Pedro Rodríguez

According to our database, Pedro Rodríguez authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks.

Pedro Rodriguez, Mahmoud Azab, Becka Silvert, Renato Sanchez, Linzy Labson, Hardik Shah, Seungwhan Moon

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams.

Te-Lin Wu, Satwik Kottur, Andrea Madotto, Mahmoud Azab, Pedro Rodríguez, Babak Damavandi, Nanyun Peng, Seungwhan Moon

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

py-irt: A Scalable Item Response Theory Library for Python.

John P. Lalor, Pedro Rodríguez

CoRR, 2022

Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory.

Pedro Rodríguez, Phu Mon Htut, John Lalor, João Sedoc

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Evaluating Machine Intelligence with Question Answering.

Pedro Rodriguez

PhD thesis, 2021

Evaluation Paradigms in Question Answering.

Pedro Rodriguez, Jordan L. Boyd-Graber

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?

Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity.

Pedro Rodriguez, Paul A. Crook, Seungwhan Moon, Zhiguang Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples.

Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, Jordan L. Boyd-Graber

Trans. Assoc. Comput. Linguistics, 2019

Quizbowl: The Case for Incremental Question Answering.

Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, Jordan L. Boyd-Graber

CoRR, 2019

Mitigating Noisy Inputs for Question Answering.

Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber

Proceedings of the Interspeech 2019, 2019

2018

Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions.

Eric Wallace, Pedro Rodriguez, Shi Feng, Jordan L. Boyd-Graber

CoRR, 2018

Right Answer for the Wrong Reason: Discovery and Mitigation.

Shi Feng, Eric Wallace, Mohit Iyyer, Pedro Rodriguez, Alvin Grissom II, Jordan L. Boyd-Graber

CoRR, 2018

Pathologies of Neural Models Make Interpretation Difficult.

Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018