Learning to Exploit Structured Resources for Lexical Inference. - Vered Shwartz; Omer Levy; Ido Dagan; Jacob Goldberger (CoNLL, 2015)

Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms. - Tae-Gil Noh; Sebastian Padó; Vered Shwartz; Ido Dagan; Vivi Nastase; Kathrin Eichler; Lili Kotlerman; Meni Adler (*SEM@NAACL-HLT, 2015)

Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. - Vered Shwartz; Yoav Goldberg; Ido Dagan (ACL (1), 2016)

Path-based vs. Distributional Information in Recognizing Lexical Semantic Relations. - Vered Shwartz; Ido Dagan (CogALex@COLING, 2016)

CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations. - Vered Shwartz; Ido Dagan (CogALex@COLING, 2016)

Adding Context to Semantic Data-Driven Paraphrasing. - Vered Shwartz; Ido Dagan (*SEM@ACL, 2016)

The Roles of Path-based and Distributional Information in Recognizing Lexical Semantic Relations. - Vered Shwartz; Ido Dagan (CoRR, 2016)

Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection. - Vered Shwartz; Enrico Santus; Dominik Schlechtweg (EACL (1), 2017)

A Consolidated Open Knowledge Representation for Multiple Texts. - Rachel Wities; Vered Shwartz; Gabriel Stanovsky; Meni Adler; Ori Shapira; Shyam Upadhyay; Dan Roth 001; Eugenio Martínez-Cámara; Iryna Gurevych; Ido Dagan (LSDSem@EACL, 2017)

Neural Disambiguation of Causal Lexical Markers Based on Context. - Eugenio Martínez-Cámara; Vered Shwartz; Iryna Gurevych; Ido Dagan (IWCS(2), 2017)

Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network. - Sneha Rajana; Chris Callison-Burch; Marianna Apidianaki; Vered Shwartz (*SEM, 2017)

Acquiring Predicate Paraphrases from News Tweets. - Vered Shwartz; Gabriel Stanovsky; Ido Dagan (*SEM, 2017)

Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations. - Vered Shwartz; Ido Dagan (ACL (1), 2018)

Breaking NLI Systems with Sentences that Require Simple Lexical Inferences. - Max Glockner; Vered Shwartz; Yoav Goldberg (ACL (2), 2018)

Olive Oil is Made. - Vered Shwartz; Chris Waterson (NAACL-HLT (2), 2018)

SemEval-2018 Task 9: Hypernym Discovery. - José Camacho-Collados; Claudio Delli Bovi; Luis Espinosa Anke; Sergio Oramas; Tommaso Pasini; Enrico Santus; Vered Shwartz; Roberto Navigli; Horacio Saggion (SemEval@NAACL-HLT, 2018)

Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. - Tu Vu; Vered Shwartz (*SEM@NAACL-HLT, 2018)

Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural Model. - Vered Shwartz; Chris Waterson (CoRR, 2018)

Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. - Shany Barhom; Vered Shwartz; Alon Eirew; Michael Bugert; Nils Reimers 001; Ido Dagan (ACL (1), 2019)

Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. - Ohad Rozen; Vered Shwartz; Roee Aharoni; Ido Dagan (CoNLL, 2019)

A Systematic Comparison of English Noun Compound Representations. - Vered Shwartz (MWE-WN@ACL, 2019)

Evaluating Text GANs as Language Models. - Guy Tevet; Gavriel Habib; Vered Shwartz; Jonathan Berant (NAACL-HLT (1), 2019)

Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. - Vered Shwartz; Ido Dagan (Trans. Assoc. Comput. Linguistics, 2019)

Commonsense Reasoning for Natural Language Processing. - Maarten Sap; Vered Shwartz; Antoine Bosselut; Yejin Choi 001; Dan Roth 001 (ACL (tutorial), 2020)

Do Neural Language Models Overcome Reporting Bias? - Vered Shwartz; Yejin Choi 001 (COLING, 2020)

Social Chemistry 101: Learning to Reason about Social and Moral Norms. - Maxwell Forbes; Jena D. Hwang; Vered Shwartz; Maarten Sap; Yejin Choi 001 (EMNLP (1), 2020)

Paraphrasing vs Coreferring: Two Sides of the Same Coin. - Yehudit Meged; Avi Caciularu; Vered Shwartz; Ido Dagan (EMNLP (Findings), 2020)

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 001; Antoine Bosselut; Yejin Choi 001 (EMNLP (1), 2020)

Thinking Like a Skeptic: Defeasible Inference in Natural Language. - Rachel Rudinger; Vered Shwartz; Jena D. Hwang; Chandra Bhagavatula; Maxwell Forbes; Ronan Le Bras 001; Noah A. Smith; Yejin Choi 001 (EMNLP (Findings), 2020)

"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. - Vered Shwartz; Rachel Rudinger; Oyvind Tafjord (EMNLP (1), 2020)

Unsupervised Commonsense Question Answering with Self-Talk. - Vered Shwartz; Peter West; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (EMNLP (1), 2020)

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. - Grace Bang; Guy Barash; Ryan Beal; Jacques Calì; Mauricio Castillo-Effen; Xin Cynthia Chen; Niyati Chhaya; Rachel Cummings; Rohan Dhoopar; Sebastijan Dumancic; Huáscar Espinoza; Eitan Farchi; et al. (AI Mag., 2020)

Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. - Faeze Brahman; Vered Shwartz; Rachel Rudinger; Yejin Choi 001 (AAAI, 2021)

Paragraph-level Commonsense Transformers with Recurrent Memory. - Saadia Gabriel; Chandra Bhagavatula; Vered Shwartz; Ronan Le Bras 001; Maxwell Forbes; Yejin Choi 001 (AAAI, 2021)

Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. - Ari Holtzman; Peter West; Vered Shwartz; Yejin Choi 001; Luke Zettlemoyer (EMNLP (1), 2021)

Uncovering Implicit Gender Bias in Narratives through Commonsense Inference. - Tenghao Huang; Faeze Brahman; Vered Shwartz; Snigdha Chaturvedi (EMNLP (Findings), 2021)

A Long Hard Look at MWEs in the Age of Language Models. - Vered Shwartz (MWE@ACL-IJCNLP, 2021)

Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference. - Ohad Rozen; Shmuel Amar; Vered Shwartz; Ido Dagan (*SEM, 2021)

Dissertation Abstract: Learning High Precision Lexical Inferences. - Vered Shwartz (Künstliche Intell., 2021)

Good Night at 4 pm?! Time Expressions in Different Cultures. - Vered Shwartz (ACL (Findings), 2022)

It's not Rocket Science: Interpreting Figurative Language in Narratives. - Tuhin Chakrabarty; Yejin Choi 001; Vered Shwartz (Trans. Assoc. Comput. Linguistics, 2022)

From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? - Albert Coil; Vered Shwartz (ACL (Findings), 2023)

What happens before and after: Multi-Event Commonsense in Event Coreference Resolution. - Sahithya Ravi; Chris Tanner; Raymond T. Ng; Vered Shwartz (EACL, 2023)

GD-COMET: A Geo-Diverse Commonsense Inference Model. - Mehar Bhatia; Vered Shwartz (EMNLP, 2023)

CASE: Commonsense-Augmented Score with an Expanded Answer Space. - Wenkai Chen; Sahithya Ravi; Vered Shwartz (EMNLP (Findings), 2023)

MemeCap: A Dataset for Captioning and Interpreting Memes. - Eunjeong Hwang; Vered Shwartz (EMNLP, 2023)

Knowledge Graph Compression Enhances Diverse Commonsense Generation. - Eunjeong Hwang; Veronika Thost; Vered Shwartz; Tengfei Ma 001 (EMNLP, 2023)

COMET-M: Reasoning about Multiple Events in Complex Sentences. - Sahithya Ravi; Raymond T. Ng; Vered Shwartz (EMNLP (Findings), 2023)

VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge. - Sahithya Ravi; Aditya Chinchure; Leonid Sigal; Renjie Liao; Vered Shwartz (WACV, 2023)

From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds? - Jordan Coil; Vered Shwartz (CoRR, 2023)

Automatic Evaluation of Generative Models with Instruction Tuning. - Shuhaib Mehri; Vered Shwartz (CoRR, 2023)

A Graph per Persona: Reasoning about Subjective Natural Language Descriptions. - Eunjeong Hwang; Vered Shwartz; Dan Gutfreund; Veronika Thost (ACL (Findings), 2024)

Small But Funny: A Feedback-Driven Approach to Humor Distillation. - Sahithya Ravi; Patrick Huber; Akshat Shrivastava; Vered Shwartz; Arash Einolghozati (ACL (1), 2024)

Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning. - Maksym Taranukhin; Vered Shwartz; Evangelos E. Milios (LREC/COLING, 2024)

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 001; Yoav Goldberg; Maarten Sap; Vered Shwartz (EACL (1), 2024)

From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models. - Mehar Bhatia; Sahithya Ravi; Aditya Chinchure; Eunjeong Hwang; Vered Shwartz (EMNLP, 2024)

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 (EMNLP, 2024)

Small But Funny: A Feedback-Driven Approach to Humor Distillation. - Sahithya Ravi; Patrick Huber; Akshat Shrivastava; Adithya Sagar; Ahmed Aly; Vered Shwartz; Arash Einolghozati (CoRR, 2024)

Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights. - Maksym Taranukhin; Sahithya Ravi; Gábor Lukács; Evangelos E. Milios; Vered Shwartz (CoRR, 2024)

CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge. - Yu Ying Chiu; Liwei Jiang; Maria Antoniak; Chan Young Park; Shuyue Stella Li; Mehar Bhatia; Sahithya Ravi; Yulia Tsvetkov; Vered Shwartz; Yejin Choi 001 (CoRR, 2024)

CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs. - 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 001 (CoRR, 2024)

Efficiently Identifying Low-Quality Language Subsets in Multilingual Datasets: A Case Study on a Large-Scale Multilingual Audio Dataset. - Farhan Samir; Emily P. Ahn; Shreya Prakash; Márton Sóskuthy; Vered Shwartz; Jian Zhu (CoRR, 2024)

MCPDial: A Minecraft Persona-driven Dialogue Dataset. - Seyed Hossein Alavi; Sudha Rao; Ashutosh Adhikari; Gabriel DesGarennes; Akanksha Malhotra; Chris Brockett; Mahmoud Adada; Raymond T. Ng; Vered Shwartz; Bill Dolan (CoRR, 2024)

Game Plot Design with an LLM-powered Assistant: An Empirical Study with Game Designers. - Seyed Hossein Alavi; Weijia Xu; Nebojsa Jojic; Daniel Kennett; Raymond T. Ng; Sudha Rao; Haiyan Zhang; Bill Dolan; Vered Shwartz (CoRR, 2024)

Aligning Generalisation Between Humans and Machines. - Filip Ilievski; Barbara Hammer; Frank van Harmelen; Benjamin Paassen; Sascha Saralajew; Ute Schmid; Michael Biehl; Marianna Bolognesi; Xin Luna Dong; Kiril Gashteovski; Pascal Hitzler; Giuseppe Marra; et al. (CoRR, 2024)

Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities. - Shivam Chandhok; Wan-Cyuan Fan; Vered Shwartz; Vineeth N. Balasubramanian; Leonid Sigal (ACL (1), 2025)

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 001 (ACL (1), 2025)

BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle. - Eunjeong Hwang; Peter West; Vered Shwartz (ACL (Findings), 2025)

Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events. - Aditya Chinchure; Sahithya Ravi; Raymond T. Ng; Vered Shwartz; Boyang Li; Leonid Sigal (CVPR, 2025)

A Comparative Approach for Auditing Multilingual Phonetic Transcript Archives. - Farhan Samir; Emily P. Ahn; Shreya Prakash; Márton Sóskuthy; Vered Shwartz; Jian Zhu (Trans. Assoc. Comput. Linguistics, 2025)

Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions. - Zhe Liu; Taekyu Kang; Haoyu Wang; Seyed Hossein Alavi; Vered Shwartz (CoRR, 2025)

Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs. - Daniel Lee; Harsh Sharma; Jieun Han; Sunny Jeong; Alice Oh; Vered Shwartz (CoRR, 2025)

Is It Bad to Work All the Time? Cross-Cultural Evaluation of Social Norm Biases in GPT-4. - Zhuozhuo Joy Liu; Farhan Samir; Mehar Bhatia; Laura K. Nelson; Vered Shwartz (CoRR, 2025)

WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions. - Zining Wang; Yuxuan Zhang; Dongwook Yoon; Nicholas Vincent; Farhan Samir; Vered Shwartz (CoRR, 2025)