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Allyson Ettinger
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2020 – today
- 2024
- [c28]Kanishka Misra, Allyson Ettinger, Kyle Mahowald:
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently. EMNLP 2024: 12342-12355 - [c27]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, Allyson Ettinger, Yejin Choi:
The Generative AI Paradox: "What It Can Create, It May Not Understand". ICLR 2024 - [c26]Yanhong Li, Chenghao Yang, Allyson Ettinger:
When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models. NAACL-HLT (Findings) 2024: 3741-3753 - [i29]Kanishka Misra, Allyson Ettinger, Kyle Mahowald:
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently. CoRR abs/2401.06640 (2024) - [i28]Yanhong Li, Chenghao Yang, Allyson Ettinger:
When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models. CoRR abs/2404.09129 (2024) - [i27]Seungju Han, Kavel Rao, Allyson Ettinger, Liwei Jiang, Bill Yuchen Lin, Nathan Lambert, Yejin Choi, Nouha Dziri:
WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs. CoRR abs/2406.18495 (2024) - [i26]Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri:
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. CoRR abs/2406.18510 (2024) - [i25]Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi:
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. CoRR abs/2410.04265 (2024) - [i24]Sean McGregor, Allyson Ettinger, Nick Judd, Paul Albee, Liwei Jiang, Kavel Rao, Will Smith, Shayne Longpre, Avijit Ghosh, Christopher Fiorelli, Michelle Hoang, Sven Cattell, Nouha Dziri:
To Err is AI : A Case Study Informing LLM Flaw Reporting Practices. CoRR abs/2410.12104 (2024) - 2023
- [c25]Jiaxuan Li, Lang Yu, Allyson Ettinger:
Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios. ACL (2) 2023: 804-815 - [c24]Kanishka Misra, Julia Rayz, Allyson Ettinger:
COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. EACL 2023: 2920-2941 - [c23]Chenghao Yang, Allyson Ettinger:
Can You Follow Me? Testing Situational Understanding for ChatGPT. EMNLP 2023: 6385-6398 - [c22]Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi:
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. EMNLP (Findings) 2023: 8250-8263 - [c21]Raquel G. Alhama, Ruthe Foushee, Daniel Byrne, Allyson Ettinger, Susan Goldin-Meadow, Afra Alishahi:
Linguistic Productivity: the Case of Determiners in English. IJCNLP (1) 2023: 330-343 - [c20]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS 2023 - [i23]Jiaxuan Li, Lang Yu, Allyson Ettinger:
Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios. CoRR abs/2305.16572 (2023) - [i22]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. CoRR abs/2305.18654 (2023) - [i21]Chenghao Yang, Allyson Ettinger:
Can You Follow Me? Testing Situational Understanding in ChatGPT. CoRR abs/2310.16135 (2023) - [i20]Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi:
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. CoRR abs/2310.17793 (2023) - [i19]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, Allyson Ettinger, Yejin Choi:
The Generative AI Paradox: "What It Can Create, It May Not Understand". CoRR abs/2311.00059 (2023) - 2022
- [c19]Kanishka Misra, Julia Rayz, Allyson Ettinger:
A Property Induction Framework for Neural Language Models. CogSci 2022 - [c18]Sanghee J. Kim, Lang Yu, Allyson Ettinger:
"No, They Did Not": Dialogue Response Dynamics in Pre-trained Language Models. COLING 2022: 863-874 - [i18]Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger:
A Property Induction Framework for Neural Language Models. CoRR abs/2205.06910 (2022) - [i17]Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger:
COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models. CoRR abs/2210.01963 (2022) - [i16]Sanghee J. Kim, Lang Yu, Allyson Ettinger:
"No, they did not": Dialogue response dynamics in pre-trained language models. CoRR abs/2210.02526 (2022) - [i15]Jiaxuan Li, Lang Yu, Allyson Ettinger:
Counterfactual reasoning: Do language models need world knowledge for causal understanding? CoRR abs/2212.03278 (2022) - 2021
- [c17]Lang Yu, Allyson Ettinger:
On the Interplay Between Fine-tuning and Composition in Transformers. ACL/IJCNLP (Findings) 2021: 2279-2293 - [c16]Qinxuan Wu, Allyson Ettinger:
Variation and generality in encoding of syntactic anomaly information in sentence embeddings. BlackboxNLP@EMNLP 2021: 250-264 - [c15]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Do language models learn typicality judgments from text? CogSci 2021 - [c14]Lalchand Pandia, Yan Cong, Allyson Ettinger:
Pragmatic competence of pre-trained language models through the lens of discourse connectives. CoNLL 2021: 367-379 - [c13]Lalchand Pandia, Allyson Ettinger:
Sorting through the noise: Testing robustness of information processing in pre-trained language models. EMNLP (1) 2021: 1583-1596 - [i14]Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz:
Do language models learn typicality judgments from text? CoRR abs/2105.02987 (2021) - [i13]Lang Yu, Allyson Ettinger:
On the Interplay Between Fine-tuning and Composition in Transformers. CoRR abs/2105.14668 (2021) - [i12]Lalchand Pandia, Allyson Ettinger:
Sorting through the noise: Testing robustness of information processing in pre-trained language models. CoRR abs/2109.12393 (2021) - [i11]Lalchand Pandia, Yan Cong, Allyson Ettinger:
Pragmatic competence of pre-trained language models through the lens of discourse connectives. CoRR abs/2109.12951 (2021) - [i10]Qinxuan Wu, Allyson Ettinger:
Variation and generality in encoding of syntactic anomaly information in sentence embeddings. CoRR abs/2111.06644 (2021) - 2020
- [j1]Allyson Ettinger:
What BERT is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models. Trans. Assoc. Comput. Linguistics 8: 34-48 (2020) - [c12]Josef Klafka, Allyson Ettinger:
Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words. ACL 2020: 4801-4811 - [c11]Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu:
PeTra: A Sparsely Supervised Memory Model for People Tracking. ACL 2020: 5415-5428 - [c10]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Exploring Lexical Relations in BERT using Semantic Priming. CogSci 2020 - [c9]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Exploring BERT's sensitivity to lexical cues using tests from semantic priming. EMNLP (Findings) 2020: 4625-4635 - [c8]Lang Yu, Allyson Ettinger:
Assessing Phrasal Representation and Composition in Transformers. EMNLP (1) 2020: 4896-4907 - [c7]Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel:
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. EMNLP (1) 2020: 8519-8526 - [i9]Josef Klafka, Allyson Ettinger:
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words. CoRR abs/2005.01810 (2020) - [i8]Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu:
PeTra: A Sparsely Supervised Memory Model for People Tracking. CoRR abs/2005.02990 (2020) - [i7]Davis Yoshida, Allyson Ettinger, Kevin Gimpel:
Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size. CoRR abs/2008.07027 (2020) - [i6]Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel:
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. CoRR abs/2010.02807 (2020) - [i5]Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz:
Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming. CoRR abs/2010.03010 (2020) - [i4]Lang Yu, Allyson Ettinger:
Assessing Phrasal Representation and Composition in Transformers. CoRR abs/2010.03763 (2020)
2010 – 2019
- 2019
- [i3]Allyson Ettinger:
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models. CoRR abs/1907.13528 (2019) - 2018
- [c6]Allyson Ettinger, Ahmed Elgohary, Colin Phillips, Philip Resnik:
Assessing Composition in Sentence Vector Representations. COLING 2018: 1790-1801 - [i2]Allyson Ettinger, Ahmed Elgohary, Colin Phillips, Philip Resnik:
Assessing Composition in Sentence Vector Representations. CoRR abs/1809.03992 (2018) - 2017
- [e1]Allyson Ettinger, Spandana Gella, Matthieu Labeau, Cecilia Ovesdotter Alm, Marine Carpuat, Mark Dredze:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Student Research Workshop. Association for Computational Linguistics 2017, ISBN 978-1-945626-56-2 [contents] - [i1]Allyson Ettinger, Sudha Rao, Hal Daumé III, Emily M. Bender:
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task. CoRR abs/1711.01505 (2017) - 2016
- [c5]Allyson Ettinger, Naomi Feldman, Philip Resnik, Colin Phillips:
Modeling N400 amplitude using vector space models of word representation. CogSci 2016 - [c4]Allyson Ettinger, Philip Resnik, Marine Carpuat:
Retrofitting Sense-Specific Word Vectors Using Parallel Text. HLT-NAACL 2016: 1378-1383 - [c3]Allyson Ettinger, Tal Linzen:
Evaluating vector space models using human semantic priming results. RepEval@ACL 2016: 72-77 - [c2]Allyson Ettinger, Ahmed Elgohary, Philip Resnik:
Probing for semantic evidence of composition by means of simple classification tasks. RepEval@ACL 2016: 134-139 - 2015
- [c1]Sudha Rao, Allyson Ettinger, Hal Daumé III, Philip Resnik:
Dialogue focus tracking for zero pronoun resolution. HLT-NAACL 2015: 494-503
Coauthor Index
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last updated on 2024-11-25 23:39 CET by the dblp team
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