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Explanation Regeneration via Information Bottleneck

Explanation Regeneration via Information Bottleneck

19 December 2022
Qintong Li
Zhiyong Wu
Lingpeng Kong
Wei Bi
ArXivPDFHTML

Papers citing "Explanation Regeneration via Information Bottleneck"

11 / 11 papers shown
Title
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Zhiyong Wu
Chengcheng Han
Zichen Ding
Zhenmin Weng
Zhoumianze Liu
Shunyu Yao
Tao Yu
Lingpeng Kong
LLMAG
LM&Ro
129
83
0
12 Feb 2024
How Does Information Bottleneck Help Deep Learning?
How Does Information Bottleneck Help Deep Learning?
Kenji Kawaguchi
Zhun Deng
Xu Ji
Jiaoyang Huang
48
53
0
30 May 2023
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
LRM
223
190
0
24 May 2022
Are Prompt-based Models Clueless?
Are Prompt-based Models Clueless?
Pride Kavumba
Ryo Takahashi
Yusuke Oda
VLM
139
13
0
19 May 2022
Teaching language models to support answers with verified quotes
Teaching language models to support answers with verified quotes
Jacob Menick
Maja Trebacz
Vladimir Mikulik
John Aslanides
Francis Song
...
Mia Glaese
Susannah Young
Lucy Campbell-Gillingham
G. Irving
Nat McAleese
ELM
RALM
243
259
0
21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
367
8,495
0
28 Jan 2022
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
Understanding Dataset Difficulty with V\mathcal{V}V-Usable Information
Kawin Ethayarajh
Yejin Choi
Swabha Swayamdipta
167
157
0
16 Oct 2021
Leveraging Information Bottleneck for Scientific Document Summarization
Leveraging Information Bottleneck for Scientific Document Summarization
Jiaxin Ju
Ming Liu
Huan Yee Koh
Yuan Jin
Lan Du
Shirui Pan
59
13
0
04 Oct 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop
  Reading Comprehension
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
Naoya Inoue
H. Trivedi
Steven K. Sinha
Niranjan Balasubramanian
Kentaro Inui
58
14
0
14 Sep 2021
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
218
248
0
19 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
257
620
0
04 Dec 2018
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