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cs.CL2024
Retrieved In-Context Principles from Previous Mistakes
Hao Sun, Yong Jiang, Bo Wang +4
In-context learning (ICL) has been instrumental in adapting Large Language Models (LLMs) to downstream tasks using correct input-output examples. Recent advances have attempted to…
cs.CL2024
Boosting Disfluency Detection with Large Language Model as Disfluency Generator
Zhenrong Cheng, Jiayan Guo, Hao Sun +1
Current disfluency detection methods heavily rely on costly and scarce human-annotated data. To tackle this issue, some approaches employ heuristic or statistical features to gener…