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Few-Shot Self-Rationalization with Natural Language Prompts

Few-Shot Self-Rationalization with Natural Language Prompts

16 November 2021
Ana Marasović
Iz Beltagy
Doug Downey
Matthew E. Peters
    LRM
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Papers citing "Few-Shot Self-Rationalization with Natural Language Prompts"

28 / 28 papers shown
Title
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
Jing Yang
Max Glockner
Anderson de Rezende Rocha
Iryna Gurevych
LRM
62
1
0
07 Feb 2025
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Tejas Deshpande
Nidhi Kowtal
Raviraj Joshi
LRM
47
1
0
31 Dec 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
46
7
0
20 Dec 2023
Self-Contradictory Reasoning Evaluation and Detection
Self-Contradictory Reasoning Evaluation and Detection
Ziyi Liu
Isabelle G. Lee
Yongkang Du
Soumya Sanyal
Jieyu Zhao
LRM
30
2
0
16 Nov 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based
  Explanations
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Nils Feldhus
Qianli Wang
Tatiana Anikina
Sahil Chopra
Cennet Oguz
Sebastian Möller
26
9
0
09 Oct 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly
  Generating Predictions and Natural Language Explanations
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesus Solano
Oana-Maria Camburu
Pasquale Minervini
11
1
0
22 May 2023
REFINER: Reasoning Feedback on Intermediate Representations
REFINER: Reasoning Feedback on Intermediate Representations
Debjit Paul
Mete Ismayilzada
Maxime Peyrard
Beatriz Borges
Antoine Bosselut
Robert West
Boi Faltings
ReLM
LRM
26
168
0
04 Apr 2023
See, Think, Confirm: Interactive Prompting Between Vision and Language
  Models for Knowledge-based Visual Reasoning
See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning
Zhenfang Chen
Qinhong Zhou
Yikang Shen
Yining Hong
Hao Zhang
Chuang Gan
LRM
VLM
29
35
0
12 Jan 2023
Second Thoughts are Best: Learning to Re-Align With Human Values from
  Text Edits
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
Ruibo Liu
Chenyan Jia
Ge Zhang
Ziyu Zhuang
Tony X. Liu
Soroush Vosoughi
87
34
0
01 Jan 2023
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about
  Negation
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
Abhilasha Ravichander
Matt Gardner
Ana Marasović
25
33
0
01 Nov 2022
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Suzgun
Nathan Scales
Nathanael Scharli
Sebastian Gehrmann
Yi Tay
...
Aakanksha Chowdhery
Quoc V. Le
Ed H. Chi
Denny Zhou
Jason W. Wei
ALM
ELM
LRM
ReLM
69
988
0
17 Oct 2022
Mind's Eye: Grounded Language Model Reasoning through Simulation
Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu
Jason W. Wei
S. Gu
Te-Yen Wu
Soroush Vosoughi
Claire Cui
Denny Zhou
Andrew M. Dai
ReLM
LRM
111
79
0
11 Oct 2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot
H. Trivedi
Matthew Finlayson
Yao Fu
Kyle Richardson
Peter Clark
Ashish Sabharwal
ReLM
LRM
57
412
0
05 Oct 2022
On Advances in Text Generation from Images Beyond Captioning: A Case
  Study in Self-Rationalization
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization
Shruti Palaskar
Akshita Bhagia
Yonatan Bisk
Florian Metze
A. Black
Ana Marasović
14
4
0
24 May 2022
Calibrating Trust of Multi-Hop Question Answering Systems with
  Decompositional Probes
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
Kaige Xie
Sarah Wiegreffe
Mark O. Riedl
ReLM
10
12
0
16 Apr 2022
Can language models learn from explanations in context?
Can language models learn from explanations in context?
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
31
283
0
05 Apr 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 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
315
8,448
0
28 Jan 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
19
142
0
16 Dec 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
197
104
0
15 Jul 2021
Local Interpretations for Explainable Natural Language Processing: A
  Survey
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo
Hamish Ivison
S. Han
Josiah Poon
MILM
17
48
0
20 Mar 2021
Which Linguist Invented the Lightbulb? Presupposition Verification for
  Question-Answering
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering
Najoung Kim
Ellie Pavlick
Burcu Karagol Ayan
Deepak Ramachandran
68
43
0
02 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,916
0
31 Dec 2020
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
274
170
0
24 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
216
249
0
19 Oct 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,453
0
23 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,586
0
21 Jan 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
255
620
0
04 Dec 2018
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