Few-Shot Self-Rationalization with Natural Language Prompts

16 November 2021

Papers citing "Few-Shot Self-Rationalization with Natural Language Prompts"

27 / 27 papers shown

Title
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 Tejas Deshpande Nidhi Kowtal Raviraj Joshi LRM 47 1 0 31 Dec 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 43 7 0 20 Dec 2023
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 Nils Feldhus Qianli Wang Tatiana Anikina Sahil Chopra Cennet Oguz Sebastian Möller 19 9 0 09 Oct 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations Jesus Solano Oana-Maria Camburu Pasquale Minervini 8 1 0 22 May 2023
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 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 Ruibo Liu Chenyan Jia Ge Zhang Ziyu Zhuang Tony X. Liu Soroush Vosoughi 72 34 0 01 Jan 2023
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 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 Ruibo Liu Jason W. Wei S. Gu Te-Yen Wu Soroush Vosoughi Claire Cui Denny Zhou Andrew M. Dai ReLM LRM 109 79 0 11 Oct 2022
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 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 Kaige Xie Sarah Wiegreffe Mark O. Riedl ReLM 8 12 0 16 Apr 2022
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 16 283 0 05 Apr 2022
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 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 8,402 0 28 Jan 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations Sarah Wiegreffe Jack Hessel Swabha Swayamdipta Mark O. Riedl Yejin Choi 16 142 0 16 Dec 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 197 104 0 15 Jul 2021
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 Tianyu Gao Adam Fisch Danqi Chen 241 1,913 0 31 Dec 2020
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 Neema Kotonya Francesca Toni 216 249 0 19 Oct 2020
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 4,424 0 23 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,584 0 21 Jan 2020
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