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Metacognitive Prompting Improves Understanding in Large Language Models

Metacognitive Prompting Improves Understanding in Large Language Models

10 August 2023
Yuqing Wang
Yun Zhao
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Metacognitive Prompting Improves Understanding in Large Language Models"

19 / 19 papers shown
Title
ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
Bo Liu
Yunxiang Li
Yangqiu Song
Hanjing Wang
Linyi Yang
Mark W. Schmidt
Jun Wang
Weinan Zhang
Shuyue Hu
Ying Wen
LLMAG
KELM
LRM
AI4CE
89
6
0
12 Mar 2025
Ontology Generation using Large Language Models
Anna Sofia Lippolis
Mohammad Javad Saeedizade
Robin Keskisärkkä
Sara Zuppiroli
Miguel Ceriani
Aldo Gangemi
Eva Blomqvist
Andrea Giovanni Nuzzolese
38
2
0
07 Mar 2025
A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
Xujie Yuan
Y. Liu
Shimin Di
Shiwen Wu
Libin Zheng
Rui Meng
Lei Chen
Xiaofang Zhou
Jian Yin
36
0
0
28 Feb 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRL
ELM
149
0
0
31 Dec 2024
AI Predicts AGI: Leveraging AGI Forecasting and Peer Review to Explore LLMs' Complex Reasoning Capabilities
AI Predicts AGI: Leveraging AGI Forecasting and Peer Review to Explore LLMs' Complex Reasoning Capabilities
Fabrizio Davide
Pietro Torre
Andrea Gaggioli
Andrea Gaggioli
ELM
140
0
0
12 Dec 2024
BloomWise: Enhancing Problem-Solving capabilities of Large Language
  Models using Bloom's-Taxonomy-Inspired Prompts
BloomWise: Enhancing Problem-Solving capabilities of Large Language Models using Bloom's-Taxonomy-Inspired Prompts
Maria-Eleni Zoumpoulidi
Georgios Paraskevopoulos
Alexandros Potamianos
LRM
21
0
0
05 Oct 2024
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Matthew Renze
Erhan Guven
LRM
LLMAG
44
37
0
05 May 2024
Enhancing Reasoning Capacity of SLM using Cognitive Enhancement
Enhancing Reasoning Capacity of SLM using Cognitive Enhancement
Jonathan Pan
Swee Liang Wong
Xin Wei Chia
Yidi Yuan
LRM
37
0
0
01 Apr 2024
An Empirical Categorization of Prompting Techniques for Large Language
  Models: A Practitioner's Guide
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide
Oluwole Fagbohun
Rachel M. Harrison
Anton Dereventsov
49
6
0
18 Feb 2024
CoQuest: Exploring Research Question Co-Creation with an LLM-based Agent
CoQuest: Exploring Research Question Co-Creation with an LLM-based Agent
Yiren Liu
Si Chen
Haocong Cheng
Mengxia Yu
Xiao Ran
Andrew Mo
Yiliu Tang
Yun Huang
LLMAG
35
46
0
09 Oct 2023
An evolutionary model of personality traits related to cooperative
  behavior using a large language model
An evolutionary model of personality traits related to cooperative behavior using a large language model
Reiji Suzuki
Takaya Arita
LLMAG
13
21
0
03 Oct 2023
TRAM: Benchmarking Temporal Reasoning for Large Language Models
TRAM: Benchmarking Temporal Reasoning for Large Language Models
Yuqing Wang
Yun Zhao
LRM
41
9
0
02 Oct 2023
ReConcile: Round-Table Conference Improves Reasoning via Consensus among
  Diverse LLMs
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
Justin Chih-Yao Chen
Swarnadeep Saha
Joey Tianyi Zhou
LLMAG
LRM
40
120
0
22 Sep 2023
Let Me Teach You: Pedagogical Foundations of Feedback for Language
  Models
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Beatriz Borges
Niket Tandon
Tanja Kaser
Antoine Bosselut
22
3
0
01 Jul 2023
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
328
4,106
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
314
3,248
0
21 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
373
8,495
0
28 Jan 2022
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis
Abhik Jana
D. Hartung
M. Bommarito
Ion Androutsopoulos
Daniel Martin Katz
Nikolaos Aletras
AILaw
ELM
130
248
0
03 Oct 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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