Tacit Knowledge Extraction via Logic Augmented Generation and Active Inference
arXiv:2605.07639v1 Announce Type: new Abstract: Tacit knowledge plays a central role in human expertise, yet it remains difficult to capture,…
Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
arXiv:2605.06111v1 Announce Type: cross Abstract: Reinforcement learning (RL) with verifiable rewards has proven effective at post-training LLMs for coding, yet…
Dynamic Pondering Sparsity-aware Mixture-of-Experts Transformer for Event Stream based Visual Object Tracking
arXiv:2605.06112v1 Announce Type: cross Abstract: Despite significant progress, RGB-based trackers remain vulnerable to challenging imaging conditions, such as low illumination…
Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics
arXiv:2605.05097v2 Announce Type: replace-cross Abstract: LLMs are trained once, then deployed into a world that never stops changing. External memory…
Understanding Annotator Safety Policy with Interpretability
arXiv:2605.05329v1 Announce Type: new Abstract: Safety policies define what constitutes safe and unsafe AI outputs, guiding data annotation and model…
Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
arXiv:2605.04057v2 Announce Type: replace-cross Abstract: This paper focuses on a key challenge in Neural Architecture Search (NAS): integrating established architectural…
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
arXiv:2605.03514v1 Announce Type: cross Abstract: The remarkable success of large language models (LLMs) has motivated researchers to adapt them as…
CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing
arXiv:2605.02910v2 Announce Type: new Abstract: Recent advances in large language models have led to strong performance on reasoning and environment-interaction…