ExpNote: Black-box Large Language Models are Better Task Solvers with
Experience Notebook

ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook

13 November 2023

Jun Zhao

Kang Liu

Papers citing "ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook"

5 / 5 papers shown

Title
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 420 2,849 0 06 Oct 2022
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets Peilin Zhou Zeqiang Wang Dading Chong Zhijiang Guo Yining Hua Zichang Su Zhiyang Teng Jiageng Wu Jie Yang 59 22 0 28 Sep 2022
GPT Understands, Too Xiao Liu Yanan Zheng Zhengxiao Du Ming Ding Yujie Qian Zhilin Yang Jie Tang VLM 163 1,173 0 18 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 223 4,254 0 01 Jan 2021
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm Bjarke Felbo A. Mislove Anders Søgaard Iyad Rahwan Sune Lehmann 87 743 0 01 Aug 2017