Papers
Mon 7 Jul 2025
371 papers
- Exploring Agentic Artificial Intelligence Systems: Towards a Typological FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language ModelsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- wd1: Weighted Policy Optimization for Reasoning in Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM DecodingEfficient LLM inference and serving → KV cache optimization
- Towards Solving More Challenging IMO Problems via Decoupled Reasoning and ProvingLLM reasoning → Mathematical reasoning
- SPARC: Concept-Aligned Sparse Autoencoders for Cross-Model and Cross-Modal InterpretabilityMechanistic interpretability → Interpreting vision and multimodal models
- Red Teaming AI Red TeamingLLM safety and security → Prompt injection and agent security
- Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality AssessmentLLM agents and tool use → Educational agents and math problem solving
- Architecting Clinical Collaboration: Multi-Agent Reasoning Systems for Multimodal Medical VQALLM reasoning → Clinical and biomedical applications +1
- LEGO Co-builder: Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly AssistantsLLM reasoning → Spatial and embodied reasoning +1
- Cloud Diffusion Part 1: Theory and MotivationDiffusion models → Diffusion foundations and sampling
- Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- Epistemically-guided forward-backward explorationDeep reinforcement learning methods → Deep RL algorithms and representations
- 2048: Reinforcement Learning in a Delayed Reward EnvironmentDeep reinforcement learning methods → Deep RL algorithms and representations
- A Systematization of Security Vulnerabilities in Computer Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- "Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Learn Globally, Speak Locally: Bridging the Gaps in Multilingual ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Neural-Driven Image EditingDiffusion models → Medical imaging and segmentation
- pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case StudyLLM reasoning → Test-time compute and efficient thinking
- A Careful Examination of Large Behavior Models for Multitask Dexterous ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM AgentsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Going Beyond Heuristics by Imposing Policy Improvement as a ConstraintDeep reinforcement learning methods → Deep RL algorithms and representations
- AGACCI : Affiliated Grading Agents for Criteria-Centric Interface in Educational Coding ContextsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Beyond Simple Edits: X-Planner for Complex Instruction-Based Image EditingDiffusion models → Image generation, text-to-image and editing
- Spatio-Temporal LLM: Reasoning about Environments and ActionsLLM reasoning → Spatial and embodied reasoning +1
- Evaluating Memory in LLM Agents via Incremental Multi-Turn InteractionsLLM agents and tool use → Agent memory systems
- Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual ReasoningLLM reasoning → Multimodal reasoning
- Action Space Reduction Strategies for Reinforcement Learning in Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Response Attack: Exploiting Contextual Priming to Jailbreak Large Language ModelsLLM safety and security → Jailbreaking
- When Chain of Thought is Necessary, Language Models Struggle to Evade MonitorsLLM reasoning → Prompting and chain-of-thought reasoning
- StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context ModelingEfficient LLM inference and serving → Visual token pruning in multimodal models
- NavigScene: Bridging Local Perception and Global Navigation for Beyond-Visual-Range Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World ModelingWorld models → Embodied and robot world models
- Pre-Trained Policy Discriminators are General Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural NetworksMixture-of-experts → MoE theory and gating functions
- From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity ExplanationsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at ScaleLLM agents and tool use → General LLM agent frameworks and benchmarks
- Critique of World ModelWorld models → World models for language agents
- SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion ModelDiffusion models → Medical imaging and segmentation
- VERITAS: Verification and Explanation of Realness in Images for Transparency in AI SystemsDiffusion models → Image generation, text-to-image and editing
- SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty PredictionLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- VOTE: Vision-Language-Action Optimization with Trajectory Ensemble VotingVision-language-action models → Generalist VLA models and benchmarks
- CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset SeparationLLM safety and security → Backdoor and data poisoning attacks
- The Hidden Threat in Plain Text: Attacking RAG Data LoadersRetrieval-augmented generation → Privacy and security of RAG
- MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head GenerationDiffusion models → Audio, speech and music
- ICAS: Detecting Training Data from Autoregressive Image Generative ModelsLLM safety and security → Membership inference attacks
- Replacing thinking with tool usage enables reasoning in small language modelsLLM reasoning → Reasoning for agents, planning and code
- INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance SamplingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MoLink: Distributed and Efficient Serving Framework for Large ModelsEfficient LLM inference and serving → Serving systems and request scheduling
- A Generative Diffusion Model for Amorphous MaterialsDiffusion models → Flow matching, time series and science
- DARIL: When Imitation Learning outperforms Reinforcement Learning in Surgical Action PlanningWorld models → Medical and surgical world models +2
- TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame InterpolationDiffusion models → Video generation
- Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Taming the Tri-Space Tension: ARC-Guided Hallucination Modeling and Control for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understandingLLM reasoning → Hallucination detection and mitigation +1
- Object-centric Denoising Diffusion Models for Physical ReasoningDiffusion models → Discrete and text diffusion
- HumanVideo-MME: Benchmarking MLLMs for Human-Centric Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- When do World Models Successfully Learn Dynamical Systems?World models → Latent predictive world models
- MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity PredictionLLM reasoning → Reasoning for agents, planning and code +1
- Fine-tuning on simulated data outperforms prompting for agent tone of voiceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Building Open-Retrieval Conversational Question Answering Systems by Generating Synthetic Data and Decontextualizing User QuestionsSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- SHARP: Shared State Reduction for Efficient Matching of Sequential PatternsRetrieval-augmented generation → Generation and context integration
- NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node ClassificationMixture-of-experts → MoE for time series and graphs
- Music Boomerang: Reusing Diffusion Models for Data Augmentation and Audio ManipulationDiffusion models → Audio, speech and music
- Semantically Consistent Discrete Diffusion for 3D Biological Graph ModelingDiffusion models → Medical imaging and segmentation
- RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint ExtractionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Discrete Diffusion Trajectory Alignment via Stepwise DecompositionDiffusion models → Flow matching, time series and science +1
- Training-free Generation of Temporally Consistent Rewards from VLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Reason to Rote: Rethinking Memorization in ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Efficient Unlearning with Privacy GuaranteesLLM safety and security → Machine unlearning
- FurniMAS: Language-Guided Furniture Decoration using Multi-Agent SystemLLM agents and tool use → Multimodal and embodied agents
- ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics ProblemsLLM reasoning → Spatial and embodied reasoning
- Activation Steering for Chain-of-Thought CompressionLLM reasoning → Test-time compute and efficient thinking +1
- Vision-Language Models Can't See the ObviousMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- An analysis of vision-language models for fabric retrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- CueLearner: Bootstrapping and local policy adaptation from relative feedbackDeep reinforcement learning methods → RL training of language and agent models
- Backdoors in Conditional Diffusion: Threats to Responsible Synthetic Data PipelinesDiffusion models → Robustness, privacy and adversarial aspects +1
- Who's the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel OptimizationRetrieval-augmented generation → Agentic RAG, agents and memory
- A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual SetsLLM reasoning → Multimodal reasoning +1
- Interpretable Reward Modeling with Active Concept BottlenecksLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Structure-Guided Diffusion Models for High-Fidelity Portrait Shadow RemovalDiffusion models → 3D, point cloud and scene generation
- Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving DistillationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant MessageLLM safety and security → Jailbreaking
- VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in RoboticsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- SOSAE: Self-Organizing Sparse AutoEncoderMechanistic interpretability → Sparse autoencoder training and evaluation
- MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- PRISM: Pointcloud Reintegrated Inference via Segmentation and Cross-attention for ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?LLM reasoning → Reinforcement learning for reasoning
- Learning Robust Stereo Matching in the Wild with Selective Mixture-of-ExpertsMixture-of-experts → Vision mixture-of-experts
- Learn 3D VQA Better with Active Selection and ReannotationLLM reasoning → Spatial and embodied reasoning
- Information-Guided Diffusion Sampling for Dataset DistillationDiffusion models → Diffusion foundations and sampling
- PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought ProcessLLM reasoning → Reinforcement learning for reasoning
- Accelerated Online Reinforcement Learning using Auxiliary Start State DistributionsDeep reinforcement learning methods → Deep RL algorithms and representations
- S2Edit: Text-Guided Image Editing with Precise Semantic and Spatial ControlDiffusion models → Image generation, text-to-image and editing
- Accelerating GenAI Workloads by Enabling RISC-V Microkernel Support in IREE
All 371
- iLSU-T: an Open Dataset for Uruguayan Sign Language Translation
- Analise Semantica Automatizada com LLM e RAG para Bulas Farmaceuticas
- Assessing the Ecological Impact of AI
- Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges
- Complex Dynamics in Psychological Data: Mapping Individual Symptom Trajectories to Group-Level Patterns
- FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance
- AI Mother Tongue: Self-Emergent Communication in MARL via Endogenous Symbol Systems
- Tool-to-Tool Matching Analysis Based Difference Score Computation Methods for Semiconductor Manufacturing
- Evaluating Fake Music Detection Performance Under Audio Augmentations
- Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures
- Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
- Accuracy and Consumption analysis from a compressed model by CompactifAI from Multiverse Computing
- Representation learning with a transformer by contrastive learning for money laundering detection
- Physical Informed Neural Networks for modeling ocean pollutant
- Review, Remask, Refine (R3): Process-Guided Block Diffusion for Text Generation
- Mechanistic Indicators of Understanding in Large Language Models
- Synergistic Localization and Sensing in MIMO-OFDM Systems via Mixed-Integer Bilevel Learning
- DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning
- X-ray transferable polyrepresentation learning
- The Emotional Alignment Design Policy
- Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
- Attacker's Noise Can Manipulate Your Audio-based LLM in the Real World
- SenseCF: LLM-Prompted Counterfactuals for Intervention and Sensor Data Augmentation
- Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge
- Simulating Refractive Distortions and Weather-Induced Artifacts for Resource-Constrained Autonomous Perception
- Special-Unitary Parameterization for Trainable Variational Quantum Circuits
- Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification
- Bit-Flip Fault Attack: Crushing Graph Neural Networks via Gradual Bit Search
- Mitigating Shortcut Learning with InterpoLated Learning
- Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
- Modeling Deontic Modal Logic in ASP
- Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications
- Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model
- Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice
- Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
- Heterogeneous Causal Learning for Optimizing Aggregated Functions in User Growth
- Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
- Dynamic Campus Origin-Destination Mobility Prediction using Graph Convolutional Neural Network on WiFi Logs
- Predicting mutational effects on protein binding from folding energy
- LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving
- Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN)
- OLG++: A Semantic Extension of Obligation Logic Graph
- Stein Diffusion Guidance: Training-Free Posterior Correction for Sampling Beyond High-Density Regions
- Dynamic Regret Reduces to Kernelized Static Regret
- Temporal Conformal Prediction (TCP): Rolling Calibration for Financial Risk Forecasting
- Inaugural MOASEI Competition at AAMAS'2025: A Technical Report
- Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers from Driving Video
- ModelCitizens: Representing Community Voices in Online Safety
- Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging
- On the Semantics of Large Language Models
- NRXR-ID: Two-Factor Authentication (2FA) in VR Using Near-Range Extended Reality and Smartphones
- PhoniTale: Phonologically Grounded Mnemonic Generation for Typologically Distant Language Pairs
- Gendered Divides in Online Discussions about Reproductive Rights
- Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack
- Robotic System with AI for Real Time Weed Detection, Canopy Aware Spraying, and Droplet Pattern Evaluation
- OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts
- Mastering Regional 3DGS: Locating, Initializing, and Editing with Diverse 2D Priors
- Motion Generation: A Survey of Generative Approaches and Benchmarks
- EmissionNet: Air Quality Pollution Forecasting for Agriculture
- Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
- AXLearn: Modular, Hardware-Agnostic Large Model Training
- Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification
- Enhancing Underwater Images Using Deep Learning with Subjective Image Quality Integration
- Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences
- From General to Specialized: The Need for Foundational Models in Agriculture
- The Generalization Ridge: Information Flow in Natural Language Generation
- Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
- EduCoder: An Open-Source Annotation System for Education Transcript Data
- Foreground-aware Virtual Staining for Accurate 3D Cell Morphological Profiling
- YOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometries
- LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
- Causal Foundation Models: Disentangling Physics from Instrument Properties
- Dataless Neural Networks for Resource-Constrained Project Scheduling
- LCDS: A Logic-Controlled Discharge Summary Generation System Supporting Source Attribution and Expert Review
- OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models
- Conditional Graph Neural Network for Predicting Soft Tissue Deformation and Forces
- Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation
- Solar Flare Prediction Using Long Short-term Memory (LSTM) and Decomposition-LSTM with Sliding Window Pattern Recognition
- PLACE: Prompt Learning for Attributed Community Search in Large Graphs
- Neural Velocity for hyperparameter tuning
- High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction
- ASSURE: Metamorphic Testing for AI-powered Browser Extensions
- Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
- Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools
- Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes
- The neural networks with tensor weights and emergent fermionic Wick rules in the large-width limit
- CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection
- News Source Citing Patterns in AI Search Systems
- Structured Captions Improve Prompt Adherence in Text-to-Image Models (Re-LAION-Caption 19M)
- Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
- SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation
- From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving
- Physics-Guided Dual Implicit Neural Representations for Source Separation
- Multi-Disease Deep Learning Framework for GWAS: Beyond Feature Selection Constraints
- Modeling Latent Partner Strategies for Adaptive Zero-Shot Human-Agent Collaboration
- SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?
- Logit Reweighting for Topic-Focused Summarization
- Self-Supervised Real-Time Tracking of Military Vehicles in Low-FPS UAV Footage
- Cascade: Token-Sharded Private LLM Inference
- CTA: Cross-Task Alignment for Better Test Time Training
- QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
- Interleaving Logic and Counting
- A 3D Machine Learning based Volume Of Fluid scheme without explicit interface reconstruction
- Bridging Prediction and Intervention Problems in Social Systems
- All in One: Visual-Description-Guided Unified Point Cloud Segmentation
- MedGemma Technical Report
- Train-before-Test Harmonizes Language Model Rankings
- RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
- Neuralocks: Real-Time Dynamic Neural Hair Simulation
- Satellite-based Rabi rice paddy field mapping in India: a case study on Telangana state
- Infrastructuring Contestability: A Framework for Community-Defined AI Value Pluralism
- varphi-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery
- OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model
- Blind Targeting: Personalization under Third-Party Privacy Constraints
- Semantic Frame Interpolation
- Differential Attention for Multimodal Crisis Event Analysis
- A Dynamical Systems Perspective on the Analysis of Neural Networks
- 4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture
- LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains
- Steering Information Utility in Key-Value Memory for Language Model Post-Training
- AI Generated Text Detection Using Instruction Fine-tuned Large Language and Transformer-Based Models
- Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
- Effects of Unplanned Incoming Flights on Airport Relief Processes after a Major Natural Disaster
- OGF: An Online Gradient Flow Method for Optimizing the Statistical Steady-State Time Averages of Unsteady Turbulent Flows
- Pseudo-likelihood produces associative memories able to generalize, even for asymmetric couplings
- A generalized Wasserstein-2 distance approach for efficient reconstruction of random field models using stochastic neural networks
- GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation
- Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications
- Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
- Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors
- An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
- LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks
- VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots
- Rule Learning for Knowledge Graph Reasoning under Agnostic Distribution Shift
- Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration
- DICE: Discrete inverse continuity equation for learning population dynamics
- PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
- Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance
- How Rules Represent Causal Knowledge: Causal Modeling with Abductive Logic Programs
- Exploring Semantic Clustering and Similarity Search for Heterogeneous Traffic Scenario Graph
- Distribution-dependent Generalization Bounds for Tuning Linear Regression Across Tasks
- Sequential Attention-based Sampling for Histopathological Analysis
- Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes
- CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics
- A COMPASS to Model Comparison and Simulation-Based Inference in Galactic Chemical Evolution
- Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens
- Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good
- Estimating Object Physical Properties from RGB-D Vision and Depth Robot Sensors Using Deep Learning
- Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision
- Meta-Learning Transformers to Improve In-Context Generalization
- Verified Language Processing with Hybrid Explainability: A Technical Report
- Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
- Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
- Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
- Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
- Agentic Vehicles for Human-Centered Mobility: Definition, Prospects, and Synergistic Co-Development with Vehicle Autonomy
- Supported Abstract Argumentation for Case-Based Reasoning
- Effort-Optimized, Accuracy-Driven Labelling and Validation of Test Inputs for DL Systems: A Mixed-Integer Linear Programming Approach
- Classification of autoimmune diseases from Peripheral blood TCR repertoires by multimodal multi-instance learning
- Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
- The Case for Instance-Optimized LLMs in OLAP Databases
- LAPS-Diff: A Diffusion-Based Framework for Singing Voice Synthesis With Language Aware Prosody-Style Guided Learning
- InterGSEdit: Interactive 3D Gaussian Splatting Editing with 3D Geometry-Consistent Attention Prior
- Hear-Your-Click: Interactive Object-Specific Video-to-Audio Generation
- Boosting Temporal Sentence Grounding via Causal Inference
- EXPOTION: Facial Expression and Motion Control for Multimodal Music Generation
- ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation
- DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer
- SIGIR 2025 -- LiveRAG Challenge Report
- RainShift: A Benchmark for Precipitation Downscaling Across Geographies
- ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints
- Leadership Detection via Time-Lagged Correlation-Based Network Inference
- Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images
- Piggyback Camera: Easy-to-Deploy Visual Surveillance by Mobile Sensing on Commercial Robot Vacuums
- BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
- OFT@EvalLLM2025 : 'etude comparative de choix de donn'ees et de strat'egies d'apprentissage pour l'adaptation de mod`eles de langue `a un domaine
- MurreNet: Modeling Holistic Multimodal Interactions Between Histopathology and Genomic Profiles for Survival Prediction
- Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations
- Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods
- HGNet: High-Order Spatial Awareness Hypergraph and Multi-Scale Context Attention Network for Colorectal Polyp Detection
- Adaptive Slimming for Scalable and Efficient Speech Enhancement
- Transcribing Spanish Texts from the Past: Experiments with Transkribus, Tesseract and Granite
- DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine
- A Novel Approach for Estimating Largest Lyapunov Exponents in One-Dimensional Chaotic Time Series Using Machine Learning
- Efficacy of Image Similarity as a Metric for Augmenting Small Dataset Retinal Image Segmentation
- Towards Human-in-the-Loop Onset Detection: A Transfer Learning Approach for Maracatu
- textitGrahak-Nyay: Consumer Grievance Redressal through Large Language Models
- Dialogue-Based Multi-Dimensional Relationship Extraction from Novels
- Spatial and Semantic Embedding Integration for Stereo Sound Event Localization and Detection in Regular Videos
- Efficient SAR Vessel Detection for FPGA-Based On-Satellite Sensing
- Spec-TOD: A Specialized Instruction-Tuned LLM Framework for Efficient Task-Oriented Dialogue Systems
- CMET: Clustering guided METric for quantifying embedding quality
- A High-Level Compiler Integration Approach for Deep Learning Accelerators Supporting Abstraction and Optimization
- SeqGrowGraph: Learning Lane Topology as a Chain of Graph Expansions
- Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters
- From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach
- UDF-GMA: Uncertainty Disentanglement and Fusion for General Movement Assessment
- Kalman Filter Aided Federated Koopman Learning
- Application and Evaluation of Large Language Models for Forecasting the Impact of Traffic Incidents
- Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers
- PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling
- A Survey of Pun Generation: Datasets, Evaluations and Methodologies
- Model Compression using Progressive Channel Pruning
- Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning
- Machine Learning from Explanations
- FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift
- Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks
- Improving BERT for Symbolic Music Understanding Using Token Denoising and Pianoroll Prediction
- From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection
- GraphBrep: Learning B-Rep in Graph Structure for Efficient CAD Generation
- Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking
- CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering
- Intervening to Learn and Compose Causally Disentangled Representations
- Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions
- LLMs as Architects and Critics for Multi-Source Opinion Summarization
- MCFormer: A Multi-Cost-Volume Network and Comprehensive Benchmark for Particle Image Velocimetry
- MatDecompSDF: High-Fidelity 3D Shape and PBR Material Decomposition from Multi-View Images
- LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction
- A Tale of Two Scripts: Transliteration and Post-Correction for Judeo-Arabic
- Word stress in self-supervised speech models: A cross-linguistic comparison
- "This Suits You the Best": Query Focused Comparative Explainable Summarization
- Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
- LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework
- LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems
- Advocate for Complete Benchmarks for Formal Reasoning with Formal/Informal Statements and Formal/Informal Proofs
- Optimal Model Selection for Conformalized Robust Optimization
- Mutual Information Optimal Control of Discrete-Time Linear Systems
- Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model
- Spooky Action at a Distance: Normalization Layers Enable Side-Channel Spatial Communication
- Why We Feel What We Feel: Joint Detection of Emotions and Their Opinion Triggers in E-commerce
- Identity-Preserving Text-to-Video Generation Guided by Simple yet Effective Spatial-Temporal Decoupled Representations
- SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes
- Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning
- XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
- Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation
- Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness
- TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation
- SPIDER: Structure-Preferential Implicit Deep Network for Biplanar X-ray Reconstruction
- Recovering Plasticity of Neural Networks via Soft Weight Rescaling
- Operator-based machine learning framework for generalizable prediction of unsteady treatment dynamics in stormwater infrastructure
- Colorectal Cancer Tumor Grade Segmentation in Digital Histopathology Images: From Giga to Mini Challenge
- ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing
- DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
- What's Making That Sound Right Now? Video-centric Audio-Visual Localization
- Hybrid Adversarial Spectral Loss Conditional Generative Adversarial Networks for Signal Data Augmentation in Ultra-precision Machining Surface Roughness Prediction
- A Non-Asymptotic Class of Dense Precision Matrix Estimators: Complexity, Signal and Double Descent
- CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images
- A Cycle-Consistency Constrained Framework for Dynamic Solution Space Reduction in Noninjective Regression
- VaxPulse: Monitoring of Online Public Concerns to Enhance Post-licensure Vaccine Surveillance
- R1-RE: Cross-Domain Relation Extraction with RLVR
- UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification
- Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework
- LTMSformer: A Local Trend-Aware Attention and Motion State Encoding Transformer for Multi-Agent Trajectory Prediction
- Knowledge-Aware Self-Correction in Language Models via Structured Memory Graphs
- Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
- A Deep Unfolding Framework for Diffractive Snapshot Spectral Imaging
- Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiences
- Comprehensive Modeling of Camera Spectral and Color Behavior
- HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction
- Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
- any4: Learned 4-bit Numeric Representation for LLMs
- DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification
- QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation
- Photon Splatting: A Physics-Guided Neural Surrogate for Real-Time Wireless Channel Prediction
- Exploring Core and Periphery Precepts in Biological and Artificial Intelligence: An Outcome-Based Perspective
- Objective Task-based Evaluation of Quantitative Medical Imaging Methods: Emerging Frameworks and Future Directions
- VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
- CVFusion: Cross-View Fusion of 4D Radar and Camera for 3D Object Detection
- A Lightweight Deep Learning Model for Automatic Modulation Classification using Dual Path Deep Residual Shrinkage Network