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Evaluating Attribution for Graph Neural Networks., , , , , , , , and . NeurIPS, (2020)LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models., , , , , , , , , and . IEEE Trans. Vis. Comput. Graph., 31 (1): 503-513 (January 2025)LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models., , , , , , , , , and . CHI Extended Abstracts, page 216:1-216:7. ACM, (2024)Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making., , , , , , , , , and 1 other author(s). CHI, page 4. ACM, (2019)Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models., , and . IEEE VIS (Short Papers), page 236-240. IEEE, (2023)Visualizing and Measuring the Geometry of BERT., , , , , , and . NeurIPS, page 8592-8600. (2019)Data Similarity is Not Enough to Explain Language Model Performance., , and . EMNLP, page 11295-11304. Association for Computational Linguistics, (2023)Who's asking? User personas and the mechanics of latent misalignment., , , , , and . CoRR, (2024)Understanding the Dataset Practitioners Behind Large Language Models., , and . CHI Extended Abstracts, page 350:1-350:7. ACM, (2024)The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank., , , , , and . NAACL-HLT (Findings), page 2421-2432. Association for Computational Linguistics, (2022)