Chain-of-thought
Summarize and classify related papers about CoT.
Original work on CoT:
- First release time: 28 Jan 2022
- Title: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- Conference: NeurIPS 2022
Content
- Related Surveys
- COT Enhancement
- Two main types of CoTs
- Why CoT works? - Analysis of CoT
- CoT Evaluation
- Other types of CoTs
Related Surveys
| First release time |
Title |
Conference |
| 27 Sep 2023 |
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future |
arXiv |
| 15 Feb 2023 |
Augmented Language Models: a Survey |
arXiv |
| 4 Jan 2023 |
Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes |
arXiv |
| 20 Dec 2022 |
Towards Reasoning in Large Language Models: A Survey |
ACL 23 Findings |
| 19 Dec 2022 |
Reasoning with Language Model Prompting: A Survey |
ACL 2023 |
COT Enhancement
| First release time |
Title |
What Changes? |
| 21 Mar 2022 |
Self-Consistency Improves Chain of Thought Reasoning in Language Models |
naive greedy decoding => self-consistency |
Two main types of CoTs
Zero-shot:
| First release time |
Title |
Conference |
| 6 May 2023 |
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models |
ACL 23 |
| 3 Nov 2022 |
Large Language Models Are Human-Level Prompt Engineers |
ICLR 23 |
| 24 May 2022 |
Large Language Models are Zero-Shot Reasoners |
NeurIPS2022 |
Few-shot: five sub-groups
- Related to code generation
- Auto CoT
- Iterative prompt CoT
- Involve question decomposition
- Mix
Related to code generation
| First release time |
Title |
Conference |
| 22 Nov 2022 |
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks |
arXiv |
| 18 Nov 2022 |
PAL: Program-aided Language Models |
ICML 2023 |
| 13 Oct 2022 |
Language models of code are few-shot commonsense learners |
EMNLP 2022 |
Involve question decomposition
| First release time |
Title |
Conference |
| 8 Dec 2022 |
Successive Prompting for Decomposing Complex Questions |
EMNLP 2022 |
| 7 Oct 2022 |
Measuring and Narrowing the Compositionality Gap in Language Models |
EMNLP 2023 (Findings) |
| 5 Oct 2022 |
Decomposed Prompting: A Modular Approach for Solving Complex Tasks |
ICLR 2023 |
| 21 May 2022 |
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models |
ICLR 2023 |
| 19 May 2022 |
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning |
ICLR 2023 |
| 15 May 2022 |
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models |
Findings of NAACL 2022 |
Auto CoT
| First release time |
Title |
Conference |
| 24 Feb 2023 |
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data |
arXiv |
| 7 Oct 2022 |
Automatic Chain of Thought Prompting in Large Language Models |
ICLR 23 |
Why CoT works? - Analysis of CoT
| First release time |
Title |
Conference |
| 20 Dec 2022 |
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters |
ACL 2023 |
| 25 Nov 2022 |
Complementary Explanations for Effective In-Context Learning |
ACL 2023 (Findings) |
| 3 Oct 2022 |
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought |
ICLR 2023 |
| 16 Sep 2022 |
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango |
Google Research |
CoT Evaluation
Other types of CoTs
| First release time |
Name |
Title |
Conference |
| 28 May 2023 |
Tab-CoT |
Tab-CoT: Zero-shot Tabular Chain of Thought |
ACL 23 Findings |
| 17 May 2023 |
Tree of Thoughts |
Tree of Thoughts: Deliberate Problem Solving with Large Language Models |
arXiv |
| 9 May 2023 |
Memory of Thoughts |
MoT: Pre-thinking and Recalling Enable ChatGPT to Self-Improve with Memory-of-Thoughts |
arXiv |
| 22 Nov 2022 |
Program of Thoughts |
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks |
arXiv |