Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data

AAAI 2024 Instruction-following is particularly crucial for large language models (LLMs) to support diverse user requests. While existing work has made progress in aligning LLMs with human preferences, evaluating their capabilities on instruction following remains a challenge due to complexity and d...

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Hauptverfasser:	Gu, Zihui, Sun, Xingwu, Lian, Fengzong, Kang, Zhanhui, Xu, Cheng-Zhong, Fan, Ju
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Human-Computer Interaction
Online-Zugang:	Volltext bestellen
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