Papers
Sat 13 Dec 2025
151 papers
- Emergence: Overcoming Privileged Information Bias in Asymmetric Embodied Agents via Active QueryingLLM reasoning → Reasoning for agents, planning and code +1
- TS-DP: Reinforcement Speculative Decoding For Temporal Adaptive Diffusion Policy AccelerationDiffusion models → Diffusion and flow policies for robotics +1
- Composite Classifier-Free Guidance for Multi-Modal Conditioning in Wind Dynamics Super-ResolutionDiffusion models → Diffusion foundations and sampling
- RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-HailingMixture-of-experts → MoE in reinforcement learning and robotics
- Compressed Causal Reasoning: Quantization and GraphRAG Effects on Interventional and Counterfactual AccuracyLLM reasoning → Causal reasoning in LLMs
- More Than the Final Answer: Improving Visual Extraction and Logical Consistency in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Exploring the Design Space of Transition MatchingDiffusion models → Flow matching, time series and science
- Breaking the Curse of Dimensionality: On the Stability of Modern Vector RetrievalRetrieval-augmented generation → Vector search and ANN indexes
- Anchoring Values in Temporal and Group Dimensions for Flow Matching Model AlignmentLLM reasoning → Reinforcement learning for reasoning +2
- Speedrunning ImageNet DiffusionDiffusion models → Diffusion foundations and sampling
- V-Warper: Appearance-Consistent Video Diffusion Personalization via Value WarpingDiffusion models → Video generation
- VideoARM: Agentic Reasoning over Hierarchical Memory for Long-Form Video UnderstandingLLM reasoning → Multimodal reasoning +1
- Unified Control for Inference-Time Guidance of Denoising Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- From Human Intention to Action Prediction: Intention-Driven End-to-End Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache RetrievalEfficient LLM inference and serving → KV cache optimization
- MetaTPT: Meta Test-time Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Journey Before Destination: On the importance of Visual Faithfulness in Slow ThinkingLLM reasoning → Multimodal reasoning +1
- Training Versatile Coding Agents in Synthetic EnvironmentsLLM agents and tool use → Software engineering coding agents
- Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- MolGuidance: Advanced Guidance Strategies for Conditional Molecular Generation with Flow MatchingDiffusion models → Flow matching, time series and science
- HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space BackboneDiffusion models → Flow matching, time series and science
- Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation PerspectiveLLM reasoning → Reasoning benchmarks and evaluation
- Diffusion Language Model Inference with Monte Carlo Tree SearchDiffusion models → Discrete and text diffusion
- MixtureKit: A General Framework for Composing, Training, and Visualizing Mixture-of-Experts ModelsMixture-of-experts → MoE theory and gating functions
- EchoVLM: Measurement-Grounded Multimodal Learning for EchocardiographyMultimodal LLMs / vision-language models → Medical vision-language models
- Screen, Cache, and Match: A Training-Free Causality-Consistent Reference Frame Framework for Human Animation
- On Harnessing Idle Compute at the Edge for Foundation Model Training
- Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance
- NystagmusNet: Explainable Deep Learning for Photosensitivity Risk Prediction
- Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU
- Enhanced Web User Interface Design Via Cross-Device Responsiveness Assessment Using An Improved HCI-INTEGRATED DL Schemes
- Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real
- Solving PDEs With Deep Neural Nets under General Boundary Conditions
- Multiscale Cross-Modal Mapping of Molecular, Pathologic, and Radiologic Phenotypes in Lipid-Deficient Clear Cell Renal CellCarcinoma
- Compute the edge p-Laplacian centrality for air traffic network
- CurvaDion: Curvature-Adaptive Distributed Orthonormalization
- Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce
- Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
- Made-in China, Thinking in America:U.S. Values Persist in Chinese LLMs
- Advancing Cache-Based Few-Shot Classification via Patch-Driven Relational Gated Graph Attention
- Policy Optimization for Dynamic Heart Transplant Allocation
- AI-Driven Early Warning Systems for Student Success: Discovering Static Feature Dominance in Temporal Prediction Models
- Adaptive Detector-Verifier Framework for Zero-Shot Polyp Detection in Open-World Settings
- GoMS: Graph of Molecule Substructure Network for Molecule Property Prediction
- The American Ghost in the Machine: How language models align culturally and the effects of cultural prompting
- Mage: Cracking Elliptic Curve Cryptography with Cross-Axis Transformers
- DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge Graphs
- AI-Driven Real-Time Kick Classification in Olympic Taekwondo Using Sensor Fusion
- Sparse Concept Anchoring for Interpretable and Controllable Neural Representations
- Understanding Overparametrization in Survival Models through Interpolation
- Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
- Cross-Modal Representational Knowledge Distillation for Enhanced Spike-Informed LFP Modeling
- From Particles to Fields: Reframing Photon Mapping with Continuous Gaussian Photon Fields
- Optimized Architectures for Kolmogorov-Arnold Networks
- Large language models have learned to use language
- Knowledge-Guided Masked Autoencoder with Linear Spectral Mixing and Spectral-Angle-Aware Reconstruction
- Can GPT replace human raters? Validity and reliability of machine-generated norms for metaphors
- AI Transparency Atlas: Framework, Scoring, and Real-Time Model Card Evaluation Pipeline
- Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data
- Sim2Real Reinforcement Learning for Soccer skills
- Rough Sets for Explainability of Spectral Graph Clustering
- Co-Hub Node Based Multiview Graph Learning with Theoretical Guarantees
- Data-driven modelling of autonomous and forced dynamical systems
- Endless World: Real-Time 3D-Aware Long Video Generation
- Learning Dynamics in Memristor-Based Equilibrium Propagation
- Boosting Monocular Metric Depth Estimation via Bokeh Rendering
- ViInfographicVQA: A Benchmark for Single and Multi-image Visual Question Answering on Vietnamese Infographics
- Understanding Critical Thinking in Generative Artificial Intelligence Use: Development, Validation, and Correlates of the Critical Thinking in AI Use Scale
- Detecting the Disturbance: A Nuanced View of Introspective Abilities in LLMs
- A Graph Attention Network-Based Framework for Reconstructing Missing LiDAR Beams
- Can Graphs Improve Tabular Foundation Models?
- DeepVekua: Geometric-Spectral Representation Learning for Physics-Informed Fields
- ArtGen: Conditional Generative Modeling of Articulated Objects in Arbitrary Part-Level States
- The Morphemic Origin of Zipf's Law: A Factorized Combinatorial Framework
- The Data Efficiency Frontier of Financial Foundation Models: Scaling Laws from Continued Pretraining
- Entropy Collapse: A Universal Failure Mode of Intelligent Systems
- M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
- STAGE: Storyboard-Anchored Generation for Cinematic Multi-shot Narrative
- JPEG-Inspired Cloud-Edge Holography
- ElasticVR: Elastic Task Computing in Multi-User Multi-Connectivity Wireless Virtual Reality (VR) Systems
- Synthetic Swarm Mosquito Dataset for Acoustic Classification: A Proof of Concept
- Towards a pretrained deep learning estimator of the Linfoot informational correlation
- TCLeaf-Net: a transformer-convolution framework with global-local attention for robust in-field lesion-level plant leaf disease detection
- Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
- SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
- Extending the application of dynamic Bayesian networks in calculating market risk: Standard and stressed expected shortfall
- Dynamic Homophily with Imperfect Recall: Modeling Resilience in Adversarial Networks
- Eventually LIL Regret: Almost Sure lnln T Regret for a sub-Gaussian Mixture on Unbounded Data
- UniMark: Artificial Intelligence Generated Content Identification Toolkit
- WeDetect: Fast Open-Vocabulary Object Detection as Retrieval
- MRD: Using Physically Based Differentiable Rendering to Probe Vision Models for 3D Scene Understanding
- OMUDA: Omni-level Masking for Unsupervised Domain Adaptation in Semantic Segmentation
- TwinFormer: A Dual-Level Transformer for Long-Sequence Time-Series Forecasting
- F5-TTS-RO: Extending F5-TTS to Romanian TTS via Lightweight Input Adaptation
- GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search
- Near-Zero-Overhead Freshness for Recommendation Systems via Inference-Side Model Updates
- Robust Outlier Detection and Low-Latency Concept Drift Adaptation for Data Stream Regression: A Dual-Channel Architecture
- Quantum-Aware Generative AI for Materials Discovery: A Framework for Robust Exploration Beyond DFT Biases
- RealDrag: The First Dragging Benchmark with Real Target Image
- Fractional Differential Equation Physics-Informed Neural Network and Its Application in Battery State Estimation
All 151
- Cognitive-YOLO: LLM-Driven Architecture Synthesis from First Principles of Data for Object Detection
- Feature Aggregation for Efficient Continual Learning of Complex Facial Expressions
- Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model
- GRC-Net: Gram Residual Co-attention Net for epilepsy prediction
- Accurate de novo sequencing of the modified proteome with OmniNovo
- Hellinger loss function for Generative Adversarial Networks
- Market-Bench: Evaluating Large Language Models on Introductory Quantitative Trading and Market Dynamics
- A Multi-Axial Mindset for Ontology Design Lessons from Wikidata's Polyhierarchical Structure
- Optimized Learned Count-Min Sketch
- Stochastic Volatility Modelling with LSTM Networks: A Hybrid Approach for S&P 500 Index Volatility Forecasting
- Moment and Highlight Detection via MLLM Frame Segmentation
- Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
- Semantic Distance Measurement based on Multi-Kernel Gaussian Processes
- Resolution-Agnostic Neural Operators for Multi-Rate Sparse-View CT
- Learning to Get Up Across Morphologies: Zero-Shot Recovery with a Unified Humanoid Policy
- Ultra-Low Bitrate Perceptual Image Compression with Shallow Encoder
- A Geometric Theory of Cognition for Machine Intelligence
- Comparison of different segmentation algorithms on brain volume and fractal dimension in infant brain MRIs
- Scalable branch-and-bound model selection with non-monotonic criteria including AIC, BIC and Mallows's mathitCp
- TechImage-Bench: Rubric-Based Evaluation for Technical Image Generation
- Fine-Grained Zero-Shot Learning with Attribute-Centric Representations
- EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
- CineLOG: A Training Free Approach for Cinematic Long Video Generation
- A Hybrid Deep Learning Framework for Emotion Recognition in Children with Autism During NAO Robot-Mediated Interaction
- Not All Transparency Is Equal: Source Presentation Effects on Attention, Interaction, and Persuasion in Conversational Search
- ALERT Open Dataset and Input-Size-Agnostic Vision Transformer for Driver Activity Recognition using IR-UWB
- A Multi-Year Urban Streetlight Imagery Dataset for Visual Monitoring and Spatio-Temporal Drift Detection
- Navigation Around Unknown Space Objects Using Visible-Thermal Image Fusion
- Epistemoverse: Toward an AI-Driven Knowledge Metaverse for Intellectual Heritage Preservation
- Thermal RGB Fusion for Micro-UAV Wildfire Perimeter Tracking with Minimal Comms
- AutoMV: An Automatic Multi-Agent System for Music Video Generation
- SMRABooth: Subject and Motion Representation Alignment for Customized Video Generation
- TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completion
- A Sensing Dataset Protocol for Benchmarking and Multi-Task Wireless Sensing
- Floorplan2Guide: LLM-Guided Floorplan Parsing for BLV Indoor Navigation
- Extending the Context of Pretrained LLMs by Dropping Their Positional Embeddings
- Audio-Visual Camera Pose Estimation with Passive Scene Sounds and In-the-Wild Video
- Keep the Lights On, Keep the Lengths in Check: Plug-In Adversarial Detection for Time-Series LLMs in Energy Forecasting
- Open Horizons: Evaluating Deep Models in the Wild
- MeltwaterBench: Deep learning for spatiotemporal downscaling of surface meltwater
- BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
- Modeling Dabrafenib Response Using Multi-Omics Modality Fusion and Protein Network Embeddings Based on Graph Convolutional Networks
- Approximation with SiLU Networks: Constant Depth and Exponential Rates for Basic Operations
- BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models
- A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery
- High-Dimensional Tensor Discriminant Analysis: Low-Rank Discriminant Structure, Representation Synergy, and Theoretical Guarantees
- Citation-Grounded Code Comprehension: Preventing LLM Hallucination Through Hybrid Retrieval and Graph-Augmented Context
- Neural CDEs as Correctors for Learned Time Series Models
- A Neuro-Symbolic Framework for Accountability in Public-Sector AI
- A Novel Patch-Based TDA Approach for Computed Tomography Imaging
- AI-Augmented Pollen Recognition in Optical and Holographic Microscopy for Veterinary Imaging