ZARA: Improving Few-Shot Self-Rationalization for Small Language Models

12 May 2023

Papers citing "ZARA: Improving Few-Shot Self-Rationalization for Small Language Models"

46 / 46 papers shown

Title
CAVE: Controllable Authorship Verification Explanations Sahana Ramnath Kartik Pandey Elizabeth Boschee Xiang Ren 77 2 0 24 Jun 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 258 526 0 03 May 2023
Large Language Models Are Reasoning Teachers Namgyu Ho Laura Schmid Se-Young Yun ReLM ELM LRM 83 339 0 20 Dec 2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales Peifeng Wang Aaron Chan Filip Ilievski Muhao Chen Xiang Ren LRM ReLM 36 64 0 03 Nov 2022
Zero-Shot Text Classification with Self-Training Ariel Gera Alon Halfon Eyal Shnarch Yotam Perlitz L. Ein-Dor Noam Slonim VLM 49 61 0 31 Oct 2022
Large Language Models Can Self-Improve Jiaxin Huang S. Gu Le Hou Yuexin Wu Xuezhi Wang Hongkun Yu Jiawei Han ReLM AI4MH LRM 131 594 0 20 Oct 2022
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning Xi Ye Greg Durrett ReLM LRM 53 172 0 06 May 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 129 289 0 05 Apr 2022
STaR: Bootstrapping Reasoning With Reasoning E. Zelikman Yuhuai Wu Jesse Mu Noah D. Goodman ReLM LRM 83 468 0 28 Mar 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 489 3,486 0 21 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 616 9,009 0 28 Jan 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations Sarah Wiegreffe Jack Hessel Swabha Swayamdipta Mark O. Riedl Yejin Choi 48 148 0 16 Dec 2021
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization Philippe Laban Tobias Schnabel Paul N. Bennett Marti A. Hearst HILM 78 389 0 18 Nov 2021
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 55 109 0 16 Nov 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 244 105 0 15 Jul 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 61 100 0 08 May 2021
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark Nouha Dziri Hannah Rashkin Tal Linzen David Reitter ALM 225 81 0 30 Apr 2021
Can NLI Models Verify QA Systems' Predictions? Jifan Chen Eunsol Choi Greg Durrett 87 54 0 18 Apr 2021
$$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering$ $Q^{2}$ : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering Or Honovich Leshem Choshen Roee Aharoni Ella Neeman Idan Szpektor Omri Abend HILM 57 139 0 16 Apr 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 51 141 0 24 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 343 1,950 0 31 Dec 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 307 178 0 24 Oct 2020
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs Ana Marasović Chandra Bhagavatula J. S. Park Ronan Le Bras Noah A. Smith Yejin Choi ReLM LRM 53 62 0 15 Oct 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 115 2,682 0 05 Jun 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 48 106 0 01 Jun 2020
UnifiedQA: Crossing Format Boundaries With a Single QA System Daniel Khashabi Sewon Min Tushar Khot Ashish Sabharwal Oyvind Tafjord Peter Clark Hannaneh Hajishirzi 109 731 0 02 May 2020
Learning to Faithfully Rationalize by Construction Sarthak Jain Sarah Wiegreffe Yuval Pinter Byron C. Wallace 64 162 0 30 Apr 2020
Social Bias Frames: Reasoning about Social and Power Implications of Language Maarten Sap Saadia Gabriel Lianhui Qin Dan Jurafsky Noah A. Smith Yejin Choi 123 492 0 10 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 184 10,720 0 29 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 85 739 0 28 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 337 19,824 0 23 Oct 2019
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach Wenpeng Yin Jamaal Hay Dan Roth 122 543 0 31 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 471 24,160 0 26 Jul 2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning Nazneen Rajani Bryan McCann Caiming Xiong R. Socher ReLM LRM 66 561 0 06 Jun 2019
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation Cunxiang Wang Shuailong Liang Yue Zhang Xiaonan Li Tian Gao LRM 49 111 0 02 Jun 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 117 2,306 0 29 Apr 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 245 5,668 0 21 Apr 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 393 634 0 04 Dec 2018
Dialogue Natural Language Inference Sean Welleck Jason Weston Arthur Szlam Kyunghyun Cho HILM 68 251 0 01 Nov 2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? Fréderic Godin Kris Demuynck J. Dambre W. D. Neve T. Demeester AI4CE 46 17 0 28 Aug 2018
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions Qing Li Qingyi Tao Shafiq Joty Jianfei Cai Jiebo Luo 64 108 0 20 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 460 4,444 0 18 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 137 2,728 0 13 Apr 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 305 7,410 0 02 Dec 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 97 809 0 13 Jun 2016
Visualizing and Understanding Neural Models in NLP Jiwei Li Xinlei Chen Eduard H. Hovy Dan Jurafsky MILM FAtt 71 706 0 02 Jun 2015