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Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs
  Sampling

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

17 May 2023
Weijia Xu
Andrzej Banburski-Fahey
Nebojsa Jojic
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling"

38 / 38 papers shown
Title
Large (Vision) Language Models are Unsupervised In-Context Learners
Large (Vision) Language Models are Unsupervised In-Context Learners
Artyom Gadetsky
Andrei Atanov
Yulun Jiang
Zhitong Gao
Ghazal Hosseini Mighan
Amir Zamir
Maria Brbić
VLM
MLLM
LRM
61
0
0
03 Apr 2025
MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization
MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization
Jian Zhang
Z. Wang
Haiping Zhu
Jun Liu
Qika Lin
Erik Cambria
LLMAG
76
0
0
21 Mar 2025
Can Large Vision Language Models Read Maps Like a Human?
Can Large Vision Language Models Read Maps Like a Human?
Shuo Xing
Zezhou Sun
Shuangyu Xie
Kaiyuan Chen
Yanjia Huang
Yuping Wang
Jiachen Li
Dezhen Song
Zhengzhong Tu
53
2
0
18 Mar 2025
Autonomous Industrial Control using an Agentic Framework with Large
  Language Models
Autonomous Industrial Control using an Agentic Framework with Large Language Models
Javal Vyas
Mehmet Mercangöz
AI4CE
LLMAG
28
2
0
08 Nov 2024
Integrating Planning into Single-Turn Long-Form Text Generation
Integrating Planning into Single-Turn Long-Form Text Generation
Yi Liang
You Wu
Honglei Zhuang
Li Chen
Jiaming Shen
...
Zhen Qin
Sumit Sanghai
Xuanhui Wang
Carl Yang
Michael Bendersky
43
3
0
08 Oct 2024
fPLSA: Learning Semantic Structures in Document Collections Using
  Foundation Models
fPLSA: Learning Semantic Structures in Document Collections Using Foundation Models
Weijia Xu
Nebojsa Jojic
Nicolas Le Roux
11
0
0
07 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu
Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
21
1
0
03 Oct 2024
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline
  Reinforcement Learning
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning
Yilun Kong
Hangyu Mao
Qi Zhao
Bin Zhang
Jingqing Ruan
Li Shen
Yongzhe Chang
Xueqian Wang
Rui Zhao
Dacheng Tao
OffRL
21
1
0
20 Aug 2024
Towards a Science Exocortex
Towards a Science Exocortex
Kevin G. Yager
66
0
0
24 Jun 2024
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Anton Xue
Avishree Khare
Rajeev Alur
Surbhi Goel
Eric Wong
34
2
0
21 Jun 2024
Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
Rongwu Xu
Zehan Qi
Wei Xu
LRM
SILM
43
6
0
31 May 2024
Distilling Reasoning Ability from Large Language Models with Adaptive
  Thinking
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
Xiao Chen
Sihang Zhou
K. Liang
Xinwang Liu
ReLM
LRM
19
2
0
14 Apr 2024
Efficient Prompting Methods for Large Language Models: A Survey
Efficient Prompting Methods for Large Language Models: A Survey
Kaiyan Chang
Songcheng Xu
Chenglong Wang
Yingfeng Luo
Tong Xiao
Jingbo Zhu
LRM
22
1
0
01 Apr 2024
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large
  Language Models
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models
Wendi Cui
Jiaxin Zhang
Zhuohang Li
Hao Sun
Damien Lopez
Kamalika Das
Bradley Malin
Kumar Sricharan
6
6
0
17 Feb 2024
Can We Verify Step by Step for Incorrect Answer Detection?
Can We Verify Step by Step for Incorrect Answer Detection?
Xin Xu
Shizhe Diao
Can Yang
Yang Wang
LRM
107
13
0
16 Feb 2024
Instruction Makes a Difference
Instruction Makes a Difference
Tosin P. Adewumi
Nudrat Habib
Lama Alkhaled
Elisa Barney
VLM
MLLM
8
1
0
01 Feb 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design
  Using Large Language Model
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Xi Lin
Fu Luo
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
VLM
27
53
0
04 Jan 2024
Supervised Knowledge Makes Large Language Models Better In-context
  Learners
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang
Shuibai Zhang
Zhuohao Yu
Guangsheng Bao
Yidong Wang
...
Ruochen Xu
Weirong Ye
Xing Xie
Weizhu Chen
Yue Zhang
11
10
0
26 Dec 2023
Do Physicians Know How to Prompt? The Need for Automatic Prompt
  Optimization Help in Clinical Note Generation
Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation
Zonghai Yao
Ahmed Jaafar
Beining Wang
Zhichao Yang
Hong-ye Yu
LM&MA
19
2
0
16 Nov 2023
StrategyLLM: Large Language Models as Strategy Generators, Executors,
  Optimizers, and Evaluators for Problem Solving
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving
Chang Gao
Haiyun Jiang
Deng Cai
Shuming Shi
Wai Lam
LRM
21
2
0
15 Nov 2023
PromptAgent: Strategic Planning with Language Models Enables
  Expert-level Prompt Optimization
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang
Chenxi Li
Zhen Wang
Fan Bai
Haotian Luo
Jiayou Zhang
Nebojsa Jojic
Eric P. Xing
Zhiting Hu
15
57
0
25 Oct 2023
Failures Pave the Way: Enhancing Large Language Models through
  Tuning-free Rule Accumulation
Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation
Zeyuan Yang
Peng Li
Yang Janet Liu
LRM
17
20
0
24 Oct 2023
Amortizing intractable inference in large language models
Amortizing intractable inference in large language models
Marvin Schmitt
Moksh Jain
Daniel Habermann
Younesse Kaddar
Ullrich Kothe
Stefan T. Radev
Nikolay Malkin
AIFin
BDL
10
45
0
06 Oct 2023
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought
  Reasoning: Advances, Frontiers and Future
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
Zheng Chu
Jingchang Chen
Qianglong Chen
Weijiang Yu
Tao He
Haotian Wang
Weihua Peng
Ming-Yu Liu
Bing Qin
Ting Liu
LRM
AI4CE
8
148
0
27 Sep 2023
AutoHint: Automatic Prompt Optimization with Hint Generation
AutoHint: Automatic Prompt Optimization with Hint Generation
Hong Sun
Xue Li
Yi Xu
Youkow Homma
Qinhao Cao
Min-man Wu
Jian Jiao
Denis Xavier Charles
14
23
0
13 Jul 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni
Xingdi Yuan
Marc-Alexandre Côté
Matheus Pereira
Adam Trischler
Ziang Xiao
Arian Hosseini
Friederike Niedtner
Nicolas Le Roux
12
16
0
21 Jun 2023
Domain-specific ChatBots for Science using Embeddings
Domain-specific ChatBots for Science using Embeddings
Kevin G. Yager
12
8
0
15 Jun 2023
Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Subhabrata Mukherjee
Arindam Mitra
Ganesh Jawahar
Sahaj Agarwal
Hamid Palangi
Ahmed Hassan Awadallah
ELM
ALM
LRM
20
257
0
05 Jun 2023
GPT is becoming a Turing machine: Here are some ways to program it
GPT is becoming a Turing machine: Here are some ways to program it
A. Jojic
Zhen Wang
Nebojsa Jojic
LRM
24
17
0
25 Mar 2023
Ask Me Anything: A simple strategy for prompting language models
Ask Me Anything: A simple strategy for prompting language models
Simran Arora
A. Narayan
Mayee F. Chen
Laurel J. Orr
Neel Guha
Kush S. Bhatia
Ines Chami
Frederic Sala
Christopher Ré
ReLM
LRM
192
160
0
05 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
152
298
0
03 Oct 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
130
115
0
16 Sep 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
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
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
882
0
18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
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