Papers
Wed 31 Dec 2025
216 papers
- SAC-NeRF: Adaptive Ray Sampling for Neural Radiance Fields via Soft Actor-Critic Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Speculative Decoding: Performance or Illusion?Efficient LLM inference and serving → Speculative decoding
- From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data SynthesisSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- UR-Bench: A Benchmark for Multi-Hop Reasoning over Ultra-High-Resolution ImagesLLM reasoning → Multimodal reasoning +1
- AzeroS: Extending LLM to Speech with Self-Generated Instruction-Free TuningSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target RecognitionLLM safety and security → Federated unlearning and poisoning
- Dichotomous Diffusion Policy OptimizationDiffusion models → Diffusion and flow policies for robotics
- Enhancing Retrieval-Augmented Generation with Topic-Enriched Embeddings: A Hybrid Approach Integrating Traditional NLP TechniquesRetrieval-augmented generation → Generation and context integration
- VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty DecompositionLLM reasoning → Multimodal reasoning +1
- Counterfactual Self-Questioning for Stable Policy Optimization in Language ModelsSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Explicit Abstention Knobs for Predictable Reliability in Video Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory ControlLLM agents and tool use → Social simulation and multi-agent debate
- GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- The Agentic Leash: Extracting Causal Feedback Fuzzy Cognitive Maps with LLMsLLM agents and tool use → Medical and scientific domain agents
- Spatial4D-Bench: A Versatile 4D Spatial Intelligence BenchmarkLLM reasoning → Spatial and embodied reasoning
- It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Reinforcement learning with timed constraints for robotics motion planningDeep reinforcement learning methods → Interpretable and logic-guided RL
- RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule LearningLLM agents and tool use → Tool learning and function calling
- TeleWorld: Towards Dynamic Multimodal Synthesis with a 4D World ModelWorld models → Video-generation world models and simulators
- Large Empirical Case Study: Go-Explore adapted for AI Red Team TestingLLM agents and tool use → Agent threats, guardrails and governance +1
- SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and TimeDiffusion models → Video generation
- Scaling Open-Ended Reasoning to Predict the FutureLLM reasoning → Time series reasoning
- Context-aware LLM-based AI Agents for Human-centered Energy Management Systems in Smart BuildingsLLM agents and tool use → Financial trading and forecasting agents
- AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Modeling Language as a Sequence of ThoughtsLLM reasoning → Test-time compute and efficient thinking
- ResponseRank: Data-Efficient Reward Modeling through Preference Strength LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Diffusion Language Models are Provably Optimal Parallel SamplersDiffusion models → Discrete and text diffusion
- DarkQA: Benchmarking Vision-Language Models on Visual-Primitive Question Answering in Low-Light Indoor ScenesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Attribution-Guided Distillation of Matryoshka Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- ShowUI-π: Flow-based Generative Models as GUI Dexterous HandsLLM agents and tool use → GUI and mobile agents
- AMAP Agentic Planning Technical ReportLLM agents and tool use → General LLM agent frameworks and benchmarks
- MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing ControlDeep reinforcement learning methods → RL theory and sample complexity
- ProDM: Synthetic Reality-driven Property-aware Progressive Diffusion Model for Coronary Calcium Motion Correction in Non-gated Chest CTDiffusion models → Medical imaging and segmentation
- HaineiFRDM: Structure-Preserving Diffusion for Film Restoration under Fast Motion and Diverse DefectsDiffusion models → Inverse problems and image restoration
- Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value ApproachDiffusion models → Diffusion foundations and sampling
- FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step ComputationLLM reasoning → Reasoning for agents, planning and code +1
- Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning EcosystemLLM agents and tool use → Reinforcement learning for LLM agents
- VLN-MME: Diagnosing MLLMs as Language-guided Visual Navigation agentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Triangulation as an Acceptance Rule for Multilingual Mechanistic InterpretabilityMechanistic interpretability → Knowledge and representations inside LLMs
- Unregularized Linear Convergence in Zero-Sum Game from Preference FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Learning Temporally Consistent Turbulence Between Sparse Snapshots via Diffusion ModelsDiffusion models → Flow matching, time series and science
- Compute-Accuracy Pareto Frontiers for Open-Source Reasoning Large Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Sparse Offline Reinforcement Learning with Corruption RobustnessOffline RL and imitation learning from data → Offline RL algorithms
- AstroReview: An LLM-driven Multi-Agent Framework for Telescope Proposal Peer Review and RefinementLLM agents and tool use → Web, search, and research agents
- Control of Microrobots with Reinforcement Learning under On-Device Compute ConstraintsDeep reinforcement learning methods → Spiking and neuromorphic RL
- MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated RecommendationDiffusion models → Diffusion recommenders
- LSRE: Latent Semantic Rule Encoding for Real-Time Semantic Risk Detection in Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- MUSIC: MUlti-Step Instruction Contrast for Multi-Turn Reward ModelsLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- R-Debater: Retrieval-Augmented Debate Generation through Argumentative MemoryRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- VLA-RAIL: A Real-Time Asynchronous Inference Linker for VLA Models and RobotsVision-language-action models → Efficient VLA inference and adaptation
- HeteroHBA: A Generative Structure-Manipulating Backdoor Attack on Heterogeneous GraphsLLM safety and security → Backdoor and data poisoning attacks
- RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied IntelligenceOffline RL and imitation learning from data → Robot manipulation imitation learning
- Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- How Do Agentic AI Systems Deal With Software Energy Concerns? A Pull Request-Based StudyLLM agents and tool use → Software engineering coding agents
- How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull RequestsLLM agents and tool use → Software engineering coding agents
- Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic SpaceLLM reasoning → Test-time compute and efficient thinking
- Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy OptimizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Group Deliberation Oriented Multi-Agent Conversational Model for Complex ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Reinforcement Learning-Augmented LLM Agents for Collaborative Decision Making and Performance OptimizationLLM agents and tool use → Reinforcement learning for LLM agents
- Recursive Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Understanding and Steering the Cognitive Behaviors of Reasoning Models at Test-TimeLLM reasoning → Test-time compute and efficient thinking
- Korean Canonical Legal Benchmark: Toward Knowledge-Independent Evaluation of LLMs' Legal Reasoning CapabilitiesLLM reasoning → Reasoning for agents, planning and code
- MCPAgentBench: A Real-world Task Benchmark for Evaluating LLM Agent MCP Tool UseLLM agents and tool use → Tool learning and function calling
- Safe in the Future, Dangerous in the Past: Dissecting Temporal and Linguistic Vulnerabilities in LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- From Perception to Punchline: Empowering VLM with the Art of In-the-wild MemeLLM reasoning → Multimodal reasoning
- PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- From Building Blocks to Planning: Multi-Step Spatial Reasoning in LLMs with Reinforcement LearningLLM reasoning → Spatial and embodied reasoning
- SEGB: Self-Evolved Generative Bidding with Local Autoregressive Diffusion
- Developmental trajectories of decision making and affective dynamics in large language models
- From Chaos to Clarity: Schema-Constrained AI for Auditable Biomedical Evidence Extraction from Full-Text PDFs
- GenAITEd Ghana: A First-of-Its-Kind Context-Aware and Curriculum-Aligned Conversational AI Agent for Teacher Education
- Islamic Chatbots in the Age of Large Language Models
- PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction
- Defense Against Synthetic Speech: Real-Time Detection of RVC Voice Conversion Attacks
- PCEval: A Benchmark for Evaluating Physical Computing Capabilities of Large Language Models
- Spiking Heterogeneous Graph Attention Networks
- Placenta Accreta Spectrum Detection using Multimodal Deep Learning
- Evaluating Contextual Intelligence in Recyclability: A Comprehensive Study of Image-Based Reasoning Systems
- Deep Deterministic Nonlinear ICA via Total Correlation Minimization with Matrix-Based Entropy Functional
- CornViT: A Multi-Stage Convolutional Vision Transformer Framework for Hierarchical Corn Kernel Analysis
- Investigation into U.S. Citizen and Non-Citizen Worker Health Insurance and Employment
- Deep Learning Framework for RNA Inverse Folding with Geometric Structure Potentials
- When to Ponder: Adaptive Compute Allocation for Code Generation via Test-Time Training
- Towards eco friendly cybersecurity: machine learning based anomaly detection with carbon and energy metrics
- Hierarchical topological clustering
- FANoS-v2: Feedback-Controlled Momentum with Thermostat Damping for Lightweight Neural Optimization
- Comparative Evaluation of CNN Architectures for Neural Style Transfer in Indonesian Batik Motif Generation: A Comprehensive Study
- Outlier Detection Using Vector Cosine Similarity by Adding a Dimension
- Universal Conditional Logic: A Formal Language for Prompt Engineering
- VL-OrdinalFormer: Vision Language Guided Ordinal Transformers for Interpretable Knee Osteoarthritis Grading
- Compressed Map Priors for 3D Perception
- Democratizing Electronic-Photonic AI Systems: An Open-Source AI-Infused Cross-Layer Co-Design and Design Automation Toolflow
- Toward Large-Scale Photonics-Empowered AI Systems: From Physical Design Automation to System-Algorithm Co-Exploration
- Constructing a Neuro-Symbolic Mathematician from First Principles
- A Spatially Masked Adaptive Gated Network for multimodal post-flood water extent mapping using SAR and incomplete multispectral data
- Mortar: Evolving Mechanics for Automatic Game Design
- Learning Speech Representations with Variational Predictive Coding
- Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning
All 216
- Dynamic Bayesian Optimization Framework for Instruction Tuning in Partial Differential Equation Discovery
- Exploration in the Limit
- Cuffless, calibration-free hemodynamic monitoring with physics-informed machine learning models
- IMBWatch -- a Spatio-Temporal Graph Neural Network approach to detect Illicit Massage Business
- Automated electrostatic characterization of quantum dot devices in single- and bilayer heterostructures
- When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models
- Group Cross-Correlations with Faintly Constrained Filters
- Deep Learning Approach for the Diagnosis of Pediatric Pneumonia Using Chest X-ray Imaging
- GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction
- Coordinated Humanoid Manipulation with Choice Policies
- Edit3r: Instant 3D Scene Editing from Sparse Unposed Images
- FineTec: Fine-Grained Action Recognition Under Temporal Corruption via Skeleton Decomposition and Sequence Completion
- From Inpainting to Editing: Unlocking Robust Mask-Free Visual Dubbing via Generative Bootstrapping
- Vulcan: Instance-specialized, Verifiable Systems Heuristics Through LLM-driven Search
- Many Minds from One Model: Bayesian-Inspired Transformers for Population Diversity
- On the geometry and topology of representations: the manifolds of modular addition
- Reliable and Resilient Collective Communication Library for LLM Training and Serving
- Generative Classifiers Avoid Shortcut Solutions
- Convergence of the generalization error for deep gradient flow methods for PDEs
- MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes
- FoundationSLAM: Unleashing the Power of Depth Foundation Models for End-to-End Dense Visual SLAM
- Bi-C2R: Bidirectional Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification
- Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis
- Classifying long legal documents using short random chunks
- Efficiently Estimating Data Efficiency for Language Model Fine-tuning
- PhysTalk: Language-driven Real-time Physics in 3D Gaussian Scenes
- A Modal Logic for Possibilistic Reasoning with Fuzzy Formal Contexts
- SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets
- Evaluating the Impact of Compression Techniques on the Robustness of CNNs under Natural Corruptions
- Large language models and the entropy of English
- Strategic Response of News Publishers to Generative AI
- Semi-overlapping Multi-bandit Best Arm Identification for Sequential Support Network Learning
- Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning
- CPJ: Explainable Agricultural Pest Diagnosis via Caption-Prompt-Judge with LLM-Judged Refinement
- RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment
- Iterative Deployment Improves Planning Skills in LLMs
- Vibe Coding, Interface Flattening
- ADOPT: Adaptive Dependency-Guided Joint Prompt Optimization for Multi-Step LLM Pipelines
- Semi-Supervised Diversity-Aware Domain Adaptation for 3D Object detection
- Frequent subgraph-based persistent homology for graph classification
- AI-Driven Cloud Resource Optimization for Multi-Cluster Environments
- Spectral Graph Neural Networks for Cognitive Task Classification in fMRI Connectomes
- PRISM: A hierarchical multiscale approach for time series forecasting
- Semi-Automated Data Annotation in Multisensor Datasets for Autonomous Vehicle Testing
- Towards autonomous time-calibration of large quantum-dot devices: Detection, real-time feedback, and noise spectroscopy
- BEDA: Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts
- mHC: Manifold-Constrained Hyper-Connections
- Encyclo-K: Evaluating LLMs with Dynamically Composed Knowledge Statements
- Characterization of Transfer Using Multi-task Learning Curves
- Big AI is accelerating the metacrisis: What can we do?
- OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation
- A study on constraint extraction and exception exclusion in care worker scheduling
- PrivacyBench: A Conversational Benchmark for Evaluating Privacy in Personalized AI
- AODDiff: Probabilistic Reconstruction of Aerosol Optical Depth via Diffusion-based Bayesian Inference
- CropTrack: A Tracking with Re-Identification Framework for Precision Agriculture
- GenZ: Foundational models as latent variable generators within traditional statistical models
- Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences
- Inter-Agent Relative Representations for Multi-Agent Option Discovery
- Video and Language Alignment in 2D Systems for 3D Multi-object Scenes with Multi-Information Derivative-Free Control
- Practising responsibility: Ethics in NLP as a hands-on course
- DTI-GP: Bayesian operations for drug-target interactions using deep kernel Gaussian processes
- Limits of quantum generative models with classical sampling hardness
- LeanCat: A Benchmark Suite for Formal Category Theory in Lean (Part I: 1-Categories)
- Nonlinear Noise2Noise for Efficient Monte Carlo Denoiser Training
- Self-Supervised Neural Architecture Search for Multimodal Deep Neural Networks
- Projection-based Adversarial Attack using Physics-in-the-Loop Optimization for Monocular Depth Estimation
- HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent
- Gradient Descent as Implicit EM in Distance-Based Neural Models
- Uncertainty-aware Semi-supervised Ensemble Teacher Framework for Multilingual Depression Detection
- From Trial to Deployment: A SEM Analysis of Traveler Adoptions to Fully Operational Autonomous Taxis
- Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow
- UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning
- Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
- Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression
- BIOME-Bench: A Benchmark for Biomolecular Interaction Inference and Multi-Omics Pathway Mechanism Elucidation from Scientific Literature
- EchoFoley: Event-Centric Hierarchical Control for Video Grounded Creative Sound Generation
- FlowBlending: Stage-Aware Multi-Model Sampling for Fast and High-Fidelity Video Generation
- FPGA Co-Design for Efficient N:M Sparse and Quantized Model Inference
- BandiK: Efficient Multi-Task Decomposition Using a Multi-Bandit Framework
- Evolving, Not Training: Zero-Shot Reasoning Segmentation via Evolutionary Prompting
- Causal Discovery with Mixed Latent Confounding via Precision Decomposition
- Nested Learning: The Illusion of Deep Learning Architectures
- Mobility-Assisted Decentralized Federated Learning: Convergence Analysis and A Data-Driven Approach
- Quantum Visual Word Sense Disambiguation: Unraveling Ambiguities Through Quantum Inference Model
- BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis
- Multi-modal cross-domain mixed fusion model with dual disentanglement for fault diagnosis under unseen working conditions
- A New Decomposition Paradigm for Graph-structured Nonlinear Programs via Message Passing
- An Adaptive, Disentangled Representation for Multidimensional MRI Reconstruction
- Renormalization Group Guided Tensor Network Structure Search
- Do Large Language Models Know What They Are Capable Of?
- Diagnosing Heteroskedasticity and Resolving Multicollinearity Paradoxes in Physicochemical Property Prediction
- From Sequential to Spatial: Reordering Autoregression for Efficient Visual Generation
- DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
- Soliton profiles: Classical Numerical Schemes vs. Neural Network - Based Solvers
- AI-Driven Acoustic Voice Biomarker-Based Hierarchical Classification of Benign Laryngeal Voice Disorders from Sustained Vowels
- AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt
- FireRescue: A UAV-Based Dataset and Enhanced YOLO Model for Object Detection in Fire Rescue Scenes
- LLHA-Net: A Hierarchical Attention Network for Two-View Correspondence Learning
- Chat-Driven Optimal Management for Virtual Network Services
- MoniRefer: A Real-world Large-scale Multi-modal Dataset based on Roadside Infrastructure for 3D Visual Grounding
- Collaborative Low-Rank Adaptation for Pre-Trained Vision Transformers
- 3D Semantic Segmentation for Post-Disaster Assessment
- GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks
- Improving Few-Shot Change Detection Visual Question Answering via Decision-Ambiguity-guided Reinforcement Fine-Tuning
- MultiRisk: Multiple Risk Control via Iterative Score Thresholding
- SynRAG: A Large Language Model Framework for Executable Query Generation in Heterogeneous SIEM System
- CPR: Causal Physiological Representation Learning for Robust ECG Analysis under Distribution Shifts
- HaluNet: Learning Hallucination Risk from Internal Signals in LLM Question Answering
- RGBT-GroundBench: Visual Grounding Beyond RGB in Complex Real-World Scenarios
- Localized Calibrated Uncertainty in Code Language Models
- Probabilistic Computers for Neural Quantum States
- OCP-GN: A Scalable Second-order Optimizer for Stochastic Optimization
- Hierarchical Vector-Quantized Latents for Perceptual Low-Resolution Video Compression
- More Than Bits: Multi-Envelope Double Binary Factorization for Extreme Quantization
- A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction
- Generative AI-enhanced Sector-based Investment Portfolio Construction