Papers

New on arXiv

Sun 4 Jan 2026

169 papers

LAPS: A Length-Aware-Prefill LLM Serving SystemEfficient LLM inference and serving → Serving systems and request scheduling
COVR:Collaborative Optimization of VLMs and RL Agent for Visual-Based ControlLLM agents and tool use → Reinforcement learning for LLM agents
SAGE-32B: Agentic Reasoning via Iterative DistillationLLM reasoning → Reasoning for agents, planning and code +1
SmoothSync: Dual-Stream Diffusion Transformers for Jitter-Robust Beat-Synchronized Gesture Generation from Quantized AudioDiffusion models → Audio, speech and music
How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored ReferenceLLM safety and security → Jailbreaking
A Dynamic Retrieval-Augmented Generation System with Selective Memory and RemembranceRetrieval-augmented generation → RAG pipeline design and evaluation
NitroGen: An Open Foundation Model for Generalist Gaming AgentsLLM agents and tool use → Reinforcement learning for LLM agents
Watch Wider and Think Deeper: Collaborative Cross-modal Chain-of-Thought for Complex Visual ReasoningLLM reasoning → Multimodal reasoning
DiMEx: Breaking the Cold Start Barrier in Data-Free Model Extraction via Latent Diffusion PriorsDiffusion models → Robustness, privacy and adversarial aspects
Lying with Truths: Open-Channel Multi-Agent Collusion for Belief Manipulation via Generative MontageLLM reasoning → Reasoning for agents, planning and code +1
HeurekaBench: A Benchmarking Framework for AI Co-scientistLLM reasoning → Reasoning for agents, planning and code +1
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple ObjectivesDeep reinforcement learning methods → RL for games and combinatorial optimization
How Does Prefix Matter in Reasoning Model Tuning?LLM reasoning → Test-time compute and efficient thinking
Action-Sketcher: From Reasoning to Action via Visual Sketches for Long-Horizon Robotic ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
Structured Decomposition for LLM Reasoning: Cross-Domain Validation and Semantic Web IntegrationLLM reasoning → Clinical and biomedical applications
Guiding Token-Sparse Diffusion ModelsDiffusion models → Diffusion foundations and sampling
Variance-Reduced Diffusion Sampling via Target Score IdentityDiffusion models → Diffusion foundations and sampling
OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
HanoiWorld : A Joint Embedding Predictive Architecture BasedWorld Model for Autonomous Vehicle ControllerWorld models → World models for autonomous driving +2
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty AssessmentLLM agents and tool use → Web, search, and research agents
CaveAgent: Transforming LLMs into Stateful Runtime OperatorsLLM agents and tool use → Software engineering coding agents
Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge EnhancementLLM reasoning → Reasoning benchmarks and evaluation
Vision-language models lag human performance on physical dynamics and intent reasoningLLM reasoning → Spatial and embodied reasoning +1
Aletheia: Quantifying Cognitive Conviction in Reasoning Models via Regularized Inverse Confusion MatrixLLM reasoning → Mathematical reasoning
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous DrivingWorld models → World models for autonomous driving +1
Bayesian Orchestration of Multi-LLM Agents for Cost-Aware Sequential Decision-MakingLLM agents and tool use → General LLM agent frameworks and benchmarks
FastV-RAG: Towards Fast and Fine-Grained Video QA with Retrieval-Augmented GenerationLLM reasoning → Multimodal reasoning +3
DiffKD-DCIS: Predicting Upgrade of Ductal Carcinoma In Situ with Diffusion Augmentation and Knowledge DistillationDiffusion models → Medical imaging and segmentation
From Failure to Mastery: Generating Hard Samples for Tool-use AgentsLLM agents and tool use → Tool learning and function calling
Distortion Instead of Hallucination: The Effect of Reasoning Under Strict ConstraintsLLM reasoning → Hallucination detection and mitigation
DeepInv: A Novel Self-supervised Learning Approach for Fast and Accurate Diffusion InversionDiffusion models → Inverse problems and image restoration
SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and GuidelinesKnowledge distillation → General knowledge distillation methods
Unified Generation and Self-Verification for Vision-Language Models via Advantage Decoupled Preference OptimizationLLM reasoning → Reinforcement learning for reasoning +2
Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of ExpertsDiffusion models → Diffusion foundations and sampling +1
Context-Aware Information Transfer via Digital Semantic Communication in UAV-Based NetworksDeep reinforcement learning methods → RL for robot navigation and UAV control
DreamID-V:Bridging the Image-to-Video Gap for High-Fidelity Face Swapping via Diffusion TransformerDiffusion models → Video generation
AirSpatialBot: A Spatially-Aware Aerial Agent for Fine-Grained Vehicle Attribute Recognization and RetrievalMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
From Emotion Classification to Emotional Reasoning: Enhancing Emotional Intelligence in Large Language ModelsLLM reasoning → Audio-language model reasoning
EternalMath: A Living Benchmark of Frontier Mathematics that Evolves with Human DiscoveryLLM reasoning → Mathematical reasoning
Empowering Small Language Models with Factual Hallucination-Aware Reasoning for Financial ClassificationLLM reasoning → Reasoning for agents, planning and code
KGCE: Knowledge-Augmented Dual-Graph Evaluator for Cross-Platform Educational Agent Benchmarking with Multimodal Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflowsLLM agents and tool use → Web, search, and research agents
Reasoning Over Recall: Evaluating the Efficacy of Generalist Architectures vs. Specialized Fine-Tunes in RAG-Based Mental Health Dialogue SystemsLLM reasoning → Clinical and biomedical applications +1
FLOP-Efficient Training: Early Stopping Based on Test-Time Compute AwarenessLLM reasoning → Test-time compute and efficient thinking
LinMU: Multimodal Understanding Made LinearMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
Digital Twin AI: Opportunities and Challenges from Large Language Models to World ModelsWorld models → World models for language agents
Making MoE-based LLM Inference Resilient with TarragonMixture-of-experts → Efficient MoE training and inference systems
Signal in the Noise: Decoding the Reality of Airline Service Quality with Large Language Models
A Koopman-Bayesian Framework for High-Fidelity, Perceptually Optimized Haptic Surgical Simulation
Graph-Based Analysis of AI-Driven Labor Market Transitions: Evidence from 10,000 Egyptian Jobs and Policy Implications
AIS-CycleGen: A CycleGAN-Based Framework for High-Fidelity Synthetic AIS Data Generation and Augmentation
NL2Dashboard: A Lightweight and Controllable Framework for Generating Dashboards with LLMs
Learning Minimally-Congested Drive Times from Sparse Open Networks: A Lightweight RF-Based Estimator for Urban Roadway Operations
Latent Space Communication via K-V Cache Alignment
Prompt Engineering for Responsible Generative AI Use in African Education: A Report from a Three-Day Training Series
Actively Obtaining Environmental Feedback for Autonomous Action Evaluation Without Predefined Measurements
Formal Analysis of AGI Decision-Theoretic Models and the Confrontation Question
Automated Post-Incident Policy Gap Analysis via Threat-Informed Evidence Mapping using Large Language Models
A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design
Learnability-Driven Submodular Optimization for Active Roadside 3D Detection
Enhanced Multi-model Online Conformal Prediction
Mitigating Longitudinal Performance Degradation in Child Face Recognition Using Synthetic Data
FALCON: Few-Shot Adversarial Learning for Cross-Domain Medical Image Segmentation
LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum
Evaluating Deep Learning-Based Face Recognition for Infants and Toddlers: Impact of Age Across Developmental Stages
Simplex Deep Linear Discriminant Analysis
Trustworthy Data-Driven Wildfire Risk Prediction and Understanding in Western Canada
LabelAny3D: Label Any Object 3D in the Wild
Exposing Hidden Interfaces: LLM-Guided Type Inference for Reverse Engineering macOS Private Frameworks
EHRSummarizer: A Privacy-Aware, FHIR-Native Reference Architecture for Source-Grounded EHR Summarization
Who is the Winning Algorithm? Rank Aggregation for Comparative Studies
Length-Aware Adversarial Training for Variable-Length Trajectories: Digital Twins for Mall Shopper Paths
Animated 3DGS Avatars in Diverse Scenes with Consistent Lighting and Shadows
UniCrop: A Universal, Multi-Source Data Engineering Pipeline for Scalable Crop Yield Prediction
Learning Resilient Elections with Adversarial GNNs
Communication-Efficient Federated AUC Maximization with Cyclic Client Participation
An Empirical Study of Monocular Human Body Measurement Under Weak Calibration
JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese Large Language Models
The Gray Area: Characterizing Moderator Disagreement on Reddit
Deep Linear Discriminant Analysis Revisited
Real Time NILM Based Power Monitoring of Identical Induction Motors Representing Cutting Machines in Textile Industry
CAP-IQA: Context-Aware Prompt-Guided CT Image Quality Assessment
REE-TTT: Highly Adaptive Radar Echo Extrapolation Based on Test-Time Training
grangersearch: An R Package for Exhaustive Granger Causality Testing with Tidyverse Integration
From Theory of Mind to Theory of Environment: Counterfactual Simulation of Latent Environmental Dynamics
Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation
Identifying recurrent flows in high-dimensional dissipative chaos from low-dimensional embeddings
Learning Relationship between Quantum Walks and Underdamped Langevin Dynamics
Steerability of Instrumental-Convergence Tendencies in LLMs
CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty
The Two-Stage Decision-Sampling Hypothesis: Understanding the Emergence of Self-Reflection in RL-Trained LLMs
MM-Sonate: Multimodal Controllable Audio-Video Generation with Zero-Shot Voice Cloning
Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings
MOSS Transcribe Diarize Technical Report
HalluZig: Hallucination Detection using Zigzag Persistence
Improving Behavioral Alignment in LLM Social Simulations via Context Formation and Navigation
Bridging the Data Gap: Creating a Hindi Text Summarization Dataset from the English XSUM
Sim2Real SAR Image Restoration: Metadata-Driven Models for Joint Despeckling and Sidelobes Reduction
FAR-AMTN: Attention Multi-Task Network for Face Attribute Recognition
Improving Flexible Image Tokenizers for Autoregressive Image Generation

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