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Liang He

Liang He has 2 papers in our library, in 2023, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Anwen Hu, Chenliang Li, Guohai Xu.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 21 · 144 works · 1,515 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 145 times in our library · ⭐ Paper Stars ranking: #4486

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 40 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model (2023 · 128 citations)
    Understanding images that contain text, such as documents, tables, charts, webpages and street photos, usually requires either an external OCR system or costly domain-specific pretraining.
  2. Evaluating the Performance of Large Language Models on GAOKAO Benchmark (2023 · 109 citations)
    Popular LLM benchmarks such as MMLU, C-Eval and AGIEval consist almost entirely of objective items. They reveal little about generative ability and give no intuitive, human-comparable sense of model skill. The authors address this gap with GAOKAO-Bench, a dataset of national Chinese college entrance exam (GAOKAO)…

 Co-authors here

12 of 15 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 145 times (of the 141,840 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated

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