Pedro Rodriguez
Pedro Rodriguez
Research Scientist, Facebook
Zweryfikowany adres z fb.com - Strona główna
Cytowane przez
Cytowane przez
Pathologies of neural models make interpretations difficult
S Feng, E Wallace, A Grissom II, M Iyyer, P Rodriguez, J Boyd-Graber
arXiv preprint arXiv:1804.07781, 2018
Trick me if you can: Human-in-the-loop generation of adversarial examples for question answering
E Wallace, P Rodriguez, S Feng, I Yamada, J Boyd-Graber
Transactions of the Association for Computational Linguistics 7, 387-401, 2019
Quizbowl: The case for incremental question answering
P Rodriguez, S Feng, M Iyyer, H He, J Boyd-Graber
arXiv preprint arXiv:1904.04792, 2019
Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?
P Rodriguez, J Barrow, AM Hoyle, JP Lalor, R Jia, J Boyd-Graber
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Mitigating noisy inputs for question answering
D Peskov, J Barrow, P Rodriguez, G Neubig, J Boyd-Graber
arXiv preprint arXiv:1908.02914, 2019
Trick me if you can: Adversarial writing of trivia challenge questions
E Wallace, J Boyd-Graber
ACL Student Research Workshop, 2018
Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity
P Rodriguez, P Crook, S Moon, Z Wang
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Human-computer question answering: The case for quizbowl
J Boyd-Graber, S Feng, P Rodriguez
The NIPS'17 Competition: Building Intelligent Systems, 169-180, 2018
Evaluation paradigms in question answering
P Rodriguez, J Boyd-Graber
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
Dynatask: A framework for creating dynamic AI benchmark tasks
T Thrush, K Tirumala, A Gupta, M Bartolo, P Rodriguez, T Kane, ...
arXiv preprint arXiv:2204.01906, 2022
The stability wheel: An intuitive and didactic decision-making framework
PA Rodriguez, S Rodriguez, J Carielo
Proceedings of the 2014 International Snow Science Workshop, 1212-1214, 2014
py-irt: A scalable item response theory library for python
JP Lalor, P Rodriguez
INFORMS Journal on Computing, 2022
Introduction to NIPS 2017 Competition Track
S Escalera, M Weimer, M Burtsev, V Malykh, V Logacheva, R Lowe, ...
The NIPS'17 Competition: Building Intelligent Systems, 1-23, 2018
Applications of low cost and low power FMCW radar in the characterization of dry snow
S Rodriguez, HP Marshall, P Rodriguez
Proceedings of the International Snow Science Workshop, Banff, UK, 857-861, 2014
Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks
P Rodriguez, M Azab, B Silvert, R Sanchez, L Labson, H Shah, S Moon
arXiv preprint arXiv:2210.05038, 2022
Proceedings of the First Workshop on Dynamic Adversarial Data Collection
M Bartolo, H Kirk, P Rodriguez, K Margatina, T Thrush, R Jia, P Stenetorp, ...
Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 2022
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory
P Rodriguez, PM Htut, JP Lalor, J Sedoc
Proceedings of the Third Workshop on Insights from Negative Results in NLP …, 2022
: A Scalable Item Response Theory Library for Python
JP Lalor, P Rodriguez
arXiv preprint arXiv:2203.01282, 2022
Evaluating Machine Intelligence With Question Answering
P Rodriguez
University of Maryland, College Park, 2021
Application of a K-band FMCW Radar for the temporal tracking of dry snow stratigraphy, snowpack melt-freeze states, and mixed snow-rain precipitation events
C Rodriguez, HP Marshall, P Rodriguez
AGU Fall Meeting Abstracts 2018, C13D-1179, 2018
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