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Large Language Models Can Self-Improve

Large Language Models Can Self-Improve

20 October 2022
Jiaxin Huang
S. Gu
Le Hou
Yuexin Wu
Xuezhi Wang
Hongkun Yu
Jiawei Han
    ReLM
    AI4MH
    LRM
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Papers citing "Large Language Models Can Self-Improve"

50 / 410 papers shown
Title
Leveraging Large Language Models in Conversational Recommender Systems
Leveraging Large Language Models in Conversational Recommender Systems
Luke Friedman
Sameer Ahuja
David Allen
Zhenning Tan
Hakim Sidahmed
...
Ajay Patel
Harsh Lara
Brian Chu
Zexiang Chen
Manoj Kumar Tiwari
32
102
0
13 May 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
Wei-Lin Chen
An-Zi Yen
Cheng-Kuang Wu
Hen-Hsen Huang
Hsin-Hsi Chen
ReLM
LRM
24
10
0
12 May 2023
Large Language Models Need Holistically Thought in Medical
  Conversational QA
Large Language Models Need Holistically Thought in Medical Conversational QA
Yixuan Weng
Bin Li
Fei Xia
Minjun Zhu
Bing Sun
Shizhu He
Kang Liu
Jun Zhao
LM&MA
AI4MH
LRM
DiffM
ELM
22
5
0
09 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Xiaonan Li
Xipeng Qiu
ReLM
KELM
LRM
AI4MH
26
32
0
09 May 2023
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Mixed Large
  Language Model Signals for Science Question Answering
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Mixed Large Language Model Signals for Science Question Answering
Lei Wang
Yilang Hu
Jiabang He
Xingdong Xu
Ning Liu
Hui-juan Liu
Hengtao Shen
LRM
MLLM
23
41
0
05 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
220
499
0
03 May 2023
Making the Most of What You Have: Adapting Pre-trained Visual Language
  Models in the Low-data Regime
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime
Chuhan Zhang
Antoine Miech
Jiajun Shen
Jean-Baptiste Alayrac
Pauline Luc
VLM
VPVLM
39
2
0
03 May 2023
Self-Evaluation Guided Beam Search for Reasoning
Self-Evaluation Guided Beam Search for Reasoning
Yuxi Xie
Kenji Kawaguchi
Yiran Zhao
Xu Zhao
MingSung Kan
Junxian He
Qizhe Xie
LRM
166
129
0
01 May 2023
ICE-Score: Instructing Large Language Models to Evaluate Code
ICE-Score: Instructing Large Language Models to Evaluate Code
Terry Yue Zhuo
ELM
ALM
41
38
0
27 Apr 2023
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs
  Answering
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering
Xiangyang Liu
Tianqi Pang
Chenyou Fan
FedML
LRM
42
25
0
27 Apr 2023
Can GPT-4 Perform Neural Architecture Search?
Can GPT-4 Perform Neural Architecture Search?
Mingkai Zheng
Xiu Su
Shan You
Fei Wang
Chao Qian
Chang Xu
Samuel Albanie
ELM
39
59
0
21 Apr 2023
Boosted Prompt Ensembles for Large Language Models
Boosted Prompt Ensembles for Large Language Models
Silviu Pitis
Michael Ruogu Zhang
Andrew Wang
Jimmy Ba
LRM
LLMAG
19
40
0
12 Apr 2023
REFINER: Reasoning Feedback on Intermediate Representations
REFINER: Reasoning Feedback on Intermediate Representations
Debjit Paul
Mete Ismayilzada
Maxime Peyrard
Beatriz Borges
Antoine Bosselut
Robert West
Boi Faltings
ReLM
LRM
26
170
0
04 Apr 2023
Mastering Symbolic Operations: Augmenting Language Models with Compiled
  Neural Networks
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Yixuan Weng
Minjun Zhu
Fei Xia
Bin Li
Shizhu He
Kang Liu
Jun Zhao
28
5
0
04 Apr 2023
DERA: Enhancing Large Language Model Completions with Dialog-Enabled
  Resolving Agents
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
Varun Nair
Elliot Schumacher
Geoffrey Tso
Anitha Kannan
VLM
19
62
0
30 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLM
LRM
49
49
0
26 Mar 2023
How Many Demonstrations Do You Need for In-context Learning?
How Many Demonstrations Do You Need for In-context Learning?
Jiuhai Chen
Lichang Chen
Chen Zhu
Dinesh Manocha
LRM
24
39
0
14 Mar 2023
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation
  Verification
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim
Se June Joo
Yul Jang
Hyungjoo Chae
Jinyoung Yeo
LRM
14
12
0
07 Mar 2023
Interactive Text Generation
Interactive Text Generation
Felix Faltings
Michel Galley
Baolin Peng
Kianté Brantley
Weixin Cai
Yizhe Zhang
Jianfeng Gao
Bill Dolan
28
0
0
02 Mar 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility
  Across Random User Intents
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
Daniel D. Johnson
Daniel Tarlow
Christian J. Walder
21
6
0
01 Mar 2023
Can ChatGPT Assess Human Personalities? A General Evaluation Framework
Can ChatGPT Assess Human Personalities? A General Evaluation Framework
Haocong Rao
Cyril Leung
C. Miao
LLMAG
LM&MA
23
79
0
01 Mar 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from
  Labeled Data
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Kashun Shum
Shizhe Diao
Tong Zhang
ReLM
LRM
28
128
0
24 Feb 2023
Active Prompting with Chain-of-Thought for Large Language Models
Active Prompting with Chain-of-Thought for Large Language Models
Shizhe Diao
Pengcheng Wang
Yong Lin
Tong Zhang
ReLM
KELM
LLMAG
LRM
31
120
0
23 Feb 2023
Natural Language Processing in the Legal Domain
Natural Language Processing in the Legal Domain
Daniel Martin Katz
D. Hartung
Lauritz Gerlach
Abhik Jana
M. Bommarito
ELM
AILaw
22
54
0
23 Feb 2023
Complex QA and language models hybrid architectures, Survey
Complex QA and language models hybrid architectures, Survey
Xavier Daull
P. Bellot
Emmanuel Bruno
Vincent Martin
Elisabeth Murisasco
ELM
28
15
0
17 Feb 2023
The Wisdom of Hindsight Makes Language Models Better Instruction
  Followers
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Tianjun Zhang
Fangchen Liu
Justin Wong
Pieter Abbeel
Joseph E. Gonzalez
16
44
0
10 Feb 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought
  Prompting
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
Xi Ye
Greg Durrett
LRM
ReLM
32
12
0
09 Feb 2023
Chain of Hindsight Aligns Language Models with Feedback
Chain of Hindsight Aligns Language Models with Feedback
Hao Liu
Carmelo Sferrazza
Pieter Abbeel
ALM
23
115
0
06 Feb 2023
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for
  Large Language Models
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
Zhihong Shao
Yeyun Gong
Yelong Shen
Minlie Huang
Nan Duan
Weizhu Chen
ReLM
LRM
38
67
0
01 Feb 2023
Specializing Smaller Language Models towards Multi-Step Reasoning
Specializing Smaller Language Models towards Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Litu Ou
Ashish Sabharwal
Tushar Khot
ReLM
LRM
34
242
0
30 Jan 2023
ExaRanker: Explanation-Augmented Neural Ranker
ExaRanker: Explanation-Augmented Neural Ranker
Fernando Ferraretto
Thiago Laitz
R. Lotufo
Rodrigo Nogueira
ELM
LRM
28
7
0
25 Jan 2023
GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities
GPT as Knowledge Worker: A Zero-Shot Evaluation of (AI)CPA Capabilities
Jillian Bommarito
M. Bommarito
Daniel Martin Katz
Jessica Katz
ELM
22
52
0
11 Jan 2023
GPT Takes the Bar Exam
GPT Takes the Bar Exam
M. Bommarito
Daniel Martin Katz
ELM
35
152
0
29 Dec 2022
Demonstrate-Search-Predict: Composing retrieval and language models for
  knowledge-intensive NLP
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Omar Khattab
Keshav Santhanam
Xiang Lisa Li
David Leo Wright Hall
Percy Liang
Christopher Potts
Matei A. Zaharia
RALM
KELM
31
244
0
28 Dec 2022
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss
  Policy for Transfer Learning
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
Christopher T. Lengerich
Gabriel Synnaeve
Amy Zhang
Hugh Leather
Kurt Shuster
Franccois Charton
Charysse Redwood
SSL
OffRL
24
1
0
21 Dec 2022
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Yizhong Wang
Yeganeh Kordi
Swaroop Mishra
Alisa Liu
Noah A. Smith
Daniel Khashabi
Hannaneh Hajishirzi
ALM
SyDa
LRM
27
2,055
0
20 Dec 2022
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language
  Models
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models
Jingjing Xu
Qingxiu Dong
Hongyi Liu
Lei Li
ALM
LRM
25
1
0
20 Dec 2022
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A Survey
Jie Huang
Kevin Chen-Chuan Chang
LM&MA
ELM
LRM
27
582
0
20 Dec 2022
Large Language Models Are Reasoning Teachers
Large Language Models Are Reasoning Teachers
Namgyu Ho
Laura Schmid
Se-Young Yun
ReLM
ELM
LRM
31
316
0
20 Dec 2022
KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales
KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales
Aaron Chan
Zhiyuan Zeng
Wyatt Lake
Brihi Joshi
Hanjie Chen
Xiang Ren
ReLM
LRM
29
1
0
19 Dec 2022
Reasoning with Language Model Prompting: A Survey
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao
Yixin Ou
Ningyu Zhang
Xiang Chen
Yunzhi Yao
Shumin Deng
Chuanqi Tan
Fei Huang
Huajun Chen
ReLM
ELM
LRM
71
311
0
19 Dec 2022
Teaching Small Language Models to Reason
Teaching Small Language Models to Reason
Lucie Charlotte Magister
Jonathan Mallinson
Jakub Adamek
Eric Malmi
Aliaksei Severyn
LRM
AI4CE
ReLM
30
245
0
16 Dec 2022
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDa
MoMe
67
1,477
0
15 Dec 2022
Distilling Reasoning Capabilities into Smaller Language Models
Distilling Reasoning Capabilities into Smaller Language Models
Kumar Shridhar
Alessandro Stolfo
Mrinmaya Sachan
LRM
ReLM
25
154
0
01 Dec 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek F. Abdelzaher
Jiawei Han
VLM
51
46
0
06 Nov 2022
Will we run out of data? Limits of LLM scaling based on human-generated
  data
Will we run out of data? Limits of LLM scaling based on human-generated data
Pablo Villalobos
A. Ho
J. Sevilla
T. Besiroglu
Lennart Heim
Marius Hobbhahn
ALM
33
109
0
26 Oct 2022
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language Models
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLM
LRM
62
2,989
0
20 Oct 2022
Honest Students from Untrusted Teachers: Learning an Interpretable
  Question-Answering Pipeline from a Pretrained Language Model
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
Jacob Eisenstein
D. Andor
Bernd Bohnet
Michael Collins
David M. Mimno
LRM
189
24
0
05 Oct 2022
Learning by Distilling Context
Learning by Distilling Context
Charles Burton Snell
Dan Klein
Ruiqi Zhong
ReLM
LRM
165
44
0
30 Sep 2022
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
54
183
0
30 Aug 2022
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