| 2026 | ACL | Effects of Collaboration on the Performance of Interactive Theme Discovery Systems. | Alvin Po-Chun Chen, Rohan Das, Dananjay Srinivas, Alexandra Barry, Maksim Seniw, Maria Leonor Pacheco |
| 2026 | ACL | A Structured Clustering Approach for Inducing Media Narratives. | Rohan Das, Advait Deshmukh, Alexandria Leto, Zohar Naaman, I-Ta Lee, Maria Leonor Pacheco |
| 2026 | ACL | LOGICAL-COMMONSENSEQA: A Benchmark for Logical Commonsense Reasoning. | Obed Junias, Maria Leonor Pacheco |
| 2026 | ACL | Lost in Translation, and Found: Detecting and Interpreting Translation Effects. | Shira Wein, Anna Serbina, Jiyuan Ji, Nathan Wolf, Jason DeGraaff, Prajakta Kini, Maria Leonor Pacheco |
| 2026 | EACL | Mapping the Course for Prompt-based Structured Prediction. | Matt Pauk, Maria Leonor Pacheco |
| 2026 | LREC | CLEVR-3D-DeRef. | Mary Lynn Martin, Martha Palmer, Maria Leonor Pacheco |
| 2025 | ACL | CLIX: Cross-Lingual Explanations of Idiomatic Expressions. | Aaron Gluck, Katharina von der Wense, Maria Leonor Pacheco |
| 2025 | ACL | Explaining Puzzle Solutions in Natural Language: An Exploratory Study on 6x6 Sudoku. | Anirudh Maiya, Razan Alghamdi, Maria Leonor Pacheco, Ashutosh Trivedi, Fabio Somenzi |
| 2025 | NAACL | Identifying Power Relations in Conversations using Multi-Agent Social Reasoning. | Zhaoqing Wu, Dan Goldwasser, Maria Leonor Pacheco, Leora Morgenstern |
| 2024 | ACL | Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News. | Alexandria Leto, Elliot Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco |
| 2023 | ACL | Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. | Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser |
| 2022 | ACL | Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks. | Nikhil Mehta, Maria Leonor Pacheco, Dan Goldwasser |
| 2022 | EMNLP | Hands-On Interactive Neuro-Symbolic NLP with DRaiL. | Maria Leonor Pacheco, Shamik Roy, Dan Goldwasser |
| 2022 | NAACL | A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. | Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser |
| 2022 | SP | Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents. | Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru |
| 2021 | EACL | Randomized Deep Structured Prediction for Discourse-Level Processing. | Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser |
| 2021 | EMNLP | Identifying Morality Frames in Political Tweets using Relational Learning. | Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser |
| 2021 | NAACL | Modeling Human Mental States with an Entity-based Narrative Graph. | I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser |
| 2020 | EMNLP | Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations. | I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser |
| 2020 | SIGdial | Identifying Collaborative Conversations using Latent Discourse Behaviors. | Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser |
| 2019 | AAAI | Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols. | Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru |
| 2016 | CoNLL | Adapting Event Embedding for Implicit Discourse Relation Recognition. | Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser |
| 2016 | EMNLP | Introducing DRAIL - a Step Towards Declarative Deep Relational Learning. | Xiao Zhang, Maria Leonor Pacheco, Chang Li, Dan Goldwasser |