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Automatically Correcting Large Language Models: Surveying the landscape
  of diverse self-correction strategies

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

6 August 2023
Liangming Pan
Michael Stephen Saxon
Wenda Xu
Deepak Nathani
Xinyi Wang
William Yang Wang
    KELM
    LRM
ArXivPDFHTML

Papers citing "Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies"

38 / 38 papers shown
Title
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Xiaobao Wu
LRM
60
0
0
05 May 2025
SQLCritic: Correcting Text-to-SQL Generation via Clause-wise Critic
SQLCritic: Correcting Text-to-SQL Generation via Clause-wise Critic
Jikai Chen
59
0
0
11 Mar 2025
On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
Naman Goel
HILM
57
0
0
28 Jan 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Erik Cambria
LM&MA
AILaw
76
148
0
28 Jan 2025
CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants
CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants
Lize Alberts
Benjamin Ellis
Andrei Lupu
Jakob Foerster
ELM
34
0
0
28 Oct 2024
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
Zonghai Yao
Aditya Parashar
Huixue Zhou
Won Seok Jang
Feiyun Ouyang
Zhichao Yang
Hong-ye Yu
ELM
37
2
0
17 Oct 2024
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
Han He
Qianchu Liu
Lei Xu
Chaitanya P. Shivade
Yi Zhang
S. Srinivasan
Katrin Kirchhoff
16
1
0
03 Oct 2024
Teaching Language Models to Self-Improve by Learning from Language
  Feedback
Teaching Language Models to Self-Improve by Learning from Language Feedback
Chi Hu
Yimin Hu
Hang Cao
Tong Xiao
Jingbo Zhu
LRM
VLM
25
4
0
11 Jun 2024
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
Zi-Yi Dou
Cheng-Fu Yang
Xueqing Wu
Kai-Wei Chang
Nanyun Peng
LRM
81
7
0
03 Jun 2024
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang
Haoyuan Peng
Shanshan Feng
Fan Li
Dongsheng Li
LRM
KELM
35
13
0
09 May 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
Yunxiang Zhang
Muhammad Khalifa
Lajanugen Logeswaran
Jaekyeom Kim
Moontae Lee
Honglak Lee
Lu Wang
LRM
KELM
ReLM
23
31
0
26 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
35
6
0
12 Apr 2024
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Boshi Wang
Hao Fang
Jason Eisner
Benjamin Van Durme
Yu-Chuan Su
CLL
24
7
0
07 Mar 2024
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Ziwei Xu
Sanjay Jain
Mohan S. Kankanhalli
HILM
LRM
60
192
0
22 Jan 2024
Self-Rewarding Language Models
Self-Rewarding Language Models
Weizhe Yuan
Richard Yuanzhe Pang
Kyunghyun Cho
Xian Li
Sainbayar Sukhbaatar
Jing Xu
Jason Weston
ReLM
SyDa
ALM
LRM
215
291
0
18 Jan 2024
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Shumin Deng
Ningyu Zhang
Nay Oo
Bryan Hooi
LRM
25
1
0
15 Nov 2023
AutoMix: Automatically Mixing Language Models
AutoMix: Automatically Mixing Language Models
Pranjal Aggarwal
Aman Madaan
Ankit Anand
Srividya Pranavi Potharaju
Swaroop Mishra
...
Karthik Kappaganthu
Yiming Yang
Shyam Upadhyay
Manaal Faruqui
Mausam
40
17
0
19 Oct 2023
Is Self-Repair a Silver Bullet for Code Generation?
Is Self-Repair a Silver Bullet for Code Generation?
Theo X. Olausson
J. Inala
Chenglong Wang
Jianfeng Gao
Armando Solar-Lezama
LRM
14
108
0
16 Jun 2023
How Language Model Hallucinations Can Snowball
How Language Model Hallucinations Can Snowball
Muru Zhang
Ofir Press
William Merrill
Alisa Liu
Noah A. Smith
HILM
LRM
78
246
0
22 May 2023
Can LMs Learn New Entities from Descriptions? Challenges in Propagating
  Injected Knowledge
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
Yasumasa Onoe
Michael J.Q. Zhang
Shankar Padmanabhan
Greg Durrett
Eunsol Choi
KELM
201
73
0
02 May 2023
A Paradigm Shift: The Future of Machine Translation Lies with Large
  Language Models
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models
Chenyang Lyu
Zefeng Du
Jitao Xu
Yitao Duan
Minghao Wu
Teresa Lynn
Alham Fikri Aji
Derek F. Wong
Siyou Liu
Longyue Wang
41
25
0
02 May 2023
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural
  Language Generation
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Patrick Fernandes
Aman Madaan
Emmy Liu
António Farinhas
Pedro Henrique Martins
...
José G. C. de Souza
Shuyan Zhou
Tongshuang Wu
Graham Neubig
André F. T. Martins
ALM
106
56
0
01 May 2023
Large Linguistic Models: Investigating LLMs' metalinguistic abilities
Large Linguistic Models: Investigating LLMs' metalinguistic abilities
G. Beguš
M. Dąbkowski
Ryan Rhodes
LRM
32
18
0
01 May 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for
  Generative Large Language Models
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul
Adian Liusie
Mark J. F. Gales
HILM
LRM
147
386
0
15 Mar 2023
Baldur: Whole-Proof Generation and Repair with Large Language Models
Baldur: Whole-Proof Generation and Repair with Large Language Models
E. First
M. Rabe
Talia Ringer
Yuriy Brun
53
90
0
08 Mar 2023
Rethinking with Retrieval: Faithful Large Language Model Inference
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He
Hongming Zhang
Dan Roth
KELM
LRM
138
151
0
31 Dec 2022
Entailer: Answering Questions with Faithful and Truthful Chains of
  Reasoning
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning
Oyvind Tafjord
Bhavana Dalvi
Peter Clark
ReLM
KELM
LRM
54
52
0
21 Oct 2022
WikiWhy: Answering and Explaining Cause-and-Effect Questions
WikiWhy: Answering and Explaining Cause-and-Effect Questions
Matthew Ho
Aditya Sharma
Justin Chang
Michael Stephen Saxon
Sharon Levy
Yujie Lu
William Yang Wang
ReLM
KELM
LRM
58
16
0
21 Oct 2022
Not All Errors are Equal: Learning Text Generation Metrics using
  Stratified Error Synthesis
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis
Wenda Xu
Yi-Lin Tuan
Yujie Lu
Michael Stephen Saxon
Lei Li
William Yang Wang
31
22
0
10 Oct 2022
Improving alignment of dialogue agents via targeted human judgements
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
225
495
0
28 Sep 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep
  Reinforcement Learning
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
Hung Le
Yue Wang
Akhilesh Deepak Gotmare
Silvio Savarese
S. Hoi
SyDa
ALM
118
232
0
05 Jul 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
163
768
0
27 May 2022
Large Language Models are Zero-Shot Reasoners
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
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
LRM
203
157
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Training language models to follow instructions with human feedback
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
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
Factual Error Correction for Abstractive Summarization Models
Factual Error Correction for Abstractive Summarization Models
Mengyao Cao
Yue Dong
Jiapeng Wu
Jackie C.K. Cheung
HILM
KELM
167
139
0
17 Oct 2020
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