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
Towards an Understanding of Stepwise Inference in Transformers: A
  Synthetic Graph Navigation Model
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
Mikail Khona
Maya Okawa
Jan Hula
Rahul Ramesh
Kento Nishi
Robert P. Dick
Ekdeep Singh Lubana
Hidenori Tanaka
38
5
0
12 Feb 2024
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language
  Models
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
Jiacheng Ye
Shansan Gong
Liheng Chen
Lin Zheng
Jiahui Gao
...
Chuan Wu
Xin Jiang
Zhenguo Li
Wei Bi
Lingpeng Kong
DiffM
LRM
AI4CE
38
12
0
12 Feb 2024
InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
Huaiyuan Ying
Shuo Zhang
Linyang Li
Zhejian Zhou
Yunfan Shao
...
Hang Yan
Xipeng Qiu
Jiayu Wang
Kai-xiang Chen
Dahua Lin
ReLM
LRM
25
69
0
09 Feb 2024
In-Context Learning Can Re-learn Forbidden Tasks
In-Context Learning Can Re-learn Forbidden Tasks
Sophie Xhonneux
David Dobre
Jian Tang
Gauthier Gidel
Dhanya Sridhar
19
3
0
08 Feb 2024
Understanding the Effect of Noise in LLM Training Data with Algorithmic
  Chains of Thought
Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought
Alex Havrilla
Maia Iyer
19
7
0
06 Feb 2024
RevOrder: A Novel Method for Enhanced Arithmetic in Language Models
RevOrder: A Novel Method for Enhanced Arithmetic in Language Models
Si Shen
Peijun Shen
Danhao Zhu
MU
22
1
0
06 Feb 2024
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Pei Zhou
Jay Pujara
Xiang Ren
Xinyun Chen
Heng-Tze Cheng
Quoc V. Le
Ed H. Chi
Denny Zhou
Swaroop Mishra
Huaixiu Steven Zheng
LRM
ReLM
27
48
0
06 Feb 2024
LLM Multi-Agent Systems: Challenges and Open Problems
LLM Multi-Agent Systems: Challenges and Open Problems
Shanshan Han
Qifan Zhang
Yuhang Yao
Weizhao Jin
Zhaozhuo Xu
LLMAG
35
36
0
05 Feb 2024
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Pranab Sahoo
Ayush Kumar Singh
Sriparna Saha
Vinija Jain
S. Mondal
Aman Chadha
49
272
0
05 Feb 2024
Investigating Recurrent Transformers with Dynamic Halt
Investigating Recurrent Transformers with Dynamic Halt
Jishnu Ray Chowdhury
Cornelia Caragea
34
1
0
01 Feb 2024
LLMs learn governing principles of dynamical systems, revealing an
  in-context neural scaling law
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
Toni J. B. Liu
Nicolas Boullé
Raphael Sarfati
Christopher Earls
AI4TS
25
11
0
01 Feb 2024
Large Language Models for Mathematical Reasoning: Progresses and
  Challenges
Large Language Models for Mathematical Reasoning: Progresses and Challenges
Janice Ahn
Rishu Verma
Renze Lou
Di Liu
Rui Zhang
Wenpeng Yin
LRM
36
115
0
31 Jan 2024
EEG-GPT: Exploring Capabilities of Large Language Models for EEG
  Classification and Interpretation
EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation
Jonathan W. Kim
Ahmed Alaa
Danilo Bernardo
28
14
0
31 Jan 2024
Equipping Language Models with Tool Use Capability for Tabular Data
  Analysis in Finance
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance
Adrian Theuma
Ehsan Shareghi
19
4
0
27 Jan 2024
Zero-shot Sequential Neuro-symbolic Reasoning for Automatically
  Generating Architecture Schematic Designs
Zero-shot Sequential Neuro-symbolic Reasoning for Automatically Generating Architecture Schematic Designs
Milin Kodnongbua
Lawrence H. Curtis
Adriana Schulz
AI4CE
37
2
0
25 Jan 2024
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate
  Structural Recursion
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion
Dylan Zhang
Curt Tigges
Zory Zhang
Stella Biderman
Maxim Raginsky
Talia Ringer
24
11
0
23 Jan 2024
Closing the Gap between TD Learning and Supervised Learning -- A
  Generalisation Point of View
Closing the Gap between TD Learning and Supervised Learning -- A Generalisation Point of View
Raj Ghugare
Matthieu Geist
Glen Berseth
Benjamin Eysenbach
OffRL
25
14
0
20 Jan 2024
Code Simulation Challenges for Large Language Models
Code Simulation Challenges for Large Language Models
Emanuele La Malfa
Christoph Weinhuber
Orazio Torre
Fangru Lin
Samuele Marro
Anthony Cohn
Nigel Shadbolt
Michael Wooldridge
LLMAG
LRM
17
8
0
17 Jan 2024
ReFT: Reasoning with Reinforced Fine-Tuning
ReFT: Reasoning with Reinforced Fine-Tuning
Trung Quoc Luong
Xinbo Zhang
Zhanming Jie
Peng Sun
Xiaoran Jin
Hang Li
OffRL
LRM
ReLM
32
79
0
17 Jan 2024
Large Language Models Can Learn Temporal Reasoning
Large Language Models Can Learn Temporal Reasoning
Siheng Xiong
Ali Payani
Ramana Rao Kompella
Faramarz Fekri
LRM
27
73
0
12 Jan 2024
Adapting Large Language Models for Education: Foundational Capabilities,
  Potentials, and Challenges
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Qingyao Li
Lingyue Fu
Weiming Zhang
Xianyu Chen
Jingwei Yu
Wei Xia
Weinan Zhang
Ruiming Tang
Yong Yu
AI4Ed
ELM
27
18
0
27 Dec 2023
Supervised Knowledge Makes Large Language Models Better In-context
  Learners
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang
Shuibai Zhang
Zhuohao Yu
Guangsheng Bao
Yidong Wang
...
Ruochen Xu
Weirong Ye
Xing Xie
Weizhu Chen
Yue Zhang
16
14
0
26 Dec 2023
Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in
  Large Language Models
Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models
Nishant Vishwamitra
Keyan Guo
Farhan Tajwar Romit
Isabelle Ondracek
Long Cheng
Ziming Zhao
Hongxin Hu
16
11
0
22 Dec 2023
SimLM: Can Language Models Infer Parameters of Physical Systems?
SimLM: Can Language Models Infer Parameters of Physical Systems?
Sean Memery
Mirella Lapata
Kartic Subr
LRM
AI4CE
16
2
0
21 Dec 2023
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities
  (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Saad Ullah
Mingji Han
Saurabh Pujar
Hammond Pearce
Ayse K. Coskun
Gianluca Stringhini
ELM
LRM
19
58
0
19 Dec 2023
GeomVerse: A Systematic Evaluation of Large Models for Geometric
  Reasoning
GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning
Mehran Kazemi
Hamidreza Alvari
Ankit Anand
Jialin Wu
Xi Chen
Radu Soricut
LRM
ReLM
20
53
0
19 Dec 2023
Active Preference Inference using Language Models and Probabilistic
  Reasoning
Active Preference Inference using Language Models and Probabilistic Reasoning
Wasu Top Piriyakulkij
Volodymyr Kuleshov
Kevin Ellis
LRM
25
12
0
19 Dec 2023
diff History for Neural Language Agents
diff History for Neural Language Agents
Ulyana Piterbarg
Lerrel Pinto
Rob Fergus
22
3
0
12 Dec 2023
AI capabilities can be significantly improved without expensive
  retraining
AI capabilities can be significantly improved without expensive retraining
Tom Davidson
Jean-Stanislas Denain
Pablo Villalobos
Guillem Bas
OffRL
VLM
24
26
0
12 Dec 2023
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Yougang Lyu
Jitai Hao
Zihan Wang
Kai Zhao
Shen Gao
Pengjie Ren
Zhumin Chen
Fang Wang
Zhaochun Ren
AILaw
11
9
0
10 Dec 2023
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning
  Distilled from Large Language Models
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
Hongzhan Lin
Ziyang Luo
Jing Ma
Long Chen
27
9
0
09 Dec 2023
PathFinder: Guided Search over Multi-Step Reasoning Paths
PathFinder: Guided Search over Multi-Step Reasoning Paths
O. Yu. Golovneva
Sean O'Brien
Ramakanth Pasunuru
Tianlu Wang
Luke Zettlemoyer
Maryam Fazel-Zarandi
Asli Celikyilmaz
LRM
16
7
0
08 Dec 2023
Latent Skill Discovery for Chain-of-Thought Reasoning
Latent Skill Discovery for Chain-of-Thought Reasoning
Zifan Xu
Haozhu Wang
Dmitriy Bespalov
Peter Stone
Yanjun Qi
ReLM
LRM
51
2
0
07 Dec 2023
Using Large Language Models for Hyperparameter Optimization
Using Large Language Models for Hyperparameter Optimization
Michael Ruogu Zhang
Nishkrit Desai
Juhan Bae
Jonathan Lorraine
Jimmy Ba
34
51
0
07 Dec 2023
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Chengshu Li
Jacky Liang
Andy Zeng
Xinyun Chen
Karol Hausman
Dorsa Sadigh
Sergey Levine
Fei-Fei Li
Fei Xia
Brian Ichter
LLMAG
LRM
31
70
0
07 Dec 2023
CLadder: Assessing Causal Reasoning in Language Models
CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin
Yuen Chen
Felix Leeb
Luigi Gresele
Ojasv Kamal
...
Kevin Blin
Fernando Gonzalez Adauto
Max Kleiman-Weiner
Mrinmaya Sachan
Bernhard Schölkopf
ReLM
ELM
LRM
38
62
0
07 Dec 2023
A Study on the Calibration of In-context Learning
A Study on the Calibration of In-context Learning
Hanlin Zhang
Yi-Fan Zhang
Yaodong Yu
Dhruv Madeka
Dean Phillips Foster
Eric Xing
Hima Lakkaraju
Sham Kakade
21
7
0
07 Dec 2023
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized
  Model Responses
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses
Xiao Ma
Swaroop Mishra
Ariel Liu
S. Su
Jilin Chen
Chinmay Kulkarni
Heng-Tze Cheng
Quoc V. Le
Ed H. Chi
LM&Ro
20
36
0
01 Dec 2023
Training Chain-of-Thought via Latent-Variable Inference
Training Chain-of-Thought via Latent-Variable Inference
Du Phan
Matthew D. Hoffman
David Dohan
Sholto Douglas
Tuan Anh Le
Aaron T Parisi
Pavel Sountsov
Charles Sutton
Sharad Vikram
Rif A. Saurous
BDL
ReLM
LRM
19
22
0
28 Nov 2023
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An
  open-source dataset and dataset creation methodology using
  instruction-following models
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models
Rob Grzywinski
Joshua DÁrcy
Rob Naidoff
Ashish Shukla
Alex Browne
Ren Gibbons
Brinnae Bent
19
0
0
27 Nov 2023
Novel Preprocessing Technique for Data Embedding in Engineering Code
  Generation Using Large Language Model
Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model
Yu-Chen Lin
Akhilesh Kumar
Norman Chang
Wen-Liang Zhang
Muhammad Zakir
Rucha Apte
Haiyang He
Chao Wang
Jyh-Shing Roger Jang
22
1
0
27 Nov 2023
Conditions for Length Generalization in Learning Reasoning Skills
Conditions for Length Generalization in Learning Reasoning Skills
Changnan Xiao
Bing Liu
LRM
32
7
0
22 Nov 2023
Compositional Capabilities of Autoregressive Transformers: A Study on
  Synthetic, Interpretable Tasks
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
Rahul Ramesh
Ekdeep Singh Lubana
Mikail Khona
Robert P. Dick
Hidenori Tanaka
CoGe
27
6
0
21 Nov 2023
Advancing Transformer Architecture in Long-Context Large Language
  Models: A Comprehensive Survey
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
Yunpeng Huang
Jingwei Xu
Junyu Lai
Zixu Jiang
Taolue Chen
...
Xiaoxing Ma
Lijuan Yang
Zhou Xin
Shupeng Li
Penghao Zhao
LLMAG
KELM
28
54
0
21 Nov 2023
Igniting Language Intelligence: The Hitchhiker's Guide From
  Chain-of-Thought Reasoning to Language Agents
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents
Zhuosheng Zhang
Yao Yao
Aston Zhang
Xiangru Tang
Xinbei Ma
...
Yiming Wang
Mark B. Gerstein
Rui Wang
Gongshen Liu
Hai Zhao
LLMAG
LM&Ro
LRM
31
52
0
20 Nov 2023
Towards Evaluating AI Systems for Moral Status Using Self-Reports
Towards Evaluating AI Systems for Moral Status Using Self-Reports
Ethan Perez
Robert Long
ELM
31
8
0
14 Nov 2023
Just Ask One More Time! Self-Agreement Improves Reasoning of Language
  Models in (Almost) All Scenarios
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
Lei Lin
Jiayi Fu
Pengli Liu
Qingyang Li
Yan Gong
Junchen Wan
Fuzheng Zhang
Zhongyuan Wang
Di Zhang
Kun Gai
LRM
27
7
0
14 Nov 2023
It's Not Easy Being Wrong: Large Language Models Struggle with Process
  of Elimination Reasoning
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
Nishant Balepur
Shramay Palta
Rachel Rudinger
LRM
10
7
0
13 Nov 2023
Explanation-aware Soft Ensemble Empowers Large Language Model In-context
  Learning
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
Yue Yu
Jiaming Shen
Tianqi Liu
Zhen Qin
Jing Nathan Yan
Jialu Liu
Chao Zhang
Michael Bendersky
44
6
0
13 Nov 2023
Explain-then-Translate: An Analysis on Improving Program Translation
  with Self-generated Explanations
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations
Zilu Tang
Mayank Agarwal
Alex Shypula
Bailin Wang
Derry Wijaya
Jie Chen
Yoon Kim
LRM
28
15
0
13 Nov 2023
Previous
123456...101112
Next