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.
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
Affiliations
Concepts, shelves and topics
📚 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 worksVision & language · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- 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. - 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
- Anwen Hu
- Chenliang Li
- Guohai Xu
- Haiyang Xu
- Ji Zhang
- Jiabo Ye
- Jun Zhan
- Junfeng Tian
- Ming Yan
- Peng Li
- Qi Qian
- Qin Jin
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/liang-he/