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arXiv cs.AI Research & Papers
Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals
arXiv cs.AI Research & Papers
SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction
arXiv cs.AI Research & Papers
GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models
arXiv cs.AI Research & Papers
Design and Report Benchmarks for Knowledge Work
arXiv cs.AI Research & Papers
Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preferen…
arXiv cs.AI Security & Safety
MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structura…
arXiv cs.AI Research & Papers
Learning Individual Dynamics from Sparse Cross-Sectional Snapshots
arXiv cs.AI Research & Papers
When Do LLMs Reason? A Dynamical Systems View via Entropy Phase Transitions
arXiv cs.AI Research & Papers
DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks
arXiv cs.AI Research & Papers
Anytime Training with Schedule-Free Spectral Optimization
arXiv cs.AI Research & Papers
Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics
arXiv cs.AI Research & Papers
CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection
arXiv cs.AI Research & Papers
Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Flo…
arXiv cs.AI Security & Safety
Security of LLM-generated Code: A Comparative Analysis
arXiv cs.AI Research & Papers
SimInsert: Seamless Video Object Insertion via Regional Sparse Attention Fusion
arXiv cs.AI Security & Safety
PoisonForge: Task-Level Targeted Poisoning Benchmark for Instruction-Tuned LLMs
arXiv cs.AI Research & Papers
Enhancing Deep Neural Network Reliability with Refinement and Calibration
arXiv cs.AI Research & Papers
Score-Based One-step MeanFlow Policy Optimization
arXiv cs.AI Research & Papers
PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogrammin…
arXiv cs.AI Research & Papers
Multi-Gate Residuals
arXiv cs.AI Research & Papers
Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution
arXiv cs.AI Research & Papers
Reinforcement Learning for Microcanonical Graph Ensemble with Assortativity Constraints
arXiv cs.AI Research & Papers
Curriculum reinforcement learning with measurable task representation learning
arXiv cs.AI Research & Papers
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasti…
arXiv cs.AI Research & Papers
Socially fluent AI decouples conversational signals from source identity in online intera…
arXiv cs.AI Research & Papers
Reflex: Reinforcement Learning with Reflection Symmetry Exploitation in State-Based Conti…
arXiv cs.AI Research & Papers
Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Liv…
arXiv cs.AI Research & Papers
Epistemic Skills: Reasoning about Knowledge and Oblivion
arXiv cs.AI Research & Papers
Automated Random Embedding for Practical Bayesian Optimization with Unknown Effective Dim…
arXiv cs.AI Research & Papers
Leveraging Foundation Models for Causal Generative Modeling