3 citations · 6 across the 3 of their papers we have counts for
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cs.CL2023★ 1 cited
CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
Yilun Liu, Shimin Tao, Xiaofeng Zhao +11
Instruction tuning is crucial for enabling Language Learning Models (LLMs) in responding to human instructions. The quality of instruction pairs used for tuning greatly affects the…
cs.CL2023★ 2 cited
Knowledge-Prompted Estimator: A Novel Approach to Explainable Machine Translation Assessment
Hao Yang, Min Zhang, Shimin Tao +3
Cross-lingual Machine Translation (MT) quality estimation plays a crucial role in evaluating translation performance. GEMBA, the first MT quality assessment metric based on Large L…