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Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning
  and Coding with LLMs

Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs

19 May 2023
Pranjal Aggarwal
Aman Madaan
Yiming Yang
Mausam
    LRM
ArXivPDFHTML

Papers citing "Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs"

30 / 30 papers shown
Title
Dynamic Early Exit in Reasoning Models
Dynamic Early Exit in Reasoning Models
Chenxu Yang
Qingyi Si
Yongjie Duan
Zheliang Zhu
Chenyu Zhu
Zheng-Shen Lin
Li Cao
Weiping Wang
ReLM
LRM
30
0
0
22 Apr 2025
Efficient Reasoning Models: A Survey
Efficient Reasoning Models: A Survey
Sicheng Feng
Gongfan Fang
Xinyin Ma
Xinchao Wang
ReLM
LRM
86
0
0
15 Apr 2025
Adaptive Rectification Sampling for Test-Time Compute Scaling
Adaptive Rectification Sampling for Test-Time Compute Scaling
Zhendong Tan
Xingjun Zhang
Chaoyi Hu
Yancheng Pan
Shaoxun Wang
LRM
31
0
0
02 Apr 2025
ConSol: Sequential Probability Ratio Testing to Find Consistent LLM Reasoning Paths Efficiently
ConSol: Sequential Probability Ratio Testing to Find Consistent LLM Reasoning Paths Efficiently
Jaeyeon Lee
Guantong Qi
Matthew Neeley
Zhandong Liu
Hyun-Hwan Jeong
OffRL
LRM
49
0
0
22 Mar 2025
Speculative Decoding for Multi-Sample Inference
Yiwei Li
Jiayi Shi
Shaoxiong Feng
Peiwen Yuan
X. Wang
...
Ji Zhang
Chuyi Tan
Boyuan Pan
Yao Hu
Kan Li
LRM
38
0
0
07 Mar 2025
Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding
Y. Wang
Pei Zhang
Siyuan Huang
Baosong Yang
Z. Zhang
Fei Huang
Rui Wang
BDL
LRM
62
6
0
03 Mar 2025
Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation
Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation
Yiwei Li
Ji Zhang
Shaoxiong Feng
Peiwen Yuan
X. Wang
...
Y. Zhang
Chuyi Tan
Boyuan Pan
Yao Hu
Kan Li
HILM
42
1
0
27 Feb 2025
Improving Consistency in Large Language Models through Chain of Guidance
Improving Consistency in Large Language Models through Chain of Guidance
Harsh Raj
Vipul Gupta
Domenic Rosati
Subhabrata Majumdar
LLMAG
LRM
54
3
0
21 Feb 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
Zishun Yu
Tengyu Xu
Di Jin
Karthik Abinav Sankararaman
Yun He
...
Eryk Helenowski
Chen Zhu
Sinong Wang
Hao Ma
Han Fang
LRM
51
4
0
29 Jan 2025
Refining Answer Distributions for Improved Large Language Model Reasoning
Refining Answer Distributions for Improved Large Language Model Reasoning
Soumyasundar Pal
Didier Chetelat
Yingxue Zhang
Mark Coates
ReLM
LRM
81
0
0
17 Dec 2024
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for
  Reasoning
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning
Justin Chih-Yao Chen
Archiki Prasad
Swarnadeep Saha
Elias Stengel-Eskin
Mohit Bansal
LRM
27
9
0
18 Sep 2024
Path-Consistency: Prefix Enhancement for Efficient Inference in LLM
Path-Consistency: Prefix Enhancement for Efficient Inference in LLM
Jiace Zhu
Yingtao Shen
Jie Zhao
An Zou
LLMAG
LRM
22
4
0
25 Aug 2024
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
Xinglin Wang
Shaoxiong Feng
Yiwei Li
Peiwen Yuan
Y. Zhang
Boyuan Pan
Heda Wang
Yao Hu
Kan Li
LRM
37
16
0
24 Aug 2024
Improving Self Consistency in LLMs through Probabilistic Tokenization
Improving Self Consistency in LLMs through Probabilistic Tokenization
Ashutosh Sathe
Divyanshu Aggarwal
Sunayana Sitaram
37
4
0
04 Jul 2024
From Decoding to Meta-Generation: Inference-time Algorithms for Large
  Language Models
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Sean Welleck
Amanda Bertsch
Matthew Finlayson
Hailey Schoelkopf
Alex Xie
Graham Neubig
Ilia Kulikov
Zaid Harchaoui
33
47
0
24 Jun 2024
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
Yuxuan Yao
Han Wu
Zhijiang Guo
Biyan Zhou
Jiahui Gao
Sichun Luo
Hanxu Hou
Xiaojin Fu
Linqi Song
LLMAG
LRM
40
9
0
28 Mar 2024
Soft Self-Consistency Improves Language Model Agents
Soft Self-Consistency Improves Language Model Agents
Han Wang
Archiki Prasad
Elias Stengel-Eskin
Mohit Bansal
LLMAG
24
7
0
20 Feb 2024
A Survey of Reasoning with Foundation Models
A Survey of Reasoning with Foundation Models
Jiankai Sun
Chuanyang Zheng
E. Xie
Zhengying Liu
Ruihang Chu
...
Xipeng Qiu
Yi-Chen Guo
Hui Xiong
Qun Liu
Zhenguo Li
ReLM
LRM
AI4CE
22
75
0
17 Dec 2023
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
30
1
0
15 Nov 2023
Word Definitions from Large Language Models
Word Definitions from Large Language Models
Yunting Yin
Steven Skiena
Samuel Kim
Yunting Yin
Steven Skiena
AILaw
30
0
0
10 Nov 2023
AutoMix: Automatically Mixing Language Models
AutoMix: Automatically Mixing Language Models
Pranjal Aggarwal
Aman Madaan
Ankit Anand
Srividya Pranavi Potharaju
Swaroop Mishra
...
Karthik Kappaganthu
Yiming Yang
Shyam Upadhyay
Manaal Faruqui
Mausam
40
17
0
19 Oct 2023
Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with
  Agent Team Optimization
Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization
Zijun Liu
Yanzhe Zhang
Peng Li
Yang Janet Liu
Diyi Yang
LLMAG
21
103
0
03 Oct 2023
Adaptive-Solver Framework for Dynamic Strategy Selection in Large
  Language Model Reasoning
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
Jianpeng Zhou
Wanjun Zhong
Yanlin Wang
Jiahai Wang
LRM
18
7
0
01 Oct 2023
Semantic Consistency for Assuring Reliability of Large Language Models
Semantic Consistency for Assuring Reliability of Large Language Models
Harsh Raj
Vipul Gupta
Domenic Rosati
S. Majumdar
HILM
102
14
0
17 Aug 2023
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For
  Large Language Models
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models
Daman Arora
H. Singh
Mausam
ELM
LRM
17
49
0
24 May 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
291
4,048
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
297
3,217
0
21 Mar 2022
Measuring Coding Challenge Competence With APPS
Measuring Coding Challenge Competence With APPS
Dan Hendrycks
Steven Basart
Saurav Kadavath
Mantas Mazeika
Akul Arora
...
Collin Burns
Samir Puranik
Horace He
D. Song
Jacob Steinhardt
ELM
AIMat
ALM
194
623
0
20 May 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster
Adam Fisch
Tommi Jaakkola
Regina Barzilay
AI4TS
182
69
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
245
671
0
06 Jan 2021
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