Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs

Language models are few-shot learners

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Finetuned language models are zero-shot learners

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Training language models to follow instructions with human feedback

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Gpt-4 technical report

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A survey on evaluation of large language models

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Do llms possess a personality? making the mbti test an amazing evaluation for large language models

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Gpt-4 doesn’t know it’s wrong: An analysis of iterative prompting for reasoning problems

Kaya Stechly, Matthew Marquez, and Subbarao Kambhampati. 2023 · 2023

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Can large language models really improve by self-critiquing their own plans?

Karthik Valmeekam, Matthew Marquez, and Subbarao Kambhampati. 2023 · 2023

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Generating sequences by learning to self-correct

Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, and Yejin Choi. 2023 · 2023

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Self-Polish: Enhance reasoning in large language models via problem refinement

Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Jia Liu, Tao Gui, Qi Zhang, and Xuanjing Huang. 2023 · 2023

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Not all demonstration examples are equally beneficial: Reweighting demonstration examples for in-context learning

Zhe Yang, Damai Dai, Peiyi Wang, and Zhifang Sui. 2023 · 2023

Cited alongside, same era.

Self-[in] correct: Llms struggle with refining self-generated responses

Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, and Daniel Khashabi. 2024 · 2024

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When can LLMs actually correct their own mistakes? a critical survey of self-correction of LLMs

Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, and Rui Zhang. 2024 · 2024

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Training language models to self-correct via reinforcement learning

Original

Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, et al. 2024 · 2024

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Confidence matters: Revisiting intrinsic self-correction capabilities of large language models

Original

Loka Li, Zhenhao Chen, Guangyi Chen, Yixuan Zhang, Yusheng Su, Eric Xing, and Kun Zhang. 2024 · 2024

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Large language models have intrinsic self-correction ability

Dancheng Liu, Amir Nassereldine, Ziming Yang, Chenhui Xu, Yuting Hu, Jiajie Li, Utkarsh Kumar, Changjae Lee, and Jinjun Xiong. 2024 · 2024