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Boran Han

Boran Han has 2 papers in our library, in 2026, most of them on Language models & pretraining, Information retrieval & search, Vision & language; often with Bonan Min, Qi Zhu, Shuai Wang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 10 · 24 works · 1,155 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #12865

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

🏢AmazonSeattle · United States2023–2026 · 15 papers🎓Harvard UniversityCambridge · United States2016–2022 · 6 papers🔬Howard Hughes Medical InstituteChevy Chase · United States2016–2022 · 5 papers🎓Shandong UniversityJinan · China2010–2012 · 5 papers🏢ShellHouston · United States2021–2022 · 3 papers🎓Chinese University of Hong KongHong Kong · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation retrieval & search · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Efficient Table Retrieval and Understanding with Multimodal Large Language Models (2026 · 1 citation)
    Most work on multimodal table understanding assumes the model already has the right table. This paper addresses a more realistic setting: a user asks a question, and the answer is somewhere in a large collection of tables stored as images, such as scans or screenshots. The authors propose TabRAG, a three-stage…
  2. When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors (2026)
    Even when LLMs parse a table correctly, they often misread it during reasoning. They cite the wrong cell, mix up columns, or skip relevant rows. The authors call these slips data referencing errors (DREs) and split them into two types: Incorrect Citation and Omitted Information. Earlier work looked at DREs only…

 Co-authors here

6 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 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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