Papers
Tue 30 Dec 2025
213 papers
- Higress-RAG: A Holistic Optimization Framework for Enterprise Retrieval-Augmented Generation via Dual Hybrid Retrieval, Adaptive Routing, and CRAGRetrieval-augmented generation → RAG pipeline design and evaluation
- GCG Attack On A Diffusion LLMDiffusion models → Robustness, privacy and adversarial aspects +1
- Multi-Agent LLMs for Generating Research LimitationsLLM agents and tool use → Web, search, and research agents
- GRADE: Replacing Policy Gradients with Backpropagation for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- LLMize: A Framework for Large Language Model-Based Numerical OptimizationLLM reasoning → Test-time compute and efficient thinking
- SmartFlow Reinforcement Learning and Agentic AI for Bike-Sharing OptimisationLLM agents and tool use → Reinforcement learning for LLM agents
- The Silicon Psyche: Anthropomorphic Vulnerabilities in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Evaluating the Reasoning Abilities of LLMs on Underrepresented Mathematics Competition ProblemsLLM reasoning → Mathematical reasoning
- Thinking on Maps: How Foundation Model Agents Explore, Remember, and Reason Map EnvironmentsLLM agents and tool use → Multimodal and embodied agents
- Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model PracticeLLM reasoning → Test-time compute and efficient thinking
- What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?World models → Latent predictive world models
- HOLOGRAPH: Active Causal Discovery via Sheaf-Theoretic Alignment of Large Language Model PriorsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy CompressionEfficient LLM inference and serving → KV cache optimization
- Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive ReasoningLLM reasoning → Chain-of-thought reasoning for driving +2
- Language Model Agents Under Attack: A Cross Model-Benchmark of Profit-Seeking Behaviors in Customer ServiceLLM agents and tool use → General LLM agent frameworks and benchmarks
- DyStream: Streaming Dyadic Talking Heads Generation via Flow Matching-based Autoregressive ModelDiffusion models → Audio, speech and music
- Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice ModelsOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Lifting Vision: Ground to Aerial Localization with Reasoning Guided PlanningLLM reasoning → Spatial and embodied reasoning
- Spatial-aware Vision Language Model for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- World model inspired sarcasm reasoning with large language model agentsLLM reasoning → Multimodal reasoning +1
- QianfanHuijin Technical Report: A Novel Multi-Stage Training Paradigm for Finance Industrial LLMsLLM agents and tool use → Financial trading and forecasting agents
- Real-world Reinforcement Learning from Suboptimal InterventionsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- DRL-TH: Jointly Utilizing Temporal Graph Attention and Hierarchical Fusion for UGV Navigation in Crowded EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video GenerationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- RAGPart & RAGMask: Retrieval-Stage Defenses Against Corpus Poisoning in Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Constrained Language Model Policy Optimization via Risk-aware Stepwise AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Physically-Grounded Manifold Projection Model for Generalizable Metal Artifact Reduction in Dental CBCTDiffusion models → Medical imaging and segmentation
- Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing ProblemDeep reinforcement learning methods → RL for games and combinatorial optimization
- MambaSeg: Harnessing Mamba for Accurate and Efficient Image-Event Semantic SegmentationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Mirage: One-Step Video Diffusion for Photorealistic and Coherent Asset Editing in Driving ScenesDiffusion models → Diffusion and flow policies for robotics
- GR-Dexter Technical ReportVision-language-action models → Human-video and latent-action pretraining
- CorGi: Contribution-Guided Block-Wise Interval Caching for Training-Free Acceleration of Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Guiding a Diffusion Transformer with the Internal Dynamics of ItselfDiffusion models → Diffusion foundations and sampling
- DiffThinker: Towards Generative Multimodal Reasoning with Diffusion ModelsLLM reasoning → Multimodal reasoning +2
- Deep Probabilistic Supervision for Image ClassificationKnowledge distillation → General knowledge distillation methods
- Training Report of TeleChat3-MoEMixture-of-experts → Efficient MoE training and inference systems
- Graph-Based Exploration for ARC-AGI-3 Interactive Reasoning TasksLLM reasoning → Multimodal reasoning
- Large Emotional World ModelWorld models → World models for language agents
- Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Activation Steering for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion +2
- GARDO: Reinforcing Diffusion Models without Reward HackingDiffusion models → Diffusion and flow policies for robotics +2
- Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-trainingLLM reasoning → Spatial and embodied reasoning +1
- GeoBench: Rethinking Multimodal Geometric Problem-Solving via Hierarchical EvaluationLLM reasoning → Spatial and embodied reasoning
- CogRec: A Cognitive Recommender Agent Fusing Large Language Models and Soar for Explainable RecommendationLLM agents and tool use → Agentic recommender systems
- Guided Diffusion-based Generation of Adversarial Objects for Real-World Monocular Depth Estimation AttacksDiffusion models → Diffusion and flow policies for robotics
- RainFusion2.0: Temporal-Spatial Awareness and Hardware-Efficient Block-wise Sparse AttentionDiffusion models → Video generation
- LoongFlow: Directed Evolutionary Search via a Cognitive Plan-Execute-Summarize ParadigmSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- How and Why LLMs Generalize: A Fine-Grained Analysis of LLM Reasoning from Cognitive Behaviors to Low-Level PatternsLLM reasoning → Reasoning benchmarks and evaluation
- Policy Mirror Descent with Temporal Difference Learning: Sample Complexity under Online Markov DataDeep reinforcement learning methods → RL theory and sample complexity
- AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard NegativesLLM reasoning → Hallucination detection and mitigation +1
- Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?LLM safety and security → Jailbreaking
- ROAD: Reflective Optimization via Automated Debugging for Zero-Shot Agent AlignmentLLM agents and tool use → General LLM agent frameworks and benchmarks
- PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video EditingDiffusion models → Video generation
- RSAgent: Learning to Reason and Act for Text-Guided Segmentation via Multi-Turn Tool InvocationsLLM reasoning → Multimodal reasoning
- FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- On Exact Editing of Flow-Based Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- iCLP: Large Language Model Reasoning with Implicit Cognition Latent PlanningLLM reasoning → Reasoning benchmarks and evaluation
- Bridging the Perception-Cognition Gap:Re-engineering SAM2 with Hilbert-Mamba for Robust VLM-based Medical DiagnosisMultimodal LLMs / vision-language models → Medical vision-language models +1
- SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharingLLM agents and tool use → Agent memory systems
- RepetitionCurse: Measuring and Understanding Router Imbalance in Mixture-of-Experts LLMs under DoS StressMixture-of-experts → Expert routing strategies
- PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video GenerationWorld models → Video-generation world models and simulators
- Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning ProcessLLM reasoning → Reasoning benchmarks and evaluation +1
- DriveExplorer: Images-Only Decoupled 4D Reconstruction with Progressive Restoration for Driving View ExtrapolationDiffusion models → Diffusion and flow policies for robotics
- Coding With AI: From a Reflection on Industrial Practices to Future Computer Science and Software Engineering EducationLLM agents and tool use → Software engineering coding agents
- Assured autonomy: How operations research powers and orchestrates generative AI systemsLLM agents and tool use → Agent threats, guardrails and governance
- CEC-Zero: Zero-Supervision Character Error Correction with Self-Generated RewardsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- An Comparative Analysis about KYC on a Recommendation System Toward Agentic Recommendation SystemLLM agents and tool use → Agentic recommender systems
- HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational ModelingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Implicit geometric regularization in flow matching via density weighted Stein operatorsDiffusion models → Flow matching, time series and science
- T2VAttack: Adversarial Attack on Text-to-Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Learnable Query Aggregation with KV Routing for Cross-view Geo-localisationMixture-of-experts → Vision mixture-of-experts
- Soft Fitted Q-Iteration without Bellman Completeness: Occupancy Reweighting and Temperature AnnealingOffline RL and imitation learning from data → Offline RL algorithms +1
- Learning to Anchor Visual Odometry: KAN-Based Pose Regression for Planetary Landing
- Bielik 11B v3: Multilingual Large Language Model for European Languages
- Concept Attractors in LLMs and their Applications
- Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
- Simulation-Free PSRO: Removing Game Simulation from Policy Space Response Oracles
- Automated Reproducibility Has a Problem Statement Problem
- Detecting and Mitigating Treatment Leakage in Text-Based Causal Inference: Distillation and Sensitivity Analysis
- ProSoftArena: Benchmarking Hierarchical Capabilities of Multimodal Agents in Professional Software Environments
- LearnAD: Learning Interpretable Rules for Brain Networks in Alzheimer's Disease Classification
- Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems
- Deep versus Broad Technology Search and the Timing of Innovation Impact
- Cultural Encoding in Large Language Models: The Existence Gap in AI-Mediated Brand Discovery
- A-PINN: Auxiliary Physics-informed Neural Networks for Structural Vibration Analysis in Continuous Euler-Bernoulli Beam
- Distribution Matching for Graph Quantification Under Structural Covariate Shift
- Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery
- Universal Battery Degradation Forecasting Driven by Foundation Model Across Diverse Chemistries and Conditions
- Path Integral Solution for Dissipative Generative Dynamics
- Harvesting AlphaEarth: Benchmarking the Geospatial Foundation Model for Agricultural Downstream Tasks
- Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference
- Using Large Language Models To Translate Machine Results To Human Results
- Paragraph Segmentation Revisited: Towards a Standard Task for Structuring Speech
- Improving the stability of the covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling
- Generalising E-prop to Deep Networks
- Training-Free Color-Aware Adversarial Diffusion Sanitization for Diffusion Stegomalware Defense at Security Gateways
- Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning
- F2IDiff: Real-world Image Super-resolution using Feature to Image Diffusion Foundation Model
All 213
- Foundation models on the bridge: Semantic hazard detection and safety maneuvers for maritime autonomy with vision-language models
- Spectral and Spatial Graph Learning for Multispectral Solar Image Compression
- IELTS Writing Revision Platform with Automated Essay Scoring and Adaptive Feedback
- Cleaning English Abstracts of Scientific Publications
- Privacy-Preserving Semantic Communications via Multi-Task Learning and Adversarial Perturbations
- Generative forecasting with joint probability models
- Adaptive Learning Guided by Bias-Noise-Alignment Diagnostics
- Sparse classification with positive-confidence data in high dimensions
- Towards mechanistic understanding in a data-driven weather model: internal activations reveal interpretable physical features
- Exploring Compositionality in Vision Transformers using Wavelet Representations
- Virasoro Symmetry in Neural Network Field Theories
- AI-Driven Evaluation of Surgical Skill via Action Recognition
- Comparing Approaches to Automatic Summarization in Less-Resourced Languages
- Fast and Realistic Automated Scenario Simulations and Reporting for an Autonomous Racing Stack
- FAST-IDS: A Fast Two-Stage Intrusion Detection System with Hybrid Compression for Real-Time Threat Detection in Connected and Autonomous Vehicles
- RedunCut: Measurement-Driven Sampling and Accuracy Performance Modeling for Low-Cost Live Video Analytics
- Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems
- Geometric Multi-Session Map Merging with Learned Local Descriptors
- Tubular Riemannian Laplace Approximations for Bayesian Neural Networks
- Implicit score matching meets denoising score matching: improved rates of convergence and log-density Hessian estimation
- Skim-Aware Contrastive Learning for Efficient Document Representation
- A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering
- FedSecureFormer: A Fast, Federated and Secure Transformer Framework for Lightweight Intrusion Detection in Connected and Autonomous Vehicles
- DermaVQA-DAS: Dermatology Assessment Schema (DAS) & Datasets for Closed-Ended Question Answering & Segmentation in Patient-Generated Dermatology Images
- The Mechanics of CNN Filtering with Rectification
- OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers
- Topological Spatial Graph Coarsening
- MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems
- Empower Low-Altitude Economy: A Reliability-Aware Dynamic Weighting Allocation for Multi-modal UAV Beam Prediction
- Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention
- UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots
- Generative Video Compression: Towards 0.01% Compression Rate for Video Transmission
- Figure It Out: Improve the Frontier of Reasoning with Executable Visual States
- Virtual-Eyes: Quantitative Validation of a Lung CT Quality-Control Pipeline for Foundation-Model Cancer Risk Prediction
- Fast reconstruction-based ROI triggering via anomaly detection in the CYGNO optical TPC
- Automated Analysis of Sustainability Reports: Using Large Language Models for the Extraction and Prediction of EU Taxonomy-Compliant KPIs
- One-shot synthesis of rare gastrointestinal lesions improves diagnostic accuracy and clinical training
- LiftProj: Space Lifting and Projection-Based Panorama Stitching
- Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning
- Tracing the Flow of Knowledge From Science to Technology Using Deep Learning
- Early Prediction of Sepsis using Heart Rate Signals and Genetic Optimized LSTM Algorithm
- LAILA: A Large Trait-Based Dataset for Arabic Automated Essay Scoring
- MotivNet: Evolving Meta-Sapiens into an Emotionally Intelligent Foundation Model
- ARM: A Learnable, Plug-and-Play Module for CLIP-based Open-vocabulary Semantic Segmentation
- Medical Image Classification on Imbalanced Data Using ProGAN and SMA-Optimized ResNet: Application to COVID-19
- RANGER: A Monocular Zero-Shot Semantic Navigation Framework through Visual Contextual Adaptation
- Micro-Macro Tensor Neural Surrogates for Uncertainty Quantification in Collisional Plasma
- PointRAFT: 3D deep learning for high-throughput prediction of potato tuber weight from partial point clouds
- SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents
- MedKGI: Iterative Differential Diagnosis with Medical Knowledge Graphs and Information-Guided Inquiring
- Variational Quantum Brushes
- Deep Global Clustering for Hyperspectral Image Segmentation: Concepts, Applications, and Open Challenges
- Towards Open-Vocabulary Industrial Defect Understanding with a Large-Scale Multimodal Dataset
- Developing controlled natural language for formal specification patterns using AI assistants
- Fast Score-Based Sampling via Log-Concave Reductions
- When Does Pairing Seeds Reduce Variance? Evidence from a Multi-Agent Economic Simulation
- Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
- OptRot: Mitigating Weight Outliers via Data-Free Rotations for Post-Training Quantization
- Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
- Targeted Semantic Segmentation of Himalayan Glacial Lakes Using Time-Series SAR: Towards Automated GLOF Early Warning
- Quantitative Understanding of PDF Fits and their Uncertainties
- Constructive Approximation of Random Process via Stochastic Interpolation Neural Network Operators
- Multilevel Fair Allocation with Matroid-Rank Preferences
- Enhancing LLM Planning Capabilities through Intrinsic Self-Critique
- Autoregressivity in the Latent Space of a GP-VAE Language Model: An Empirical Ablation Study
- Think Before You Move: Latent Motion Reasoning for Text-to-Motion Generation
- Training a Huggingface Model on AWS Sagemaker (Without Tears)
- Factorized Learning for Temporally Grounded Video-Language Models
- HY-MT1.5 Technical Report
- FedLiTeCAN : A Federated Lightweight Transformer for Fast and Robust CAN Bus Intrusion Detection
- Random Multiplexing
- Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction
- Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images
- Time-varying Mixing Matrix Design for Energy-efficient Decentralized Federated Learning
- Pathology Context Recalibration Network for Ocular Disease Recognition
- Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
- Energy-Balanced Hyperspherical Graph Representation Learning via Structural Binding and Entropic Dispersion
- Beyond Hallucinations: A Composite Score for Measuring Reliability in Open-Source Large Language Models
- Kidney Exchange: Faster Parameterized Algorithms and Tighter Lower Bounds
- Reinforced Diffusion: Learning to Push the Limits of Anisotropic Diffusion for Image Denoising
- One-Shot Structured Pruning of Quantum Neural Networks via q-Group Engineering and Quantum Geometric Metrics
- Structure-Guided Allocation of 2D Gaussians for Image Representation and Compression
- FitControler: Toward Fit-Aware Virtual Try-On
- TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems
- Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
- WISE: Web Information Satire and Fakeness Evaluation
- Improved 3D Gaussian Splatting of Unknown Spacecraft Structure Using Space Environment Illumination Knowledge
- MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation
- GCA-ResUNet: Medical Image Segmentation Using Grouped Coordinate Attention
- MeLeMaD: Adaptive Malware Detection via Chunk-wise Feature Selection and Meta-Learning
- Anomaly detection in satellite imagery through temporal inpainting
- Information-Theoretic Quality Metric of Low-Dimensional Embeddings
- Fundamental limits for weighted empirical approximations of tilted distributions
- Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
- Exploring the Potential of Spiking Neural Networks in UWB Channel Estimation
- A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence
- Efficient Context Scaling with LongCat ZigZag Attention
- DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
- U-Net-Like Spiking Neural Networks for Single Image Dehazing
- DivQAT: Enhancing Robustness of Quantized Convolutional Neural Networks against Model Extraction Attacks
- Improved Balanced Classification with Theoretically Grounded Loss Functions
- Statistical Guarantees in the Search for Less Discriminatory Algorithms
- Kinematic-Based Assessment of Surgical Actions in Microanastomosis
- Disentangling Learning from Judgment: Representation Learning for Open Response Analytics
- MGML: A Plug-and-Play Meta-Guided Multi-Modal Learning Framework for Incomplete Multimodal Brain Tumor Segmentation
- A Proof-of-Concept for Explainable Disease Diagnosis Using Large Language Models and Answer Set Programming
- Assessing generative modeling approaches for free energy estimates in condensed matter
- Interactive Machine Learning: From Theory to Scale
- Learning to learn skill assessment for fetal ultrasound scanning
- Tensor Computing Interface: An Application-Oriented, Lightweight Interface for Portable High-Performance Tensor Network Applications
- Constraint Breeds Generalization: Temporal Dynamics as an Inductive Bias
- A multimodal Transformer for InSAR-based ground deformation forecasting with cross-site generalization across Europe
- Rethinking Dense Linear Transformations: Stagewise Pairwise Mixing (SPM) for Near-Linear Training in Neural Networks