When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

3 February 2021

Papers citing "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"

23 / 23 papers shown

Title
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
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong C. Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 68 2 0 18 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
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights Mohamad Ballout U. Krumnack Gunther Heidemann Kai-Uwe Kühnberger 26 2 0 19 Sep 2024
Explanation Regularisation through the Lens of Attributions Pedro Ferreira Wilker Aziz Ivan Titov 33 1 0 23 Jul 2024
Evaluating Human Alignment and Model Faithfulness of LLM Rationale Mohsen Fayyaz Fan Yin Jiao Sun Nanyun Peng 48 3 0 28 Jun 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 46 7 0 20 Dec 2023
Passive learning of active causal strategies in agents and language models Andrew Kyle Lampinen Stephanie C. Y. Chan Ishita Dasgupta A. Nam Jane X. Wang 27 15 0 25 May 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 29 101 0 28 Mar 2023
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
Learning to Reason With Relational Abstractions A. Nam Mengye Ren Chelsea Finn James L. McClelland ReLM LRM 21 4 0 06 Oct 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 25 16 0 13 Jun 2022
Learning to Ignore Adversarial Attacks Yiming Zhang Yan Zhou Samuel Carton Chenhao Tan 46 2 0 23 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 31 283 0 05 Apr 2022
What to Learn, and How: Toward Effective Learning from Rationales Samuel Carton Surya Kanoria Chenhao Tan 16 22 0 30 Nov 2021
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs Peter Hase Mona T. Diab Asli Celikyilmaz Xian Li Zornitsa Kozareva Veselin Stoyanov Mohit Bansal Srini Iyer KELM LRM 17 79 0 26 Nov 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 23 45 0 16 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 17 48 0 20 Mar 2021
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 274 170 0 24 Oct 2020
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 38 43 0 05 May 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,584 0 03 Sep 2019
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 225 3,672 0 28 Feb 2017