Adam Poliak

41 papers A* 3B 2Journal 17Unranked 19
YearRankTypeTitle / Venue / Authors
2025 B conf
Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference.
COLING
Grace Proebsting, Adam Poliak
2025 J jnl
Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference.
CoRR
Grace Proebsting, Adam Poliak
2024 J jnl
Hypothesis-only Biases in Large Language Model-Elicited Natural Language Inference.
CoRR
Grace Proebsting, Adam Poliak
2023 — conf
Evaluating Paraphrastic Robustness in Textual Entailment Models.
ACL (2)
Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak
2023 J jnl
Evaluating Paraphrastic Robustness in Textual Entailment Models.
CoRR
Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak
2022 J jnl
Discovering changes in birthing narratives during COVID-19.
CoRR
Daphna Spira, Noreen Mayat, Caitlin N. Dreisbach, Adam Poliak
2021 — conf
Figurative Language in Recognizing Textual Entailment.
ACL/IJCNLP (Findings)
Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan
2021 J jnl
Figurative Language in Recognizing Textual Entailment.
CoRR
Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan
2021 J jnl
Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets.
CoRR
Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak
2021 — conf
Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets.
SMM4H@NAACL-HLT
Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, Adam Poliak
2020 J jnl
A Survey on Recognizing Textual Entailment as an NLP Evaluation.
CoRR
Adam Poliak
2020 — conf
A survey on Recognizing Textual Entailment as an NLP Evaluation.
Eval4NLP
Adam Poliak
2020 — conf
Collecting Verified COVID-19 Question Answer Pairs.
NLP4COVID@EMNLP
Adam Poliak, Max Fleming, Cash Costello, Kenton W. Murray, Mahsa Yarmohammadi, Shivani Pandya, Darius Irani, Milind Agarwal, Udit Sharma, Shuo Sun, Nicola Ivanov, Lingxi Shang, Kaushik Srinivasan, Seolhwa Lee, Xu Han, Smisha Agarwal, João Sedoc
2020 J jnl
On the Existence of Tacit Assumptions in Contextualized Language Models.
CoRR
Nathaniel Weir, Adam Poliak, Benjamin Van Durme
2020 B conf
Probing Neural Language Models for Human Tacit Assumptions.
CogSci
Nathaniel Weir, Adam Poliak, Benjamin Van Durme
2020 — conf
Temporal Reasoning in Natural Language Inference.
EMNLP (Findings)
Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White
2020 A* conf
Uncertain Natural Language Inference.
ACL
Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme
2019 — conf
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference.
ACL (1)
Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019 J jnl
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference.
CoRR
Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019 J jnl
Neural variational entity set expansion for automatically populated knowledge graphs.
Inf. Retr. J.
Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme
2019 — conf
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference.
*SEM@NAACL-HLT
Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019 J jnl
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference.
CoRR
Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019 — conf
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension.
*SEM@NAACL-HLT
Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick
2019 J jnl
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension.
CoRR
Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick
2019 — conf
What do you learn from context? Probing for sentence structure in contextualized word representations.
ICLR (Poster)
Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick
2019 J jnl
What do you learn from context? Probing for sentence structure in contextualized word representations.
CoRR
Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick
2018 A* conf
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation.
EMNLP
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
2018 — conf
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation.
BlackboxNLP@EMNLP
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
2018 — conf
Hypothesis Only Baselines in Natural Language Inference.
*SEM@NAACL-HLT
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme
2018 J jnl
Hypothesis Only Baselines in Natural Language Inference.
CoRR
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme
2018 — conf
Neural Variational Entity Set Expansion for Automatically Populated Knowledge Graphs.
ProfS/KG4IR/Data:Search@SIGIR
Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme
2018 — conf
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference.
NAACL-HLT (2)
Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme
2018 J jnl
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference.
CoRR
Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme
2018 J jnl
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations.
CoRR
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
2017 — conf
CADET: Computer Assisted Discovery Extraction and Translation.
IJCNLP (System Demonstrations)
Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn J. Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang
2017 — conf
Efficient, Compositional, Order-sensitive n-gram Embeddings.
EACL (2)
Adam Poliak, Pushpendre Rastogi, M. Patrick Martin, Benjamin Van Durme
2017 — conf
Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis.
EACL (2)
Ryan Cotterell, Adam Poliak, Benjamin Van Durme, Jason Eisner
2017 — conf
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles.
*SEM
Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme
2017 J jnl
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles.
CoRR
Francis Ferraro, Adam Poliak, Ryan Cotterell, Benjamin Van Durme
2017 A* conf
Semantic Proto-Role Labeling.
AAAI
Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew Gormley
2017 — conf
Training Relation Embeddings under Logical Constraints.
KG4IR@SIGIR
Pushpendre Rastogi, Adam Poliak, Benjamin Van Durme