Papers
Mon 17 Nov 2025
465 papers
- TelcoAI: Advancing 3GPP Technical Specification Search through Agentic Multi-Modal Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Causal Reinforcement Learning based Agent-Patient Interaction with Clinical Domain KnowledgeLLM agents and tool use → Medical and scientific domain agents +1
- Emergent Convergence in Multi-Agent LLM AnnotationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Sensing and Understanding the World over Air: A Large Multimodal Model for Mobile NetworksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Non-stationary and Varying-discounting Markov Decision Processes for Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Boosting Reinforcement Learning in 3D Visuospatial Tasks Through Human-Informed Curriculum DesignOffline RL and imitation learning from data → Imitation learning methods +1
- Comparative Analysis of Large Language Model Inference Serving Systems: A Performance Study of vLLM and HuggingFace TGIEfficient LLM inference and serving → Serving systems and request scheduling
- MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token MergingEfficient LLM inference and serving → Visual token pruning in multimodal models
- LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software EngineeringLLM agents and tool use → Software engineering coding agents
- Data Whitening Improves Sparse Autoencoder LearningMechanistic interpretability → Sparse autoencoder training and evaluation
- Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual GroundingLLM reasoning → Multimodal reasoning
- Jailbreaking Large Vision Language Models in Intelligent Transportation SystemsLLM reasoning → Reasoning for agents, planning and code +2
- Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao SearchLLM reasoning → Knowledge- and tool-augmented reasoning
- VLMs Guided Interpretable Decision Making for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- QwenCLIP: Boosting Medical Vision-Language Pretraining via LLM Embeddings and Prompt tuningMultimodal LLMs / vision-language models → Medical vision-language models
- Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning BenchmarkLLM reasoning → Multimodal reasoning
- Beat the long tail: Distribution-Aware Speculative Decoding for RL TrainingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- FusionFM: All-in-One Multi-Modal Image Fusion with Flow MatchingDiffusion models → Image generation, text-to-image and editing
- Back to Basics: Let Denoising Generative Models DenoiseDiffusion models → Diffusion foundations and sampling
- Free-Form Scene Editor: Enabling Multi-Round Object Manipulation like in a 3D EngineDiffusion models → 3D, point cloud and scene generation
- TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative ModelsLLM reasoning → Multimodal reasoning
- Training-Free Multi-View Extension of IC-Light for Textual Position-Aware Scene RelightingDiffusion models → 3D, point cloud and scene generation
- Weight-sparse transformers have interpretable circuitsMechanistic interpretability → Circuits and mechanistic analysis
- Distribution Matching Distillation Meets Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Part-X-MLLM: Part-aware 3D Multimodal Large Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?LLM agents and tool use → Software engineering coding agents +1
- CacheFlow: Compressive Streaming Memory for Efficient Long-Form Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data MixturesSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- CreBench: Human-Aligned Creativity Evaluation from Idea to Process to ProductMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Market-Dependent Communication in Multi-Agent Alpha GenerationLLM agents and tool use → Financial trading and forecasting agents
- P1: Mastering Physics Olympiads with Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving AgentsLLM agents and tool use → Agent memory systems +1
- VVS: Accelerating Speculative Decoding for Visual Autoregressive Generation via Partial Verification SkippingEfficient LLM inference and serving → Fast autoregressive visual generation
- ForgeDAN: An Evolutionary Framework for Jailbreaking Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Robust Defense Strategies for Multimodal Contrastive Learning: Efficient Fine-tuning Against Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
- Automated Construction of Medical Indicator Knowledge Graphs Using Retrieval Augmented Large Language ModelsRetrieval-augmented generation → Medical and biomedical RAG
- Language-Guided Invariance Probing of Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PolicyBot - Reliable Question Answering over Policy DocumentsRetrieval-augmented generation → Legal and financial RAG
- InterMoE: Individual-Specific 3D Human Interaction Generation via Dynamic Temporal-Selective MoEMixture-of-experts → MoE in reinforcement learning and robotics
- Semantic Document Derendering: SVG Reconstruction via Vision-Language ModelingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Multi-Agent Multimodal Large Language Model Framework for Automated Interpretation of Fuel Efficiency Analytics in Public TransportationMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy AwarenessDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Trust in Vision-Language Models: Insights from a Participatory User WorkshopMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Unlocking the Forgery Detection Potential of Vanilla MLLMs: A Novel Training-Free PipelineMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- FUSE: A Flow-based Mapping Between ShapesDiffusion models → 3D, point cloud and scene generation
- VOPE: Revisiting Hallucination of Vision-Language Models in Voluntary Imagination TaskMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Mem-PAL: Towards Memory-based Personalized Dialogue Assistants for Long-term User-Agent InteractionLLM agents and tool use → Agent memory systems
- What Color Is the Text? A Benchmark for Hallucination Induced by Image-Embedded PromptMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Descriptor: Distance-Annotated Traffic Perception Question Answering (DTPQA)Multimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Finding Kissing Numbers with Game-theoretic Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Generalized Denoising Diffusion Codebook Models (gDDCM): Tokenizing images using a pre-trained diffusion modelDiffusion models → Diffusion foundations and sampling
- MedDCR: Learning to Design Agentic Workflows for Medical CodingLLM agents and tool use → Medical and scientific domain agents
- Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural NormsLLM reasoning → Reasoning benchmarks and evaluation +1
- YOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object DetectionMixture-of-experts → Vision mixture-of-experts
- An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply ChainsLLM safety and security → Backdoor and data poisoning attacks
- ZeroDexGrasp: Zero-Shot Task-Oriented Dexterous Grasp Synthesis with Prompt-Based Multi-Stage Semantic ReasoningLLM reasoning → Spatial and embodied reasoning
- Explainable RL Policies by Distilling to Locally-Specialized Linear Policies with Voronoi State PartitioningDeep reinforcement learning methods → Interpretable and logic-guided RL
- EL3DD: Extended Latent 3D Diffusion for Language Conditioned Multitask ManipulationDiffusion models → Diffusion and flow policies for robotics
- DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving
- DAP: A Discrete-token Autoregressive Planner for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous DrivingEnd-to-end autonomous driving → Generative simulation for driving +1
- Grounded by Experience: Generative Healthcare Prediction Augmented with Hierarchical Agentic RetrievalLLM agents and tool use → Medical and scientific domain agents
- Dropouts in Confidence: Moral Uncertainty in Human-LLM AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPOLLM reasoning → Reinforcement learning for reasoning +1
- Is your VLM Sky-Ready? A Comprehensive Spatial Intelligence Benchmark for UAV NavigationLLM reasoning → Spatial and embodied reasoning +1
- Building Egocentric Procedural AI Assistant: Methods, Benchmarks, and ChallengesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GeoX-Bench: Benchmarking Cross-View Geo-Localization and Pose Estimation Capabilities of Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- MMD-Thinker: Adaptive Multi-Dimensional Thinking for Multimodal Misinformation DetectionLLM reasoning → Multimodal reasoning
- Knowing What You Know Is Not Enough: Large Language Model Confidences Don't Align With Their ActionsLLM agents and tool use → General LLM agent frameworks and benchmarks
- LLM-based Multi-Agent System for Simulating Strategic and Goal-Oriented Data MarketplacesLLM agents and tool use → Financial trading and forecasting agents
- MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRIDiffusion models → Medical imaging and segmentation
- Seeing isn't Hearing: Benchmarking Vision Language Models at Interpreting SpectrogramsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- TokenSqueeze: Performance-Preserving Compression for Reasoning LLMsLLM reasoning → Test-time compute and efficient thinking
- Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Cost-Effective Communication: An Auction-based Method for Language Agent InteractionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Video Spatial Reasoning with Object-Centric 3D RolloutLLM reasoning → Spatial and embodied reasoning +1
- DiffFP: Learning Behaviors from Scratch via Diffusion-based Fictitious PlayDeep reinforcement learning methods → RL for games and combinatorial optimization
- HDW-SR: High-Frequency Guided Diffusion Model based on Wavelet Decomposition for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- WinMamba: Multi-Scale Shifted Windows in State Space Model for 3D Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Conditional Diffusion Model for Multi-Agent Dynamic Task DecompositionDiffusion models → Diffusion and flow policies for robotics
- MedGEN-Bench: A Contextually Entangled Benchmark for Open-ended Multimodal Medical GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom ApplicationsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SPARK: Jailbreaking T2V Models by Synergistically Prompting Auditory and Recontextualized KnowledgeLLM safety and security → Vision-language and text-to-image safety
- CloseUpShot: Close-up Novel View Synthesis from Sparse-views via Point-conditioned Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event ExtractionLLM agents and tool use → Software engineering coding agents
- Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine UnlearningLLM safety and security → Machine unlearning
- Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image DerainingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image DetectionDiffusion models → Image generation, text-to-image and editing
- BeDiscovER: The Benchmark of Discourse Understanding in the Era of Reasoning Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- MEGA-GUI: Multi-stage Enhanced Grounding Agents for GUI ElementsLLM agents and tool use → GUI and mobile agents
- Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- ViSS-R1: Self-Supervised Reinforcement Video ReasoningLLM reasoning → Multimodal reasoning +1
- uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired DataMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlowOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
- An Online Multiobjective Policy Gradient for Long-run Average-reward Markov Decision ProcessDeep reinforcement learning methods → RL theory and sample complexity
- REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video UnderstandingLLM reasoning → Multimodal reasoning
- PragWorld: A Benchmark Evaluating LLMs' Local World Model under Minimal Linguistic Alterations and Conversational DynamicsWorld models → World models for language agents
- MeanFlow Transformers with Representation AutoencodersDiffusion models → Diffusion foundations and sampling
All 465
- The Good, The Bad, and The Hybrid: A Reward Structure Showdown in Reasoning Models TrainingLLM reasoning → Reinforcement learning for reasoning +1
- GEM: Generative Entropy-Guided Preference Modeling for Few-shot Alignment of LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal BiasMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- PerTouch: VLM-Driven Agent for Personalized and Semantic Image RetouchingLLM agents and tool use → Multimodal and embodied agents
- WebCoach: Self-Evolving Web Agents with Cross-Session Memory GuidanceLLM agents and tool use → Web, search, and research agents +1
- Reuse, Don't Recompute: Efficient Large Reasoning Model Inference via Memory OrchestrationLLM reasoning → Test-time compute and efficient thinking
- Learning Branching Policies for MILPs with Proximal Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy OptimizationLLM reasoning → Reasoning for agents, planning and code +3
- RAGPulse: An Open-Source RAG Workload Trace to Optimize RAG Serving SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance ApproachMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SplatSearch: Instance Image Goal Navigation for Mobile Robots using 3D Gaussian Splatting and Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- GrOCE:Graph-Guided Online Concept Erasure for Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- MedRule-KG: A Knowledge-Graph--Steered Scaffold for Reliable Mathematical and Biomedical ReasoningLLM reasoning → Clinical and biomedical applications
- ENGRAM: Effective, Lightweight Memory Orchestration for Conversational AgentsLLM agents and tool use → Agent memory systems
- Yanyun-3: Enabling Cross-Platform Strategy Game Operation with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image ManifoldDiffusion models → Flow matching, time series and science
- Visual Room 2.0: Seeing is Not Understanding for MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based RecommendationMixture-of-experts → MoE for recommender systems
- Explore How to Inject Beneficial Noise in MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Fault2Flow: An AlphaEvolve-Optimized Human-in-the-Loop Multi-Agent System for Fault-to-Workflow AutomationLLM agents and tool use → Financial trading and forecasting agents
- Wide-Area Feedback Control for Renewables-Heavy Power Systems: A Comparative Study of Reinforcement Learning and Lyapunov-Based DesignDeep reinforcement learning methods → RL for energy, networks and operations
- DeepSport: A Multimodal Large Language Model for Comprehensive Sports Video Reasoning via Agentic Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- Functional Mean Flow in Hilbert SpaceDiffusion models → Flow matching, time series and science
- Green Emergency Communications in RIS- and MA-Assisted Multi-UAV SAGINs: A Partially Observable Reinforcement Learning ApproachDeep reinforcement learning methods → RL for robot navigation and UAV control
- Agent READMEs: An Empirical Study of Context Files for Agentic CodingLLM agents and tool use → Software engineering coding agents
- Towards High-Consistency Embodied World Model with Multi-View Trajectory VideosWorld models → Embodied and robot world models
- Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-MakingLLM reasoning → Reasoning for agents, planning and code +1
- On the Fundamental Limits of LLMs at ScaleEfficient LLM inference and serving → Serving systems and request scheduling
- Video Finetuning Improves Reasoning Between FramesLLM reasoning → Multimodal reasoning +1
- Bootstrapping LLMs via Preference-Based Policy OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- An approach of deep reinforcement learning for maximizing the net present value of stochastic projectsDeep reinforcement learning methods → RL for energy, networks and operations
- From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Structured Imitation Learning of Interactive Policies through Inverse GamesOffline RL and imitation learning from data → Imitation learning methods
- Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent PerformanceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Enriching Historical Records: An OCR and AI-Driven Approach for Database Integration
- The changing surface of the world's roads
- Human-Level and Beyond: Benchmarking Large Language Models Against Clinical Pharmacists in Prescription Review
- Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis
- Assessing Large Language Models in Generating RTL Design Specifications
- Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach
- Lost in the Pipeline: How Well Do Large Language Models Handle Data Preparation?
- A General Highly Accurate Online Planning Method Integrating Large Language Models into Nested Rollout Policy Adaptation for Dialogue Tasks
- Insight-A: Attribution-aware for Multimodal Misinformation Detection
- Dynamic Template Selection for Output Token Generation Optimization: MLP-Based and Transformer Approaches
- BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction
- Reconstruction-Driven Multimodal Representation Learning for Automated Media Understanding
- AutoSAGE: Input-Aware CUDA Scheduling for Sparse GNN Aggregation (SpMM/SDDMM) and CSR Attention
- GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms
- SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data
- Detecting and Steering LLMs' Empathy in Action
- Hierarchical Retrieval with Out-Of-Vocabulary Queries: A Case Study on SNOMED CT
- The persistence of painting styles
- The Future of Food: How Artificial Intelligence is Transforming Food Manufacturing
- Transformer Injectivity & Geometric Robustness - Analytic Margins and Bi-Lipschitz Uniformity of Sequence-Level Hidden States
- Fully Differentiable dMRI Streamline Propagation in PyTorch
- Towards Continuous Assurance with Formal Verification and Assurance Cases
- Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
- Evaluating Generative AI for CS1 Code Grading: Direct vs Reverse Methods
- On the Gradient Complexity of Private Optimization with Private Oracles
- Hint-Augmented Re-ranking: Efficient Product Search using LLM-Based Query Decomposition
- Learning Skill-Attributes for Transferable Assessment in Video
- Artificial Intelligence Agents in Music Analysis: An Integrative Perspective Based on Two Use Cases
- Node-Level Uncertainty Estimation in LLM-Generated SQL
- Efficient reconstruction of multidimensional random field models with heterogeneous data using stochastic neural networks
- Show and Tell: Prompt Strategies for Style Control in Multi-Turn LLM Code Generation
- Scene Graph-Guided Generative AI Framework for Synthesizing and Evaluating Industrial Hazard Scenarios
- PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction
- A Brain Wave Encodes a Thousand Tokens: Modeling Inter-Cortical Neural Interactions for Effective EEG-based Emotion Recognition
- The Impact of Bootstrap Sampling Rate on Random Forest Performance in Regression Tasks
- EchoAgent: Guideline-Centric Reasoning Agent for Echocardiography Measurement and Interpretation
- Single Tensor Cell Segmentation using Scalar Field Representations
- Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers
- Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets
- CORGI: Efficient Pattern Matching With Quadratic Guarantees
- ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels
- Complex-Weighted Convolutional Networks: Provable Expressiveness via Complex Diffusion
- Preference-Based Learning in Audio Applications: A Systematic Analysis
- Weather Maps as Tokens: Transformers for Renewable Energy Forecasting
- Empirical Likelihood for Random Forests and Ensembles
- Self-Supervised Compression and Artifact Correction for Streaming Underwater Imaging Sonar
- Compute-in-Memory Implementation of State Space Models for Event Sequence Processing
- Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
- Mind the Gap: Evaluating LLM Understanding of Human-Taught Road Safety Principles
- Edge Assisted Multi-Camera Vehicle Tracking Framework for Real-Time and Scalable Deployment
- What Works for 'Lost-in-the-Middle' in LLMs? A Study on GM-Extract and Mitigations
- A Factorized Low-Rank RNN Framework for Uncovering Independent Neural Latent Dynamics and Connectivity
- Temporal Realism Evaluation of Generated Videos Using Compressed-Domain Motion Vectors
- Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis
- Weakly Supervised Ephemeral Gully Detection In Remote Sensing Images Using Vision Language Models
- Uni-Hema: Unified Model for Digital Hematopathology
- Tractable Probabilistic Models for Investment Planning
- Can QE-informed (Re)Translation lead to Error Correction?
- Revisiting Data Scaling in Medical Image Segmentation via Topology-Aware Augmentation
- AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
- Hybrid Convolution Neural Network Integrated with Pseudo-Newton Boosting for Lumbar Spine Degeneration Detection
- H-CNN-ViT: A Hierarchical Gated Attention Multi-Branch Model for Bladder Cancer Recurrence Prediction
- Randomized Controlled Trials for Conditional Access Optimization Agent
- GRLoc: Geometric Representation Regression for Visual Localization
- Segmenting Collision Sound Sources in Egocentric Videos
- Randomized Controlled Trials for Phishing Triage Agent
- RSPose: Ranking Based Losses for Human Pose Estimation
- Causal computations in Semi Markovian Structural Causal Models using divide and conquer
- QUASAR: An Evolutionary Algorithm to Accelerate High-Dimensional Numerical Optimization
- When AI Does Science: Evaluating the Autonomous AI Scientist KOSMOS in Radiation Biology
- ScoresActivation: A New Activation Function for Model Agnostic Global Explainability by Design
- Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora
- GAEA: Experiences and Lessons Learned from a Country-Scale Environmental Digital Twin
- Passive Dementia Screening via Facial Temporal Micro-Dynamics Analysis of In-the-Wild Talking-Head Video
- Rdgai: Classifying transcriptional changes using Large Language Models with a test case from an Arabic Gospel tradition
- Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model
- KANGURA: Kolmogorov-Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures
- MAT-MPNN: A Mobility-Aware Transformer-MPNN Model for Dynamic Spatiotemporal Prediction of HIV Diagnoses in California, Florida, and New England
- A Trajectory-free Crash Detection Framework with Generative Approach and Segment Map Diffusion
- Scaling Spatial Intelligence with Multimodal Foundation Models
- Segment Anything Across Shots: A Method and Benchmark
- UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity
- From Black Box to Insight: Explainable AI for Extreme Event Preparedness
- From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands
- Rare Genomic Subtype Discovery from RNA-seq via Autoencoder Embeddings and Stability-Aware Clustering
- Generalist Foundation Models Are Not Clinical Enough for Hospital Operations
- ST-ProC: A Graph-Prototypical Framework for Robust Semi-Supervised Travel Mode Identification
- Learning stochasticity: a nonparametric framework for intrinsic noise estimation
- Efficient Calibration for Decision Making
- Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation
- Protein Secondary Structure Prediction Using 3D Graphs and Relation-Aware Message Passing Transformers
- Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
- QUILL: An Algorithm-Architecture Co-Design for Cache-Local Deformable Attention
- T-SAR: A Full-Stack Co-design for CPU-Only Ternary LLM Inference via In-Place SIMD ALU Reorganization
- Scientific Data Compression and Super-Resolution Sampling
- Person-AI Bidirectional Fit - A Proof-Of-Concept Case Study Of Augmented Human-Ai Symbiosis In Management Decision-Making Process
- SAIL: Sound Abstract Interpreters with LLMs
- Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues
- OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
- Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning
- PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image
- FuseSampleAgg: One-Pass Neighborhood Estimation for Budgeted Knowledge-Graph Refresh and Validation
- Towards Multimodal Representation Learning in Paediatric Kidney Disease
- Beyond Mimicry: Preference Coherence in LLMs
- Batch Acquisition Function Evaluations and Decouple Optimizer Updates for Faster Bayesian Optimization
- Alpha Divergence Losses for Biometric Verification
- A Real-Time Driver Drowsiness Detection System Using MediaPipe and Eye Aspect Ratio
- Tissue Aware Nuclei Detection and Classification Model for Histopathology Images
- AtlasMorph: Learning conditional deformable templates for brain MRI
- A Gentle Introduction to Conformal Time Series Forecasting
- ICLR: Inter-Chrominance and Luminance Interaction for Natural Color Restoration in Low-Light Image Enhancement
- Nonparametric Estimation of Joint Entropy via Partitioned Sample-Spacing
- Robust Client-Server Watermarking for Split Federated Learning
- Physics-Informed Neural Networks for Nonlinear Output Regulation
- Power Homotopy for Zeroth-Order Non-Convex Optimizations
- Beyond SELECT: A Comprehensive Taxonomy-Guided Benchmark for Real-World Text-to-SQL Translation
- Data-driven Acceleration of MPC with Guarantees
- Adaptive Multi-Scale Integration Unlocks Robust Cell Annotation in Histopathology Images
- Hierarchical Prompt Learning for Image- and Text-Based Person Re-Identification
- Opt3DGS: Optimizing 3D Gaussian Splatting with Adaptive Exploration and Curvature-Aware Exploitation
- Artificial Intelligence-driven Intelligent Wearable Systems: A full-stack Integration from Material Design to Personalized Interaction
- RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering under Multi-Source Noise
- TSE-Net: Semi-supervised Monocular Height Estimation from Single Remote Sensing Images
- Making Evidence Actionable in Adaptive Learning Closing the Diagnostic Pedagogical Loop
- Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries
- Fairness-Aware Graph Representation Learning with Limited Demographic Information
- BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
- Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew
- Minimax Multi-Target Conformal Prediction with Applications to Imaging Inverse Problems
- Towards Affect-Adaptive Human-Robot Interaction: A Protocol for Multimodal Dataset Collection on Social Anxiety
- Toward Conversational Hungarian Speech Recognition: Introducing the BEA-Large and BEA-Dialogue Datasets
- Mitigating Spurious Correlations in Patch-wise Tumor Classification on High-Resolution Multimodal Images
- AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
- FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI
- A Quantum Tensor Network-Based Viewpoint for Modeling and Analysis of Time Series Data
- Naga: Vedic Encoding for Deep State Space Models
- Mapping the Vanishing and Transformation of Urban Villages in China
- Applying Large Language Models to Characterize Public Narratives
- The Shape of Data: Topology Meets Analytics. A Practical Introduction to Topological Analytics and the Stability Index (TSI) in Business
- Quantum Machine Learning via Contrastive Training
- Systematic Evaluation of Time-Frequency Features for Binaural Sound Source Localization
- Aspect-Level Obfuscated Sentiment in Thai Financial Disclosures and Its Impact on Abnormal Returns
- A Lexical Analysis of online Reviews on Human-AI Interactions
- GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
- Non-Linear Scoring Model for Translation Quality Evaluation
- The Quick Red Fox gets the best Data Driven Classroom Interviews: A manual for an interview app and its associated methodology
- AdamNX: An Adam improvement algorithm based on a novel exponential decay mechanism for the second-order moment estimate
- Multi-task GINN-LP for Multi-target Symbolic Regression
- Artificial Intelligence-Enabled Spirometry for Early Detection of Right Heart Failure
- Hardware optimization on Android for inference of AI models
- Discovering Operational Patterns Using Image-Based Convolutional Clustering and Composite Evaluation: A Case Study in Foundry Melting Processes
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