Dialogue focus tracking for zero pronoun resolution. - Sudha Rao; Allyson Ettinger; Hal Daumé III; Philip Resnik (HLT-NAACL, 2015)

Modeling N400 amplitude using vector space models of word representation. - Allyson Ettinger; Naomi Feldman; Philip Resnik; Colin Phillips (CogSci, 2016)

Retrofitting Sense-Specific Word Vectors Using Parallel Text. - Allyson Ettinger; Philip Resnik; Marine Carpuat (HLT-NAACL, 2016)

Probing for semantic evidence of composition by means of simple classification tasks. - Allyson Ettinger; Ahmed Elgohary; Philip Resnik (RepEval@ACL, 2016)

Evaluating vector space models using human semantic priming results. - Allyson Ettinger; Tal Linzen (RepEval@ACL, 2016)

Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task. - Allyson Ettinger; Sudha Rao; Hal Daumé III; Emily M. Bender (CoRR, 2017)

Assessing Composition in Sentence Vector Representations. - Allyson Ettinger; Ahmed Elgohary; Colin Phillips; Philip Resnik (COLING, 2018)

Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words. - Josef Klafka; Allyson Ettinger (ACL, 2020)

PeTra: A Sparsely Supervised Memory Model for People Tracking. - Shubham Toshniwal; Allyson Ettinger; Kevin Gimpel; Karen Livescu (ACL, 2020)

Exploring Lexical Relations in BERT using Semantic Priming. - Kanishka Misra; Allyson Ettinger; Julia Rayz (CogSci, 2020)

Exploring BERT's sensitivity to lexical cues using tests from semantic priming. - Kanishka Misra; Allyson Ettinger; Julia Rayz (EMNLP (Findings), 2020)

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. - Shubham Toshniwal; Sam Wiseman; Allyson Ettinger; Karen Livescu; Kevin Gimpel (EMNLP (1), 2020)

Assessing Phrasal Representation and Composition in Transformers. - Lang Yu; Allyson Ettinger (EMNLP (1), 2020)

Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size. - Davis Yoshida; Allyson Ettinger; Kevin Gimpel (CoRR, 2020)

What BERT is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models. - Allyson Ettinger (Trans. Assoc. Comput. Linguistics, 2020)

On the Interplay Between Fine-tuning and Composition in Transformers. - Lang Yu; Allyson Ettinger (ACL/IJCNLP (Findings), 2021)

Variation and generality in encoding of syntactic anomaly information in sentence embeddings. - Qinxuan Wu; Allyson Ettinger (BlackboxNLP@EMNLP, 2021)

Do language models learn typicality judgments from text? - Kanishka Misra; Allyson Ettinger; Julia Rayz (CogSci, 2021)

Pragmatic competence of pre-trained language models through the lens of discourse connectives. - Lalchand Pandia; Yan Cong; Allyson Ettinger (CoNLL, 2021)

Sorting through the noise: Testing robustness of information processing in pre-trained language models. - Lalchand Pandia; Allyson Ettinger (EMNLP (1), 2021)

A Property Induction Framework for Neural Language Models. - Kanishka Misra; Julia Rayz; Allyson Ettinger (CogSci, 2022)

"No, They Did Not": Dialogue Response Dynamics in Pre-trained Language Models. - Sanghee J. Kim; Lang Yu; Allyson Ettinger (COLING, 2022)

COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models. - Kanishka Misra; Julia Taylor Rayz; Allyson Ettinger (CoRR, 2022)

Counterfactual reasoning: Do language models need world knowledge for causal understanding? - Jiaxuan Li; Lang Yu; Allyson Ettinger (CoRR, 2022)

Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios. - Jiaxuan Li; Lang Yu; Allyson Ettinger (ACL (2), 2023)

COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. - Kanishka Misra; Julia Rayz; Allyson Ettinger (EACL, 2023)

"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. - Allyson Ettinger; Jena D. Hwang; Valentina Pyatkin; Chandra Bhagavatula; Yejin Choi 001 (EMNLP (Findings), 2023)

Can You Follow Me? Testing Situational Understanding for ChatGPT. - Chenghao Yang 001; Allyson Ettinger (EMNLP, 2023)

Linguistic Productivity: the Case of Determiners in English. - Raquel G. Alhama; Ruthe Foushee; Daniel Byrne; Allyson Ettinger; Susan Goldin-Meadow; Afra Alishahi (IJCNLP (1), 2023)

Faith and Fate: Limits of Transformers on Compositionality. - Nouha Dziri; Ximing Lu; Melanie Sclar; Xiang Lorraine Li; Liwei Jiang; Bill Yuchen Lin; Sean Welleck; Peter West; Chandra Bhagavatula; Ronan Le Bras 001; Jena D. Hwang; Soumya Sanyal 001; et al. (NeurIPS, 2023)

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently. - Kanishka Misra; Allyson Ettinger; Kyle Mahowald (EMNLP, 2024)

The Generative AI Paradox: "What It Can Create, It May Not Understand". - Peter West; Ximing Lu; Nouha Dziri; Faeze Brahman; Linjie Li; Jena D. Hwang; Liwei Jiang; Jillian Fisher; Abhilasha Ravichander; Khyathi Raghavi Chandu; Benjamin Newman; Pang Wei Koh; et al. (ICLR, 2024)

When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models. - Yanhong Li; Chenghao Yang 001; Allyson Ettinger (NAACL-HLT (Findings), 2024)

WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs. - Seungju Han 002; Kavel Rao; Allyson Ettinger; Liwei Jiang; Bill Yuchen Lin; Nathan Lambert 001; Yejin Choi 001; Nouha Dziri (NeurIPS, 2024)

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. - Liwei Jiang; Kavel Rao; Seungju Han 002; Allyson Ettinger; Faeze Brahman; Sachin Kumar 009; Niloofar Mireshghallah; Ximing Lu; Maarten Sap; Yejin Choi 001; Nouha Dziri (NeurIPS, 2024)

To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices. - Sean McGregor; Allyson Ettinger; Nick Judd; Paul Albee; Liwei Jiang; Kavel Rao; William H. Smith; Shayne Longpre; Avijit Ghosh; Christopher Fiorelli; Michelle Hoang; Sven Cattell; et al. (AAAI, 2025)

AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. - Ximing Lu; Melanie Sclar; Skyler Hallinan; Niloofar Mireshghallah; Jiacheng Liu 010; Seungju Han 002; Allyson Ettinger; Liwei Jiang; Khyathi Raghavi Chandu; Nouha Dziri; Yejin Choi 001 (ICLR, 2025)

FlexOlmo: Open Language Models for Flexible Data Use. - Weijia Shi; Akshita Bhagia; Kevin Farhat; Niklas Muennighoff; Pete Walsh; Jacob Morrison; Dustin Schwenk; Shayne Longpre; Jake Poznanski; Allyson Ettinger; Daogao Liu; Margaret Li; et al. (CoRR, 2025)