Hepeng Wang — accepted AI-conference papers

2025

Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection

Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong +7

ACL 2025long

Large language models (LLMs) have shown great potential across various industries due to their remarkable ability to generalize through instruction tuning. However, the limited availability of domain-specific data significantly hampers their performance on specialized tasks. While existing methods p…

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2024

Self-Evolving GPT: A Lifelong Autonomous Experiential Learner

Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu +1

ACL 2024long

To improve the performance of large language models (LLMs), researchers have explored providing LLMs with textual task-solving experience via prompts. However, they rely on manual efforts to acquire and apply such experience for each task, which is not feasible for the growing demand for LLMs and th…

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