Elamur Research⌕
☰
home / authors / Pedro Rodriguez

Pedro Rodriguez

Pedro Rodriguez has 2 papers in our library, in 2019–2023, most of them on Language models & pretraining, Question answering, Information retrieval & search; often with Eric Wallace, Gergely Szilvasy, Ikuya Yamada.

2 papers in our library · 2019–2023

OpenAlex · ORCID · h-index 8 · 42 works · 546 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 185 times in our library · ⭐ Paper Stars ranking: #4068

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢MetaMenlo Park · United States2022–2025 · 2 paperscurrent🎓University of Maryland, College ParkCollege Park · United States2018–2022 · 6 papers🎓University of Notre DameNotre Dame · United States2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Question answering · 1 workInformation retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20231 paperRA-DIT: Retrieval-Augmented Dual Instruction Tuning

2010s

20191 paperTrick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering

 Papers

The most cited first (OpenAlex and our library).

  1. Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering (2019 · 182 citations)
    Automatic adversarial attacks in NLP usually apply narrow, meaning-preserving tweaks such as typos, word swaps, or distractor sentences.
  2. RA-DIT: Retrieval-Augmented Dual Instruction Tuning (2023 · 145 citations)
    Large language models store knowledge only in their weights, so they handle rare facts poorly and are costly to update.

 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 185 times (of the 141,840 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/pedro-rodriguez/