Measuring Association Between Labels and Free-Text Rationales

24 October 2020

Papers citing "Measuring Association Between Labels and Free-Text Rationales"

43 / 43 papers shown

Title
Improving LLM Personas via Rationalization with Psychological Scaffolds Brihi Joshi Xiang Ren Swabha Swayamdipta Rik Koncel-Kedziorski Tim Paek 73 0 0 25 Apr 2025
AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation Tuhin Chakrabarty Philippe Laban C. Wu 32 1 0 10 Apr 2025
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 70 1 0 07 Feb 2025
Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs SeongYeub Chu JongWoo Kim Bryan Wong MunYong Yi LRM 19 1 0 18 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng Farhad Shirani Zhuomin Chen Chaohao Lin Wei Cheng Wenbo Guo Dongsheng Luo AAML 28 0 0 03 Oct 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach Adam Wojciechowski Mateusz Lango Ondrej Dusek FAtt 41 0 0 30 Jul 2024
CAVE: Controllable Authorship Verification Explanations Sahana Ramnath Kartik Pandey Elizabeth Boschee Xiang Ren 61 1 0 24 Jun 2024
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations? Letitia Parcalabescu Anette Frank MLLM CoGe VLM 82 3 0 29 Apr 2024
Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation Abhijnan Nath Shadi Manafi Avyakta Chelle Nikhil Krishnaswamy 38 1 0 04 Apr 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 48 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
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations Zilu Tang Mayank Agarwal Alex Shypula Bailin Wang Derry Wijaya Jie Chen Yoon Kim LRM 37 15 0 13 Nov 2023
Can Language Models Laugh at YouTube Short-form Videos? Dayoon Ko Sangho Lee Gunhee Kim 31 6 0 22 Oct 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Sreyashi Nag Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 38 1 0 27 Aug 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations Yanda Chen Ruiqi Zhong Narutatsu Ri Chen Zhao He He Jacob Steinhardt Zhou Yu Kathleen McKeown LRM 26 47 0 17 Jul 2023
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs H. Cui Sha Li Yu Zhang Qi Shi 11 1 0 01 Jun 2023
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
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture Bingsheng Yao Ishan Jindal Lucian Popa Yannis Katsis Sayan Ghosh ... Yuxuan Lu Shashank Srivastava Yunyao Li James A. Hendler Dakuo Wang 32 10 0 22 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations Bingsheng Yao Prithviraj Sen Lucian Popa James A. Hendler Dakuo Wang XAI ELM FAtt 23 10 0 04 May 2023
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation Nan-Jiang Jiang Chenhao Tan M. Marneffe 27 2 0 24 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 39 101 0 28 Mar 2023
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE Yuling Gu Yao Fu Valentina Pyatkin Ian H. Magnusson Bhavana Dalvi Peter Clark 70 7 0 28 Oct 2022
ExPUNations: Augmenting Puns with Keywords and Explanations Jiao Sun Anjali Narayan-Chen Shereen Oraby Alessandra Cervone Tagyoung Chung Jing Huang Yang Liu Nanyun Peng 19 10 0 24 Oct 2022
Explanations from Large Language Models Make Small Reasoners Better Shiyang Li Jianshu Chen Yelong Shen Zhiyu Zoey Chen Xinlu Zhang ... Jingu Qian Baolin Peng Yi Mao Wenhu Chen Xifeng Yan ReLM LRM 38 129 0 13 Oct 2022
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales Aaron Chan Shaoliang Nie Liang Tan Xiaochang Peng Hamed Firooz Maziar Sanjabi Xiang Ren 40 9 0 02 Jul 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 27 16 0 13 Jun 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 18 4 0 24 May 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 23 40 0 25 Apr 2022
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning Jiangjie Chen Rui Xu Ziquan Fu Wei Shi Zhongqiao Li Xinbo Zhang Changzhi Sun Lei Li Yanghua Xiao Hao Zhou ELM 23 35 0 16 Mar 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 36 15 0 27 Jan 2022
Reframing Human-AI Collaboration for Generating Free-Text Explanations Sarah Wiegreffe Jack Hessel Swabha Swayamdipta Mark O. Riedl Yejin Choi 21 142 0 16 Dec 2021
Few-Shot Self-Rationalization with Natural Language Prompts Ana Marasović Iz Beltagy Doug Downey Matthew E. Peters LRM 26 106 0 16 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 36 6 0 08 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain! Myeongjun Jang Thomas Lukasiewicz LRM 21 7 0 29 Aug 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 23 35 0 25 Jun 2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks Bhargavi Paranjape Julian Michael Marjan Ghazvininejad Luke Zettlemoyer Hannaneh Hajishirzi ReLM LRM 20 66 0 12 Jun 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Mohit Bansal Caiming Xiong TDI 33 102 0 31 Dec 2020
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision Faeze Brahman Vered Shwartz Rachel Rudinger Yejin Choi LRM 13 42 0 14 Dec 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
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012