CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning

2 code implementations • 22 Nov 2023 • Yilun Liu, Shimin Tao, Xiaofeng Zhao, Ming Zhu, Wenbing Ma, Junhao Zhu, Chang Su, Yutai Hou, Miao Zhang, Min Zhang, Hongxia Ma, Li Zhang, Hao Yang, Yanfei Jiang

Instruction tuning is crucial for enabling Language Learning Models (LLMs) in responding to human instructions.

Instruction Following

Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies

1 code implementation • 15 Aug 2023 • Yilun Liu, Shimin Tao, Weibin Meng, Jingyu Wang, Wenbing Ma, Yanqing Zhao, Yuhang Chen, Hao Yang, Yanfei Jiang, Xun Chen

LogPrompt employs large language models (LLMs) to perform online log analysis tasks via a suite of advanced prompt strategies tailored for log tasks, which enhances LLMs' performance by up to 380. 7% compared with simple prompts.

Anomaly Detection Log Parsing +1

Knowledge-Prompted Estimator: A Novel Approach to Explainable Machine Translation Assessment

no code implementations • 13 Jun 2023 • Hao Yang, Min Zhang, Shimin Tao, Minghan Wang, Daimeng Wei, Yanfei Jiang

Cross-lingual Machine Translation (MT) quality estimation plays a crucial role in evaluating translation performance.

Machine Translation Sentence +1

Evaluating GPT's Programming Capability through CodeWars' Katas

no code implementations • 31 May 2023 • Zizhuo Zhang, Lian Wen, Shaoyang Zhang, David Chen, Yanfei Jiang

In the burgeoning field of artificial intelligence (AI), understanding the capabilities and limitations of programming-oriented models is crucial.