Papers
Tue 26 Aug 2025
357 papers
- ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse AutoencodersMechanistic interpretability → Interpreting biomedical and science models
- Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware GenerationLLM reasoning → Test-time compute and efficient thinking
- ChipChat: Low-Latency Cascaded Conversational Agent in MLXLLM agents and tool use → General LLM agent frameworks and benchmarks
- Test of Time: Rethinking Temporal Signal of Benchmark ContaminationLLM reasoning → Test-time compute and efficient thinking
- Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete DiffusionDiffusion models → 3D, point cloud and scene generation
- QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programmingLLM agents and tool use → Medical and scientific domain agents
- ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar ArgumentationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Gentle Object Retraction in Dense Clutter Using Multimodal Force Sensing and Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Reliable Weak-to-Strong Monitoring of LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- The Sample Complexity of Membership Inference and Privacy AuditingLLM safety and security → Membership inference attacks
- Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies)Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Fine-Tuning Vision-Language Models for Neutrino Event Analysis in High-Energy Physics ExperimentsLLM reasoning → Multimodal reasoning +1
- HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts InferenceMixture-of-experts → Efficient MoE training and inference systems
- Grounding the Ungrounded: A Spectral-Graph Framework for Quantifying Hallucinations in Multimodal LLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- LongReasonArena: A Long Reasoning Benchmark for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space ArchitectureState-space sequence models (S4, Mamba) → Physiological signal modeling
- Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event ExtractionLLM agents and tool use → Agent memory systems
- Context-Adaptive Synthesis and Compression for Enhanced Retrieval-Augmented Generation in Complex DomainsRetrieval-augmented generation → Generation and context integration
- Re:Frame -- Retrieving Experience From Associative MemoryOffline RL and imitation learning from data → Offline RL algorithms +1
- AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-raysLLM agents and tool use → Medical and scientific domain agents
- (DEMO) Deep Reinforcement Learning Based Resource Allocation in Distributed IoT SystemsDeep reinforcement learning methods → RL for energy, networks and operations
- Model Context Protocols in Adaptive Transport Systems: A SurveyLLM agents and tool use → Tool learning and function calling
- MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Understanding Tool-Integrated ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- The Ramon Llull's Thinking Machine for Automated IdeationLLM reasoning → Reasoning benchmarks and evaluation
- All-in-One Slider for Attribute Manipulation in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluationLLM agents and tool use → Medical and scientific domain agents
- RDDM: Practicing RAW Domain Diffusion Model for Real-world Image RestorationDiffusion models → Inverse problems and image restoration
- QuadKAN: KAN-Enhanced Quadruped Motion Control via End-to-End Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Active Query Selection for Crowd-Based Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Hybrid Deep Searcher: Scalable Parallel and Sequential Search ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Composition and Alignment of Diffusion Models using Constrained LearningDiffusion models → Diffusion foundations and sampling
- Reasoning LLMs in the Medical Domain: A Literature SurveyLLM reasoning → Clinical and biomedical applications
- Trustworthy Agents for Electronic Health Records through Confidence EstimationLLM agents and tool use → Medical and scientific domain agents
- Retrieval-Augmented Generation for Natural Language Art Provenance Searches in the Getty Provenance IndexRetrieval-augmented generation → Multimodal RAG
- Federated Fine-Tuning of Sparsely-Activated Large Language Models on Resource-Constrained DevicesMixture-of-experts → Federated mixture-of-experts
- HiPlan: Hierarchical Planning for LLM-Based Agents with Adaptive Global-Local GuidanceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Attackers Strike Back? Not Anymore -- An Ensemble of RL Defenders Awakens for APT DetectionDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Tackling Federated Unlearning as a Parameter Estimation ProblemLLM safety and security → Federated unlearning and poisoning
- A Concurrent Modular Agent: Framework for Autonomous LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Investigating Advanced Reasoning of Large Language Models via Black-Box Environment InteractionLLM reasoning → Reasoning benchmarks and evaluation
- MovieCORE: COgnitive REasoning in MoviesLLM reasoning → Multimodal reasoning +1
- GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository LeveragingLLM agents and tool use → Software engineering coding agents
- Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin ToneMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Interpretable by AI Mother Tongue: Native Symbolic Reasoning in Neural ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Enhancing Document VQA Models via Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert SubstitutionMixture-of-experts → Efficient MoE training and inference systems
- Energy-Based Flow Matching for Generating 3D Molecular StructureDiffusion models → Flow matching, time series and science
- Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent frameworkRetrieval-augmented generation → Privacy and security of RAG +2
- Interpretable Decision-Making for End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Challenges for Generative AI in Legal ReasoningLLM reasoning → Reasoning for agents, planning and code
- DRMD: Deep Reinforcement Learning for Malware Detection under Concept DriftDeep reinforcement learning methods → Adversarial robustness and RL in finance
- On the Application of Diffusion Models for Simultaneous Denoising and DereverberationDiffusion models → Audio, speech and music
- Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and CorrectnessLLM reasoning → Mathematical reasoning +1
- Learning Acrobatic Flight from PreferencesDeep reinforcement learning methods → RL for robot navigation and UAV control
- STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate ReasoningLLM reasoning → LLM reasoning for recommendation +1
- Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative TasksLLM agents and tool use → Reinforcement learning for LLM agents
- Harnessing Rule-Based Reinforcement Learning for Enhanced Grammatical Error CorrectionDeep reinforcement learning methods → RL training of language and agent models
- ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic UnitsLLM reasoning → Test-time compute and efficient thinking
- Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context LearningMixture-of-experts → MoE large language models
- CrossHOI-Bench: A Unified Benchmark for HOI Evaluation across Vision-Language Models and HOI-Specific MethodsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Chronological Passage Assembling in RAG framework for Temporal Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- CAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive TasksLLM reasoning → Prompting and chain-of-thought reasoning +1
- Stability and Generalization for Bellman ResidualsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +2
- Rethinking Caching for LLM Serving Systems: Beyond Traditional HeuristicsLLM reasoning → Test-time compute and efficient thinking +1
- Bias Mitigation Agent: Optimizing Source Selection for Fair and Balanced Knowledge RetrievalLLM agents and tool use → Web, search, and research agents
- VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for MinecraftLLM agents and tool use → Reinforcement learning for LLM agents
- AppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User AssistanceLLM agents and tool use → GUI and mobile agents
- Utilizing Training Data to Improve LLM Reasoning for Tabular UnderstandingLLM reasoning → Knowledge- and tool-augmented reasoning
- Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent VisionLLM agents and tool use → Software engineering coding agents
- Tailored Teaching with Balanced Difficulty: Elevating Reasoning in Multimodal Chain-of-Thought via Prompt CurriculumLLM reasoning → Prompting and chain-of-thought reasoning
- Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning TasksLLM reasoning → Test-time compute and efficient thinking +1
- Auditing Approximate Machine Unlearning for Differentially Private ModelsLLM safety and security → Machine unlearning
- MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool useLLM agents and tool use → Reinforcement learning for LLM agents
- Membership Inference Attacks on In-Context Examples in LLM-based Recommender SystemsLLM safety and security → Membership inference attacks
- FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous EdgeMixture-of-experts → Federated mixture-of-experts
- UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in MultimodalityLLM reasoning → Reasoning for agents, planning and code +2
- Thinking Before You Speak: A Proactive Test-time Scaling ApproachLLM reasoning → Reasoning benchmarks and evaluation
- RLMR: Reinforcement Learning with Mixed Rewards for Creative WritingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided ReasoningLLM reasoning → Time series reasoning
- Decouple, Reorganize, and Fuse: A Multimodal Framework for Cancer Survival PredictionMixture-of-experts → Medical and biomedical MoE
- Bias-Adjusted LLM Agents for Human-Like Decision-Making via Behavioral EconomicsLLM agents and tool use → Social simulation and multi-agent debate
- What do language models model? Transformers, automata, and the format of thoughtLLM reasoning → Reasoning benchmarks and evaluation
- SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene SynthesisDiffusion models → 3D, point cloud and scene generation
- History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRLLLM reasoning → Reinforcement learning for reasoning
- DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language ModelLLM reasoning → Clinical and biomedical applications
- Strata: Hierarchical Context Caching for Long Context Language Model ServingEfficient LLM inference and serving → KV cache optimization
- The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Development and Evaluation of an AI-Driven Telemedicine System for Prenatal Healthcare
- A Masked Representation Learning to Model Cardiac Functions Using Multiple Physiological Signals
- Topic Identification in LLM Input-Output Pairs through the Lens of Information Bottleneck
- Real-Time Detection of Hallucinated Entities in Long-Form Generation
- Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for UAV-Based Wildlife Protection
All 357
- Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies
- Wrong Face, Wrong Move: The Social Dynamics of Emotion Misperception in Agent-Based Models
- Amplifying Emotional Signals: Data-Efficient Deep Learning for Robust Speech Emotion Recognition
- Experimental Assessment of a Multi-Class AI/ML Architecture for Real-Time Characterization of Cyber Events in a Live Research Reactor
- Language and Experience: A Computational Model of Social Learning in Complex Tasks
- Mitigating Clinician Information Overload: Generative AI for Integrated EHR and RPM Data Analysis
- SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits
- AnomalyExplainer Explainable AI for LLM-based anomaly detection using BERTViz and Captum
- The Collaborations among Healthcare Systems, Research Institutions, and Industry on Artificial Intelligence Research and Development
- T-MLP: Tailed Multi-Layer Perceptron for Level-of-Detail Signal Representation
- Hybrid Perception and Equivariant Diffusion for Robust Multi-Node Rebar Tying
- OpenTie: Open-vocabulary Sequential Rebar Tying System
- MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Revision
- Quantum-inspired probability metrics define a complete, universal space for statistical learning
- Granite Embedding R2 Models
- Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
- CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples
- Data-Efficient Point Cloud Semantic Segmentation Pipeline for Unimproved Roads
- Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety
- A Machine Learning Approach to Volumetric Computations of Solid Pulmonary Nodules
- MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space
- Improving Low-Resource Translation with Dictionary-Guided Fine-Tuning and RL: A Spanish-to-Wayuunaiki Study
- DeepAtlas: a tool for effective manifold learning
- Concurrent validity of computer-vision artificial intelligence player tracking software using broadcast footage
- Automatic Question & Answer Generation Using Generative Large Language Model (LLM)
- SIExVulTS: Sensitive Information Exposure Vulnerability Detection System using Transformer Models and Static Analysis
- Weighted Levenberg-Marquardt methods for fitting multichannel nuclear cross section data
- Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset
- Incentivized Lipschitz Bandits
- Addressing Weak Authentication like RFID, NFC in EVs and EVCs using AI-powered Adaptive Authentication
- Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
- "She was useful, but a bit too optimistic": Augmenting Design with Interactive Virtual Personas
- Stack Trace-Based Crash Deduplication with Transformer Adaptation
- Reduced-Order Modeling of Cyclo-Stationary Time Series Using Score-Based Generative Methods
- On Surjectivity of Neural Networks: Can you elicit any behavior from your model?
- Efficiently Generating Multidimensional Calorimeter Data with Tensor Decomposition Parameterization
- Data-Augmented Few-Shot Neural Emulator for Computer-Model System Identification
- Is data-efficient learning feasible with quantum models?
- Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
- A perishable ability? The future of writing in the face of generative artificial intelligence
- MS-ConTab: Multi-Scale Contrastive Learning of Mutation Signatures for Pan Cancer Representation and Stratification
- Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure management
- Even Heads Fix Odd Errors: Mechanistic Discovery and Surgical Repair in Transformer Attention
- Kolmogorov-Arnold Representation for Symplectic Learning: Advancing Hamiltonian Neural Networks
- One Joke to Rule them All? On the (Im)possibility of Generalizing Humor
- Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding
- GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
- DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
- Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science
- Towards Quantum Machine Learning for Malicious Code Analysis
- Database Entity Recognition with Data Augmentation and Deep Learning
- Aggregate Fictitious Play for Learning in Anonymous Polymatrix Games (Extended Version)
- Inference of Human-derived Specifications of Object Placement via Demonstration
- Graph Data Modeling: Molecules, Proteins, & Chemical Processes
- Efficient Multi-Source Knowledge Transfer by Model Merging
- Memorization in Graph Neural Networks
- EffNetViTLoRA: An Efficient Hybrid Deep Learning Approach for Alzheimer's Disease Diagnosis
- Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
- PRISM: A Framework Harnessing Unsupervised Visual Representations and Textual Prompts for Explainable MACE Survival Prediction from Cardiac Cine MRI
- Deep Data Hiding for ICAO-Compliant Face Images: A Survey
- A Technical Review on Comparison and Estimation of Steganographic Tools
- An Investigation on Group Query Hallucination Attacks
- MIDAS: Multimodal Interactive Digital-humAn Synthesis via Real-time Autoregressive Video Generation
- MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction
- What Makes AI Applications Acceptable or Unacceptable? A Predictive Moral Framework
- Sycophancy as compositions of Atomic Psychometric Traits
- Automated classification of natural habitats using ground-level imagery
- Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms
- Sistema de Reconocimiento Facial Federado en Conjuntos Abiertos basado en OpenMax
- Advancements in Crop Analysis through Deep Learning and Explainable AI
- Geo2Vec: Shape- and Distance-Aware Neural Representation of Geospatial Entities
- Epistemic Trade-Off: An Analysis of the Operational Breakdown and Ontological Limits of "Certainty-Scope" in AI
- VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space
- Articulate3D: Zero-Shot Text-Driven 3D Object Posing
- Style4D-Bench: A Benchmark Suite for 4D Stylization
- Autoregressive Universal Video Segmentation Model
- Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth
- StepWiser: Stepwise Generative Judges for Wiser Reasoning
- Predicting the Order of Upcoming Tokens Improves Language Modeling
- Generative Interfaces for Language Models
- Evaluating the Evaluators: Are readability metrics good measures of readability?
- The Subset Sum Matching Problem
- Interpolating Speaker Identities in Embedding Space for Data Expansion
- OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation
- VibeVoice Technical Report
- LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding
- Planning-Query-Guided Model Generation for Model-Based Deformable Object Manipulation
- Emotions as Ambiguity-aware Ordinal Representations
- FastMesh: Efficient Artistic Mesh Generation via Component Decoupling
- Real-Time Model Checking for Closed-Loop Robot Reactive Planning
- Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness
- SoccerNet 2025 Challenges Results
- Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems
- From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity
- Beyond flattening: a geometrically principled positional encoding for vision transformers with Weierstrass elliptic functions
- Dual Enhancement on 3D Vision-Language Perception for Monocular 3D Visual Grounding
- Few-Shot Connectivity-Aware Text Line Segmentation in Historical Documents
- Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games
- Saddle Hierarchy in Dense Associative Memory
- Uncertainty-Resilient Active Intention Recognition for Robotic Assistants
- Algorithmic Collective Action with Multiple Collectives
- Echoes of the Past: A Unified Perspective on Fading memory and Echo States
- A Bag of Tricks for Efficient Implicit Neural Point Clouds
- ZeST: A VLM-based Zero-Shot Traversability Navigation for Unknown Environments
- SecureV2X: An Efficient and Privacy-Preserving System for Vehicle-to-Everything (V2X) Applications
- Random forest-based out-of-distribution detection for robust lung cancer segmentation
- Beyond the Black Box: Integrating Lexical and Semantic Methods in Quantitative Discourse Analysis with BERTopic
- VibES: Induced Vibration for Persistent Event-Based Sensing
- It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
- APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
- "Where does it hurt?" -- Dataset and Study on Physician Intent Trajectories in Doctor Patient Dialogues
- Universal Dynamics with Globally Controlled Analog Quantum Simulators
- An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees
- AEGIS: Runtime-Guided GPU Collocation for Multi-Tenant Deep Learning Training
- Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
- Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty
- Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisation
- No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
- Automated discovery of finite volume schemes using Graph Neural Networks
- Time Series Analysis of Spiking Neural Systems via Transfer Entropy and Directed Persistent Homology
- Breaking the Black Box: Inherently Interpretable Physics-Constrained Machine Learning With Weighted Mixed-Effects for Imbalanced Seismic Data
- GReAT: leveraging geometric artery data to improve wall shear stress assessment
- Revisiting associative recall in modern recurrent models
- GRADSTOP: Early Stopping of Gradient Descent via Posterior Sampling
- ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
- MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis
- Metric Matters: A Formal Evaluation of Similarity Measures in Active Learning for Cyber Threat Intelligence
- Working My Way Back to You: Resource-Centric Next-Activity Prediction
- Learning with springs and sticks
- MAB Optimizer for Estimating Math Question Difficulty via Inverse CV without NLP
- STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
- Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes
- Computational Phenomenology of Borderline Personality Disorder: A Comparative Evaluation of LLM-Simulated Expert Personas and Human Clinical Experts
- Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
- Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark
- AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms
- RoofSeg: An edge-aware transformer-based network for end-to-end roof plane segmentation
- Automatic Prompt Optimization with Prompt Distillation
- PAX-TS: Model-agnostic multi-granular explanations for time series forecasting via localized perturbations
- The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
- Understanding Benefits and Pitfalls of Current Methods for the Segmentation of Undersampled MRI Data
- Can we make NeRF-based visual localization privacy-preserving?
- Enhanced UAV Path Planning Using the Tangent Intersection Guidance (TIG) Algorithm
- USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning
- Enhancing compact convolutional transformers with super attention
- Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
- A drone-based framework for coral habitat mapping via weakly supervised segmentation
- On the Generalisation of Koopman Representations for Chaotic System Control
- Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
- Estimating Conditional Covariance between labels for Multilabel Data
- Gauge-covariant stochastic neural fields: Stability and finite-width effects
- PanoHair: Detailed Hair Strand Synthesis on Volumetric Heads
- Preliminary Study on Space Utilization and Emergent Behaviors of Group vs. Single Pedestrians in Real-World Trajectories
- VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation
- Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
- HierCVAE: Hierarchical Attention-Driven Conditional Variational Autoencoders for Multi-Scale Temporal Modeling
- Forecasting Probability Distributions of Financial Returns with Deep Neural Networks
- Generalization Bound for a General Class of Neural Ordinary Differential Equations
- Affective Polarization across European Parliaments
- FormaRL: Enhancing Autoformalization with no Labeled Data
- HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections
- Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
- SegReConcat: A Data Augmentation Method for Voice Anonymization Attack
- Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks
- Event-Enriched Image Analysis Grand Challenge at ACM Multimedia 2025
- Distance-informed Neural Processes
- Sparse minimum Redundancy Maximum Relevance for feature selection
- DQEN: Dual Query Enhancement Network for DETR-based HOI Detection
- pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data
- HAEPO: History-Aggregated Exploratory Policy Optimization
- Optimization of Latent-Space Compression using Game-Theoretic Techniques for Transformer-Based Vector Search
- MOCHA: Discovering Multi-Order Dynamic Causality in Temporal Point Processes
- Empowering Computing Education Researchers Through LLM-Assisted Content Analysis
- ReflectivePrompt: Reflective evolution in autoprompting algorithms
- C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning
- Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization
- ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
- ConfTuner: Training Large Language Models to Express Their Confidence Verbally
- Recycling History: Efficient Recommendations from Contextual Dueling Bandits
- Quantitative Outcome-Oriented Assessment of Microsurgical Anastomosis
- Quantum-Circuit-Based Visual Fractal Image Generation in Qiskit and Analytics
- Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression
- Automated Classification of Normal and Atypical Mitotic Figures Using ConvNeXt V2: MIDOG 2025 Track 2
- Assessing the Effectiveness of Deep Embeddings for Tree Species Classification in the Dutch Forest Inventory
- SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation
- Embedding Font Impression Word Tags Based on Co-occurrence
- LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection
- Temperature-Aware Recurrent Neural Operator for Temperature-Dependent Anisotropic Plasticity in HCP Materials
- A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
- Robust and Label-Efficient Deep Waste Detection
- LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination
- A Closer Look at Edema Area Segmentation in SD-OCT Images Using Adversarial Framework
- PseudoMapTrainer: Learning Online Mapping without HD Maps
- Design, Implementation and Evaluation of a Real-Time Remote Photoplethysmography (rPPG) Acquisition System for Non-Invasive Vital Sign Monitoring
- EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding
- Insights into User Interface Innovations from a Design Thinking Workshop at deRSE25
- Controllable Conversational Theme Detection Track at DSTC 12
- Long-Term Variability in Physiological-Arousal Relationships for Robust Emotion Estimation
- AniME: Adaptive Multi-Agent Planning for Long Animation Generation
- Federated Learning with Heterogeneous and Private Label Sets
- Beyond the Textual: Generating Coherent Visual Options for MCQs
- Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits
- Predicting Drug-Drug Interactions Using Heterogeneous Graph Neural Networks: HGNN-DDI
- Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement
- Text to Query Plans for Question Answering on Large Tables
- Stabilizing Open-Set Test-Time Adaptation via Primary-Auxiliary Filtering and Knowledge-Integrated Prediction
- Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution
- Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming
- M3HG: Multimodal, Multi-scale, and Multi-type Node Heterogeneous Graph for Emotion Cause Triplet Extraction in Conversations
- Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models
- FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks
- SkyTrust: Blockchain-Enhanced UAV Security for NTNs with Dynamic Trust and Energy-Aware Consensus
- Improving Noise Robust Audio-Visual Speech Recognition via Router-Gated Cross-Modal Feature Fusion
- Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings
- Cross-Learning Fine-Tuning Strategy for Dysarthric Speech Recognition Via CDSD database
- Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning
- Are All Marine Species Created Equal? Performance Disparities in Underwater Object Detection
- Flatness-aware Curriculum Learning via Adversarial Difficulty
- Class-wise Flooding Regularization for Imbalanced Image Classification
- Natural Image Classification via Quasi-Cyclic Graph Ensembles and Random-Bond Ising Models at the Nishimori Temperature
- EMMM, Explain Me My Model! Explainable Machine Generated Text Detection in Dialogues
- Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation
- Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
- Enhancing Video-Based Robot Failure Detection Using Task Knowledge
- Data-Driven Discovery and Formulation Refines the Quasi-Steady Model of Flapping-Wing Aerodynamics
- Attention2Probability: Attention-Driven Terminology Probability Estimation for Robust Speech-to-Text System
- Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training
- Lightweight posterior construction for gravitational-wave catalogs with the Kolmogorov-Arnold network
- ColorGS: High-fidelity Surgical Scene Reconstruction with Colored Gaussian Splatting
- A Novel Deep Hybrid Framework with Ensemble-Based Feature Optimization for Robust Real-Time Human Activity Recognition
- AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robot
- Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency
- End to End Autoencoder MLP Framework for Sepsis Prediction
- Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
- FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection
- Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos
- SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
- Empathy Omni: Enabling Empathetic Speech Response Generation through Large Language Models
- The Sound of Risk: A Multimodal Physics-Informed Acoustic Model for Forecasting Market Volatility and Enhancing Market Interpretability
- Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models
- Beyond Benchmarks: LLM Evaluation with an Anthropomorphic and Lifecycle-oriented Roadmap
- Clustering-based Feature Representation Learning for Oracle Bone Inscriptions Detection
- Biologically Disentangled Multi-Omic Modeling Reveals Mechanistic Insights into Pan-Cancer Immunotherapy Resistance
- LaQual: An Automated Framework for LLM App Quality Evaluation
- OwlCap: Harmonizing Motion-Detail for Video Captioning via HMD-270K and Caption Set Equivalence Reward
- ROSE: Remove Objects with Side Effects in Videos
- Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
- Wan-S2V: Audio-Driven Cinematic Video Generation
- ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging
- Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets
- Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets
- Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
- eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases
- A New NMT Model for Translating Clinical Texts from English to Spanish
- Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
- Linear Trading Position with Sparse Spectrum
- A Case Study on the Effectiveness of LLMs in Verification with Proof Assistants