most citedLearning to Generate Unit Test via Adversarial Reinforcement Learning

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cs.AI2025

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback

Yongjin Yang, Sinjae Kang, Juyong Lee +3

Training large language model (LLM) agents to acquire necessary skills and perform diverse tasks within an environment is gaining interest as a means to enable open-endedness. Howe…

cs.AI2025

Efficient LLM Collaboration via Planning

Byeongchan Lee, Jonghoon Lee, Dongyoung Kim +4

Recently, large language models (LLMs) have demonstrated strong performance, ranging from simple to complex tasks. However, while large models achieve remarkable results across div…