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Yiming Liang

Yiming Liang has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Baolin Peng, Ge Zhang, Hangyu Guo.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 18 · 52 works · 1,059 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 58 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9310

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

🎓East China Normal UniversityShanghai · China2012–2026 · 18 papersEducation 2012–2016Employment since 2021current🎓Purdue University West LafayetteWest Lafayette · United States2025–2026 · 3 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2017–2024 · 24 papers🏛️Chinese Academy of SciencesBeijing · China2017–2025 · 23 papers🔬Institute of Psychology, Chinese Academy of SciencesBeijing · China2016–2021 · 21 papersEducation since 2016🔬Institute of AutomationBeijing · China2024–2025 · 4 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksPsychology · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workExperimental and Cognitive Psychology · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OmniBench: Towards The Future of Universal Omni-Language Models (2024 · 17 citations)
    Most multimodal LLMs are built and tested on pairs of modalities (image–text or audio–text), so it is unclear how well they handle an image, an audio clip and a text instruction together.
  2. SynthAgent: Adapting Web Agents with Synthetic Supervision (2026)
    Web agents often fail on websites they never saw during training. Such sites rarely come with tasks or demonstrations, and hiring people to write them for each new site is costly. Earlier synthetic-data pipelines fix only one half of the task–trajectory pair. Some produce hallucinated, infeasible goals. Others…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series ↗arXiv:2405.19327 · no summary yetGe Zhang et al.2024 · 44 citations
  2. OmniBench: Towards The Future of Universal Omni-Language ModelsConference on Neural Information Processing Systems (NeurIPS)Yizhi Li, Yinghao Ma, Ge Zhang, et al.2024 · 17 citations
  3. SynthAgent: Adapting Web Agents with Synthetic SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.2026

 Co-authors here

12 of 16 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 58 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

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