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arXiv:2210. 03629v3 [cs. CL] 10 Mar 2023 tandard, CoT, Act, ReAct) on HotpotQA With PaLM-8 62B, prompting ReAct performs worst among four methods due to the difficulty to learn both reasoni g and acting from in-context examples However, when finetuned with just 3,000 examples, ReAct becomes the best method among the four, with PaLM-8B finetuned ReAct outperforming all PaLM-62B
ReAct: 在语言模型中协同推理和动作 - 知乎 发表在2023 ICLR的论文“React: Synergizing Reasoning And Acting In Language Models“，是普林斯顿大学和谷歌的工作。 摘要：虽然大型语言模型（LLM）在语言理解和交互式决策方面的任务中表现出印象深刻的表现…
ReAct论文解读 (1)—什么是ReAct？ - 技术栈 - jishuzhan. net 什么是ReAct？ 在大语言模型（LLM）领域中， ReAct 指的是一种结合了 推理（Reasoning） 和 行动（Acting） 的提示方法，全称是 "ReAct: Synergizing Reasoning and Acting in Language Models"，最早由 Google Research 在 2022 年提出。 简单理解 ReAct 提示（prompting）让语言模型不仅进行推理（思考下一步），还能 主动调用工具
Prompt工程方法: ReAct - 知乎 论文由Google研究团队首次发表于2022年10月，主要思路就是Chain-of-Thought prompting + action plan generation。 论文地址： [2210 03629] ReAct: Synergizing Reasoning and Acting in Language Models (arxiv …