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MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
v1v2 (latest)

MoT: Memory-of-Thought Enables ChatGPT to Self-Improve

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
9 May 2023
Xiaonan Li
Xipeng Qiu
    ReLMKELMLRMAI4MH
ArXiv (abs)PDFHTML

Papers citing "MoT: Memory-of-Thought Enables ChatGPT to Self-Improve"

20 / 20 papers shown
Title
Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems
Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems
Edoardo Allegrini
Ananth Shreekumar
Z. Berkay Celik
72
0
0
15 Oct 2025
$How^{2}$: How to learn from procedural How-to questions
How2How^{2}How2: How to learn from procedural How-to questions
Gautier Dagan
Frank Keller
A. Lascarides
LLMAG
88
0
0
13 Oct 2025
Fine-Grained Emotion Recognition via In-Context Learning
Fine-Grained Emotion Recognition via In-Context Learning
Zhaochun Ren
Zhou Yang
Chenglong Ye
Haizhou Sun
Chao Chen
Xiaofei Zhu
Xiangwen Liao
80
0
0
08 Oct 2025
The Impact of Role Design in In-Context Learning for Large Language Models
The Impact of Role Design in In-Context Learning for Large Language Models
Hamidreza Rouzegar
Masoud Makrehchi
LLMAG
111
0
1
27 Sep 2025
Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding
Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding
Chufan Gao
Jintai Chen
Jimeng Sun
LMTDReLMLRM
108
0
0
26 Aug 2025
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses
Bin Han
Robert Wolfe
A. Caspi
Bill Howe
112
1
0
07 Aug 2025
Guided Navigation in Knowledge-Dense Environments: Structured Semantic Exploration with Guidance Graphs
Guided Navigation in Knowledge-Dense Environments: Structured Semantic Exploration with Guidance Graphs
Dehao Tao
Guangjie Liu
Weizheng
Yongfeng Huang
Minghu Jiang
3DV
64
0
0
06 Aug 2025
How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation
How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation
H. Yang
Qinghua Zhao
Lei Li
LRM
101
0
0
28 Jul 2025
Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks
Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks
Sirui Chen
Shuqin Ma
Shu Yu
Hanwang Zhang
Shengjie Zhao
Chaochao Lu
546
1
0
26 May 2025
Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey
Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey
Da Zheng
Lun Du
Junwei Su
Yuchen Tian
Yuqi Zhu
Jintian Zhang
Lanning Wei
Xin Xu
Ningyu Zhang
LRM
453
5
0
06 May 2025
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions
Yiming Du
Wenyu Huang
Danna Zheng
Zhaowei Wang
Sébastien Montella
Mirella Lapata
Kam-Fai Wong
Jeff Z. Pan
KELMMU
577
16
0
01 May 2025
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity DetectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Sepideh Mamooler
Syrielle Montariol
Alexander Mathis
Antoine Bosselut
353
1
0
16 Dec 2024
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
Dawei Li
Bohan Jiang
Liangjie Huang
Alimohammad Beigi
Chengshuai Zhao
...
Canyu Chen
Tianhao Wu
Kai Shu
Lu Cheng
Huan Liu
ELMAILaw
1.0K
242
0
25 Nov 2024
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model
  on Knowledge Graphs
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge GraphsNeural Information Processing Systems (NeurIPS), 2024
L. Chen
Panrong Tong
Zhongming Jin
Ying Sun
Jieping Ye
Hui Xiong
KELMRALMLRM
224
64
0
31 Oct 2024
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large
  Language Models Iteratively without Gold Labels
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold LabelsInternational Conference on Computational Linguistics (COLING), 2024
Chaoqun Liu
Qin Chao
Wenxuan Zhang
Xiaobao Wu
Boyang Albert Li
Anh Tuan Luu
Lidong Bing
162
3
0
19 Sep 2024
Importance Weighting Can Help Large Language Models Self-Improve
Importance Weighting Can Help Large Language Models Self-ImproveAAAI Conference on Artificial Intelligence (AAAI), 2024
Chunyang Jiang
Chi-min Chan
Wei Xue
Qifeng Liu
Yike Guo
208
11
0
19 Aug 2024
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction
  Based on Large Language Model
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Xuanqing Yu
Wangtao Sun
Jingwei Li
Kang Liu
Chengbao Liu
Jie Tan
OffRLAI4TS
211
8
0
14 Aug 2024
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language
  Models
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsKnowledge Discovery and Data Mining (KDD), 2024
Wenqi Fan
Yujuan Ding
Liang-bo Ning
Shijie Wang
Hengyun Li
D. Yin
Tat-Seng Chua
Qing Li
RALM3DV
514
554
0
10 May 2024
LLM Multi-Agent Systems: Challenges and Open Problems
LLM Multi-Agent Systems: Challenges and Open Problems
Shanshan Han
Qifan Zhang
Yuhang Yao
Weizhao Jin
Zhaozhuo Xu
LLMAG
388
103
0
05 Feb 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
230
3
0
15 Nov 2023
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