Maria Leonor Pacheco

47 papers A* 2A 1B 1Journal 23Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Do We Engage with Other Disciplines? A Framework to Study Meaningful Interdisciplinary Discourse in Scholarly Publications.
CoRR
Bagyasree Sudharsan, Alexandria Leto, Maria Leonor Pacheco
2026 J jnl
LOGICAL-COMMONSENSEQA: A Benchmark for Logical Commonsense Reasoning.
CoRR
Obed Junias, Maria Leonor Pacheco
2026 — conf
Mapping the Course for Prompt-based Structured Prediction.
EACL (Volume 1: Long Papers)
Matt Pauk, Maria Leonor Pacheco
2025 — conf
CLIX: Cross-Lingual Explanations of Idiomatic Expressions.
ACL (Findings)
Aaron Gluck, Katharina von der Wense, Maria Leonor Pacheco
2025 J jnl
CLIX: Cross-Lingual Explanations of Idiomatic Expressions.
CoRR
Aaron Gluck, Katharina von der Wense, Maria Leonor Pacheco
2025 J jnl
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs.
CoRR
Ankush Raut, Xiaofeng Zhu, Maria Leonor Pacheco
2025 J jnl
Explaining Hitori Puzzles: Neurosymbolic Proof Staging for Sequential Decisions.
CoRR
Maria Leonor Pacheco, Fabio Somenzi, Dananjay Srinivas, Ashutosh Trivedi
2025 — conf
Explaining Puzzle Solutions in Natural Language: An Exploratory Study on 6x6 Sudoku.
ACL (Findings)
Anirudh Maiya, Razan Alghamdi, Maria Leonor Pacheco, Ashutosh Trivedi, Fabio Somenzi
2025 J jnl
Explaining Puzzle Solutions in Natural Language: An Exploratory Study on 6x6 Sudoku.
CoRR
Anirudh Maiya, Razan Alghamdi, Maria Leonor Pacheco, Ashutosh Trivedi, Fabio Somenzi
2025 — conf
Identifying Power Relations in Conversations using Multi-Agent Social Reasoning.
NAACL (Short Papers)
Zhaoqing Wu, Dan Goldwasser, Maria Leonor Pacheco, Leora Morgenstern
2025 J jnl
Mapping the Course for Prompt-based Structured Prediction.
CoRR
Matt Pauk, Maria Leonor Pacheco
2025 — ed.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2025 - Volume 4: Student Research Workshop, Albuquerque, NM, USA, April 30 - May 1, 2025
NAACL (Student Research Workshop)
Abteen Ebrahimi, Samar Haider, Emmy Liu, Sammar Haider, Maria Leonor Pacheco, Shira Wein
2024 J jnl
All Entities are Not Created Equal: Examining the Long Tail for Fine-Grained Entity Typing.
CoRR
Advait Deshmukh, Ashwin Umadi, Dananjay Srinivas, Maria Leonor Pacheco
2024 — conf
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News.
ACL (1)
Alexandria Leto, Elliot Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco
2024 J jnl
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News.
CoRR
Alexandria Leto, Elliot Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco
2024 J jnl
Media Framing through the Lens of Event-Centric Narratives.
CoRR
Rohan Das, Aditya Chandra, I-Ta Lee, Maria Leonor Pacheco
2024 — conf
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes.
SemEval@NAACL
Matt Pauk, Maria Leonor Pacheco
2024 J jnl
Show, Don't Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis.
CoRR
John Komp, Dananjay Srinivas, Maria Leonor Pacheco, Ashutosh Trivedi
2024 J jnl
Studying the Effects of Collaboration in Interactive Theme Discovery Systems.
CoRR
Alvin Po-Chun Chen, Dananjay Srinivas, Alexandra Barry, Maksim Seniw, Maria Leonor Pacheco
2023 — conf
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections.
ACL (Findings)
Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser
2023 J jnl
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections.
CoRR
Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser
2023 J jnl
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software.
CoRR
Dananjay Srinivas, Rohan Das, Saeid Tizpaz-Niari, Ashutosh Trivedi, Maria Leonor Pacheco
2023 — conf
Queer In AI: A Case Study in Community-Led Participatory AI.
FAccT
Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2023 J jnl
Queer In AI: A Case Study in Community-Led Participatory AI.
CoRR
Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2022 — conf
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate.
NAACL-HLT
Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser
2022 J jnl
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate.
CoRR
Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser
2022 A* conf
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents.
SP
Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru
2022 J jnl
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents.
CoRR
Maria Leonor Pacheco, Max von Hippel, Ben Weintraub, Dan Goldwasser, Cristina Nita-Rotaru
2022 — conf
Hands-On Interactive Neuro-Symbolic NLP with DRaiL.
EMNLP (Demos)
Maria Leonor Pacheco, Shamik Roy, Dan Goldwasser
2022 — ed.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, NAACL-HLT 2022, Hybrid Event / Seattle, WA, USA, July 10-15, 2022
NAACL-HLT (Student Research Workshop)
Daphne Ippolito, Liunian Harold Li, Maria Leonor Pacheco, Danqi Chen, Nianwen Xue
2022 — conf
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks.
ACL (1)
Nikhil Mehta, Maria Leonor Pacheco, Dan Goldwasser
2021 — conf
Identifying Morality Frames in Political Tweets using Relational Learning.
EMNLP (1)
Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser
2021 J jnl
Identifying Morality Frames in Political Tweets using Relational Learning.
CoRR
Shamik Roy, Maria Leonor Pacheco, Dan Goldwasser
2021 J jnl
Modeling Content and Context with Deep Relational Learning.
Trans. Assoc. Comput. Linguistics
Maria Leonor Pacheco, Dan Goldwasser
2021 — conf
Modeling Human Mental States with an Entity-based Narrative Graph.
NAACL-HLT
I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
2021 J jnl
Modeling Human Mental States with an Entity-based Narrative Graph.
CoRR
I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
2021 A conf
Randomized Deep Structured Prediction for Discourse-Level Processing.
EACL
Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser
2021 J jnl
Randomized Deep Structured Prediction for Discourse-Level Processing.
CoRR
Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser
2020 B conf
Identifying Collaborative Conversations using Latent Discourse Behaviors.
SIGdial
Ayush Jain, Maria Leonor Pacheco, Steven Lancette, Mahak Goindani, Dan Goldwasser
2020 J jnl
Modeling Content and Context with Deep Relational Learning.
CoRR
Maria Leonor Pacheco, Dan Goldwasser
2020 — conf
Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations.
EMNLP (Findings)
I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser
2019 A* conf
Leveraging Textual Specifications for Grammar-Based Fuzzing of Network Protocols.
AAAI
Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru
2018 J jnl
Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols.
CoRR
Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser, Cristina Nita-Rotaru
2017 — conf
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings.
SemEval@ACL
I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser
2016 — conf
Adapting Event Embedding for Implicit Discourse Relation Recognition.
CoNLL Shared Task
Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser
2016 — conf
Introducing DRAIL - a Step Towards Declarative Deep Relational Learning.
SPNLP@EMNLP
Xiao Zhang, Maria Leonor Pacheco, Chang Li, Dan Goldwasser
2015 — conf
Random Forest with Increased Generalization: A Universal Background Approach for Authorship Verification.
CLEF (Working Notes)
Maria Leonor Pacheco, Kelwin Fernandes, Aldo Porco