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Fangyuan Xu

Fangyuan Xu has 2 papers in our library, in 2023, most of them on Question answering, Evaluation & benchmarks, Information retrieval & search; often with Eunsol Choi, Mohit Iyyer, Weijia Shi.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 6 · 16 works · 125 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 181 times in our library · ⭐ Paper Stars ranking: #4543

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

🎓Beijing University of TechnologyBeijing · China2025 · 1 papercurrent🎓Western UniversityLondon · Canada2025 · 1 papercurrent🎓Zhejiang Institute of CommunicationsHangzhou · China2018–2021 · 4 papers🎓NingboTech UniversityNingbo · China2016–2018 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workEvaluation & benchmarks · 1 workQuestion answering · 1 work

 Works by year

2020s

20232 papersFangyuan Xu's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation (2023 · 114 citations)
    Retrieval-augmented LMs usually place several retrieved passages before the prompt. This makes inference expensive, and long contexts can distract the model with irrelevant or badly placed information. RECOMP (Retrieve, Compress, Prepend) adds a small trainable step between retrieval and a frozen, black-box LM: the…
  2. A Critical Evaluation of Evaluations for Long-form Question Answering (2023 · 112 citations)
    Evaluating long-form question answering (LFQA) is hard because answers are open-ended. Earlier work mostly relied on crowdworkers' A/B preferences and string-overlap metrics such as ROUGE. Xu et al. study both human and automatic evaluation of long answers. They recruited domain experts in seven fields through…

 Co-authors here

4 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 181 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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