Are Distributional Representations Ready for the Real World? Evaluating Word Vectors for Grounded Perceptual Meaning. - Li Lucy; Jon Gauthier (RoboNLP@ACL, 2017)

Using Sentiment Induction to Understand Variation in Gendered Online Communities. - Li Lucy; Julia Mendelsohn (CoRR, 2018)

Characterizing English Variation across Social Media Communities with BERT. - Li Lucy; David Bamman (Trans. Assoc. Comput. Linguistics, 2021)

Discovering Differences in the Representation of People using Contextualized Semantic Axes. - Li Lucy; Divya Tadimeti; David Bamman (EMNLP, 2022)

Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. - Li Lucy; Jesse Dodge; David Bamman; Katherine A. Keith (ACL (Findings), 2023)

"One-size-fits-all"? Observations and Expectations of NLG Systems Across Identity-Related Language Features. - Li Lucy; Su Lin Blodgett; Milad Shokouhi; Hanna M. Wallach; Alexandra Olteanu (CoRR, 2023)

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters. - Li Lucy; Suchin Gururangan; Luca Soldaini; Emma Strubell; David Bamman; Lauren F. Klein; Jesse Dodge (ACL (1), 2024)

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. - Luca Soldaini; Rodney Kinney; Akshita Bhagia; Dustin Schwenk; David Atkinson; Russell Authur; Ben Bogin; Khyathi Raghavi Chandu; Jennifer Dumas; Yanai Elazar; Valentin Hofmann; Ananya Harsh Jha; et al. (ACL (1), 2024)

On Classification with Large Language Models in Cultural Analytics. - David Bamman; Kent K. Chang; Li Lucy; Naitian Zhou (CHR, 2024)

MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula. - Li Lucy; Tal August; Rose E. Wang; Luca Soldaini; Courtney Allison; Kyle Lo (EMNLP (Findings), 2024)

"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 (NAACL-HLT, 2024)

Evaluating Language Model Math Reasoning via Grounding in Educational Curricula. - Li Lucy; Tal August; Rose E. Wang; Luca Soldaini; Courtney Allison; Kyle Lo (CoRR, 2024)

Tell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes. - Li Lucy; Camilla Griffiths; Sarah Levine; Jennifer L. Eberhardt; Dorottya Demszky; David Bamman (ACL (Findings), 2025)

DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students' Hand-Drawn Math Images. - Sami Baral; Li Lucy; Ryan Knight; Alice Ng; Luca Soldaini; Neil T. Heffernan; Kyle Lo (NAACL (Long Papers), 2025)