| 2026 | ACL | Infusing Theory of Mind into Socially Intelligent LLM Agents. | EunJeong Hwang, Yuwei Yin, Giuseppe Carenini, Peter West, Vered Shwartz |
| 2025 | ACL | Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. | Shivam Chandhok, Wan-Cyuan Fan, Vered Shwartz, Vineeth N. Balasubramanian, Leonid Sigal |
| 2025 | ACL | CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming. | Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li, Sahithya Ravi, Mehar Bhatia, Maria Antoniak, Yulia Tsvetkov, Vered Shwartz, Yejin Choi |
| 2025 | ACL | BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle. | Eunjeong Hwang, Peter West, Vered Shwartz |
| 2025 | CVPR | Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events. | Aditya Chinchure, Sahithya Ravi, Raymond T. Ng, Vered Shwartz, Boyang Li, Leonid Sigal |
| 2024 | ACL | A Graph per Persona: Reasoning about Subjective Natural Language Descriptions. | Eunjeong Hwang, Vered Shwartz, Dan Gutfreund, Veronika Thost |
| 2024 | ACL | Small But Funny: A Feedback-Driven Approach to Humor Distillation. | Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati |
| 2024 | COLING | Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning. | Maksym Taranukhin, Vered Shwartz, Evangelos E. Milios |
| 2024 | EACL | Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. | Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, Vered Shwartz |
| 2024 | EMNLP | From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. | Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz |
| 2024 | EMNLP | Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia. | Farhan Samir, Chan Young Park, Anjalie Field, Vered Shwartz, Yulia Tsvetkov |
| 2023 | ACL | From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? | Albert Coil, Vered Shwartz |
| 2023 | EACL | What happens before and after: Multi-Event Commonsense in Event Coreference Resolution. | Sahithya Ravi, Chris Tanner, Raymond T. Ng, Vered Shwartz |
| 2023 | EMNLP | GD-COMET: A Geo-Diverse Commonsense Inference Model. | Mehar Bhatia, Vered Shwartz |
| 2023 | EMNLP | CASE: Commonsense-Augmented Score with an Expanded Answer Space. | Wenkai Chen, Sahithya Ravi, Vered Shwartz |
| 2023 | EMNLP | MemeCap: A Dataset for Captioning and Interpreting Memes. | Eunjeong Hwang, Vered Shwartz |
| 2023 | EMNLP | Knowledge Graph Compression Enhances Diverse Commonsense Generation. | Eunjeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma |
| 2023 | EMNLP | COMET-M: Reasoning about Multiple Events in Complex Sentences. | Sahithya Ravi, Raymond T. Ng, Vered Shwartz |
| 2023 | WACV | VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. | Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz |
| 2022 | ACL | Good Night at 4 pm?! Time Expressions in Different Cultures. | Vered Shwartz |
| 2021 | AAAI | Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. | Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi |
| 2021 | AAAI | Paragraph-level Commonsense Transformers with Recurrent Memory. | Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi |
| 2021 | EMNLP | Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. | Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer |
| 2021 | EMNLP | Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. | Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi |
| 2020 | ACL | Commonsense Reasoning for Natural Language Processing. | Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth |
| 2020 | COLING | Do Neural Language Models Overcome Reporting Bias? | Vered Shwartz, Yejin Choi |
| 2020 | EMNLP | Social Chemistry 101: Learning to Reason about Social and Moral Norms. | Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi |
| 2020 | EMNLP | Paraphrasing vs Coreferring: Two Sides of the Same Coin. | Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan |
| 2020 | EMNLP | Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. | Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi |
| 2020 | EMNLP | Thinking Like a Skeptic: Defeasible Inference in Natural Language. | Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | "You are grounded!": Latent Name Artifacts in Pre-trained Language Models. | Vered Shwartz, Rachel Rudinger, Oyvind Tafjord |
| 2020 | EMNLP | Unsupervised Commonsense Question Answering with Self-Talk. | Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2019 | ACL | Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. | Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan |
| 2019 | CoNLL | Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. | Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan |
| 2019 | NAACL | Evaluating Text GANs as Language Models. | Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant |
| 2018 | ACL | Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. | Vered Shwartz, Ido Dagan |
| 2018 | ACL | Breaking NLI Systems with Sentences that Require Simple Lexical Inferences. | Max Glockner, Vered Shwartz, Yoav Goldberg |
| 2018 | NAACL | Olive Oil is Made. | Vered Shwartz, Chris Waterson |
| 2017 | EACL | Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. | Vered Shwartz, Enrico Santus, Dominik Schlechtweg |
| 2017 | EACL | A Consolidated Open Knowledge Representation for Multiple Texts. | Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martnez-Cmara, Iryna Gurevych, Ido Dagan |
| 2016 | ACL | Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. | Vered Shwartz, Yoav Goldberg, Ido Dagan |
| 2015 | CoNLL | Learning to Exploit Structured Resources for Lexical Inference. | Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger |