← Authors

Hanna Wallach

28 papers · 2010–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (9) 🌟 Keyword Trendsetter Combo (3) πŸ‘₯ Mega-Team (20) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (8) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (130) ❓ The Questioner (2) πŸ’Ž Century Club (28) πŸš€ Conference Pioneer

Conferences

ACL (8) ICML (4) AISTATS (3) EMNLP (3) NAACL (3) NIPS (3) IJCNLP (2) AAAI (1) UAI (1)

Top co-authors

Su Lin Blodgett (9) Alexandra Olteanu (6) Aaron Schein (5) Ryan Cotterell (5) Mingyuan Zhou (4) Alexandra Chouldechova (4) Emily Sheng (4) Lawrence Wolf-Sonkin (4) Solon Barocas (3) Dan Vann (3)

Research topics

Linguistics (1)

Keywords

bayesian inference (4) count datum (3) stereotyping detection (3) natural language processing (3) representational harm (3) latent variable model (3) nonparametric bayesian (3) lexical semantics (2) stereotype detection (2) sentiment analysis (2) dynamical system (2) bias detection (2) pitman-yor process (2) fairness benchmark (2) bayesian clustering (2) canonical correlation analysis (2) generative model (2) coreference resolution (2) bias mitigation (2) grammatical gender (2)

Papers

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems ACL 2025
Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge ICML 2025
Taxonomizing Representational Harms using Speech Act Theory ACL 2025
Understanding the Impacts of Language Technologies’ Performance Disparities on African American Language Speakers ACL 2024
β€œOne-Size-Fits-All”? Examining Expectations around What Constitute β€œFair” or β€œGood” NLG System Behaviors NAACL 2024
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging AAAI 2023
FairPrism: Evaluating Fairness-Related Harms in Text Generation ACL 2023
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets ACL 2021
Doubly non-central beta matrix factorization for DNA methylation data UAI 2021
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets IJCNLP 2021
Language (Technology) is Power: A Critical Survey of β€œBias” in NLP ACL 2020
Locally Private Bayesian Inference for Count Models ICML 2019
Quantifying the Semantic Core of Gender Systems IJCNLP 2019
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology ACL 2019
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling ACL 2019
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes NAACL 2019
Combining Sentiment Lexica with a Multi-View Variational Autoencoder NAACL 2019
Poisson-Randomized Gamma Dynamical Systems NIPS 2019
Quantifying the Semantic Core of Gender Systems EMNLP 2019
A Reductions Approach to Fair Classification ICML 2018
Flexible Models for Microclustering with Application to Entity Resolution NIPS 2016
Poisson-Gamma dynamical systems NIPS 2016
Detecting and Characterizing Events EMNLP 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015
Optimizing Semantic Coherence in Topic Models EMNLP 2011
An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010
Learning the Structure of Deep Sparse Graphical Models AISTATS 2010