PhD Thesis

• Pedro Rodriguez. Evaluating Machine Intelligence with Question Answering. University of Maryland, College Park, 2021.

Conference and Journal Papers

• Pedro Rodriguez, Mahmoud Azab, Becka Silvert, Renato Sanchez, Linzy Labson, Hardik Shah, and Seungwhan Moon. Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks. Findings of the European Chapter of the Association for Computational Linguistics, 2023.
• Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, and Douwe Kiela. Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2022.
• John P. Lalor, and Pedro Rodriguez. PY-IRT: A Scalable Item Response Theory Library for Python. {INFORMS} Journal on Computing, 2022.
• Pedro Rodriguez, and Jordan Boyd-Graber. Evaluation Paradigms in Question Answering. Empirical Methods in Natural Language Processing, 2021.
• Pedro Rodriguez, Joe Barrow, Alexander Hoyle, John P. Lalor, Robin Jia, and Jordan Boyd-Graber. Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?. Association for Computational Linguistics, 2021.
• Pedro Rodriguez, Paul Crook, Seungwhan Moon, and Zhiguang Wang. Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity. Empirical Methods in Natural Language Processing, 2020.
• Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, and Jordan Boyd-Graber. Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples. Transactions of the Association of Computational Linguistics, 2019.
• Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, and Jordan Boyd-Graber. Mitigating Noisy Inputs for Question Answering. Interspeech, 2019.
• Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, and Jordan Boyd-Graber. Pathologies of Neural Models Make Interpretations Difficult. Empirical Methods in Natural Language Processing, 2018.
• Jordan Boyd-Graber, Shi Feng, and Pedro Rodriguez. Human-Computer Question Answering: The Case for Quizbowl. The NIPS '17 Competition: Building Intelligent Systems, 2018.

arXiv

• Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, and Jordan Boyd-Graber. Quizbowl: The Case for Incremental Question Answering. arXiv, 2019.

Workshop Papers

• Pedro Rodriguez, Phu Mon Htut, John P. Lalor, and João Sedoc. Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory. Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022.
• Naveen Raman, Pedro Rodriguez, and Jordan Boyd-Graber. What more can Entity Linking do for Question Answering? . {NeurIPS} 2020 Workshop on Human And Model in the Loop Evaluation and Training Strategies, 2020.
• Santiago Rodriguez, and Pedro Rodriguez. Classification of snow anisotropic surfaces for mountainous terrain with mixed vegetative cover using optical and thermal spectra from Landsat-8. Proceedings of the 2018 International Snow Science Workshop, 2018.
• Santiago Rodriguez, Pedro Rodriguez, and Bryan Biggs. Ski Touring Bitacora - An innovative approach for trip planning, recording observations, and risk management while traveling in Avalanche terrain. Proceedings of the 2018 International Snow Science Workshop, 2018.
• Pedro Rodriguez, Santiago Rodriguez, and Julian Carielo. The Stability Wheel: An Intuitive and Didactic Decision-Making Framework. Proceedings of the 2014 International Snow Science Workshop, 2014.
• Santiago Rodriguez, Hans Peter Marshall, and Pedro Rodriguez. Applications of Low Cost and Low Power FMCW Radar in the Characterization of Dry Snow. Proceedings of the 2014 International Snow Science Workshop, 2014.

Non-Refereed

• Pedro Rodriguez, Joshua S. Bloom, and Joseph W. Richards. Cross Matching MACC and ROSAT: Characterization of Matching and Resulting Class Trends. American Astronomical Society Meeting Abstracts #221, 2013.

Media

• Matthew Wright. New method peeks inside the 'black box' of artificial intelligence. EurekAlert, 2018.
• Yomihiro Katabuti. The Impact of Fast-Moving AI: Dominating Trivia Champs. IT Media, 2018.
• Melissa Brachfeld. UMD Computerized System Beats Human Quiz Bowl Team at Atlanta Exhibition. UMIACS, 2017.
• Ikuya Yamada, Jordan Boyd-Graber, and Pedro Rodriguez. OUSIA vs. Trivia All-Stars. , 2017.

Course Projects

• Pedro Rodriguez, and Mozhi Zhang. Zero-Shot Learning from Wikipedia Descriptions. UMD Course Project - CMSC828I, 2018.
• Pedro Rodriguez, and Fenfei Guo. Using the Wikipedia Game to Play Trivia Games. CUB Course Project - CSCI 5352, 2016.