Hanna Wallach
28 papers · 2010–2025 · 9 conferences · across top CS/AI conferences
Achievements
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๐งญ Keyword Pioneer ๐ Conference Polyglot (9) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (10) ๐ Academic Marathon (15)
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Keyword Pioneer
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Cross-Pollinator
(13)
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Conference Polyglot
(9)
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Keyword Trendsetter Combo
(3)
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Mega-Team
(20)
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Deep Specialist
(10)
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Topic Evolution
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Keyword Champion
(2)
โก
Prolific Year
(8)
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Trend Setter
๐๏ธ
Keyword Collector
(130)
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The Questioner
(2)
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Century Club
(28)
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Conference Pioneer
Conferences
ACL (8)
ICML (4)
AISTATS (3)
EMNLP (3)
NAACL (3)
NIPS (3)
IJCNLP (2)
AAAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
bayesian inference
(4)
stereotyping detection
(3)
count datum
(3)
natural language processing
(3)
representational harm
(3)
latent variable model
(3)
nonparametric bayesian
(3)
fairness benchmark
(2)
bayesian nonparametrics
(2)
sentiment analysis
(2)
dynamical system
(2)
bias detection
(2)
lexical semantics
(2)
pitman-yor process
(2)
bayesian clustering
(2)
canonical correlation analysis
(2)
generative model
(2)
coreference resolution
(2)
bias mitigation
(2)
stereotype detection
(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 Technologiesโ Performance Disparities on African American Language Speakers
ACL 2024
โOne-Size-Fits-Allโ? Examining Expectations around What Constitute โFairโ or โGoodโ 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 โBiasโ 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
Whatโs 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