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ORCIDPedro Rodríguez 0001
Person information
- affiliation: Facebook, Seattle, WA, USA
- affiliation: University of Maryland, Department of Computer Science, UMIACS, College Park, MD, USA
Other persons with the same name
- Pedro Rodríguez (aka: Pedro Rodriguez) — disambiguation page
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Books and Theses
- 2021
[b1]Pedro Rodriguez:
Evaluating Machine Intelligence with Question Answering. University of Maryland, College Park, MD, USA, 2021
Journal Articles
- 2023
- [j2]John Patrick Lalor
, Pedro Rodríguez:
py-irt: A Scalable Item Response Theory Library for Python. INFORMS J. Comput. 35(1): 5-13 (2023) - 2019
- [j1]Eric Wallace, Pedro Rodriguez, Shi Feng, Ikuya Yamada, Jordan L. Boyd-Graber:
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples. Trans. Assoc. Comput. Linguistics 7: 387-401 (2019)
Conference and Workshop Papers
- 2024
- [c12]Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer:
Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) 2024: 5421-5434 - [c11]Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR 2024 - 2023
- [c10]Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Wen-tau Yih:
Reimagining Retrieval Augmented Language Models for Answering Queries. ACL (Findings) 2023: 6131-6146 - [c9]Te-Lin Wu, Satwik Kottur, Andrea Madotto, Mahmoud Azab, Pedro Rodríguez, Babak Damavandi, Nanyun Peng, Seungwhan Moon:
SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams. ACL (1) 2023: 6273-6291 - [c8]Pedro Rodriguez, Mahmoud Azab, Becka Silvert, Renato Sanchez, Linzy Labson, Hardik Shah, Seungwhan Moon:
Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks. EACL (Findings) 2023: 47-68 - 2022
- [c7]Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, Douwe Kiela:
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. ACL (demo) 2022: 174-181 - [c6]Pedro Rodríguez, Phu Mon Htut, John Lalor, João Sedoc:
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory. Insights@ACL 2022: 100-112 - 2021
- [c5]Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber:
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL/IJCNLP (1) 2021: 4486-4503 - [c4]Pedro Rodriguez, Jordan L. Boyd-Graber:
Evaluation Paradigms in Question Answering. EMNLP (1) 2021: 9630-9642 - 2020
- [c3]Pedro Rodriguez, Paul A. Crook, Seungwhan Moon, Zhiguang Wang:
Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity. EMNLP (1) 2020: 8153-8172 - 2019
- [c2]Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. INTERSPEECH 2019: 789-793 - 2018
- [c1]Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber:
Pathologies of Neural Models Make Interpretation Difficult. EMNLP 2018: 3719-3728
Informal and Other Publications
- 2024
- [i12]Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer:
Instruction-tuned Language Models are Better Knowledge Learners. CoRR abs/2402.12847 (2024) - [i11]Seraphina Goldfarb-Tarrant, Pedro Rodriguez, Jane Dwivedi-Yu, Patrick S. H. Lewis:
MultiContrievers: Analysis of Dense Retrieval Representations. CoRR abs/2402.15925 (2024) - 2023
- [i10]Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Scott Yih:
Reimagining Retrieval Augmented Language Models for Answering Queries. CoRR abs/2306.01061 (2023) - [i9]Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih:
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR abs/2310.01352 (2023) - 2022
- [i8]John P. Lalor, Pedro Rodríguez:
py-irt: A Scalable Item Response Theory Library for Python. CoRR abs/2203.01282 (2022) - [i7]Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, Douwe Kiela:
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. CoRR abs/2204.01906 (2022) - [i6]Pedro Rodríguez, Mahmoud Azab, Becka Silvert, Renato Sanchez, Linzy Labson, Hardik Shah, Seungwhan Moon:
Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks. CoRR abs/2210.05038 (2022) - 2020
- [i5]Pedro Rodríguez, Paul A. Crook, Seungwhan Moon, Zhiguang Wang:
Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity. CoRR abs/2005.00172 (2020) - 2019
- [i4]Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, Jordan L. Boyd-Graber:
Quizbowl: The Case for Incremental Question Answering. CoRR abs/1904.04792 (2019) - [i3]Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. CoRR abs/1908.02914 (2019) - 2018
- [i2]Shi Feng, Eric Wallace, Mohit Iyyer, Pedro Rodriguez, Alvin Grissom II, Jordan L. Boyd-Graber:
Right Answer for the Wrong Reason: Discovery and Mitigation. CoRR abs/1804.07781 (2018) - [i1]Eric Wallace, Pedro Rodriguez, Shi Feng, Jordan L. Boyd-Graber:
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions. CoRR abs/1809.02701 (2018)
Coauthor Index
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