Pathologies of Neural Models Make Interpretation Difficult. - Shi Feng 005; Eric Wallace; Alvin Grissom II; Mohit Iyyer; Pedro Rodriguez 001; Jordan L. Boyd-Graber (EMNLP, 2018)

Right Answer for the Wrong Reason: Discovery and Mitigation. - Shi Feng 005; Eric Wallace; Mohit Iyyer; Pedro Rodriguez 001; Alvin Grissom II; Jordan L. Boyd-Graber (CoRR, 2018)

Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions. - Eric Wallace; Pedro Rodriguez 001; Shi Feng 005; Jordan L. Boyd-Graber (CoRR, 2018)

Mitigating Noisy Inputs for Question Answering. - Denis Peskov; Joe Barrow; Pedro Rodriguez 001; Graham Neubig; Jordan L. Boyd-Graber (INTERSPEECH, 2019)

Quizbowl: The Case for Incremental Question Answering. - Pedro Rodriguez 001; Shi Feng 005; Mohit Iyyer; He He 001; Jordan L. Boyd-Graber (CoRR, 2019)

Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples. - Eric Wallace; Pedro Rodriguez 001; Shi Feng 005; Ikuya Yamada; Jordan L. Boyd-Graber (Trans. Assoc. Comput. Linguistics, 2019)

Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity. - Pedro Rodriguez 001; Paul A. Crook; Seungwhan Moon; Zhiguang Wang (EMNLP (1), 2020)

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? - Pedro Rodriguez 001; Joe Barrow; Alexander Miserlis Hoyle; John P. Lalor; Robin Jia; Jordan L. Boyd-Graber (ACL/IJCNLP (1), 2021)

Evaluation Paradigms in Question Answering. - Pedro Rodriguez 001; Jordan L. Boyd-Graber (EMNLP (1), 2021)

Evaluating Machine Intelligence with Question Answering. - Pedro Rodriguez 001 (2021)

Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory. - Pedro Rodríguez 001; Phu Mon Htut; John Lalor; João Sedoc (Insights@ACL, 2022)

Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks. - Tristan Thrush; Kushal Tirumala; Anmol Gupta; Max Bartolo; Pedro Rodriguez 001; Tariq Kane; William Gaviria Rojas; Peter Mattson; Adina Williams; Douwe Kiela (ACL (demo), 2022)

py-irt: A Scalable Item Response Theory Library for Python. - John P. Lalor; Pedro Rodríguez 001 (CoRR, 2022)

Reimagining Retrieval Augmented Language Models for Answering Queries. - Wang-Chiew Tan; Yuliang Li 001; Pedro Rodriguez 001; Richard James 001; Xi Victoria Lin; Alon Y. Halevy; Wen-tau Yih (ACL (Findings), 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 001; Babak Damavandi; Nanyun Peng 001; Seungwhan Moon (ACL (1), 2023)

Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks. - Pedro Rodriguez 001; Mahmoud Azab; Becka Silvert; Renato Sanchez; Linzy Labson; Hardik Shah; Seungwhan Moon (EACL (Findings), 2023)

py-irt: A Scalable Item Response Theory Library for Python. - John Patrick Lalor; Pedro Rodríguez 001 (INFORMS J. Comput., 2023)

Instruction-tuned Language Models are Better Knowledge Learners. - Zhengbao Jiang; Zhiqing Sun; Weijia Shi; Pedro Rodríguez 001; Chunting Zhou; Graham Neubig; Xi Victoria Lin; Wen-tau Yih; Srini Iyer 001 (ACL (1), 2024)

RA-DIT: Retrieval-Augmented Dual Instruction Tuning. - Xi Victoria Lin; Xilun Chen 002; Mingda Chen; Weijia Shi; Maria Lomeli; Richard James 001; Pedro Rodriguez 001; Jacob Kahn; Gergely Szilvasy; Mike Lewis; Luke Zettlemoyer; Wen-tau Yih (ICLR, 2024)

MultiContrievers: Analysis of Dense Retrieval Representations. - Seraphina Goldfarb-Tarrant; Pedro Rodriguez 001; Jane Dwivedi-Yu; Patrick S. H. Lewis (CoRR, 2024)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

Byte Latent Transformer: Patches Scale Better Than Tokens. - Artidoro Pagnoni; Ramakanth Pasunuru; Pedro Rodríguez 001; John Nguyen; Benjamin Muller; Margaret Li; Chunting Zhou; Lili Yu; Jason E. Weston; Luke Zettlemoyer; Gargi Ghosh; Mike Lewis; et al. (ACL (1), 2025)