Papers
Mon 27 Oct 2025
407 papers
- Quantifying Document Impact in RAG-LLMsRetrieval-augmented generation → Privacy and security of RAG
- Probing Knowledge Holes in Unlearned LLMsLLM safety and security → Machine unlearning
- Magentic Marketplace: An Open-Source Environment for Studying Agentic MarketsLLM agents and tool use → Financial trading and forecasting agents
- StreetMath: Study of LLMs' Approximation BehaviorsLLM reasoning → Mathematical reasoning
- A Survey on Efficient Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
- MR-Align: Meta-Reasoning Informed Factuality Alignment for Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- PISA-Bench: The PISA Index as a Multilingual and Multimodal Metric for the Evaluation of Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Semantic Communications with World ModelsWorld models → Video-generation world models and simulators
- TurboPortrait3D: Single-step diffusion-based fast portrait novel-view synthesisDiffusion models → 3D, point cloud and scene generation
- Latent Chain-of-Thought for Visual ReasoningLLM reasoning → Multimodal reasoning +1
- Agent-based Automated Claim Matching with Instruction-following LLMsLLM agents and tool use → Social simulation and multi-agent debate
- Revisiting Value Iteration: Unified Analysis of Discounted and Average-Reward CasesDeep reinforcement learning methods → RL theory and sample complexity
- AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African LanguagesRetrieval-augmented generation → Generation and context integration
- PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMsLLM safety and security → Watermarking generated content and models
- Agentic AI Security: Threats, Defenses, Evaluation, and Open ChallengesLLM agents and tool use → Agent threats, guardrails and governance
- Large Language Model Agent Personality and Response Appropriateness: Evaluation by Human Linguistic Experts, LLM-as-Judge, and Natural Language Processing ModelLLM agents and tool use → Social simulation and multi-agent debate
- OraPlan-SQL: A Planning-Centric Framework for Complex Bilingual NL2SQL ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- GIFT: Group-Relative Implicit Fine-Tuning Integrates GRPO with DPO and UNALLM reasoning → Reinforcement learning for reasoning +1
- A PDE-Informed Latent Diffusion Model for 2-m Temperature DownscalingDiffusion models → Flow matching, time series and science
- Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time PerceptionLLM agents and tool use → Tool learning and function calling
- Decentralized Multi-Agent Goal Assignment for Path Planning using Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model AgentsLLM reasoning → Test-time compute and efficient thinking +1
- Semantic-Guided Cross-Sensor Super Resolution of Remote Sensing Images: A Gated Dual Conditioning Flow Matching ModelDiffusion models → Inverse problems and image restoration
- Learning Interpretable Features in Audio Latent Spaces via Sparse AutoencodersMechanistic interpretability → Activation steering methods
- Explainable Detection of AI-Generated Images with Artifact Localization Using Faster-Than-Lies and Vision-Language Models for Edge DevicesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- BitSkip: An Empirical Analysis of Quantization and Early Exit Composition in TransformersEfficient LLM inference and serving → Early exit and edge inference
- RoboOmni: Proactive Robot Manipulation in Omni-modal ContextMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- TDFlow: Agentic Workflows for Test Driven DevelopmentLLM agents and tool use → Software engineering coding agents
- Debiasing Reward Models by Representation Learning with GuaranteesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Beyond Prompt Engineering: Neuro-Symbolic-Causal Architecture for Robust Multi-Objective AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- QueryIPI: Query-agnostic Indirect Prompt Injection on Coding AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- MCPGuard : Automatically Detecting Vulnerabilities in MCP ServersLLM agents and tool use → Agent threats, guardrails and governance
- Variational Masked Diffusion ModelsDiffusion models → Discrete and text diffusion
- PixelRefer: A Unified Framework for Spatio-Temporal Object Referring with Arbitrary GranularityMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Alita-G: Self-Evolving Generative Agent for Agent GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Think Twice: Branch-and-Rethink Reasoning Reward ModelLLM reasoning → Reinforcement learning for reasoning +1
- Multi-Agent Evolve: LLM Self-Improve through Co-evolutionLLM reasoning → Reasoning for agents, planning and code +2
- PRISM-Bench: A Benchmark of Puzzle-Based Visual Tasks with CoT Error DetectionLLM reasoning → Multimodal reasoning +1
- Lightweight Robust Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- A Survey of Data Agents: Emerging Paradigm or Overstated Hype?LLM agents and tool use → Web, search, and research agents
- UrbanVLA: A Vision-Language-Action Model for Urban MicromobilityVision-language-action models → VLA for autonomous driving
- More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- RobotArena ∞: Scalable Robot Benchmarking via Real-to-Sim TranslationVision-language-action models → Failure recovery and robustness
- EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoTLLM reasoning → Spatial and embodied reasoning
- LimRank: Less is More for Reasoning-Intensive Information RerankingLLM reasoning → Knowledge- and tool-augmented reasoning
- Dexbotic: Open-Source Vision-Language-Action ToolboxVision-language-action models → Generalist VLA models and benchmarks
- Logic-Guided Socially-aware Robot Navigation World ModelWorld models → World models for navigation +1
- Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale VerifierLLM reasoning → Audio-language model reasoning +1
- VOLD: Reasoning Transfer from LLMs to Vision-Language Models via On-Policy DistillationLLM reasoning → Multimodal reasoning +2
- Yesnt: Are Diffusion Relighting Models Ready for Capture Stage Compositing? A Hybrid Alternative to Bridge the GapDiffusion models → 3D, point cloud and scene generation
- Are Agents Probabilistic Automata? A Trace-Based, Memory-Constrained Theory of Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- Learning to Reason Efficiently with Discounted Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking +1
- On the Faithfulness of Visual Thinking: Measurement and EnhancementLLM reasoning → Multimodal reasoning +1
- MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Video-Thinker: Sparking "Thinking with Videos" via Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- BrowseConf: Confidence-Guided Test-Time Scaling for Web AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form PreferencesLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Causal Deep Q NetworkDeep reinforcement learning methods → Deep RL algorithms and representations
- VideoTG-R1: Boosting Video Temporal Grounding via Curriculum Reinforcement Learning on Reflected Boundary AnnotationsDeep reinforcement learning methods → RL training of language and agent models
- EMTSF:Extraordinary Mixture of SOTA Models for Time Series ForecastingMixture-of-experts → MoE for time series and graphs
- An Efficient Remote Sensing Super Resolution Method Exploring Diffusion Priors and Multi-Modal Constraints for Crop Type MappingDiffusion models → Inverse problems and image restoration
- BaZi-Based Character Simulation Benchmark: Evaluating AI on Temporal and Persona ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Adaptive Blockwise Search: Inference-Time Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Quadratic Truncated Random Return in Distributional LQR: Positive Definiteness, Density, and Log-ConcavityDeep reinforcement learning methods → RL for games and combinatorial optimization
- Transferable Deep Reinforcement Learning for Cross-Domain Navigation: from Farmland to the MoonDeep reinforcement learning methods → RL for robot navigation and UAV control
- CNOT Minimal Circuit Synthesis: A Reinforcement Learning ApproachDeep reinforcement learning methods → Quantum reinforcement learning
- Adaptive Stochastic Coefficients for Accelerating Diffusion SamplingDiffusion models → Diffusion foundations and sampling
- Code Aesthetics with Agentic Reward FeedbackLLM agents and tool use → Software engineering coding agents
- PAHQ: Accelerating Automated Circuit Discovery through Mixed-Precision Inference OptimizationMechanistic interpretability → Circuits and mechanistic analysis
- Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and NavigationWorld models → World models for navigation +1
- A Video Is Not Worth a Thousand WordsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Multi-Stakeholder Alignment in LLM-Powered Collaborative AI Systems: A Multi-Agent Framework for Intelligent TutoringLLM agents and tool use → Educational agents and math problem solving
- Process Reward Models for Sentence-Level Verification of LVLM Radiology ReportsLLM reasoning → Hallucination detection and mitigation +2
- Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning ApproachDeep reinforcement learning methods → RL for games and combinatorial optimization
- VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian SplattingEnd-to-end autonomous driving → Generative simulation for driving
- Introducing physics-informed generative models for targeting structural novelty in the exploration of chemical spaceDiffusion models → Flow matching, time series and science
- Guiding Skill Discovery with Foundation ModelsDeep reinforcement learning methods → Deep RL algorithms and representations
- Adapting Interleaved Encoders with PPO for Language-Guided Reinforcement Learning in BabyAIDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Revisiting Multimodal Positional Encoding in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Smaller Models, Smarter Rewards: A Two-Sided Approach to Process and Outcome RewardsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Think before Recommendation: Autonomous Reasoning-enhanced RecommenderLLM reasoning → LLM reasoning for recommendation
- Fast-MIA: Efficient and Scalable Membership Inference for LLMsLLM safety and security → Membership inference attacks
- Quality-Aware Translation Tagging in Multilingual RAG systemRetrieval-augmented generation → Generation and context integration
- Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy GradientsLLM reasoning → Reinforcement learning for reasoning +1
- HieraMamba: Video Temporal Grounding via Hierarchical Anchor-Mamba PoolingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- LLM Meets Diffusion: A Hybrid Framework for Crystal Material GenerationDiffusion models → Flow matching, time series and science
- Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- Nested AutoRegressive ModelsDiffusion models → Image generation, text-to-image and editing
- Towards Stable and Effective Reinforcement Learning for Mixture-of-ExpertsLLM reasoning → Reinforcement learning for reasoning +2
- ManiDP: Manipulability-Aware Diffusion Policy for Posture-Dependent Bimanual ManipulationDiffusion models → Diffusion and flow policies for robotics
- Coupled Flow MatchingDiffusion models → Flow matching, time series and science
- MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational LearningMixture-of-experts → Mixture of LoRA experts
- TALM: Dynamic Tree-Structured Multi-Agent Framework with Long-Term Memory for Scalable Code GenerationLLM agents and tool use → Software engineering coding agents
- Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty ReductionDiffusion models → Robustness, privacy and adversarial aspects
- Reasoning About Reasoning: Towards Informed and Reflective Use of LLM Reasoning in HCILLM reasoning → Reasoning benchmarks and evaluation
- The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool HallucinationLLM reasoning → Hallucination detection and mitigation
- VALA: Learning Latent Anchors for Training-Free and Temporally ConsistentDiffusion models → Video generation
- Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation PlannerDiffusion models → Diffusion for compression and wireless
All 407
- MAD-Fact: A Multi-Agent Debate Framework for Long-Form Factuality Evaluation in LLMsLLM agents and tool use → Web, search, and research agents
- When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +2
- DiffRhythm 2: Efficient and High Fidelity Song Generation via Block Flow MatchingDiffusion models → Audio, speech and music
- GTR-Mamba: Geometry-to-Tangent Routing Mamba for Hyperbolic POI RecommendationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Generating Auxiliary Tasks with Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- PPE: Positional Preservation Embedding for Token Compression in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain PretrainingSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Diffuse to Detect: A Generalizable Framework for Anomaly Detection with Diffusion Models Applications to UAVs and BeyondDiffusion models → Flow matching, time series and science
- Simple Denoising Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Improving Human Verification of LLM Reasoning through Interactive Explanation InterfacesLLM reasoning → Prompting and chain-of-thought reasoning
- Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future DirectionsLLM reasoning → Reasoning for agents, planning and code
- Reinforcement Learning from Compiler and Language Server FeedbackLLM agents and tool use → Software engineering coding agents +1
- On the Anisotropy of Score-Based Generative ModelsDiffusion models → Diffusion foundations and sampling
- On Generalization in Agentic Tool Calling: CoreThink Agentic Reasoner and MAVEN DatasetLLM reasoning → Reasoning for agents, planning and code +1
- MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and FeedbackLLM reasoning → LLM reasoning for recommendation
- Offline Preference Optimization via Maximum Marginal Likelihood EstimationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- AI-Assisted Authoring for Transparent, Data-Driven Documents
- Assessing the Human-Likeness of LLM-Driven Digital Twins in Simulating Health Care System Trust
- TimeStampEval: A Simple LLM Eval and a Little Fuzzy Matching Trick to Improve Search Accuracy
- Sound Logical Explanations for Mean Aggregation Graph Neural Networks
- sMRI-based Brain Age Estimation in MCI using Persistent Homology
- Retracing the Past: LLMs Emit Training Data When They Get Lost
- Automatizaci'on de Informes Geot'ecnicos para Macizos Rocosos con IA
- Friction on Demand: A Generative Framework for the Inverse Design of Metainterfaces
- ECGXtract: Deep Learning-based ECG Feature Extraction for Automated CVD Diagnosis
- Multi-Personality Generation of LLMs at Decoding-time
- Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra
- Neural Architecture Search for global multi-step Forecasting of Energy Production Time Series
- On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
- STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization
- From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators
- Towards Gaussian processes modelling to study the late effects of radiotherapy in children and young adults with brain tumours
- Impact of clinical decision support systems (cdss) on clinical outcomes and healthcare delivery in low- and middle-income countries: protocol for a systematic review and meta-analysis
- Review Based Entity Ranking using Fuzzy Logic Algorithmic Approach: Analysis
- Sustained Performance and Energy Accounting for Nonlinear Forecasting Across Classical and Simulated Quantum Models
- SFMS-ALR: Script-First Multilingual Speech Synthesis with Adaptive Locale Resolution
- Fortytwo: Swarm Inference with Peer-Ranked Consensus
- Large Language Models Report Subjective Experience Under Self-Referential Processing
- Mutual Wanting in Human--AI Interaction: Empirical Evidence from Large-Scale Analysis of GPT Model Transitions
- SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications
- A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data
- Cross-Lingual Summarization as a Black-Box Watermark Removal Attack
- The Underappreciated Power of Vision Models for Graph Structural Understanding
- ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality
- Leveraging LLMs for Early Alzheimer's Prediction
- Adaptive Training of INRs via Pruning and Densification
- Decentralized Causal Discovery using Judo Calculus
- Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs
- Modeling Biological Multifunctionality with Echo State Networks
- Scalable GPU-Based Integrity Verification for Large Machine Learning Models
- A data free neural operator enabling fast inference of 2D and 3D Navier Stokes equations
- Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
- MFiSP: A Multimodal Fire Spread Prediction Framework
- Differential Privacy: Gradient Leakage Attacks in Federated Learning Environments
- PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors
- Adaptive Keyframe Selection for Scalable 3D Scene Reconstruction in Dynamic Environments
- Improving the Straight-Through Estimator with Zeroth-Order Information
- Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation
- Key and Value Weights Are Probably All You Need: On the Necessity of the Query, Key, Value weight Triplet in Self-Attention Transformers
- DynaStride: Dynamic Stride Windowing with MMCoT for Instructional Multi-Scene Captioning
- Group Interventions on Deep Networks for Causal Discovery in Subsystems
- Inferring Group Intent as a Cooperative Game. An NLP-based Framework for Trajectory Analysis
- RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees
- Improving Visual Discriminability of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
- Evaluating the effectiveness of LLM-based interoperability
- Language Models for Longitudinal Clinical Prediction
- Hybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital Twins
- Generating Creative Chess Puzzles
- TRELLISWorld: Training-Free World Generation from Object Generators
- Artificial Intelligence Based Predictive Maintenance for Electric Buses
- From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production
- Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs
- A Neural Model for Contextual Biasing Score Learning and Filtering
- CRADLE Bench: A Clinician-Annotated Benchmark for Multi-Faceted Mental Health Crisis and Safety Risk Detection
- How Pragmatics Shape Articulation: A Computational Case Study in STEM ASL Discourse
- Testing-driven Variable Selection in Bayesian Modal Regression
- Beyond Understanding: Evaluating the Pragmatic Gap in LLMs' Cultural Processing of Figurative Language
- ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
- Combining SHAP and Causal Analysis for Interpretable Fault Detection in Industrial Processes
- A Physics-informed Multi-resolution Neural Operator
- Beyond the Failures: Rethinking Foundation Models in Pathology
- How do simple rotations affect the implicit bias of Adam?
- A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras
- Revealing the Potential of Learnable Perturbation Ensemble Forecast Model for Tropical Cyclone Prediction
- Relaxed Sequence Sampling for Diverse Protein Design
- CountFormer: A Transformer Framework for Learning Visual Repetition and Structure in Class-Agnostic Object Counting
- Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
- Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation
- Re-envisioning Euclid Galaxy Morphology: Identifying and Interpreting Features with Sparse Autoencoders
- Test-Time Tuned Language Models Enable End-to-end De Novo Molecular Structure Generation from MS/MS Spectra
- Bayesian neural networks with interpretable priors from Mercer kernels
- Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability
- A Neural Network Framework for Discovering Closed-form Solutions to Quadratic Programs with Linear Constraints
- AI and the Decentering of Disciplinary Creativity
- Evaluating Long-Term Memory for Long-Context Question Answering
- MUStReason: A Benchmark for Diagnosing Pragmatic Reasoning in Video-LMs for Multimodal Sarcasm Detection
- In Search of the Unknown Unknowns: A Multi-Metric Distance Ensemble for Out of Distribution Anomaly Detection in Astronomical Surveys
- On the Societal Impact of Machine Learning
- Parallel BiLSTM-Transformer networks for forecasting chaotic dynamics
- VIKING: Deep variational inference with stochastic projections
- Informed Initialization for Bayesian Optimization and Active Learning
- RefleXGen:The unexamined code is not worth using
- DBLoss: Decomposition-based Loss Function for Time Series Forecasting
- Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations
- Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling
- InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras
- FARMER: Flow AutoRegressive Transformer over Pixels
- Hope Speech Detection in Social Media English Corpora: Performance of Traditional and Transformer Models
- Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation
- Reduced AI Acceptance After the Generative AI Boom: Evidence From a Two-Wave Survey Study
- ReCode: Unify Plan and Action for Universal Granularity Control
- Revising Second Order Terms in Deep Animation Video Coding
- ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models
- Minimizing Human Intervention in Online Classification
- A U-Net and Transformer Pipeline for Multilingual Image Translation
- OntoPret: An Ontology for the Interpretation of Human Behavior
- Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
- JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence
- IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering
- Sequential Multi-Agent Dynamic Algorithm Configuration
- Direct Debiased Machine Learning via Bregman Divergence Minimization
- When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
- Learning Linearity in Audio Consistency Autoencoders via Implicit Regularization
- DPGLA: Bridging the Gap between Synthetic and Real Data for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation
- Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
- FreeFuse: Multi-Subject LoRA Fusion via Adaptive Token-Level Routing at Test Time
- Localising under the drape: proprioception in the era of distributed surgical robotic system
- M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset
- A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
- iPac: Incorporating Intra-image Patch Context into Graph Neural Networks for Medical Image Classification
- Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems
- Training Deep Physics-Informed Kolmogorov-Arnold Networks
- Mixed Precision Training of Neural ODEs
- Quantum Phase Classification of Rydberg Atom Systems Using Resource-Efficient Variational Quantum Circuits and Classical Shadows
- Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
- T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
- UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception
- MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
- Human-AI Collaborative Uncertainty Quantification
- Policy-Aware Generative AI for Safe, Auditable Data Access Governance
- BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
- Robust Decision Making with Partially Calibrated Forecasts
- Towards Fair Graph Prompting: A Dual-Prompt Mechanism for Mitigating Attribute and Structural Bias
- Evaluating Large Language Models for Stance Detection on Financial Targets from SEC Filing Reports and Earnings Call Transcripts
- Differential Privacy as a Perk: Federated Learning over Multiple-Access Fading Channels with a Multi-Antenna Base Station
- SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning
- What are the odds? Risk and uncertainty about AI existential risk
- Schrodinger Neural Network and Uncertainty Quantification: Quantum Machine
- FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network
- A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration
- CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification
- Coresets for Clustering Under Stochastic Noise
- MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans
- Improving Predictions of Molecular Properties with Graph Featurisation and Heterogeneous Ensemble Models
- PrivacyGuard: A Modular Framework for Privacy Auditing in Machine Learning
- Quantifying Systemic Vulnerability in the Foundation Model Industry
- Quality-controlled registration of urban MLS point clouds reducing drift effects by adaptive fragmentation
- Towards Generalisable Foundation Models for Brain MRI
- Symmetria: A Synthetic Dataset for Learning in Point Clouds
- Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens
- Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
- AutoStreamPipe: LLM Assisted Automatic Generation of Data Stream Processing Pipelines
- Color and Frequency Correction for Image Colorization
- Detecting Religious Language in Climate Discourse
- The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation
- Floating-Point Neural Network Verification at the Software Level
- Opinion Mining Based Entity Ranking using Fuzzy Logic Algorithmic Approach
- Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
- Towards a Generalizable AI for Materials Discovery: Validation through Immersion Coolant Screening
- PlanarTrack: A high-quality and challenging benchmark for large-scale planar object tracking
- ZeroFlood: Flood Hazard Mapping from Single-Modality SAR Using Geo-Foundation Models
- Interpretable Tile-Based Classification of Paclitaxel Exposure
- Robust Non-negative Proximal Gradient Algorithm for Inverse Problems
- How AI Forecasts AI Jobs: Benchmarking LLM Predictions of Labor Market Changes
- Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks
- Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
- LightKGG: Simple and Efficient Knowledge Graph Generation from Textual Data
- Planning Ahead with RSA: Efficient Signalling in Dynamic Environments by Projecting User Awareness across Future Timesteps
- The First Star-by-star N-body/Hydrodynamics Simulation of Our Galaxy Coupling with a Surrogate Model
- GRAD: Real-Time Gated Recurrent Anomaly Detection in Autonomous Vehicle Sensors Using Reinforced EMA and Multi-Stage Sliding Window Techniques
- Multitask Multimodal Self-Supervised Learning for Medical Images
- LibriConvo: Simulating Conversations from Read Literature for ASR and Diarization
- Arabic Little STT: Arabic Children Speech Recognition Dataset
- ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generation
- MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification
- MMSD3.0: A Multi-Image Benchmark for Real-World Multimodal Sarcasm Detection
- Predicting symbolic ODEs from multiple trajectories
- Learning from Frustration: Torsor CNNs on Graphs
- DCMM-SQL: Automated Data-Centric Pipeline and Multi-Model Collaboration Training for Text-to-SQL Model
- hYOLO Model: Enhancing Object Classification with Hierarchical Context in YOLOv8
- A Cocktail-Party Benchmark: Multi-Modal dataset and Comparative Evaluation Results
- A Novel Framework for Multi-Modal Protein Representation Learning
- Mubeen AI: A Specialized Arabic Language Model for Heritage Preservation and User Intent Understanding
- Toward Interpretable Evaluation Measures for Time Series Segmentation
- GCAO: Group-driven Clustering via Gravitational Attraction and Optimization
- Optimal In-context Adaptivity and Distributional Robustness of Transformers
- Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages?
- Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation
- Autoregressive Styled Text Image Generation, but Make it Reliable
- Robust Iterative Learning Hidden Quantum Markov Models
- Grassmanian Interpolation of Low-Pass Graph Filters: Theory and Applications
- Through the Lens: Benchmarking Deepfake Detectors Against Moir'e-Induced Distortions
- Accurate and Scalable Multimodal Pathology Retrieval via Attentive Vision-Language Alignment
- Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action
- Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
- AUPO -- Abstracted Until Proven Otherwise: A Reward Distribution Based Abstraction Algorithm
- Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks
- DecoDINO: 3D Human-Scene Contact Prediction with Semantic Classification
- Rate-optimal Design for Anytime Best Arm Identification
- PTPP-Aware Adaptation Scaling Laws: Predicting Domain-Adaptation Performance at Unseen Pre-Training Budgets
- Model-free filtering in high dimensions via projection and score-based diffusions
- The Benchmarking Epistemology: Validity Theory for Evaluating Machine Learning Models
- Evaluation of Vision-LLMs in Surveillance Video
- DREaM: Drug-Drug Relation Extraction via Transfer Learning Method
- Finding 3D Scene Analogies with Multimodal Foundation Models
- SI-Bench: Benchmarking Social Intelligence of Large Language Models in Human-to-Human Conversations
- TARC: Time-Adaptive Robotic Control
- Benchmarking VQE Configurations: Architectures, Initializations, and Optimizers for Silicon Ground State Energy
- MATCH: Task-Driven Code Evaluation through Contrastive Learning
- Beyond Direct Generation: A Decomposed Approach to Well-Crafted Screenwriting with LLMs
- Reclaiming Low-Quality Instruction Data with Rule-Guided LLM Reconstruction
- Enabling Vibration-Based Gesture Recognition on Everyday Furniture via Energy-Efficient FPGA Implementation of 1D Convolutional Networks
- AG-Fusion: adaptive gated multimodal fusion for 3d object detection in complex scenes
- Revisiting the Structure of Trend Premia: When Diversification Hides Redundancy
- Complexity Dependent Error Rates for Physics-informed Statistical Learning via the Small-ball Method
- Implicit Modeling for Transferability Estimation of Vision Foundation Models
- DQ3D: Depth-guided Query for Transformer-Based 3D Object Detection in Traffic Scenarios
- Rethinking GSPO: The Perplexity-Entropy Equivalence
- Treble10: A high-quality dataset for far-field speech recognition, dereverberation, and enhancement
- Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
- Note on the Construction of Structure Tensor
- A method for outlier detection based on cluster analysis and visual expert criteria
- Corpus Frequencies in Morphological Inflection: Do They Matter?
- Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs
- DeepSalt: Bridging Laboratory and Satellite Spectra through Domain Adaptation and Knowledge Distillation for Large-Scale Soil Salinity Estimation
- Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
- Quantizing Space and Time: Fusing Time Series and Images for Earth Observation
- Seeing Structural Failure Before it Happens: An Image-Based Physics-Informed Neural Network (PINN) for Spaghetti Bridge Load Prediction
- Residual Diffusion Bridge Model for Image Restoration
- Flexing in 73 Languages: A Single Small Model for Multilingual Inflection
- GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
- Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data
- Sampling from Energy distributions with Target Concrete Score Identity
- Leveraging Hierarchical Organization for Medical Multi-document Summarization
- MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models
- EndoWave: 4D Gaussian Splatting with Rational Wavelet for Endoscopic Reconstruction
- A Survey on LLM Mid-Training
- Strategies for Robust Deep Learning Based Deformable Registration
- TLCD: A Deep Transfer Learning Framework for Cross-Disciplinary Cognitive Diagnosis
- Seq-DeepIPC: Sequential Sensing for End-to-End Control in Legged Robot Navigation
- AirFed: A Federated Graph-Enhanced Multi-Agent Reinforcement Learning Framework for Multi-UAV Cooperative Mobile Edge Computing
- Knocking-Heads Attention
- SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
- A Survey of AI Scientists
- Sublinear Sketches for Approximate Nearest Neighbor and Kernel Density Estimation
- A high-capacity linguistic steganography based on entropy-driven rank-token mapping
- Efficient and Encrypted Inference using Binarized Neural Networks within In-Memory Computing Architectures
- Mixed-Density Diffuser: Efficient Planning with Non-Uniform Temporal Resolution
- UniAIDet: A Unified and Universal Benchmark for AI-Generated Image Content Detection and Localization
- M3T2IBench: A Large-Scale Multi-Category, Multi-Instance, Multi-Relation Text-to-Image Benchmark
- Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
- Softmax is 1/2-Lipschitz: A tight bound across all ℓp norms
- LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models
- UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds
- From Prompt Optimization to Multi-Dimensional Credibility Evaluation: Enhancing Trustworthiness of Chinese LLM-Generated Liver MRI Reports -- with Preliminary Extension to Lung Cancer
- CoMo: Compositional Motion Customization for Text-to-Video Generation
- Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid Architectures
- An Intelligent Water-Saving Irrigation System Based on Multi-Sensor Fusion and Visual Servoing Control
- ProfileXAI: User-Adaptive Explainable AI
- LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
- SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
- Can Language Models Compose Skills In-Context?
- Adaptive Forests For Classification
- USF-MAE: Ultrasound Self-Supervised Foundation Model with Masked Autoencoding
- Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
- QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
- How Muon's Spectral Design Benefits Generalization: A Study on Imbalanced Data
- Analysis of accuracy and efficiency of neural networks to simulate Navier-Stokes fluid flows with obstacles
- VoMP: Predicting Volumetric Mechanical Property Fields
- Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method
- Measuring Teaching with LLMs
- Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
- FAME: Fairness-aware Attention-modulated Video Editing
- Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts
- SARNet: A Spike-Aware consecutive validation Framework for Accurate Remaining Useful Life Prediction
- Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
- Manifold Approximation leads to Robust Kernel Alignment
- Hankel Singular Value Regularization for Highly Compressible State Space Models
- PASS-Enhanced MEC: Joint Optimization of Task Offloading and Uplink PASS Beamforming
- LightFusion: A Light-weighted, Double Fusion Framework for Unified Multimodal Understanding and Generation
- Is Your Prompt Poisoning Code? Defect Induction Rates and Security Mitigation Strategies
- Switchable Token-Specific Codebook Quantization For Face Image Compression
- Hazard-Responsive Digital Twin for Climate-Driven Urban Resilience and Equity
- AQCat25: Unlocking spin-aware, high-fidelity machine learning potentials for heterogeneous catalysis
- Bi-Encoder Contrastive Learning for Fingerprint and Iris Biometrics
- Gen-LangSplat: Generalized Language Gaussian Splatting with Pre-Trained Feature Compression
- HyPerNav: Hybrid Perception for Object-Oriented Navigation in Unknown Environment
- Estimating Pasture Biomass from Top-View Images: A Dataset for Precision Agriculture
- Clinic-Oriented Feasibility of a Sensor-Fused Wearable for Upper-Limb Function
- Towards Personalized Treatment Plan: Geometrical Model-Agnostic Approach to Counterfactual Explanations
- Modeling Political Discourse with Sentence-BERT and BERTopic
- Charting the Design Space of Neural Graph Representations for Subgraph Matching
- Transforming volcanic monitoring: A dataset and benchmark for onboard volcano activity detection
- AI based signage classification for linguistic landscape studies
- Exploring Structures of Inferential Mechanisms through Simplistic Digital Circuits
- Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
- Limits of Generative Pre-Training in Structured EMR Trajectories with Irregular Sampling