On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

22 May 2024

Papers citing "On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models"

7 / 7 papers shown

Title
Iterative Deepening Sampling for Large Language Models Weizhe Chen Sven Koenig B. Dilkina LRM ReLM 86 0 0 08 Feb 2025
AI Agents That Matter Sayash Kapoor Benedikt Stroebl Zachary S. Siegel Nitya Nadgir Arvind Narayanan 33 32 0 01 Jul 2024
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks Subbarao Kambhampati Karthik Valmeekam L. Guan Mudit Verma Kaya Stechly Siddhant Bhambri Lucas Saldyt Anil Murthy LRM 78 107 0 02 Feb 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 197 2,232 0 22 Mar 2023
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 208 2,413 0 06 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022