Pedro Rodriguez
Pedro Rodriguez
Research Scientist, Facebook
Verified email at - Homepage
Cited by
Cited by
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
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
Quizbowl: The case for incremental question answering
P Rodriguez, S Feng, M Iyyer, H He, J Boyd-Graber
arXiv preprint arXiv:1904.04792, 2019
Ra-dit: Retrieval-augmented dual instruction tuning
XV Lin, X Chen, M Chen, W Shi, M Lomeli, R James, P Rodriguez, J Kahn, ...
arXiv preprint arXiv:2310.01352, 2023
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
Mitigating noisy inputs for question answering
D Peskov, J Barrow, P Rodriguez, G Neubig, J Boyd-Graber
arXiv preprint arXiv:1908.02914, 2019
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
Trick me if you can: Adversarial writing of trivia challenge questions
E Wallace, J Boyd-Graber
ACL Student Research Workshop, 2018
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
Evaluation paradigms in question answering
P Rodriguez, J Boyd-Graber
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
py-irt: A Scalable Item Response Theory Library for Python
JP Lalor, P Rodriguez
INFORMS Journal on Computing 35 (1), 5-13, 2023
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
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
Reimagining Retrieval Augmented Language Models for Answering Queries
WC Tan, Y Li, P Rodriguez, R James, XV Lin, A Halevy, S Yih
arXiv preprint arXiv:2306.01061, 2023
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
Item Response Theory for Natural Language Processing
JP Lalor, P Rodriguez, J Sedoc, J Hernandez-Orallo
Proceedings of the 18th Conference of the European Chapter of the …, 2024
MultiContrievers: Analysis of Dense Retrieval Representations
S Goldfarb-Tarrant, P Rodriguez, J Dwivedi-Yu, P Lewis
arXiv preprint arXiv:2402.15925, 2024
Instruction-tuned Language Models are Better Knowledge Learners
Z Jiang, Z Sun, W Shi, P Rodriguez, C Zhou, G Neubig, XV Lin, W Yih, ...
arXiv preprint arXiv:2402.12847, 2024
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