Semantic Proto-Role Labeling. - Adam R. Teichert; Adam Poliak; Benjamin Van Durme; Matthew Gormley 001 (AAAI, 2017)

Efficient, Compositional, Order-sensitive n-gram Embeddings. - Adam Poliak; Pushpendre Rastogi; M. Patrick Martin; Benjamin Van Durme (EACL (2), 2017)

Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. - Ryan Cotterell; Adam Poliak; Benjamin Van Durme; Jason Eisner (EACL (2), 2017)

CADET: Computer Assisted Discovery Extraction and Translation. - 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; et al. (IJCNLP (System Demonstrations), 2017)

Training Relation Embeddings under Logical Constraints. - Pushpendre Rastogi; Adam Poliak; Benjamin Van Durme (KG4IR@SIGIR, 2017)

Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles. - Francis Ferraro; Adam Poliak; Ryan Cotterell; Benjamin Van Durme (*SEM, 2017)

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. - Adam Poliak; Aparajita Haldar; Rachel Rudinger; J. Edward Hu; Ellie Pavlick; Aaron Steven White; Benjamin Van Durme (BlackboxNLP@EMNLP, 2018)

On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. - Adam Poliak; Yonatan Belinkov; James R. Glass; Benjamin Van Durme (NAACL-HLT (2), 2018)

Hypothesis Only Baselines in Natural Language Inference. - Adam Poliak; Jason Naradowsky; Aparajita Haldar; Rachel Rudinger; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. - Adam Poliak; Aparajita Haldar; Rachel Rudinger; J. Edward Hu; Ellie Pavlick; Aaron Steven White; Benjamin Van Durme (CoRR, 2018)

Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. - Yonatan Belinkov; Adam Poliak; Stuart M. Shieber; Benjamin Van Durme; Alexander M. Rush (ACL (1), 2019)

What do you learn from context? Probing for sentence structure in contextualized word representations. - Ian Tenney; Patrick Xia 002; Berlin Chen; Alex Wang; Adam Poliak; R. Thomas McCoy; Najoung Kim; Benjamin Van Durme; Samuel R. Bowman; Dipanjan Das 001; Ellie Pavlick (ICLR (Poster), 2019)

On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. - Yonatan Belinkov; Adam Poliak; Stuart M. Shieber; Benjamin Van Durme; Alexander M. Rush (*SEM@NAACL-HLT, 2019)

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. - Najoung Kim; Roma Patel; Adam Poliak; Patrick Xia 002; Alex Wang; Tom McCoy 001; Ian Tenney; Alexis Ross; Tal Linzen; Benjamin Van Durme; Samuel R. Bowman; Ellie Pavlick (*SEM@NAACL-HLT, 2019)

Neural variational entity set expansion for automatically populated knowledge graphs. - Pushpendre Rastogi; Adam Poliak; Vince Lyzinski; Benjamin Van Durme (Inf. Retr. J., 2019)

Uncertain Natural Language Inference. - Tongfei Chen; Zhengping Jiang; Adam Poliak; Keisuke Sakaguchi; Benjamin Van Durme (ACL, 2020)

Probing Neural Language Models for Human Tacit Assumptions. - Nathaniel Weir; Adam Poliak; Benjamin Van Durme (CogSci, 2020)

Collecting Verified COVID-19 Question Answer Pairs. - 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; et al. (NLP4COVID@EMNLP, 2020)

Temporal Reasoning in Natural Language Inference. - Siddharth Vashishtha; Adam Poliak; Yash Kumar Lal; Benjamin Van Durme; Aaron Steven White (EMNLP (Findings), 2020)

A survey on Recognizing Textual Entailment as an NLP Evaluation. - Adam Poliak (Eval4NLP, 2020)

On the Existence of Tacit Assumptions in Contextualized Language Models. - Nathaniel Weir; Adam Poliak; Benjamin Van Durme (CoRR, 2020)

Figurative Language in Recognizing Textual Entailment. - Tuhin Chakrabarty; Debanjan Ghosh; Adam Poliak; Smaranda Muresan (ACL/IJCNLP (Findings), 2021)

Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets. - Max Fleming; Priyanka Dondeti; Caitlin N. Dreisbach; Adam Poliak (SMM4H@NAACL-HLT, 2021)

Discovering changes in birthing narratives during COVID-19. - Daphna Spira; Noreen Mayat; Caitlin N. Dreisbach; Adam Poliak (CoRR, 2022)

Evaluating Paraphrastic Robustness in Textual Entailment Models. - Dhruv Verma; Yash Kumar Lal; Shreyashee Sinha; Benjamin Van Durme; Adam Poliak (ACL (2), 2023)

Hypothesis-only Biases in Large Language Model-Elicited Natural Language Inference. - Grace Proebsting; Adam Poliak (CoRR, 2024)

Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference. - Grace Proebsting; Adam Poliak (COLING, 2025)