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2020 – today
- 2024
[j2]Steven M. Goodman
, Erin Buehler, Patrick Clary, Andy Coenen, Aaron Donsbach, Tiffanie N. Horne, Michal Lahav, Robert MacDonald, Rain Breaw Michaels, Ajit Narayanan, Mahima Pushkarna, Joel Riley, Alex Santana, Lei Shi, Rachel Sweeney, Phil Weaver, Ann Yuan, Meredith Ringel Morris:
LaMPost: AI Writing Assistance for Adults with Dyslexia Using Large Language Models. Commun. ACM 67(9): 80-89 (2024)- [c10]Michelle Cohn, Mahima Pushkarna, Gbolahan O. Olanubi, Joseph M. Moran, Daniel Padgett, Zion Mengesha, Courtney Heldreth:
Believing Anthropomorphism: Examining the Role of Anthropomorphic Cues on Trust in Large Language Models. CHI Extended Abstracts 2024: 54:1-54:15 - [c9]Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon:
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. CHI Extended Abstracts 2024: 216:1-216:7 - [c8]Savvas Petridis, Benjamin D. Wedin, James Wexler, Mahima Pushkarna, Aaron Donsbach, Nitesh Goyal, Carrie J. Cai, Michael Terry:
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles. IUI 2024: 853-868 - [i11]Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon:
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. CoRR abs/2402.10524 (2024) - [i10]Michelle Cohn, Mahima Pushkarna, Gbolahan O. Olanubi, Joseph M. Moran, Daniel Padgett, Zion Mengesha, Courtney Heldreth:
Believing Anthropomorphism: Examining the Role of Anthropomorphic Cues on Trust in Large Language Models. CoRR abs/2405.06079 (2024) - 2023
- [c7]Narges Ashtari, Ryan Mullins, Crystal Qian, James Wexler, Ian Tenney, Mahima Pushkarna:
From Discovery to Adoption: Understanding the ML Practitioners' Interpretability Journey. Conference on Designing Interactive Systems 2023: 2304-2325 - [c6]Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg, Fernanda B. Viégas:
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook. CHI 2023: 356:1-356:13 - [i9]Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg, Fernanda B. Viégas:
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook. CoRR abs/2301.12243 (2023) - [i8]Savvas Petridis, Ben Wedin, James Wexler, Aaron Donsbach, Mahima Pushkarna, Nitesh Goyal, Carrie J. Cai, Michael Terry:
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles. CoRR abs/2310.15428 (2023) - 2022
- [c5]Steven M. Goodman, Erin Buehler, Patrick Clary, Andy Coenen, Aaron Donsbach, Tiffanie N. Horne, Michal Lahav, Robert MacDonald, Rain Breaw Michaels, Ajit Narayanan, Mahima Pushkarna, Joel Riley, Alex Santana, Lei Shi, Rachel Sweeney, Phil Weaver, Ann Yuan, Meredith Ringel Morris:
LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia. ASSETS 2022: 24:1-24:18 - [c4]Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson:
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI. FAccT 2022: 1776-1826 - [c3]Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT 2022: 1943-1961 - [i7]Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR abs/2202.13028 (2022) - [i6]Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson:
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI. CoRR abs/2204.01075 (2022) - [i5]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i4]Steven M. Goodman, Erin Buehler, Patrick Clary, Andy Coenen, Aaron Donsbach, Tiffanie N. Horne, Michal Lahav, Robert MacDonald, Rain Breaw Michaels, Ajit Narayanan, Mahima Pushkarna, Joel Riley, Alex Santana, Lei Shi, Rachel Sweeney, Phil Weaver, Ann Yuan, Meredith Ringel Morris:
LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia. CoRR abs/2207.02308 (2022) - 2020
- [j1]James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson:
The What-If Tool: Interactive Probing of Machine Learning Models. IEEE Trans. Vis. Comput. Graph. 26(1): 56-65 (2020) - [c2]Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan:
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. EMNLP (Demos) 2020: 107-118 - [c1]James Wexler, Mahima Pushkarna, Sara Robinson, Tolga Bolukbasi, Andrew Zaldivar:
Probing ML models for fairness with the what-if tool and SHAP: hands-on tutorial. FAT* 2020: 705 - [i3]Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan:
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. CoRR abs/2008.05122 (2020)
2010 – 2019
- 2019
- [i2]James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson:
The What-If Tool: Interactive Probing of Machine Learning Models. CoRR abs/1907.04135 (2019) - 2018
- [i1]Marzyeh Ghassemi, Mahima Pushkarna, James Wexler, Jesse Johnson, Paul Varghese:
ClinicalVis: Supporting Clinical Task-Focused Design Evaluation. CoRR abs/1810.05798 (2018)
Coauthor Index
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