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Zhongtao Liu

2 accepted papers

2024

LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback

NAACL 2024findings

Recent large language models (LLM) areleveraging human feedback to improve theirgeneration quality. However, human feedbackis costly to obtain, especially during inference.In this work, we propose LLMRefine, aninference time optimization method to refineLLM’s output. The core idea is to usea learned…

Cited by 21SourcePDFScholar
2024

When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

ICLR 2024poster

While large language models (LLMs) often adopt finetuning to unlock their capabilities for downstream applications, our understanding on the inductive biases (especially the scaling properties) of different finetuning methods is still limited. To fill this gap, we conduct systematic experiments stud…

Cited by 135SourcePDFScholar