Su Lin Blodgett
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
7
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation. | Katelyn Xiaoying Mei, Yi-Li Hsu, Minjoon Choi, Zongwan Cao, Chenjun Xu, Bingbing Wen, Su Lin Blodgett, Lucy Lu Wang |
| 2026 | CHI | A Framework to Characterize Reporting on Generative AI Use. | Agathe Balayn, Varun Nagaraj Rao, Su Lin Blodgett, Aylin Caliskan, Solon Barocas |
| 2026 | CHI | From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants. | Shalaleh Rismani, Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, AJung Moon |
| 2025 | ACL | Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems. | Myra Cheng, Su Lin Blodgett, Alicia DeVrio, Lisa Egede, Alexandra Olteanu |
| 2025 | ACL | Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems. | Emma Harvey, Emily Sheng, Su Lin Blodgett, Alexandra Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna M. Wallach |
| 2025 | CHI | A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies. | Alicia DeVrio, Myra Cheng, Lisa Egede, Alexandra Olteanu, Su Lin Blodgett |
| 2025 | ICML | Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge. | Hanna M. Wallach, Meera A. Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas J. Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs |
| 2024 | ACL | Understanding the Impacts of Language Technologies' Performance Disparities on African American Language Speakers. | Jay Cunningham, Su Lin Blodgett, Michael Madaio, Hal Daum III, Christina N. Harrington, Hanna M. Wallach |
| 2024 | ACL | ECBD: Evidence-Centered Benchmark Design for NLP. | Yu Lu Liu, Su Lin Blodgett, Jackie C. K. Cheung, Vera Liao, Alexandra Olteanu, Ziang Xiao |
| 2024 | EMNLP | Human-Centered Evaluation of Language Technologies. | Su Lin Blodgett, Jackie Chi Kit Cheung, Vera Liao, Ziang Xiao |
| 2024 | EMNLP | Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP. | Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat |
| 2024 | NAACL | The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. | Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat |
| 2024 | NAACL | "One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors. | Li Lucy, Su Lin Blodgett, Milad Shokouhi, Hanna M. Wallach, Alexandra Olteanu |
| 2023 | AAAI | Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. | Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas |
| 2023 | ACL | FairPrism: Evaluating Fairness-Related Harms in Text Generation. | Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daum III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach |
| 2023 | ACL | This prompt is measuring \textlessmask\textgreater: evaluating bias evaluation in language models. | Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett |
| 2023 | ACL | It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. | Arjun Subramonian, Xingdi Yuan, Hal Daum III, Su Lin Blodgett |
| 2023 | EMNLP | Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. | Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler |
| 2022 | AIES | Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. | David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad |
| 2022 | CHI | Responsible Language Technologies: Foreseeing and Mitigating Harms. | Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang |
| 2022 | NAACL | Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. | Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daum III, Kaheer Suleman, Alexandra Olteanu |
| 2021 | ACL | Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets. | Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, Hanna M. Wallach |
| 2021 | ACL | A Survey of Race, Racism, and Anti-Racism in NLP. | Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov |
| 2020 | ACL | Language (Technology) is Power: A Critical Survey of "Bias" in NLP. | Su Lin Blodgett, Solon Barocas, Hal Daum III, Hanna M. Wallach |
| 2018 | ACL | Twitter Universal Dependency Parsing for African-American and Mainstream American English. | Su Lin Blodgett, Johnny Wei, Brendan T. O'Connor |
| 2018 | NAACL | Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses. | Katherine A. Keith, Su Lin Blodgett, Brendan T. O'Connor |
| 2016 | EMNLP | Demographic Dialectal Variation in Social Media: A Case Study of African-American English. | Su Lin Blodgett, Lisa Green, Brendan T. O'Connor |