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. 2112.00114
  4. Cited By
Show Your Work: Scratchpads for Intermediate Computation with Language
  Models

Show Your Work: Scratchpads for Intermediate Computation with Language Models

30 November 2021
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
David Bieber
David Dohan
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Show Your Work: Scratchpads for Intermediate Computation with Language Models"

50 / 551 papers shown
Title
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
114
79
0
18 Sep 2024
Large Language Models and the Extended Church-Turing Thesis
Large Language Models and the Extended Church-Turing Thesis
Jiří Wiedermann
Jan van Leeuwen
18
0
0
11 Sep 2024
Knowledge Navigator: LLM-guided Browsing Framework for Exploratory
  Search in Scientific Literature
Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature
Uri Katz
Mosh Levy
Yoav Goldberg
23
4
0
28 Aug 2024
Writing in the Margins: Better Inference Pattern for Long Context
  Retrieval
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
M. Russak
Umar Jamil
Christopher Bryant
Kiran Kamble
Axel Magnuson
Mateusz Russak
Waseem Alshikh
19
2
0
27 Aug 2024
Symbolic Working Memory Enhances Language Models for Complex Rule
  Application
Symbolic Working Memory Enhances Language Models for Complex Rule Application
Siyuan Wang
Zhongyu Wei
Yejin Choi
Xiang Ren
LRM
LLMAG
31
9
0
24 Aug 2024
Understanding Defects in Generated Codes by Language Models
Understanding Defects in Generated Codes by Language Models
Ali Mohammadi Esfahani
N. Kahani
S. Ajila
20
1
0
23 Aug 2024
Reasoning and Tools for Human-Level Forecasting
Reasoning and Tools for Human-Level Forecasting
Elvis Hsieh
Preston Fu
Jonathan Chen
ReLM
LLMAG
LRM
29
1
0
21 Aug 2024
Your Context Is Not an Array: Unveiling Random Access Limitations in
  Transformers
Your Context Is Not an Array: Unveiling Random Access Limitations in Transformers
MohammadReza Ebrahimi
Sunny Panchal
Roland Memisevic
25
5
0
10 Aug 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
Ori Yoran
S. Amouyal
Chaitanya Malaviya
Ben Bogin
Ofir Press
Jonathan Berant
LLMAG
35
31
0
22 Jul 2024
Steamroller Problems: An Evaluation of LLM Reasoning Capability with
  Automated Theorem Prover Strategies
Steamroller Problems: An Evaluation of LLM Reasoning Capability with Automated Theorem Prover Strategies
Lachlan McGinness
Peter Baumgartner
LRM
9
0
0
17 Jul 2024
Representing Rule-based Chatbots with Transformers
Representing Rule-based Chatbots with Transformers
Dan Friedman
Abhishek Panigrahi
Danqi Chen
59
1
0
15 Jul 2024
Lean-STaR: Learning to Interleave Thinking and Proving
Lean-STaR: Learning to Interleave Thinking and Proving
Haohan Lin
Zhiqing Sun
Yiming Yang
Sean Welleck
ReLM
LRM
65
23
0
14 Jul 2024
MAVIS: Mathematical Visual Instruction Tuning
MAVIS: Mathematical Visual Instruction Tuning
Renrui Zhang
Xinyu Wei
Dongzhi Jiang
Yichi Zhang
Ziyu Guo
...
Aojun Zhou
Bin Wei
Shanghang Zhang
Peng Gao
Hongsheng Li
MLLM
32
25
0
11 Jul 2024
Distilling System 2 into System 1
Distilling System 2 into System 1
Ping Yu
Jing Xu
Jason Weston
Ilia Kulikov
OffRL
LRM
38
56
0
08 Jul 2024
Solving for X and Beyond: Can Large Language Models Solve Complex Math
  Problems with More-Than-Two Unknowns?
Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?
Kuei-Chun Kao
Ruochen Wang
Cho-Jui Hsieh
ELM
LRM
32
3
0
06 Jul 2024
Re-Tuning: Overcoming the Compositionality Limits of Large Language
  Models with Recursive Tuning
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
Eric Pasewark
Kyle Montgomery
Kefei Duan
Dawn Song
Chenguang Wang
LRM
CLL
ReLM
22
1
0
05 Jul 2024
Universal Length Generalization with Turing Programs
Universal Length Generalization with Turing Programs
Kaiying Hou
David Brandfonbrener
Sham Kakade
Samy Jelassi
Eran Malach
42
7
0
03 Jul 2024
Symbolic Learning Enables Self-Evolving Agents
Symbolic Learning Enables Self-Evolving Agents
Wangchunshu Zhou
Yixin Ou
Shengwei Ding
Long Li
Jialong Wu
...
Shuai Wang
Xiaohua Xu
Ningyu Zhang
Huajun Chen
Yuchen Eleanor Jiang
AI4CE
LM&Ro
LLMAG
42
24
0
26 Jun 2024
Improving Arithmetic Reasoning Ability of Large Language Models through
  Relation Tuples, Verification and Dynamic Feedback
Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback
Zhongtao Miao
Kaiyan Zhao
Yoshimasa Tsuruoka
KELM
LRM
36
2
0
25 Jun 2024
Cognitive Map for Language Models: Optimal Planning via Verbally
  Representing the World Model
Cognitive Map for Language Models: Optimal Planning via Verbally Representing the World Model
Doyoung Kim
Jongwon Lee
Jinho Park
Minjoon Seo
LM&Ro
36
0
0
21 Jun 2024
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
Sachit Menon
Richard Zemel
Carl Vondrick
LRM
36
1
0
20 Jun 2024
APEER: Automatic Prompt Engineering Enhances Large Language Model
  Reranking
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
Can Jin
Hongwu Peng
Shiyu Zhao
Zhenting Wang
Wujiang Xu
Ligong Han
Jiahui Zhao
Kai Zhong
Sanguthevar Rajasekaran
Dimitris N. Metaxas
KELM
40
32
0
20 Jun 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
Franz Nowak
Anej Svete
Alexandra Butoi
Ryan Cotterell
ReLM
LRM
44
12
0
20 Jun 2024
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines
  via Combinatorial Optimization
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
Mert Esencan
Tarun Advaith Kumar
A. A. Asanjan
P. A. Lott
Masoud Mohseni
Can Unlu
Davide Venturelli
A. Ho
LRM
26
0
0
19 Jun 2024
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
Jinhyuk Lee
Anthony Chen
Zhuyun Dai
Dheeru Dua
Devendra Singh Sachan
...
Jeremy R. Cole
Sebastian Riedel
Iftekhar Naim
Ming-Wei Chang
Kelvin Guu
RALM
LRM
51
30
0
19 Jun 2024
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning
Lijie Hu
Liang Liu
Shu Yang
Xin Chen
Hongru Xiao
Mengdi Li
Pan Zhou
Muhammad Asif Ali
Di Wang
LRM
35
5
0
18 Jun 2024
A Notion of Complexity for Theory of Mind via Discrete World Models
A Notion of Complexity for Theory of Mind via Discrete World Models
X. A. Huang
Emanuele La Malfa
Samuele Marro
Andrea Asperti
Anthony Cohn
Michael Wooldridge
37
6
0
16 Jun 2024
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to
  Ensure Scale and Data Privacy Across a Myriad of Taxonomies
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies
William Watson
Nicole Cho
T. Balch
Manuela Veloso
LMTD
23
0
0
16 Jun 2024
Retrieval & Fine-Tuning for In-Context Tabular Models
Retrieval & Fine-Tuning for In-Context Tabular Models
Valentin Thomas
Junwei Ma
Rasa Hosseinzadeh
Keyvan Golestan
Guangwei Yu
M. Volkovs
Anthony L. Caterini
39
9
0
07 Jun 2024
Morescient GAI for Software Engineering
Morescient GAI for Software Engineering
Marcus Kessel
Colin Atkinson
SyDa
33
3
0
07 Jun 2024
On Limitation of Transformer for Learning HMMs
On Limitation of Transformer for Learning HMMs
Jiachen Hu
Qinghua Liu
Chi Jin
37
3
0
06 Jun 2024
Pre-trained Large Language Models Use Fourier Features to Compute
  Addition
Pre-trained Large Language Models Use Fourier Features to Compute Addition
Tianyi Zhou
Deqing Fu
Vatsal Sharan
Robin Jia
LRM
34
9
0
05 Jun 2024
Break the Chain: Large Language Models Can be Shortcut Reasoners
Break the Chain: Large Language Models Can be Shortcut Reasoners
Mengru Ding
Hanmeng Liu
Zhizhang Fu
Jian Song
Wenbo Xie
Yue Zhang
KELM
LRM
34
7
0
04 Jun 2024
Iteration Head: A Mechanistic Study of Chain-of-Thought
Iteration Head: A Mechanistic Study of Chain-of-Thought
Vivien A. Cabannes
Charles Arnal
Wassim Bouaziz
Alice Yang
Francois Charton
Julia Kempe
LRM
27
7
0
04 Jun 2024
Explicitly Encoding Structural Symmetry is Key to Length Generalization
  in Arithmetic Tasks
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks
Mahdi Sabbaghi
George Pappas
Hamed Hassani
Surbhi Goel
36
4
0
04 Jun 2024
SemCoder: Training Code Language Models with Comprehensive Semantics
SemCoder: Training Code Language Models with Comprehensive Semantics
Yangruibo Ding
Jinjun Peng
Marcus J. Min
Gail E. Kaiser
Junfeng Yang
Baishakhi Ray
OffRL
57
16
0
03 Jun 2024
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
Zi-Yi Dou
Cheng-Fu Yang
Xueqing Wu
Kai-Wei Chang
Nanyun Peng
LRM
86
7
0
03 Jun 2024
Arbitrary-Length Generalization for Addition in a Tiny Transformer
Arbitrary-Length Generalization for Addition in a Tiny Transformer
A. G. Patriota
21
0
0
31 May 2024
Why Larger Language Models Do In-context Learning Differently?
Why Larger Language Models Do In-context Learning Differently?
Zhenmei Shi
Junyi Wei
Zhuoyan Xu
Yingyu Liang
37
18
0
30 May 2024
Understanding Transformer Reasoning Capabilities via Graph Algorithms
Understanding Transformer Reasoning Capabilities via Graph Algorithms
Clayton Sanford
Bahare Fatemi
Ethan Hall
Anton Tsitsulin
Seyed Mehran Kazemi
Jonathan J. Halcrow
Bryan Perozzi
Vahab Mirrokni
27
29
0
28 May 2024
THREAD: Thinking Deeper with Recursive Spawning
THREAD: Thinking Deeper with Recursive Spawning
Philip Schroeder
Nathaniel Morgan
Hongyin Luo
James R. Glass
LRM
LLMAG
ReLM
38
1
0
27 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
61
3
0
24 May 2024
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by
  Step
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
Yuntian Deng
Yejin Choi
Stuart M. Shieber
ReLM
LRM
30
53
0
23 May 2024
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in
  LLMs
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
Bilgehan Sel
Priya Shanmugasundaram
Mohammad Kachuee
Kun Zhou
Ruoxi Jia
Ming Jin
LRM
38
2
0
21 May 2024
A Multi-Perspective Analysis of Memorization in Large Language Models
A Multi-Perspective Analysis of Memorization in Large Language Models
Bowen Chen
Namgi Han
Yusuke Miyao
38
1
0
19 May 2024
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
R. Ajwani
Shashidhar Reddy Javaji
Frank Rudzicz
Zining Zhu
AAML
32
6
0
10 May 2024
Enhancing Creativity in Large Language Models through Associative
  Thinking Strategies
Enhancing Creativity in Large Language Models through Associative Thinking Strategies
Pronita Mehrotra
Aishni Parab
Sumit Gulwani
LRM
21
6
0
09 May 2024
Interpretable Cross-Examination Technique (ICE-T): Using highly
  informative features to boost LLM performance
Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance
Goran Muric
Ben Delay
Steven Minton
24
1
0
08 May 2024
Chain of Thoughtlessness? An Analysis of CoT in Planning
Chain of Thoughtlessness? An Analysis of CoT in Planning
Kaya Stechly
Karthik Valmeekam
Subbarao Kambhampati
LRM
LM&Ro
59
37
0
08 May 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training
  Dynamics
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics
Hanlin Zhu
Baihe Huang
Shaolun Zhang
Michael I. Jordan
Jiantao Jiao
Yuandong Tian
Stuart Russell
LRM
AI4CE
47
13
0
07 May 2024
Previous
123456...101112
Next