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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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2020 – today
- 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 - [i14]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) - [i13]Seraphina Goldfarb-Tarrant, Pedro Rodriguez, Jane Dwivedi-Yu, Patrick S. H. Lewis:
MultiContrievers: Analysis of Dense Retrieval Representations. CoRR abs/2402.15925 (2024) - [i12]Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu:
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. CoRR abs/2410.00215 (2024) - [i11]Artidoro Pagnoni, Ram Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srinivasan Iyer:
Byte Latent Transformer: Patches Scale Better Than Tokens. CoRR abs/2412.09871 (2024) - 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) - [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 - [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
- [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 - [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) - 2021
- [b1]Pedro Rodriguez:
Evaluating Machine Intelligence with Question Answering. University of Maryland, College Park, MD, USA, 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 - [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)
2010 – 2019
- 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) - [c2]Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. INTERSPEECH 2019: 789-793 - [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
- [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 - [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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