 GraphNarrator: Generating Textual Explanations for Graph Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
 Evaluating Saliency Explanations in NLP by CrowdsourcingInternational Conference on Language Resources and Evaluation (LREC), 2024 |
 Proto-lm: A Prototypical Network-Based Framework for Built-in
Interpretability in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 REFER: An End-to-end Rationale Extraction Framework for Explanation
RegularizationConference on Computational Natural Language Learning (CoNLL), 2023 |
 Rephrase, Augment, Reason: Visual Grounding of Questions for
Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Archiki Prasad Elias Stengel-Eskin Mohit Bansal |
 Faithful Explanations of Black-box NLP Models Using LLM-generated
CounterfactualsInternational Conference on Learning Representations (ICLR), 2023 |
 Goodhart's Law Applies to NLP's Explanation BenchmarksFindings (Findings), 2023 |
 Can Authorship Representation Learning Capture Stylistic Features?Transactions of the Association for Computational Linguistics (TACL), 2023 |
 Exploring the Landscape of Natural Language Processing ResearchRecent Advances in Natural Language Processing (RANLP), 2023 |
 CREST: A Joint Framework for Rationalization and Counterfactual Text
GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Counterfactuals of Counterfactuals: a back-translation-inspired approach
to analyse counterfactual editorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Distilling Step-by-Step! Outperforming Larger Language Models with Less
Training Data and Smaller Model SizesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister |
 Answering Questions by Meta-Reasoning over Multiple Chains of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Computational modeling of semantic changeConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 Quantifying Context Mixing in TransformersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 PINTO: Faithful Language Reasoning Using Prompt-Generated RationalesInternational Conference on Learning Representations (ICLR), 2022 |
 Does Self-Rationalization Improve Robustness to Spurious Correlations?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Large Language Models Can Self-ImproveConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Assessing Out-of-Domain Language Model Performance from Few ExamplesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 |
 REV: Information-Theoretic Evaluation of Free-Text RationalesAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Towards Faithful Model Explanation in NLP: A SurveyComputational Linguistics (CL), 2022 |
