BriefGPT.xyz
Oct, 2022
不要照搬老师: 实体对话中的数据和模型挑战
Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue
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So Yeon Min, Hao Zhu, Ruslan Salakhutdinov, Yonatan Bisk
TL;DR
本文探讨如何训练和评估在自然语言交互中完成复杂任务的代理人,指出基于模仿学习的度量指标会误导并阻碍进展,提出应关注高级语义目标,将着眼点从低级行动度量指标推向更高层面。
Abstract
embodied dialogue instruction
following requires an agent to complete a complex sequence of tasks from a
natural language exchange
. The recent introduction of benchmarks (Padmakumar et al., 2022) raises the quest
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