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No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML.

, , , , , , and . CHI, page 1-13. ACM, (2020)

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Beyond Accuracy: Behavioral Testing of NLP Models with CheckList., , , and . ACL, page 4902-4912. Association for Computational Linguistics, (2020)ScatterShot: Interactive In-context Example Curation for Text Transformation., , , , and . CoRR, (2023)Workshop on Trust and Reliance in AI-Human Teams (TRAIT)., , , , , , and . CHI Extended Abstracts, page 116:1-116:6. ACM, (2022)Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia., , , , , , , and . CHI, page 193:1-193:24. ACM, (2024)Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs., , , , , and . EMNLP (Findings), page 13504-13519. Association for Computational Linguistics, (2023)SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning., , , , and . CoRR, (2024)Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong., , , , , , and . NAACL-HLT, page 1459-1474. Association for Computational Linguistics, (2024)Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract)., , , and . IJCAI, page 4824-4828. ijcai.org, (2021)HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices., , , and . CoRR, (2023)PromptChainer: Chaining Large Language Model Prompts through Visual Programming., , , , , , and . CHI Extended Abstracts, page 359:1-359:10. ACM, (2022)