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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
LPML: LLM-Prompting Markup Language for Mathematical Reasoning
LPML: LLM-Prompting Markup Language for Mathematical Reasoning
Ryutaro Yamauchi
Sho Sonoda
Akiyoshi Sannai
Wataru Kumagai
KELM
LRM
44
16
0
21 Sep 2023
You Only Look at Screens: Multimodal Chain-of-Action Agents
You Only Look at Screens: Multimodal Chain-of-Action Agents
ZhuoSheng Zhang
Aston Zhang
LLMAG
LM&Ro
23
104
0
20 Sep 2023
Design of Chain-of-Thought in Math Problem Solving
Design of Chain-of-Thought in Math Problem Solving
Zhanming Jie
Trung Quoc Luong
Xinbo Zhang
Xiaoran Jin
Hang Li
LRM
61
11
0
20 Sep 2023
Natural Language Embedded Programs for Hybrid Language Symbolic
  Reasoning
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
Tianhua Zhang
Jiaxin Ge
Hongyin Luo
Yung-Sung Chuang
Mingye Gao
Yuan Gong
Xixin Wu
Yoon Kim
Helen M. Meng
James R. Glass
LRM
ReLM
90
15
0
19 Sep 2023
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model
  Pre-trained from Scratch
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
Juntao Li
Zecheng Tang
Yuyang Ding
Pinzheng Wang
Pei Guo
...
Wenliang Chen
Guohong Fu
Qiaoming Zhu
Guodong Zhou
Hao Fei
45
5
0
19 Sep 2023
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language
  Models
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Zecheng Tang
Chenfei Wu
Juntao Li
Nan Duan
3DV
28
9
0
18 Sep 2023
EchoPrompt: Instructing the Model to Rephrase Queries for Improved
  In-context Learning
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
Rajasekhar Reddy Mekala
Yasaman Razeghi
Sameer Singh
LRM
36
10
0
16 Sep 2023
Chain-of-Thought Reasoning is a Policy Improvement Operator
Chain-of-Thought Reasoning is a Policy Improvement Operator
Hugh Zhang
David C. Parkes
ReLM
LM&Ro
LRM
31
12
0
15 Sep 2023
A Data Source for Reasoning Embodied Agents
A Data Source for Reasoning Embodied Agents
Jack Lanchantin
Sainbayar Sukhbaatar
Gabriel Synnaeve
Yuxuan Sun
Kavya Srinet
Arthur Szlam
LM&Ro
LRM
30
5
0
14 Sep 2023
Agents: An Open-source Framework for Autonomous Language Agents
Agents: An Open-source Framework for Autonomous Language Agents
Wangchunshu Zhou
Yuchen Eleanor Jiang
Long Li
Jialong Wu
Tiannan Wang
...
Xiangru Tang
Ningyu Zhang
Huajun Chen
Peng Cui
Mrinmaya Sachan
LLMAG
LM&Ro
AI4CE
39
90
0
14 Sep 2023
Auto-Regressive Next-Token Predictors are Universal Learners
Auto-Regressive Next-Token Predictors are Universal Learners
Eran Malach
LRM
24
36
0
13 Sep 2023
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation
  with GPT-4 in Cloud Incident Root Cause Analysis
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang
Xuchao Zhang
Chetan Bansal
P. Las-Casas
Rodrigo Fonseca
Saravan Rajmohan
40
1
0
11 Sep 2023
Hypothesis Search: Inductive Reasoning with Language Models
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang
E. Zelikman
Gabriel Poesia
Yewen Pu
Nick Haber
Noah D. Goodman
ReLM
LRM
40
97
0
11 Sep 2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction
  Tuning
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Xiang Yue
Xingwei Qu
Ge Zhang
Yao Fu
Wenhao Huang
Huan Sun
Yu-Chuan Su
Wenhu Chen
AIMat
LRM
85
369
0
11 Sep 2023
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
Xinyi Wang
John Wieting
J. Clark
CLL
ALM
29
1
0
09 Sep 2023
GPT Can Solve Mathematical Problems Without a Calculator
GPT Can Solve Mathematical Problems Without a Calculator
Zheng Yang
Ming Ding
Qingsong Lv
Zhihuan Jiang
Zehai He
Yuyi Guo
Jinfeng Bai
Jie Tang
RALM
LRM
44
53
0
06 Sep 2023
Cognitive Architectures for Language Agents
Cognitive Architectures for Language Agents
T. Sumers
Shunyu Yao
Karthik Narasimhan
Thomas Griffiths
LLMAG
LM&Ro
61
154
0
05 Sep 2023
Explainability for Large Language Models: A Survey
Explainability for Large Language Models: A Survey
Haiyan Zhao
Hanjie Chen
Fan Yang
Ninghao Liu
Huiqi Deng
Hengyi Cai
Shuaiqiang Wang
Dawei Yin
Mengnan Du
LRM
34
415
0
02 Sep 2023
Learning the greatest common divisor: explaining transformer predictions
Learning the greatest common divisor: explaining transformer predictions
Franccois Charton
28
17
0
29 Aug 2023
TaskLAMA: Probing the Complex Task Understanding of Language Models
TaskLAMA: Probing the Complex Task Understanding of Language Models
Quan Yuan
Mehran Kazemi
Xinyuan Xu
Isaac Noble
Vaiva Imbrasaite
Deepak Ramachandran
LRM
31
10
0
29 Aug 2023
A Human-on-the-Loop Optimization Autoformalism Approach for
  Sustainability
A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability
Ming Jin
Bilgehan Sel
Fnu Hardeep
W. Yin
AI4CE
36
2
0
20 Aug 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta
Nils Blach
Aleš Kubíček
Robert Gerstenberger
Michal Podstawski
...
Joanna Gajda
Tomasz Lehmann
H. Niewiadomski
Piotr Nyczyk
Torsten Hoefler
LRM
AI4CE
LM&Ro
56
606
0
18 Aug 2023
Boosting Logical Reasoning in Large Language Models through a New
  Framework: The Graph of Thought
Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought
Bin Lei
Pei-Hung Lin
C. Liao
Caiwen Ding
ReLM
ELM
LRM
AI4CE
27
39
0
16 Aug 2023
OctoPack: Instruction Tuning Code Large Language Models
OctoPack: Instruction Tuning Code Large Language Models
Niklas Muennighoff
Qian Liu
A. Zebaze
Qinkai Zheng
Binyuan Hui
Terry Yue Zhuo
Swayam Singh
Xiangru Tang
Leandro von Werra
Shayne Longpre
VLM
ALM
71
120
0
14 Aug 2023
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
Position: Key Claims in LLM Research Have a Long Tail of Footnotes
Anna Rogers
A. Luccioni
55
19
0
14 Aug 2023
Cumulative Reasoning with Large Language Models
Cumulative Reasoning with Large Language Models
Yifan Zhang
Jingqin Yang
Yang Yuan
Andrew Chi-Chih Yao
ReLM
ELM
LRM
AI4CE
42
69
0
08 Aug 2023
NEOLAF, an LLM-powered neural-symbolic cognitive architecture
NEOLAF, an LLM-powered neural-symbolic cognitive architecture
Richard Tong
Cassie Chen Cao
Timothy Xueqian Lee
Guodong Zhao
Ray Wan
...
Xiangen Hu
Robin Schmucker
Jinsheng Pan
Julian Quevedo
Yu Lu
22
1
0
08 Aug 2023
Exploiting Code Symmetries for Learning Program Semantics
Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei
Weichen Li
Qirui Jin
Shuyang Liu
Scott Geng
Lorenzo Cavallaro
Junfeng Yang
Suman Jana
43
4
0
07 Aug 2023
Scaling Relationship on Learning Mathematical Reasoning with Large
  Language Models
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
Zheng Yuan
Hongyi Yuan
Cheng Li
Guanting Dong
Keming Lu
Chuanqi Tan
Chang Zhou
Jingren Zhou
LRM
ALM
33
170
0
03 Aug 2023
InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent
InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent
Po-Lin Chen
Cheng-Shang Chang
LM&Ro
LLMAG
30
14
0
03 Aug 2023
Flows: Building Blocks of Reasoning and Collaborating AI
Flows: Building Blocks of Reasoning and Collaborating AI
Martin Josifoski
Lars Klein
Maxime Peyrard
Nicolas Mario Baldwin
Yifei Li
...
Julian Paul Schnitzler
Yuxing Yao
Jiheng Wei
Debjit Paul
Robert West
AI4CE
41
25
0
02 Aug 2023
Skills-in-Context Prompting: Unlocking Compositionality in Large
  Language Models
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
Jiaao Chen
Xiaoman Pan
Dian Yu
Kaiqiang Song
Xiaoyang Wang
Dong Yu
Jianshu Chen
ReLM
LRM
21
24
0
01 Aug 2023
When Large Language Models Meet Personalization: Perspectives of
  Challenges and Opportunities
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
Jin Chen
Zheng Liu
Xunpeng Huang
Chenwang Wu
Qi Liu
...
Yuxuan Lei
Xiaolong Chen
Xingmei Wang
Defu Lian
Enhong Chen
ALM
35
112
0
31 Jul 2023
ARB: Advanced Reasoning Benchmark for Large Language Models
ARB: Advanced Reasoning Benchmark for Large Language Models
Tomohiro Sawada
Daniel Paleka
Alexander Havrilla
Pranav Tadepalli
Paula Vidas
Alexander Kranias
John J. Nay
Kshitij Gupta
Aran Komatsuzaki
ELM
LRM
45
37
0
25 Jul 2023
"Tidy Up the Table": Grounding Common-sense Objective for Tabletop
  Object Rearrangement
"Tidy Up the Table": Grounding Common-sense Objective for Tabletop Object Rearrangement
Yiqing Xu
David Hsu
LM&Ro
LMTD
36
0
0
21 Jul 2023
Multi-Method Self-Training: Improving Code Generation With Text, And
  Vice Versa
Multi-Method Self-Training: Improving Code Generation With Text, And Vice Versa
Shriyash Upadhyay
Etan Ginsberg
SyDa
LRM
29
0
0
20 Jul 2023
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in
  Language Model Prompting
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
Rylan Schaeffer
Kateryna Pistunova
Samarth Khanna
Sarthak Consul
Oluwasanmi Koyejo
ReLM
LRM
44
10
0
20 Jul 2023
Thrust: Adaptively Propels Large Language Models with External Knowledge
Thrust: Adaptively Propels Large Language Models with External Knowledge
Xinran Zhao
Hongming Zhang
Xiaoman Pan
Wenlin Yao
Dong Yu
Jianshu Chen
KELM
62
5
0
19 Jul 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural
  Language Explanations
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Yanda Chen
Ruiqi Zhong
Narutatsu Ri
Chen Zhao
He He
Jacob Steinhardt
Zhou Yu
Kathleen McKeown
LRM
34
47
0
17 Jul 2023
Question Decomposition Improves the Faithfulness of Model-Generated
  Reasoning
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
Ansh Radhakrishnan
Karina Nguyen
Anna Chen
Carol Chen
Carson E. Denison
...
Zac Hatfield-Dodds
Jared Kaplan
J. Brauner
Sam Bowman
Ethan Perez
ReLM
LRM
HILM
40
85
0
17 Jul 2023
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View
  Fine-Tuning
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning
Zhenwen Liang
Dian Yu
Xiaoman Pan
Wenlin Yao
Qingkai Zeng
Xiangliang Zhang
Dong Yu
ALM
LRM
46
14
0
16 Jul 2023
Teaching Arithmetic to Small Transformers
Teaching Arithmetic to Small Transformers
Nayoung Lee
Kartik K. Sreenivasan
Jason D. Lee
Kangwook Lee
Dimitris Papailiopoulos
LRM
32
83
0
07 Jul 2023
Reasoning or Reciting? Exploring the Capabilities and Limitations of
  Language Models Through Counterfactual Tasks
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
Zhaofeng Wu
Linlu Qiu
Alexis Ross
Ekin Akyürek
Boyuan Chen
Bailin Wang
Najoung Kim
Jacob Andreas
Yoon Kim
LRM
ReLM
63
197
0
05 Jul 2023
Statler: State-Maintaining Language Models for Embodied Reasoning
Statler: State-Maintaining Language Models for Embodied Reasoning
Takuma Yoneda
Jiading Fang
Peng Li
Huanyu Zhang
Tianchong Jiang
Shengjie Lin
Ben Picker
David Yunis
Hongyuan Mei
Matthew R. Walter
LM&Ro
34
32
0
30 Jun 2023
Stay on topic with Classifier-Free Guidance
Stay on topic with Classifier-Free Guidance
Guillaume Sanchez
Honglu Fan
Alexander Spangher
Elad Levi
Pawan Sasanka Ammanamanchi
Stella Biderman
3DV
38
48
0
30 Jun 2023
Length Generalization in Arithmetic Transformers
Length Generalization in Arithmetic Transformers
Samy Jelassi
Stéphane dÁscoli
Carles Domingo-Enrich
Yuhuai Wu
Yuan-Fang Li
Franccois Charton
30
39
0
27 Jun 2023
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think"
  Step-by-Step
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step
Liunian Harold Li
Jack Hessel
Youngjae Yu
Xiang Ren
Kai-Wei Chang
Yejin Choi
LRM
AI4CE
ReLM
27
130
0
24 Jun 2023
On-Policy Distillation of Language Models: Learning from Self-Generated
  Mistakes
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
Rishabh Agarwal
Nino Vieillard
Yongchao Zhou
Piotr Stańczyk
Sabela Ramos
Matthieu Geist
Olivier Bachem
48
89
0
23 Jun 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni
Xingdi Yuan
Marc-Alexandre Côté
Matheus Pereira
Adam Trischler
Ziang Xiao
Arian Hosseini
Friederike Niedtner
Nicolas Le Roux
33
27
0
21 Jun 2023
Pushing the Limits of ChatGPT on NLP Tasks
Pushing the Limits of ChatGPT on NLP Tasks
Xiaofei Sun
Linfeng Dong
Xiaoya Li
Zhen Wan
Shuhe Wang
...
Jiwei Li
Fei Cheng
Lingjuan Lyu
Fei Wu
Guoyin Wang
AI4MH
LRM
44
29
0
16 Jun 2023
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