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Preprint Aug 2026

Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents

Skill retrieval has recently emerged as a promising paradigm for identifying the desirable execution guidelines from the skill gallery, thus equipping large language model (LLM) agents with the procedural knowledge to accomplish the specified task. To this end, most existing methods customize the retrieval model or rec...

Shuo Liu, Yu-Tong Yang, Haonan Xiao et al. · 0 citations
Preprint Aug 2026

Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports

This work proposes a novel difficulty-aware task formulation pipeline with a dual-track evaluation framework, facilitating comprehensive evaluation of proactive bug-fixing capability, and proposes a novel difficulty-aware task formulation pipeline with a dual-track evaluation framework.

Hao-Bin Li, Ping Deng, Weizhong Qian et al. · 0 citations
Preprint Aug 2026

RA-CAD: Learning Post-Execution Critique for State-Aware Text-to-CAD Generation

RA-CAD (ReAct Agent for CAD), a state-aware agent that interacts with the CAD environment through a Generate--Execute--Critique--Rewrite loop achieves state-of-the-art execution validity and geometric quality compared with existing methods and strong proprietary language models, demonstrating the effectiveness of the p...

Shu-Hao Yan, Changhao He, Peng Hu et al. · 0 citations

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