Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

19 February 2024

Papers citing "Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models"

5 / 5 papers shown

Title
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 36 4 0 17 Oct 2024
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems Kaya Stechly Matthew Marquez Subbarao Kambhampati LRM 153 84 0 19 Oct 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
Improving alignment of dialogue agents via targeted human judgements Amelia Glaese Nat McAleese Maja Trkebacz John Aslanides Vlad Firoiu ... John F. J. Mellor Demis Hassabis Koray Kavukcuoglu Lisa Anne Hendricks G. Irving ALM AAML 220 495 0 28 Sep 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 301 11,730 0 04 Mar 2022