personalized Exercise Recommendation with Semantically-Grounded Knowledge TracingDeep reinforcement learning methods → RL training of language and agent models
- Relative Entropy Pathwise Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based AdaptationLLM reasoning → Spatial and embodied reasoning
- ILCL: Inverse Logic-Constraint Learning from Temporally Constrained DemonstrationsOffline RL and imitation learning from data → Inverse reinforcement learning
- Adaptive Policy Synchronization for Scalable Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Teach Me Sign: Stepwise Prompting LLM for Sign Language ProductionLLM reasoning → Reasoning benchmarks and evaluation
- DS@GT at eRisk 2025: From prompts to predictions, benchmarking early depression detection with conversational agent based assessments and temporal attention modelsLLM agents and tool use → Medical and scientific domain agents
- Robust ID-Specific Face Restoration via Alignment LearningDiffusion models → Inverse problems and image restoration
- Artificial Finance: How AI Thinks About MoneyLLM reasoning → Reasoning for agents, planning and code
- Enhancing Safe and Controllable Protein Generation via Knowledge Preference OptimizationLLM alignment / RLHF / preference optimisation → Preference optimization for molecular design
- A Learning Framework For Cooperative Collision Avoidance of UAV Swarms Leveraging Domain KnowledgeDeep reinforcement learning methods → RL for robot navigation and UAV control
- Lessons Learned from Evaluation of LLM based Multi-agents in Safer Therapy RecommendationLLM agents and tool use → Medical and scientific domain agents
- Object-Centric Mobile Manipulation through SAM2-Guided Perception and Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- How to Protect Models against Adversarial Unlearning?LLM safety and security → Machine unlearning
- A Comprehensive Analysis of Churn Prediction in Telecommunications Using Machine Learning
- EthicAlly: a Prototype for AI-Powered Research Ethics Support for the Social Sciences and Humanities
- A Residual Guided strategy with Generative Adversarial Networks in training Physics-Informed Transformer Networks
- A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection
- DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver
- FedFlex: Federated Learning for Diverse Netflix Recommendations
- Evaluating Speech-to-Text x LLM x Text-to-Speech Combinations for AI Interview Systems
- Towards Robust Speech Recognition for Jamaican Patois Music Transcription
- Exploring the Limitations of kNN Noisy Feature Detection and Recovery for Self-Driving Labs
- An open dataset of neural networks for hypernetwork research
- Small Edits, Big Consequences: Telling Good from Bad Robustness in Large Language Models
- Let's Measure the Elephant in the Room: Facilitating Personalized Automated Analysis of Privacy Policies at Scale
- PRATA: A Framework to Enable Predictive QoS in Vehicular Networks via Artificial Intelligence
- Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design
- A Comprehensive Benchmark for Electrocardiogram Time-Series
- Using Multiple Input Modalities Can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery
- Context-Based Fake News Detection using Graph Based Approach: ACOVID-19 Use-case
- SAFT: Structure-Aware Fine-Tuning of LLMs for AMR-to-Text Generation
- A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects
- StructInbet: Integrating Explicit Structural Guidance into Inbetween Frame Generation
- Differentially Private Conformal Prediction via Quantile Binary Search
- MR-LDM -- The Merge-Reactive Longitudinal Decision Model: Game Theoretic Human Decision Modeling for Interactive Sim Agents
- Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
- Physically Based Neural LiDAR Resimulation
- On multiagent online problems with predictions
- Fragment size density estimator for shrinkage-induced fracture based on a physics-informed neural network
- Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
- Simulated Language Acquisition in a Biologically Realistic Model of the Brain
- Survey of Swarm Intelligence Approaches to Search Documents Based On Semantic Similarity
- EEG Foundation Models: A Critical Review of Current Progress and Future Directions
- Inference on Optimal Policy Values and Other Irregular Functionals via Softmax Smoothing
All 305
- Predicting Delayed Trajectories Using Network Features: A Study on the Dutch Railway Network
- Challenges in GenAI and Authentication: a scoping review
- Small Data Explainer -- The impact of small data methods in everyday life
- LLMs are Bayesian, In Expectation, Not in Realization
- AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
- Fiducial Matching: Differentially Private Inference for Categorical Data
- Torsional-GFN: a conditional conformation generator for small molecules
- A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
- Survey of Genetic and Differential Evolutionary Algorithm Approaches to Search Documents Based On Semantic Similarity
- CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks
- Sparse Identification of Nonlinear Dynamics with Conformal Prediction
- Auto-Formulating Dynamic Programming Problems with Large Language Models
- ClarifAI: Enhancing AI Interpretability and Transparency through Case-Based Reasoning and Ontology-Driven Approach for Improved Decision-Making
- Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
- Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis
- Globalization for Scalable Short-term Load Forecasting
- Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure
- Barycentric model aggregation in the Wasserstein space of distributions and a variational approach to consistency
- Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer
- Subgraph Generation for Generalizing on Out-of-Distribution Links
- Time series classification of satellite data using LSTM networks: an approach for predicting leaf-fall to minimize railroad traffic disruption
- ExpliCIT-QA: Explainable Code-Based Image Table Question Answering
- Galaxy image simplification using Generative AI
- The Impact of Coreset Selection on Spurious Correlations and Group Robustness
- Composing Linear Layers from Irreducibles
- MetaLint: Easy-to-Hard Generalization for Code Linting
- PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training
- Partitioner Guided Modal Learning Framework
- STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics
- Counting Answer Sets of Disjunctive Answer Set Programs
- VISTA: Monocular Segmentation-Based Mapping for Appearance and View-Invariant Global Localization
- ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
- Tracing the Path to Grokking: Embeddings, Dropout, and Network Activation
- Posture-Driven Action Intent Inference for Playing style and Fatigue Assessment
- Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders
- JSQA: Speech Quality Assessment with Perceptually-Inspired Contrastive Pretraining Based on JND Audio Pairs
- Cross-lingual Few-shot Learning for Persian Sentiment Analysis with Incremental Adaptation
- A Roadmap for Climate-Relevant Robotics Research
- HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways
- Learning Representations of Event Time Series with Sparse Autoencoders for Anomaly Detection, Similarity Search, and Unsupervised Classification
- AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce
- A Study on the Application of Artificial Intelligence in Ecological Design
- Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques
- Einstein Fields: A Neural Perspective To Computational General Relativity
- SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
- What cat is that? A re-id model for feral cats
- Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators
- Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation
- SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery
- Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
- Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation
- Streaming 4D Visual Geometry Transformer
- How Many Instructions Can LLMs Follow at Once?
- Canonical Bayesian Linear System Identification
- CharaConsist: Fine-Grained Consistent Character Generation
- Langevin Flows for Modeling Neural Latent Dynamics
- DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
- CATVis: Context-Aware Thought Visualization
- Recursive Bound-Constrained AdaGrad with Applications to Multilevel and Domain Decomposition Minimization
- Real-World Summarization: When Evaluation Reaches Its Limits
- ELK: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques
- COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation
- Exploring the robustness of TractOracle methods in RL-based tractography
- 3C-FBI: A Combinatorial method using Convolutions for Circle Fitting in Blurry Images
- D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data
- Modeling Code: Is Text All You Need?
- Elevating 3D Models: High-Quality Texture and Geometry Refinement from a Low-Quality Model
- Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent
- LRMR: LLM-Driven Relational Multi-node Ranking for Lymph Node Metastasis Assessment in Rectal Cancer
- COLI: A Hierarchical Efficient Compressor for Large Images
- Data Augmentation in Time Series Forecasting through Inverted Framework
- Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
- FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning
- Better Regret Rates in Bilateral Trade via Sublinear Budget Violation
- U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
- Seq vs Seq: An Open Suite of Paired Encoders and Decoders
- Robust-Multi-Task Gradient Boosting
- DCR: Quantifying Data Contamination in LLMs Evaluation
- Stochastic Entanglement Configuration for Constructive Entanglement Topologies in Quantum Machine Learning with Application to Cardiac MRI
- The model is the message: Lightweight convolutional autoencoders applied to noisy imaging data for planetary science and astrobiology
- A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning
- From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties
- Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning
- Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss
- From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies
- Attributes Shape the Embedding Space of Face Recognition Models
- Characterizing Nash Equilibria in Zero-Sum Games: A Physics-Inspired, Parallelizable Approach with a Linear Number of Gradient Queries
- What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models
- Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces
- Acting and Planning with Hierarchical Operational Models on a Mobile Robot: A Study with RAE+UPOM
- UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
- CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking
- MonoMVSNet: Monocular Priors Guided Multi-View Stereo Network
- SystolicAttention: Fusing FlashAttention within a Single Systolic Array
- Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge
- Quantitative multi-metabolite imaging of Parkinson's disease using AI boosted molecular MRI
- HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
- Contestability in Quantitative Argumentation
- A Mixed-Primitive-based Gaussian Splatting Method for Surface Reconstruction
- All Eyes, no IMU: Learning Flight Attitude from Vision Alone
- Detecci'on y Cuantificaci'on de Erosi'on Fluvial con Visi'on Artificial
- 3D Magnetic Inverse Routine for Single-Segment Magnetic Field Images
- Fine-Grained Chinese Hate Speech Understanding: Span-Level Resources, Coded Term Lexicon, and Enhanced Detection Frameworks
- Opus: A Prompt Intention Framework for Complex Workflow Generation
- Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
- Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping
- Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime
- YOLOatr : Deep Learning Based Automatic Target Detection and Localization in Thermal Infrared Imagery
- LyAm: Robust Non-Convex Optimization for Stable Learning in Noisy Environments
- ViewSRD: 3D Visual Grounding via Structured Multi-View Decomposition
- MFGDiffusion: Mask-Guided Smoke Synthesis for Enhanced Forest Fire Detection
- Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone
- Generative Click-through Rate Prediction with Applications to Search Advertising
- NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation
- Improved sampling algorithms and functional inequalities for non-log-concave distributions
- DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
- Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere?
- EsBBQ and CaBBQ: The Spanish and Catalan Bias Benchmarks for Question Answering
- A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition
- Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis
- Data-Driven Differential Evolution in Tire Industry Extrusion: Leveraging Surrogate Models
- Striking the Perfect Balance: Preserving Privacy While Boosting Utility in Collaborative Medical Prediction Platforms
- Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
- Quantized Rank Reduction: A Communications-Efficient Federated Learning Scheme for Network-Critical Applications
- A Gradient-based Causal Discovery Framework with Applications to Complex Industrial Processes
- An Interpretable AI framework Quantifying Traditional Chinese Medicine Principles Towards Enhancing and Integrating with Modern Biomedicine
- Clustering-Guided Multi-Layer Contrastive Representation Learning for Citrus Disease Classification
- Improving Wi-Fi Network Performance Prediction with Deep Learning Models
- How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
- Fine-grained Timing Analysis of Digital Integrated Circuits in Answer Set Programming
- RMAU-NET: A Residual-Multihead-Attention U-Net Architecture for Landslide Segmentation and Detection from Remote Sensing Images
- Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking
- Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection
- Collaborative Trustworthiness for Good Decision Making in Autonomous Systems
- MMOne: Representing Multiple Modalities in One Scene
- Defining neurosymbolic AI
- Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-ID
- AI Agent Architecture for Decentralized Trading of Alternative Assets
- Jellyfish Species Identification: A CNN Based Artificial Neural Network Approach
- A Mathematical Optimization Approach to Multisphere Support Vector Data Description
- A Survey on Interpretability in Visual Recognition
- EditGen: Harnessing Cross-Attention Control for Instruction-Based Auto-Regressive Audio Editing
- Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification
- Atmos-Bench: 3D Atmospheric Structures for Climate Insight
- Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach
- Function-to-Style Guidance of LLMs for Code Translation
- Automatic Road Subsurface Distress Recognition from Ground Penetrating Radar Images using Deep Learning-based Cross-verification
- GKNet: Graph-based Keypoints Network for Monocular Pose Estimation of Non-cooperative Spacecraft
- Joint angle based learning to refine kinematic human pose estimation
- LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection
- TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update
- Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems
- A Distance Metric for Mixed Integer Programming Instances
- Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling
- SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks
- Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities
- Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
- GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices
- LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP
- Journalism-Guided Agentic In-Context Learning for News Stance Detection
- Combining Transformers and CNNs for Efficient Object Detection in High-Resolution Satellite Imagery
- A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion
- Efficient Dual-domain Image Dehazing with Haze Prior Perception
- Personalized OVSS: Understanding Personal Concept in Open-Vocabulary Semantic Segmentation
- Human-Guided Shade Artifact Suppression in CBCT-to-MDCT Translation via Schr"odinger Bridge with Conditional Diffusion
- First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
- Semantically Informed Salient Regions Guided Radiology Report Generation
- Leveraging Advanced Machine Learning to Predict Turbulence Dynamics from Temperature Observations at an Experimental Prescribed Fire
- AdaMuon: Adaptive Muon Optimizer
- Team HUMANE at AVeriTeC 2025: HerO 2 for Efficient Fact Verification
- Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection
- SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition
- Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data
- Mario at EXIST 2025: A Simple Gateway to Effective Multilingual Sexism Detection
- Misalignment from Treating Means as Ends
- Modeling Habitat Shifts: Integrating Convolutional Neural Networks and Tabular Data for Species Migration Prediction
- StellarF: A Physics-Informed LoRA Framework for Stellar Flare Forecasting with Historical & Statistical Data
- Pronunciation Deviation Analysis Through Voice Cloning and Acoustic Comparison
- Physics-Informed Neural Networks For Semiconductor Film Deposition: A Review
- Mind the Gap: Bridging Occlusion in Gait Recognition via Residual Gap Correction
- Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection
- Women Sport Actions Dataset for Visual Classification Using Small Scale Training Data
- Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction
- Modeling Understanding of Story-Based Analogies Using Large Language Models
- GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering
- Diffusion Decoding for Peptide De Novo Sequencing
- Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures
- Graph Aggregation Prototype Learning for Semantic Change Detection in Remote Sensing
- GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
- Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models
- HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training
- How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations
- Class-Proportional Coreset Selection for Difficulty-Separable Data
- LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning
- MalCodeAI: Autonomous Vulnerability Detection and Remediation via Language Agnostic Code Reasoning
- Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition
- NavComposer: Composing Language Instructions for Navigation Trajectories through Action-Scene-Object Modularization
- Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency
- Outbound Modeling for Inventory Management
- Learning from Imperfect Data: Robust Inference of Dynamic Systems using Simulation-based Generative Model
- Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes
- Domain-Adaptive Small Language Models for Structured Tax Code Prediction
- BioScore: A Foundational Scoring Function For Diverse Biomolecular Complexes
- GALDS: A Graph-Autoencoder-based Latent Dynamics Surrogate model to predict neurite material transport
- Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification