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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 / 559 papers shown
Title
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations
Vignesh Kothapalli
Hamed Firooz
Maziar Sanjabi
68
0
0
21 Feb 2025
A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1
A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o1
Jun Wang
LRM
KELM
78
2
0
15 Feb 2025
Typhoon T1: An Open Thai Reasoning Model
Typhoon T1: An Open Thai Reasoning Model
Pittawat Taveekitworachai
Potsawee Manakul
Kasima Tharnpipitchai
Kunat Pipatanakul
OffRL
LRM
102
0
0
13 Feb 2025
Non-literal Understanding of Number Words by Language Models
Non-literal Understanding of Number Words by Language Models
Polina Tsvilodub
Kanishk Gandhi
Haoran Zhao
Jan-Philipp Fränken
Michael Franke
Noah D. Goodman
ReLM
85
0
0
10 Feb 2025
LLMs Can Teach Themselves to Better Predict the Future
LLMs Can Teach Themselves to Better Predict the Future
Benjamin Turtel
Danny Franklin
Philipp Schoenegger
LRM
62
0
0
07 Feb 2025
SEER: Self-Explainability Enhancement of Large Language Models' Representations
SEER: Self-Explainability Enhancement of Large Language Models' Representations
Guanxu Chen
Dongrui Liu
Tao Luo
Jing Shao
LRM
MILM
69
1
0
07 Feb 2025
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers
Alireza Amiri
Xinting Huang
Mark Rofin
Michael Hahn
LRM
254
0
0
04 Feb 2025
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
Minttu Alakuijala
Ya Gao
Georgy Ananov
Samuel Kaski
Pekka Marttinen
Alexander Ilin
Harri Valpola
LLMAG
CLL
82
0
0
03 Feb 2025
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
Jasper Timm
Chetan Talele
Jacob Haimes
45
0
0
28 Jan 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Yutong Yin
Zhaoran Wang
LRM
ReLM
229
0
0
27 Jan 2025
CodeMonkeys: Scaling Test-Time Compute for Software Engineering
CodeMonkeys: Scaling Test-Time Compute for Software Engineering
Ryan Ehrlich
Bradley Brown
Jordan Juravsky
Ronald Clark
Christopher Ré
Azalia Mirhoseini
57
8
0
24 Jan 2025
Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification
Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification
Dongyu Zhang
Shengcheng Yin
Jiahao Yu
Zhiyao Wu
Zhen Li
Chengpei Xu
Xuben Wang
Feng Xia
185
0
0
05 Jan 2025
Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
Verbosity-Aware Rationale Reduction: Effective Reduction of Redundant Rationale via Principled Criteria
Joonwon Jang
Jaehee Kim
Wonbin Kweon
Hwanjo Yu
LRM
47
1
0
03 Jan 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wen Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
87
13
0
03 Jan 2025
Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search
Shuangtao Li
Shuaihao Dong
Kexin Luan
Xinhan Di
Chaofan Ding
LRM
54
2
0
02 Jan 2025
Lies, Damned Lies, and Distributional Language Statistics: Persuasion
  and Deception with Large Language Models
Lies, Damned Lies, and Distributional Language Statistics: Persuasion and Deception with Large Language Models
Cameron R. Jones
Benjamin Bergen
81
5
0
22 Dec 2024
Prompting Strategies for Enabling Large Language Models to Infer
  Causation from Correlation
Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
Eleni Sgouritsa
Virginia Aglietti
Yee Whye Teh
Arnaud Doucet
Arthur Gretton
Silvia Chiappa
ReLM
LRM
87
0
0
18 Dec 2024
CoinMath: Harnessing the Power of Coding Instruction for Math LLMs
CoinMath: Harnessing the Power of Coding Instruction for Math LLMs
Chengwei Wei
Bin Wang
Jung-jae Kim
Guimei Liu
Nancy F. Chen
LRM
87
1
0
16 Dec 2024
C3oT: Generating Shorter Chain-of-Thought without Compromising
  Effectiveness
C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness
Yu Kang
Xianghui Sun
Liangyu Chen
Wei Zou
LRM
85
25
0
16 Dec 2024
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts
William Watson
Nicole Cho
Nishan Srishankar
Zhen Zeng
Lucas Cecchi
Daniel Scott
S. Siddagangappa
Rachneet Kaur
T. Balch
Manuela Veloso
AILaw
83
0
0
15 Dec 2024
Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures
Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures
Fu-Chieh Chang
Pei-Yuan Wu
Pei-Yuan Wu
LRM
114
1
0
25 Nov 2024
Forecasting Future International Events: A Reliable Dataset for
  Text-Based Event Modeling
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
Daehoon Gwak
Junwoo Park
Minho Park
C. Park
Hyunchan Lee
E. Choi
Jaegul Choo
82
0
0
21 Nov 2024
Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis
Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis
Adithya V Ganesan
Vasudha Varadarajan
Yash Kumar Lal
Veerle C. Eijsbroek
Katarina Kjell
...
Elizabeth C. Stade
J. Eichstaedt
Ryan L. Boyd
H. Andrew Schwartz
Lucie Flek
AI4MH
77
0
0
21 Nov 2024
Foundations and Recent Trends in Multimodal Mobile Agents: A Survey
Foundations and Recent Trends in Multimodal Mobile Agents: A Survey
Biao Wu
Yanda Li
Meng Fang
Zirui Song
Zhiwei Zhang
Yunchao Wei
L. Chen
LM&Ro
LLMAG
OffRL
AI4TS
46
5
0
04 Nov 2024
Prospective Learning: Learning for a Dynamic Future
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva
Rahul Ramesh
Rubing Yang
Siyu Yu
Joshua T. Vogelstein
Pratik Chaudhari
AI4TS
91
0
0
31 Oct 2024
Leveraging LLMs for Hypothetical Deduction in Logical Inference: A
  Neuro-Symbolic Approach
Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach
Qingchuan Li
Jiatong Li
Tongxuan Liu
Yuting Zeng
Mingyue Cheng
Weizhe Huang
Qi Liu
LRM
AI4CE
57
2
0
29 Oct 2024
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on
  Tasks where Thinking Makes Humans Worse
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu
Jiayi Geng
Addison J. Wu
Ilia Sucholutsky
Tania Lombrozo
Thomas Griffiths
ReLM
LRM
60
21
0
27 Oct 2024
Delving into the Reversal Curse: How Far Can Large Language Models
  Generalize?
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
Zhengkai Lin
Z. Fu
Kai Liu
Liang Xie
Binbin Lin
Wenxiao Wang
D. Cai
Yue Wu
Jieping Ye
LRM
25
3
0
24 Oct 2024
Understanding When Tree of Thoughts Succeeds: Larger Models Excel in
  Generation, Not Discrimination
Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not Discrimination
Qiqi Chen
Xinpeng Wang
Philipp Mondorf
Michael A. Hedderich
Yun Xue
LRM
AI4CE
31
1
0
23 Oct 2024
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
Samiha Sharlin
Tyler R. Josephson
ReLM
LLMAG
LRM
50
1
0
22 Oct 2024
The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks
The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks
Daniel Ayzenshteyn
Roy Weiss
Yisroel Mirsky
AAML
36
1
0
20 Oct 2024
From Solitary Directives to Interactive Encouragement! LLM Secure Code
  Generation by Natural Language Prompting
From Solitary Directives to Interactive Encouragement! LLM Secure Code Generation by Natural Language Prompting
Shigang Liu
Bushra Sabir
Seung Ick Jang
Yuval Kansal
Yansong Gao
Kristen Moore
A. Abuadbba
Surya Nepal
35
2
0
18 Oct 2024
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning
Lang Cao
Chao Peng
Renhong Chen
Wu Ning
Yingtian Zou
Yitong Li
LRM
31
0
0
18 Oct 2024
Retrieval-Enhanced Named Entity Recognition
Retrieval-Enhanced Named Entity Recognition
Enzo Shiraishi
Raphael Y. de Camargo
Henrique L. P. Silva
Ronaldo C. Prati
RALM
34
0
0
17 Oct 2024
Open Domain Question Answering with Conflicting Contexts
Open Domain Question Answering with Conflicting Contexts
Siyi Liu
Qiang Ning
Kishaloy Halder
Wei Xiao
Zheng Qi
...
Yi Zhang
Neha Anna John
Bonan Min
Yassine Benajiba
Dan Roth
LLMAG
71
2
0
16 Oct 2024
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
Shreya Shankar
Tristan Chambers
Eugene Wu
Aditya G. Parameswaran
Eugene Wu
LLMAG
66
7
0
16 Oct 2024
On the Training Convergence of Transformers for In-Context
  Classification
On the Training Convergence of Transformers for In-Context Classification
Wei Shen
Ruida Zhou
Jing Yang
Cong Shen
33
3
0
15 Oct 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
98
20
0
15 Oct 2024
Thinking LLMs: General Instruction Following with Thought Generation
Thinking LLMs: General Instruction Following with Thought Generation
Tianhao Wu
Janice Lan
Weizhe Yuan
Jiantao Jiao
Jason Weston
Sainbayar Sukhbaatar
LRM
30
16
0
14 Oct 2024
Neural networks that overcome classic challenges through practice
Neural networks that overcome classic challenges through practice
Kazuki Irie
Brenden M. Lake
37
6
0
14 Oct 2024
OpenR: An Open Source Framework for Advanced Reasoning with Large
  Language Models
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Jun Wang
Meng Fang
Bo Liu
Muning Wen
Jiachen Zhu
...
Lei Chen
Lionel M. Ni
Linyi Yang
Ying Wen
Wenbo Zhang
LRM
32
33
0
12 Oct 2024
Visual Scratchpads: Enabling Global Reasoning in Vision
Visual Scratchpads: Enabling Global Reasoning in Vision
Aryo Lotfi
Enrico Fini
Samy Bengio
Moin Nabi
Emmanuel Abbe
LRM
42
0
0
10 Oct 2024
Executing Arithmetic: Fine-Tuning Large Language Models as Turing
  Machines
Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines
Junyu Lai
Jiahe Xu
Yao Yang
Yunpeng Huang
Chun Cao
Jingwei Xu
LRM
37
3
0
10 Oct 2024
MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks
MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks
M. Bueno
R. Lotufo
Rodrigo Nogueira
LRM
33
0
0
08 Oct 2024
Reasoning Paths Optimization: Learning to Reason and Explore From
  Diverse Paths
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
Yew Ken Chia
Guizhen Chen
Weiwen Xu
Luu Anh Tuan
Soujanya Poria
Lidong Bing
LRM
33
0
0
07 Oct 2024
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
Mehul Damani
Idan Shenfeld
Andi Peng
Andreea Bobu
Jacob Andreas
47
15
0
07 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
66
2
0
07 Oct 2024
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View
Lijie Hu
Liang Liu
Shu Yang
Xin Chen
Zhen Tan
Muhammad Asif Ali
Mengdi Li
Di Wang
LRM
46
1
0
04 Oct 2024
When a language model is optimized for reasoning, does it still show
  embers of autoregression? An analysis of OpenAI o1
When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1
R. Thomas McCoy
Shunyu Yao
Dan Friedman
Mathew D. Hardy
Thomas Griffiths
LRM
47
8
0
02 Oct 2024
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source
  Instruction Data
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Shubham Toshniwal
Wei Du
Ivan Moshkov
Branislav Kisacanin
Alexan Ayrapetyan
Igor Gitman
LRM
31
51
0
02 Oct 2024
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