ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.10625
  4. Cited By
Least-to-Most Prompting Enables Complex Reasoning in Large Language
  Models

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

21 May 2022
Denny Zhou
Nathanael Scharli
Le Hou
Jason W. Wei
Nathan Scales
Xuezhi Wang
Dale Schuurmans
Claire Cui
Olivier Bousquet
Quoc Le
Ed H. Chi
    RALM
    LRM
    AI4CE
ArXivPDFHTML

Papers citing "Least-to-Most Prompting Enables Complex Reasoning in Large Language Models"

50 / 94 papers shown
Title
Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement
Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement
Kexin Zhang
Junlan Chen
Daifeng Li
Yuxuan Zhang
Yangyang Feng
Bowen Deng
Weixu Chen
LRM
52
0
0
22 May 2025
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Zhen Zhang
Xuehai He
Weixiang Yan
Ao Shen
Chenyang Zhao
Shuaiqiang Wang
Yelong Shen
Xin Eric Wang
LRM
55
0
0
21 May 2025
Text Generation Beyond Discrete Token Sampling
Text Generation Beyond Discrete Token Sampling
Yufan Zhuang
Liyuan Liu
Chandan Singh
Jingbo Shang
Jianfeng Gao
OOD
102
1
0
20 May 2025
SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning
SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning
Yige Xu
Xu Guo
Zhiwei Zeng
Chunyan Miao
BDL
LRM
87
1
0
16 May 2025
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
Xiaomin Li
Zhou Yu
Zhiwei Zhang
Xupeng Chen
Ziji Zhang
Yingying Zhuang
Narayanan Sadagopan
Anurag Beniwal
LRM
57
1
0
16 May 2025
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation
Quang P.M. Pham
Khoi T.N. Nguyen
Nhi H. Doan
Cuong Pham
Kentaro Inui
Dezhen Song
146
0
0
01 May 2025
FLIP Reasoning Challenge
FLIP Reasoning Challenge
Andreas Plesner
Turlan Kuzhagaliyev
Roger Wattenhofer
AAML
VLM
LRM
123
0
0
16 Apr 2025
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Yutong Xia
Ao Qu
Yunhan Zheng
Yihong Tang
Dingyi Zhuang
...
Cathy Wu
Roger Zimmermann
Lijun Sun
Roger Zimmermann
Jinhua Zhao
AI4CE
287
1
0
15 Apr 2025
Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution
Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution
Chenghao Li
Chaoning Zhang
Yi Lu
Jing Zhang
Qigan Sun
X. Wang
Jiwei Wei
Guoqing Wang
Yang Yang
Jikang Cheng
LRM
102
2
0
13 Apr 2025
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Zhanke Zhou
Zhaocheng Zhu
Xuan Li
Mikhail Galkin
Xiao Feng
Sanmi Koyejo
Jian Tang
Bo Han
LRM
88
1
0
28 Mar 2025
Video-R1: Reinforcing Video Reasoning in MLLMs
Video-R1: Reinforcing Video Reasoning in MLLMs
Kaituo Feng
Kaixiong Gong
Yangqiu Song
Zonghao Guo
Yibing Wang
Tianshuo Peng
Jian Wu
Xiaoying Zhang
Benyou Wang
Xiangyu Yue
AI4TS
SyDa
LRM
77
31
0
27 Mar 2025
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
Yanshu Li
87
2
0
05 Mar 2025
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
Zhenyu Pan
Haozheng Luo
Manling Li
Han Liu
LRM
80
16
0
24 Feb 2025
DISC: Dynamic Decomposition Improves LLM Inference Scaling
DISC: Dynamic Decomposition Improves LLM Inference Scaling
Jonathan Light
Wei Cheng
Wu Yue
Masafumi Oyamada
Mengdi Wang
Santiago Paternain
Haifeng Chen
ReLM
LRM
77
2
0
23 Feb 2025
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
Thanh Le-Cong
Bach Le
Toby Murray
LRM
69
1
0
22 Feb 2025
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
Reza Averly
Xia Ning
150
1
0
21 Feb 2025
CER: Confidence Enhanced Reasoning in LLMs
CER: Confidence Enhanced Reasoning in LLMs
Ali Razghandi
Seyed Mohammad Hadi Hosseini
Mahdieh Soleymani Baghshah
LRM
132
5
0
20 Feb 2025
Bag of Tricks for Inference-time Computation of LLM Reasoning
Bag of Tricks for Inference-time Computation of LLM Reasoning
Fan Liu
Wenshuo Chao
Naiqiang Tan
Hao Liu
OffRL
LRM
97
3
0
11 Feb 2025
When More is Less: Understanding Chain-of-Thought Length in LLMs
When More is Less: Understanding Chain-of-Thought Length in LLMs
Yuyang Wu
Yifei Wang
Tianqi Du
Stefanie Jegelka
Yisen Wang
Yisen Wang
LRM
85
35
0
11 Feb 2025
Policy Guided Tree Search for Enhanced LLM Reasoning
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
LRM
130
0
0
04 Feb 2025
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Yanfang Zhang
Yiliu Sun
Yibing Zhan
Dapeng Tao
Dacheng Tao
Chen Gong
LRM
AI4CE
LLMAG
116
2
0
28 Jan 2025
Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents
Beyond Numeric Awards: In-Context Dueling Bandits with LLM Agents
Fanzeng Xia
Hao Liu
Yisong Yue
Tongxin Li
102
1
0
03 Jan 2025
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
Hiroki Furuta
Yutaka Matsuo
Aleksandra Faust
Izzeddin Gur
CLL
110
14
0
03 Jan 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
345
0
0
31 Dec 2024
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
121
48
0
31 Dec 2024
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
Yeonsu Kwon
Jiho Kim
Gyubok Lee
Seongsu Bae
Daeun Kyung
Wonchul Cha
Tom Pollard
Alistair E. W. Johnson
Edward Choi
101
0
0
31 Dec 2024
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
Elita Lobo
Chirag Agarwal
Himabindu Lakkaraju
LRM
118
8
0
22 Nov 2024
Planning-Driven Programming: A Large Language Model Programming Workflow
Planning-Driven Programming: A Large Language Model Programming Workflow
Chao Lei
Yanchuan Chang
Nir Lipovetzky
Krista A. Ehinger
125
4
0
21 Nov 2024
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
Jie Liu
Pan Zhou
Yingjun Du
Ah-Hwee Tan
Cees G. M. Snoek
Jan-Jakob Sonke
E. Gavves
LLMAG
58
2
0
07 Nov 2024
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
Jiahao Yuan
Dehui Du
Hao Zhang
Zixiang Di
Usman Naseem
LRM
51
5
0
16 Oct 2024
FLARE: Faithful Logic-Aided Reasoning and Exploration
FLARE: Faithful Logic-Aided Reasoning and Exploration
Erik Arakelyan
Pasquale Minervini
Pat Verga
Patrick Lewis
Isabelle Augenstein
ReLM
LRM
102
2
0
14 Oct 2024
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning
Hyun Ryu
Gyeongman Kim
Hyemin S. Lee
Eunho Yang
LRM
73
6
0
10 Oct 2024
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
Kaiyue Wen
Huaqing Zhang
Hongzhou Lin
Jingzhao Zhang
MoE
LRM
83
4
0
07 Oct 2024
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis
Hongkang Li
Songtao Lu
Pin-Yu Chen
Xiaodong Cui
Meng Wang
LRM
39
6
0
03 Oct 2024
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
Xiangyu Peng
Congying Xia
Xinyi Yang
Caiming Xiong
Chien-Sheng Wu
Chen Xing
LRM
70
5
0
03 Oct 2024
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
Huimu Yu
Xing Wu
Weidong Yin
Debing Zhang
Songlin Hu
LRM
47
5
0
03 Oct 2024
Agent-Oriented Planning in Multi-Agent Systems
Agent-Oriented Planning in Multi-Agent Systems
Ao Li
Yuexiang Xie
Songze Li
Fugee Tsung
Bolin Ding
Yaliang Li
AIFin
291
7
0
03 Oct 2024
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
Jipeng Han
62
0
0
02 Oct 2024
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Tongxuan Liu
Wenjiang Xu
Weizhe Huang
Yuting Zeng
Jiaxing Wang
Hailong Yang
Hailong Yang
Jing Li
LRM
ReLM
64
9
0
26 Sep 2024
E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL
E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL
Hasan Alp Caferoğlu
Özgür Ulusoy
68
20
0
25 Sep 2024
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague
Fangcong Yin
Juan Diego Rodriguez
Dongwei Jiang
Manya Wadhwa
Prasann Singhal
Xinyu Zhao
Xi Ye
Kyle Mahowald
Greg Durrett
ReLM
LRM
155
101
0
18 Sep 2024
How Does Code Pretraining Affect Language Model Task Performance?
How Does Code Pretraining Affect Language Model Task Performance?
Jackson Petty
Sjoerd van Steenkiste
Tal Linzen
75
10
0
06 Sep 2024
Visual Agents as Fast and Slow Thinkers
Visual Agents as Fast and Slow Thinkers
Guangyan Sun
Mingyu Jin
Zhenting Wang
Cheng-Long Wang
Siqi Ma
Qifan Wang
Ying Nian Wu
Ying Nian Wu
Dongfang Liu
Dongfang Liu
LLMAG
LRM
92
15
0
16 Aug 2024
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
Mengkang Hu
Yixiao Wang
Can Xu
Lingfeng Sun
Chensheng Peng
T. Hannagan
Nicola Poerio
Saravan Rajmohan
LM&Ro
LLMAG
78
20
0
01 Aug 2024
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
Kangda Wei
Aayush Gautam
Ruihong Huang
83
7
0
28 Jul 2024
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs
Quang H. Nguyen
Duy C. Hoang
Juliette Decugis
Saurav Manchanda
Nitesh Chawla
Khoa D. Doan
Khoa D. Doan
142
8
0
15 Jul 2024
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
Nan Xu
Fei Wang
Sheng Zhang
Hoifung Poon
Muhao Chen
79
6
0
01 Jul 2024
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
Nikhil Abhyankar
Vivek Gupta
Dan Roth
Chandan K. Reddy
LMTD
72
3
0
29 Jun 2024
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Zijin Hong
Zheng Yuan
Qinggang Zhang
Hao Chen
Junnan Dong
Feiran Huang
Xiao Huang
103
62
0
12 Jun 2024
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Marianna Nezhurina
Lucia Cipolina-Kun
Mehdi Cherti
J. Jitsev
LLMAG
LRM
ELM
ReLM
85
30
0
04 Jun 2024
12
Next