Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2204.02329
Cited By
Can language models learn from explanations in context?
5 April 2022
Andrew Kyle Lampinen
Ishita Dasgupta
Stephanie C. Y. Chan
Kory Matthewson
Michael Henry Tessler
Antonia Creswell
James L. McClelland
Jane X. Wang
Felix Hill
LRM
ReLM
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Can language models learn from explanations in context?"
50 / 216 papers shown
Title
Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfaces
Hariharan Subramonyam
Roy Pea
Christopher Pondoc
Maneesh Agrawala
Colleen M. Seifert
30
46
0
25 Sep 2023
Learning by Self-Explaining
Wolfgang Stammer
Felix Friedrich
David Steinmann
Manuel Brack
Hikaru Shindo
Kristian Kersting
20
7
0
15 Sep 2023
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Dave Van Veen
Cara Van Uden
Louis Blankemeier
Jean-Benoit Delbrouck
Asad Aali
...
C. Langlotz
Jason Hom
S. Gatidis
John M. Pauly
Akshay S. Chaudhari
ELM
AI4MH
LM&MA
45
275
0
14 Sep 2023
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang
E. Zelikman
Gabriel Poesia
Yewen Pu
Nick Haber
Noah D. Goodman
ReLM
LRM
17
95
0
11 Sep 2023
Are Emergent Abilities in Large Language Models just In-Context Learning?
Sheng Lu
Irina Bigoulaeva
Rachneet Sachdeva
Harish Tayyar Madabushi
Iryna Gurevych
LRM
ELM
ReLM
49
91
0
04 Sep 2023
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
19
404
0
02 Sep 2023
GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach
Lang Cao
LRM
20
11
0
18 Aug 2023
PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification
Hongwei Yao
Jian Lou
Kui Ren
Zhan Qin
AAML
VLM
27
25
0
05 Aug 2023
Toward Zero-Shot Instruction Following
Renze Lou
Wenpeng Yin
31
1
0
04 Aug 2023
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
22
110
0
31 Jul 2023
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Skyler Wu
Eric Meng Shen
Charumathi Badrinath
Jiaqi Ma
Himabindu Lakkaraju
LRM
22
25
0
25 Jul 2023
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification
Sha Li
Ruining Zhao
Manling Li
Heng Ji
Chris Callison-Burch
Jiawei Han
39
29
0
05 Jul 2023
Differentiable Instruction Optimization for Cross-Task Generalization
Masaru Isonuma
Junichiro Mori
Ichiro Sakata
19
0
0
16 Jun 2023
Schema-learning and rebinding as mechanisms of in-context learning and emergence
Siva K. Swaminathan
Antoine Dedieu
Rajkumar Vasudeva Raju
Murray Shanahan
Miguel Lazaro-Gredilla
Dileep George
24
8
0
16 Jun 2023
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization
Swarnadeep Saha
Peter Hase
Mohit Bansal
LRM
8
10
0
15 Jun 2023
FLamE: Few-shot Learning from Natural Language Explanations
Yangqiaoyu Zhou
Yiming Zhang
Chenhao Tan
LRM
FAtt
25
9
0
13 Jun 2023
Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT and GPT-4 for Mining Insights at Scale
Jonas Oppenlaender
Joonas Hamalainen
17
6
0
08 Jun 2023
Deductive Verification of Chain-of-Thought Reasoning
Z. Ling
Yunhao Fang
Xuanlin Li
Zhiao Huang
Mingu Lee
Roland Memisevic
Hao Su
ReLM
LRM
24
123
0
06 Jun 2023
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
Yingcong Li
Kartik K. Sreenivasan
Angeliki Giannou
Dimitris Papailiopoulos
Samet Oymak
LRM
13
16
0
30 May 2023
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Ishita Dasgupta
A. Nam
Jane X. Wang
27
15
0
25 May 2023
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
Aakas Zhiyuli
YanFang Chen
Xuan Zhang
Xun Liang
ALM
LLMAG
26
32
0
25 May 2023
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Zhengwei Tao
Zhi Jin
Xiaoying Bai
Haiyan Zhao
Yanlin Feng
Jia Li
Wenpeng Hu
19
4
0
24 May 2023
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Leonard Salewski
Stephan Alaniz
Isabel Rio-Torto
Eric Schulz
Zeynep Akata
22
148
0
24 May 2023
Using Natural Language Explanations to Rescale Human Judgments
Manya Wadhwa
Jifan Chen
Junyi Jessy Li
Greg Durrett
31
8
0
24 May 2023
A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification
Norbert Tihanyi
Ridhi Jain
Yiannis Charalambous
M. Ferrag
Youcheng Sun
Lucas C. Cordeiro
16
48
0
24 May 2023
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
Philippe Laban
Wojciech Kry'sciñski
Divyansh Agarwal
Alexander R. Fabbri
Caiming Xiong
Shafiq R. Joty
Chien-Sheng Wu
ALM
HILM
27
31
0
23 May 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim
Se June Joo
Doyoung Kim
Joel Jang
Seonghyeon Ye
Jamin Shin
Minjoon Seo
ALM
RALM
LRM
16
55
0
23 May 2023
Make a Choice! Knowledge Base Question Answering with In-Context Learning
Chuanyuan Tan
Yuehe Chen
Wenbiao Shao
Wenliang Chen
29
13
0
23 May 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Chenglei Si
Dan Friedman
Nitish Joshi
Shi Feng
Danqi Chen
He He
8
42
0
22 May 2023
CCGen: Explainable Complementary Concept Generation in E-Commerce
Jie Huang
Yifan Gao
Zheng Li
Jingfeng Yang
Yangqiu Song
Chao Zhang
Zining Zhu
Haoming Jiang
Kevin Chen-Chuan Chang
Bing Yin
3DV
LRM
10
5
0
19 May 2023
Post Hoc Explanations of Language Models Can Improve Language Models
Satyapriya Krishna
Jiaqi Ma
Dylan Slack
Asma Ghandeharioun
Sameer Singh
Himabindu Lakkaraju
ReLM
LRM
16
53
0
19 May 2023
Text Classification via Large Language Models
Xiaofei Sun
Xiaoya Li
Jiwei Li
Fei Wu
Shangwei Guo
Tianwei Zhang
Guoyin Wang
RALM
LRM
32
135
0
15 May 2023
Leveraging Large Language Models in Conversational Recommender Systems
Luke Friedman
Sameer Ahuja
David Allen
Zhenning Tan
Hakim Sidahmed
...
Ajay Patel
Harsh Lara
Brian Chu
Zexiang Chen
Manoj Kumar Tiwari
25
100
0
13 May 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
Wei-Lin Chen
An-Zi Yen
Cheng-Kuang Wu
Hen-Hsen Huang
Hsin-Hsi Chen
ReLM
LRM
22
10
0
12 May 2023
Overinformative Question Answering by Humans and Machines
Polina Tsvilodub
Michael Franke
Robert D. Hawkins
Noah D. Goodman
17
2
0
11 May 2023
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales
Brihi Joshi
Ziyi Liu
Sahana Ramnath
Aaron Chan
Zhewei Tong
Shaoliang Nie
Qifan Wang
Yejin Choi
Xiang Ren
HAI
LRM
21
28
0
11 May 2023
MoT: Memory-of-Thought Enables ChatGPT to Self-Improve
Xiaonan Li
Xipeng Qiu
ReLM
KELM
LRM
AI4MH
14
32
0
09 May 2023
Explanation-based Finetuning Makes Models More Robust to Spurious Cues
Josh Magnus Ludan
Yixuan Meng
Nguyen Tai
Saurabh Shah
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
AAML
LRM
21
16
0
08 May 2023
Faithful Question Answering with Monte-Carlo Planning
Ruixin Hong
Hongming Zhang
Honghui Zhao
Dong Yu
Changshui Zhang
ReLM
LRM
52
19
0
04 May 2023
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings
Daniel Philip Rose
Vaishnavi Himakunthala
Andy Ouyang
Ryan He
Alex Mei
Yujie Lu
Michael Stephen Saxon
Chinmay Sonar
Diba Mirza
William Yang Wang
LRM
65
36
0
03 May 2023
Few-shot In-context Learning for Knowledge Base Question Answering
Tianle Li
Xueguang Ma
Alex Zhuang
Yu Gu
Yu-Chuan Su
Wenhu Chen
94
76
0
02 May 2023
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
Dave Van Veen
Cara Van Uden
Maayane Attias
Anuj Pareek
Christian Blüthgen
...
Jean-Benoit Delbrouck
Juan Manuel Zambrano Chaves
C. Langlotz
Akshay S. Chaudhari
John M. Pauly
LM&MA
53
27
0
02 May 2023
Inducing anxiety in large language models increases exploration and bias
Julian Coda-Forno
Kristin Witte
A. Jagadish
Marcel Binz
Zeynep Akata
Eric Schulz
AI4CE
15
41
0
21 Apr 2023
"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models
Michael Xieyang Liu
Advait Sarkar
Carina Negreanu
B. Zorn
Jack Williams
N. Toronto
Andrew D. Gordon
19
105
0
13 Apr 2023
Why think step by step? Reasoning emerges from the locality of experience
Ben Prystawski
Michael Y. Li
Noah D. Goodman
LRM
ReLM
19
89
0
07 Apr 2023
Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics
J. Holmes
Zheng Liu
Lian-Cheng Zhang
Yuzhen Ding
Terence T. Sio
...
Jonathan B. Ashman
Xiang Li
Tianming Liu
Jiajian Shen
W. Liu
LM&MA
AI4CE
ELM
28
120
0
01 Apr 2023
Training Language Models with Language Feedback at Scale
Jérémy Scheurer
Jon Ander Campos
Tomasz Korbak
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
29
101
0
28 Mar 2023
Improving Code Generation by Training with Natural Language Feedback
Angelica Chen
Jérémy Scheurer
Tomasz Korbak
Jon Ander Campos
Jun Shern Chan
Samuel R. Bowman
Kyunghyun Cho
Ethan Perez
SyDa
ALM
AI4CE
26
76
0
28 Mar 2023
Language Model Behavior: A Comprehensive Survey
Tyler A. Chang
Benjamin Bergen
VLM
LRM
LM&MA
27
102
0
20 Mar 2023
A Theory of Emergent In-Context Learning as Implicit Structure Induction
Michael Hahn
Navin Goyal
LRM
8
73
0
14 Mar 2023
Previous
1
2
3
4
5
Next