RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal
LLM Agents

RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents

6 February 2024

Tomoyuki Kagaya

Thong Jing Yuan

Yang You

Papers citing "RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents"

6 / 6 papers shown

Title
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Vishnu Sarukkai Zhiqiang Xie Kayvon Fatahalian LLMAG 35 0 0 01 May 2025
AI Awareness X. Li Haoyuan Shi Rongwu Xu Wei Xu 35 0 0 25 Apr 2025
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 187 1,100 0 06 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 276 8,441 0 04 Mar 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 278 5,177 0 28 Jan 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 258 991 0 17 Jan 2021