Papers
Wed 19 Nov 2025
305 papers
- Enhancing Reliability across Short and Long-Form QA via Reinforcement LearningLLM reasoning → Hallucination detection and mitigation +1
- Noise-Robust Abstractive Compression in Retrieval-Augmented Language ModelsRetrieval-augmented generation → Generation and context integration
- The Specification Trap: Why Static Value Alignment Alone Is Insufficient for Robust AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Entropy-Based Measurement of Value Drift and Alignment Work in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- When Harmless Words Harm: A New Threat to LLM Safety via Conceptual TriggersLLM safety and security → Jailbreaking
- CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict ResolutionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Efficient Score Pre-computation for Diffusion Models via Cross-Matrix Krylov ProjectionDiffusion models → Diffusion foundations and sampling
- Can we use LLMs to bootstrap reinforcement learning? -- A case study in digital health behavior changeSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- A Coq-based Axiomatization of Tarski's MereogeometryLLM reasoning → Spatial and embodied reasoning
- DiffuMamba: High-Throughput Diffusion LMs with Mamba BackboneDiffusion models → Discrete and text diffusion +2
- RB-FT: Rationale-Bootstrapped Fine-Tuning for Video ClassificationMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Thinking, Faithful and Stable: Mitigating Hallucinations in LLMsLLM reasoning → Hallucination detection and mitigation
- AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel OptimizationLLM agents and tool use → Software engineering coding agents +1
- Global Resolution: Optimal Multi-Draft Speculative Sampling via Convex MinimizationEfficient LLM inference and serving → Speculative decoding
- Decomposing Theory of Mind: How Emotional Processing Mediates ToM Abilities in LLMsMechanistic interpretability → Activation steering methods
- What Really Counts? Examining Step and Token Level Attribution in Multilingual CoT ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- The Subtle Art of Defection: Understanding Uncooperative Behaviors in LLM based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Step-Audio-R1 Technical ReportLLM reasoning → Audio-language model reasoning
- TB or Not TB: Coverage-Driven Direct Preference Optimization for Verilog Stimulus GenerationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Securing AI Agents Against Prompt Injection AttacksRetrieval-augmented generation → Privacy and security of RAG +2
- Multi-Agent LLM Orchestration Achieves Deterministic, High-Quality Decision Support for Incident ResponseLLM agents and tool use → General LLM agent frameworks and benchmarks
- Build AI Assistants using Large Language Models and Agents to Enhance the Engineering Education of BiomechanicsLLM agents and tool use → Educational agents and math problem solving
- GeoVista: Web-Augmented Agentic Visual Reasoning for GeolocalizationLLM reasoning → Spatial and embodied reasoning +1
- The Impact of Quantization on Large Reasoning Model Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert SkippingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- VisPlay: Self-Evolving Vision-Language Models from ImagesLLM reasoning → Multimodal reasoning +2
- Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open ChallengesDeep reinforcement learning methods → Deep RL algorithms and representations
- When to Think and When to Look: Uncertainty-Guided LookbackLLM reasoning → Multimodal reasoning +1
- SRPO: Self-Referential Policy Optimization for Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training
- What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation DiversityLLM agents and tool use → Web, search, and research agents
- AVATAAR: Agentic Video Answering via Temporal Adaptive Alignment and ReasoningLLM reasoning → Multimodal reasoning +1
- HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models through Curriculum TuningMechanistic interpretability → Knowledge and representations inside LLMs
- From Per-Image Low-Rank to Encoding Mismatch: Rethinking Feature Distillation in Vision TransformersMechanistic interpretability → Interpreting vision and multimodal models +1
- Computer-Use Agents as Judges for Generative User InterfaceLLM agents and tool use → GUI and mobile agents
- Multimodal Evaluation of Russian-language ArchitecturesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Theoretical Closed-loop Stability Bounds for Dynamical System Coupled with Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics
- Know Your Intent: An Autonomous Multi-Perspective LLM Agent Framework for DeFi User Transaction Intent MiningLLM agents and tool use → Financial trading and forecasting agents
- HV-Attack: Hierarchical Visual Attack for Multimodal Retrieval Augmented GenerationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- IPR-1: Interactive Physical ReasonerWorld models → Latent predictive world models
- DEPO: Dual-Efficiency Preference Optimization for LLM AgentsLLM reasoning → Reinforcement learning for reasoning +2
- Terra Nova: A Comprehensive Challenge Environment for Intelligent AgentsDeep reinforcement learning methods → RL training of language and agent models
- Parameter Importance-Driven Continual Learning for Foundation ModelsLLM reasoning → Multimodal reasoning
- Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph AttentionDeep reinforcement learning methods → Safe and constrained RL
- HEAD-QA v2: Expanding a Healthcare Benchmark for ReasoningLLM reasoning → Clinical and biomedical applications
- Octopus: Agentic Multimodal Reasoning with Six-Capability OrchestrationLLM reasoning → Multimodal reasoning +1
- C2F-Space: Coarse-to-Fine Space Grounding for Spatial Instructions using Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DesignerlyLoop: Forming Design Intent through Curated Reasoning for Human-LLM AlignmentLLM reasoning → Reasoning benchmarks and evaluation +1
- Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language ModelsLLM safety and security → Jailbreaking
- Reinforcement Learning in Queue-Reactive Models: Application to Optimal ExecutionDeep reinforcement learning methods → Adversarial robustness and RL in finance
- GRPO-RM: Fine-Tuning Representation Models via GRPO-Driven Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Trustworthy and Fair SkinGPT-R1 for Democratizing Dermatological Reasoning across Diverse EthnicitiesLLM reasoning → Clinical and biomedical applications
- Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative StoryMechanistic interpretability → SAE features and their applications
- Reasoning in Diffusion Large Language Models is Concentrated in Dynamic Confusion ZonesLLM reasoning → Diffusion reasoning and test-time scaling
- Taxonomy, Evaluation and Exploitation of IPI-Centric LLM Agent Defense FrameworksLLM agents and tool use → Agent threats, guardrails and governance +1
- Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary MultitaskingDeep reinforcement learning methods → Deep RL algorithms and representations
- Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement LearningDiffusion models → Discrete and text diffusion +1
- Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion ModelDiffusion models → Flow matching, time series and science
- Adaptive Inverse Reinforcement Learning with Online Off-Policy Data CollectionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SafeRBench: Dissecting the Reasoning Safety of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Multimodal Continual Instruction Tuning with Dynamic Gradient GuidanceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based RecommendationLLM reasoning → LLM reasoning for recommendation +1
- From Solving to Verifying: A Unified Objective for Robust Reasoning in LLMsLLM reasoning → Reinforcement learning for reasoning
- Effective Code Membership Inference for Code Completion Models via Adversarial PromptsLLM safety and security → Membership inference attacks
- A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +2
- MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmLLM agents and tool use → Agent threats, guardrails and governance
- Jointly Conditioned Diffusion Model for Multi-View Pose-Guided Person Image SynthesisDiffusion models → 3D, point cloud and scene generation
- SciEGQA: A Dataset for Scientific Evidence-Grounded Question Answering and ReasoningLLM reasoning → Multimodal reasoning
- Fourier-KAN-Mamba: A Novel State-Space Equation Approach for Time-Series Anomaly DetectionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- MambaTrack3D: A State Space Model Framework for LiDAR-Based Object Tracking under High Temporal VariationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model AgentsLLM agents and tool use → Web, search, and research agents
- ProRAC: A Neuro-symbolic Method for Reasoning about Actions with LLM-based ProgressionLLM reasoning → Reasoning benchmarks and evaluation
- BokehFlow: Depth-Free Controllable Bokeh Rendering via Flow MatchingDiffusion models → 3D, point cloud and scene generation
- Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving TasksLLM reasoning → Multimodal reasoning
- Beyond GeneGPT: A Multi-Agent Architecture with Open-Source LLMs for Enhanced Genomic Question AnsweringLLM agents and tool use → Medical and scientific domain agents
- Evaluating Multimodal Large Language Models on Vertically Written Japanese TextMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Aligning Generative Music AI with Human Preferences: Methods and ChallengesLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Dynamic Expert Quantization for Scalable Mixture-of-Experts InferenceMixture-of-experts → Efficient MoE training and inference systems
- FinCriticalED: A Visual Benchmark for Financial Fact-Level OCRMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- SoK: Critical Evaluation of Quantum Machine Learning for Adversarial RobustnessLLM safety and security → Machine unlearning
- An Alignment-Based Approach to Learning Motions from DemonstrationsOffline RL and imitation learning from data → Robot learning from demonstration
- C2-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models
- Pharmacophore-based design by learning on voxel grids
- Generative design and validation of therapeutic peptides for glioblastoma based on a potential target ATP5A
- Seizure-NGCLNet: Representation Learning of SEEG Spatial Pathological Patterns for Epileptic Seizure Detection via Node-Graph Dual Contrastive Learning
- Coarse-to-Fine Non-Rigid Registration for Side-Scan Sonar Mosaicking
- German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
- PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations
- An Optimized Machine Learning Classifier for Detecting Fake Reviews Using Extracted Features
- TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin
- Model-to-Model Knowledge Transmission (M2KT): A Data-Free Framework for Cross-Model Understanding Transfer
- PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
- TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection
- Upstream Probabilistic Meta-Imputation for Multimodal Pediatric Pancreatitis Classification
- BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
- Smart Manufacturing: MLOps-Enabled Event-Driven Architecture for Enhanced Control in Steel Production
- Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario
- Boundary-Aware Adversarial Filtering for Reliable Diagnosis under Extreme Class Imbalance
- Rectifying Distribution Shift in Cascaded Precipitation Nowcasting
All 305
- Unified all-atom molecule generation with neural fields
- Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
- EEG Emotion Recognition Through Deep Learning
- Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies
- Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Language
- AnyBox: Efficient Zero-Shot 9DoF Pose Estimation of Boxes for Robotic Manipulation
- Automatic Uncertainty-Aware Synthetic Data Bootstrapping for Historical Map Segmentation
- WALDO: Where Unseen Model-based 6D Pose Estimation Meets Occlusion
- AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture
- A Crowdsourced Study of ChatBot Influence in Value-Driven Decision Making Scenarios
- GLOBE: Accurate and Generalizable PDE Surrogates using Domain-Inspired Architectures and Equivariances
- discretize_distributions: Efficient Quantization of Gaussian Mixtures with Guarantees in Wasserstein Distance
- The Ensemble Kalman Inversion Race
- Transparent Early ICU Mortality Prediction with Clinical Transformer and Per-Case Modality Attribution
- The Loss of Control Playbook: Degrees, Dynamics, and Preparedness
- Attention-Based Feature Online Conformal Prediction for Time Series
- EfficientSAM3: Progressive Hierarchical Distillation for Video Concept Segmentation from SAM1, 2, and 3
- UniFit: Towards Universal Virtual Try-on with MLLM-Guided Semantic Alignment
- Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions
- IMACT-CXR: An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretation
- Atlas Gaussian processes on restricted domains and point clouds
- Beyond Tsybakov: Model Margin Noise and H-Consistency Bounds
- Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
- TopoReformer: Mitigating Adversarial Attacks Using Topological Purification in OCR Models
- SURFing to the Fundamental Limit of Jet Tagging
- Balancing Natural Language Processing Accuracy and Normalisation in Extracting Medical Insights
- UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation
- Identifying the Supply Chain of AI for Trustworthiness and Risk Management in Critical Applications
- A time for monsters: Organizational knowing after LLMs
- Writing With Machines and Peers: Designing for Critical Engagement with Generative AI
- Tokenisation over Bounded Alphabets is Hard
- RoMa v2: Harder Better Faster Denser Feature Matching
- In-N-On: Scaling Egocentric Manipulation with in-the-wild and on-task Data
- Think Visually, Reason Textually: Vision-Language Synergy in ARC
- First Frame Is the Place to Go for Video Content Customization
- Joint Semantic-Channel Coding and Modulation for Token Communications
- RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue
- Hyperspectral Image Classification using Spectral-Spatial Mixer Network
- Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
- Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion
- MF-GCN: A Multi-Frequency Graph Convolutional Network for Tri-Modal Depression Detection Using Eye-Tracking, Facial, and Acoustic Features
- GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI
- INQUIRE-Search: Interactive Discovery in Large-Scale Biodiversity Databases
- FDIO: Frequency Decomposed Inertial Odometry
- Multi-Stage Residual-Aware Unsupervised Deep Learning Framework for Consistent Ultrasound Strain Elastography
- R'enyi Differential Privacy for Heavy-Tailed SDEs via Fractional Poincar'e Inequalities
- Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
- CODE-II: A large-scale dataset for artificial intelligence in ECG analysis
- Sufficient Explanations in Databases and their Connections to Database Repairs
- The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification
- CODE: A global approach to ODE dynamics learning
- FlashMesh: Faster and Better Autoregressive Mesh Synthesis via Structured Speculation
- Near-optimal Delta-convex Estimation of Lipschitz Functions
- Optimus-Q: Utilizing Federated Learning in Adaptive Robots for Intelligent Nuclear Power Plant Operations through Quantum Cryptography
- MaskMed: Decoupled Mask and Class Prediction for Medical Image Segmentation
- US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery
- Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
- MHR: Momentum Human Rig
- CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking
- Transferable Dual-Domain Feature Importance Attack against AI-Generated Image Detector
- Scriboora: Rethinking Human Pose Forecasting
- B+ANN: A Fast Billion-Scale Disk-based Nearest-Neighbor Index
- A Physics Informed Machine Learning Framework for Optimal Sensor Placement and Parameter Estimation
- A Hybrid CNN-ViT-GNN Framework with GAN-Based Augmentation for Intelligent Weed Detection in Precision Agriculture
- Exploring the use of AI authors and reviewers at Agents4Science
- Convergence and Sketching-Based Efficient Computation of Neural Tangent Kernel Weights in Physics-Based Loss
- Decentralized Gaussian Process Classification and an Application in Subsea Robotics
- PCARNN-DCBF: Minimal-Intervention Geofence Enforcement for Ground Vehicles
- Multi-Text Guided Few-Shot Semantic Segmentation
- Standardising the NLP Workflow: A Framework for Reproducible Linguistic Analysis
- Sample-Adaptivity Tradeoff in On-Demand Sampling
- DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory Architectures
- Learning to Expand Images for Efficient Visual Autoregressive Modeling
- Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels
- NTK-Guided Implicit Neural Teaching
- A Novel CustNetGC Boosted Model with Spectral Features for Parkinson's Disease Prediction
- FunnyNodules: A Customizable Medical Dataset Tailored for Evaluating Explainable AI
- RS-CA-HSICT: A Residual and Spatial Channel Augmented CNN Transformer Framework for Monkeypox Detection
- Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners
- SIGMMA: Hierarchical Graph-Based Multi-Scale Multi-modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome
- Insights from the ICLR Peer Review and Rebuttal Process
- Driving in Spikes: An Entropy-Guided Object Detector for Spike Cameras
- FairEnergy: Contribution-Based Fairness meets Energy Efficiency in Federated Learning
- TSFM in-context learning for time-series classification of bearing-health status
- Gini Score under Ties and Case Weights
- Neural network-driven domain decomposition for efficient solutions to the Helmholtz equation
- CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search
- A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing
- Small Language Models for Phishing Website Detection: Cost, Performance, and Privacy Trade-Offs
- Representation Space Constrained Learning with Modality Decoupling for Multimodal Object Detection
- Towards Understanding Layer Contributions in Tabular In-Context Learning Models
- WarNav: An Autonomous Driving Benchmark for Segmentation of Navigable Zones in War Scenes
- LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering
- Building Robust and Scalable Multilingual ASR for Indian Languages
- RRT*former: Environment-Aware Sampling-Based Motion Planning using Transformer
- D4C: Data-Free Quantization for Contrastive Language-Image Pre-training Models
- Recursive Entropic Variational Inference for Nonlinear State-Space Models
- Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization
- Controlling False Positives in Image Segmentation via Conformal Prediction
- ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation
- EVA-Net: Interpretable Anomaly Detection for Brain Health via Learning Continuous Aging Prototypes from One-Class EEG Cohorts
- Automatic Pruning Discovery for Large Language Models
- A Compliance-Preserving Retrieval System for Aircraft MRO Task Search
- Zero-Shot Open-Vocabulary Human Motion Grounding with Test-Time Training
- CID: Measuring Feature Importance Through Counterfactual Distributions
- The Empowerment of Science of Science by Large Language Models: New Tools and Methods
- IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers
- Cost-Aware Prediction (CAP): An LLM-Enhanced Machine Learning Pipeline and Decision Support System for Heart Failure Mortality Prediction
- Multi-layer Stack Ensembles for Time Series Forecasting
- Three-Way Open-Set Detection for Robust Autonomous Navigation
- Reflexive Evidence-Based Multimodal Learning for Clean Energy Transitions: Causal Insights on Cooking Fuel Access, Urbanization, and Carbon Emissions
- STREAM-VAE: Dual-Path Routing for Slow and Fast Dynamics in Vehicle Telemetry Anomaly Detection
- Exponential Lasso: robust sparse penalization under heavy-tailed noise and outliers with exponential-type loss
- BaGGLS: A Bayesian Shrinkage Framework for Interpretable Modeling of Interactions in High-Dimensional Biological Data
- LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
- KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
- On the Internal Semantics of Time-Series Foundation Models
- SkyEgg: Heterogeneity-Aware Hardware Synthesis via Equality Saturation
- Adaptive thresholding pattern for fingerprint forgery detection
- What Your Features Reveal: Data-Efficient Black-Box Feature Inversion Attack for Split DNNs
- Robust Bayesian Optimisation with Unbounded Corruptions
- A Multimodal Transformer Approach for UAV Detection and Aerial Object Recognition Using Radar, Audio, and Video Data
- Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language
- Quant-Trim in Practice: Improved Cross-Platform Low-Bit Deployment on Edge NPUs
- Taming Generative Synthetic Data for X-ray Prohibited Item Detection
- MAPROC at AHaSIS Shared Task: Few-Shot and Sentence Transformer for Sentiment Analysis of Arabic Hotel Reviews
- Edge-Centric Relational Reasoning for 3D Scene Graph Prediction
- Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
- Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research
- Look, Zoom, Understand: The Robotic Eyeball for Embodied Perception
- SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
- Behavior Trees vs Executable Ontologies: a Comparative Analysis of Robot Control Paradigms
- Graph Query Networks for Object Detection with Automotive Radar
- ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing
- IndicGEC: Powerful Models, or a Measurement Mirage?
- Efficiency Will Not Lead to Sustainable Reasoning AI
- SplitFlux: Learning to Decouple Content and Style from a Single Image
- M, Toolchain and Language for Reusable Model Compilation
- PresentCoach: Dual-Agent Presentation Coaching through Exemplars and Interactive Feedback
- PLATONT: Learning a Platonic Representation for Unified Network Tomography
- Optimized scheduling of electricity-heat cooperative system considering wind energy consumption and peak shaving and valley filling
- EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control
- D2D Power Allocation via Quantum Graph Neural Network
- Context Cascade Compression: Exploring the Upper Limits of Text Compression
- Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties with Phonon-Informed Datasets
- OEMA: Ontology-Enhanced Multi-Agent Collaboration Framework for Zero-Shot Clinical Named Entity Recognition
- Physics-Based Benchmarking Metrics for Multimodal Synthetic Images
- SOLID: a Framework of Synergizing Optimization and LLMs for Intelligent Decision-Making
- Towards Unbiased Cross-Modal Representation Learning for Food Image-to-Recipe Retrieval
- Insert In Style: A Zero-Shot Generative Framework for Harmonious Cross-Domain Object Composition
- Particle Monte Carlo methods for Lattice Field Theory
- Eq.Bot: Enhance Robotic Manipulation Learning via Group Equivariant Canonicalization
- As If We've Met Before: LLMs Exhibit Certainty in Recognizing Seen Files
- HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization
- BrainRotViT: Transformer-ResNet Hybrid for Explainable Modeling of Brain Aging from 3D sMRI
- Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset
- HinTel-AlignBench: A Framework and Benchmark for Hindi-Telugu with English-Aligned Samples
- SWR-Viz: AI-assisted Interactive Visual Analytics Framework for Ship Weather Routing
- MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction
- Data-driven Prediction of Species-Specific Plant Responses to Spectral-Shifting Films from Leaf Phenotypic and Photosynthetic Traits
- Complex variational autoencoders admit K"ahler structure
- Finetuning LLMs for Automatic Form Interaction on Web-Browser in Selenium Testing Framework
- Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation
- Can MLLMs Detect Phishing? A Comprehensive Security Benchmark Suite Focusing on Dynamic Threats and Multimodal Evaluation in Academic Environments
- Teaching According to Students' Aptitude: Personalized Mathematics Tutoring via Persona-, Memory-, and Forgetting-Aware LLMs
- Multimodal Wireless Foundation Models
- Generating Natural-Language Surgical Feedback: From Structured Representation to Domain-Grounded Evaluation
- SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection
- DCL-SE: Dynamic Curriculum Learning for Spatiotemporal Encoding of Brain Imaging
- Beyond Uncertainty Sets: Leveraging Optimal Transport to Extend Conformal Predictive Distributions to Multivariate Settings
- CASPER: Cross-modal Alignment of Spatial and single-cell Profiles for Expression Recovery
- Cross-Modal Consistency-Guided Active Learning for Affective BCI Systems
- Novel sparse matrix algorithm expands the feasible size of a self-organizing map of the knowledge indexed by a database of peer-reviewed medical literature
- WaveFuse-AL: Cyclical and Performance-Adaptive Multi-Strategy Active Learning for Medical Images
- CASTELLA: Long Audio Dataset with Captions and Temporal Boundaries
- Efficient RF Passive Components Modeling with Bayesian Online Learning and Uncertainty Aware Sampling
- Multi-Aspect Cross-modal Quantization for Generative Recommendation
- Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
- Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
- An Event-triggered System for Social Persuasion and Danger Alert in Elder Home Monitoring
- Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
- Eye Care You: Voice Guidance Application Using Social Robot for Visually Impaired People
- Gaussian Blending: Rethinking Alpha Blending in 3D Gaussian Splatting
- TiCAL:Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition
- GPU-Initiated Networking for NCCL
- Classification Trees with Valid Inference via the Exponential Mechanism
- Deep Pathomic Learning Defines Prognostic Subtypes and Molecular Drivers in Colorectal Cancer
- Interpretable temporal fusion network of multi- and multi-class arrhythmia classification
- Transformed ℓ1 Gradient Regularization for Image Denoising
- ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
- Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
- CellGenNet: A Knowledge-Distilled Framework for Robust Cell Segmentation in Cancer Tissues
- Hyperspectral Super-Resolution with Inter-Image Variability via Degradation-based Low-Rank and Residual Fusion Method
- Oversampling techniques for predicting COVID-19 patient length of stay
- UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space
- Simulated Human Learning in a Dynamic, Partially-Observed, Time-Series Environment
- Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans
- Complex-Valued 2D Gaussian Representation for Computer-Generated Holography
- CKDA: Cross-modality Knowledge Disentanglement and Alignment for Visible-Infrared Lifelong Person Re-identification
- Latent space analysis and generalization to out-of-distribution data
- Mathematical Analysis of Hallucination Dynamics in Large Language Models: Uncertainty Quantification, Advanced Decoding, and Principled Mitigation
- IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
- Resource-Based Time and Cost Prediction in Project Networks: From Statistical Modeling to Graph Neural Networks
- Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
- Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation