Mahima Pushkarna

24 papers A* 1A 3Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models.
IEEE Trans. Vis. Comput. Graph.
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon
2024 — conf
Believing Anthropomorphism: Examining the Role of Anthropomorphic Cues on Trust in Large Language Models.
CHI Extended Abstracts
Michelle Cohn, Mahima Pushkarna, Gbolahan O. Olanubi, Joseph M. Moran, Daniel Padgett, Zion Mengesha, Courtney Heldreth
2024 J jnl
Believing Anthropomorphism: Examining the Role of Anthropomorphic Cues on Trust in Large Language Models.
CoRR
Michelle Cohn, Mahima Pushkarna, Gbolahan O. Olanubi, Joseph M. Moran, Daniel Padgett, Zion Mengesha, Courtney Heldreth
2024 A conf
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles.
IUI
Savvas Petridis, Benjamin D. Wedin, James Wexler, Mahima Pushkarna, Aaron Donsbach, Nitesh Goyal, Carrie J. Cai, Michael Terry
2024 — conf
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models.
CHI Extended Abstracts
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon
2024 J jnl
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models.
CoRR
Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon
2024 J jnl
LaMPost: AI Writing Assistance for Adults with Dyslexia Using Large Language Models.
Commun. ACM
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
2023 J jnl
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles.
CoRR
Savvas Petridis, Ben Wedin, James Wexler, Aaron Donsbach, Mahima Pushkarna, Nitesh Goyal, Carrie J. Cai, Michael Terry
2023 A conf
From Discovery to Adoption: Understanding the ML Practitioners' Interpretability Journey.
Conference on Designing Interactive Systems
Narges Ashtari, Ryan Mullins, Crystal Qian, James Wexler, Ian Tenney, Mahima Pushkarna
2023 A* conf
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook.
CHI
Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg, Fernanda B. Viégas
2023 J jnl
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook.
CoRR
Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg, Fernanda B. Viégas
2022 — conf
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI.
FAccT
Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson
2022 J jnl
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI.
CoRR
Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson
2022 J jnl
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR
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
2022 — conf
Healthsheet: Development of a Transparency Artifact for Health Datasets.
FAccT
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022 J jnl
Healthsheet: Development of a Transparency Artifact for Health Datasets.
CoRR
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022 A conf
LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia.
ASSETS
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
2022 J jnl
LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia.
CoRR
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
2020 — conf
Probing ML models for fairness with the what-if tool and SHAP: hands-on tutorial.
FAT*
James Wexler, Mahima Pushkarna, Sara Robinson, Tolga Bolukbasi, Andrew Zaldivar
2020 — conf
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models.
EMNLP (Demos)
Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
2020 J jnl
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models.
CoRR
Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan
2020 J jnl
The What-If Tool: Interactive Probing of Machine Learning Models.
IEEE Trans. Vis. Comput. Graph.
James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson
2019 J jnl
The What-If Tool: Interactive Probing of Machine Learning Models.
CoRR
James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda B. Viégas, Jimbo Wilson
2018 J jnl
ClinicalVis: Supporting Clinical Task-Focused Design Evaluation.
CoRR
Marzyeh Ghassemi, Mahima Pushkarna, James Wexler, Jesse Johnson, Paul Varghese