12 citations · 15 across the 7 of their papers we have counts for
Showing 2023Show all
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cs.LG2023★ 2 cited
Prompt Optimization via Adversarial In-Context Learning
Xuan Long Do, Yiran Zhao, Hannah Brown +6
We propose a new method, Adversarial In-Context Learning (adv-ICL), to optimize prompt for in-context learning (ICL) by employing one LLM as a generator, another as a discriminator…
cs.CL2023★ 12 cited
FELM: Benchmarking Factuality Evaluation of Large Language Models
Shiqi Chen, Yiran Zhao, Jinghan Zhang +4
Assessing factuality of text generated by large language models (LLMs) is an emerging yet crucial research area, aimed at alerting users to potential errors and guiding the develop…
cs.CL2023
InstructCoder: Instruction Tuning Large Language Models for Code Editing
Kaixin Li, Qisheng Hu, Xu Zhao +5
Code editing encompasses a variety of pragmatic tasks that developers deal with daily. Despite its relevance and practical usefulness, automatic code editing remains an underexplor…