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Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms
  in Large Language Models

Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models

8 February 2024
Feihu Jin
Yifan Liu
Ying Tan
    LRM
    ReLM
    LLMAG
ArXivPDFHTML

Papers citing "Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models"

13 / 13 papers shown
Title
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models
Sid Bharthulwar
John Rho
Katrina Brown
ReLM
VLM
LRM
61
0
0
30 Mar 2025
Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline
Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline
João Eduardo Batista
39
0
0
27 Mar 2025
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models
Zhifei Xie
Mingbao Lin
Ziqiang Liu
Pengcheng Wu
Shuicheng Yan
Chunyan Miao
AuLLM
OffRL
LRM
87
8
0
04 Mar 2025
Automatic Generation of Question Hints for Mathematics Problems using
  Large Language Models in Educational Technology
Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology
Junior Cedric Tonga
Benjamin Clément
Pierre-Yves Oudeyer
LRM
35
2
0
05 Nov 2024
Deep Insights into Automated Optimization with Large Language Models and
  Evolutionary Algorithms
Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
He Yu
Jiaheng Liu
46
2
0
28 Oct 2024
Instance-adaptive Zero-shot Chain-of-Thought Prompting
Instance-adaptive Zero-shot Chain-of-Thought Prompting
Xiaosong Yuan
Chen Shen
Shaotian Yan
Xiaofeng Zhang
Liang Xie
Wenxiao Wang
Renchu Guan
Ying Wang
Jieping Ye
ReLM
LRM
57
4
0
30 Sep 2024
Document-Level Event Extraction with Definition-Driven ICL
Document-Level Event Extraction with Definition-Driven ICL
Zhuoyuan Liu
Yilin Luo
83
1
0
10 Aug 2024
Large Language Models to Enhance Bayesian Optimization
Large Language Models to Enhance Bayesian Optimization
Tennison Liu
Nicolás Astorga
Nabeel Seedat
M. Schaar
66
48
0
06 Feb 2024
Evolutionary Computation in the Era of Large Language Model: Survey and
  Roadmap
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Xingyu Wu
Sheng-hao Wu
Jibin Wu
Liang Feng
Kay Chen Tan
ELM
51
59
0
18 Jan 2024
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
4,077
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
3,273
0
21 Mar 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,858
0
18 Apr 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit
  Reasoning Strategies
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Mor Geva
Daniel Khashabi
Elad Segal
Tushar Khot
Dan Roth
Jonathan Berant
RALM
259
677
0
06 Jan 2021
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