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Chenliang Li

Chenliang Li has 3 papers in our library, in 2020–2023, most of them on Language models & pretraining, Vision & language, Sentiment & emotion; often with Anwen Hu, Guohai Xu, Haiyang Xu.

3 papers in our library · 2020–2023

OpenAlex · ORCID · Wikidata · h-index 43 · 196 works · 8,184 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 389 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #2310

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. 8 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. mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality (2023 · 410 citations)
    Before mPLUG-Owl, open multimodal chat models such as MiniGPT-4 and LLaVA used a frozen vision encoder and only a small trainable bridge to the language model.
  2. Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification (2020 · 397 citations)
    The paper addresses aspect-based sentiment classification: deciding the polarity a sentence expresses toward a particular aspect, such as positive about "battery life" but negative about "memory" in the same review.
  3. 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.

All works

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

  1. mPLUG-Owl: Modularization Empowers Large Language Models with MultimodalityarXiv:2304.14178Qinghao Ye, Haiyang Xu, Guohai Xu, et al.2023 · 410 citations
  2. Small LLMs Are Weak Tool Learners: A Multi-LLM Agent ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetWeizhou Shen et al.2024 · 65 citations
  3. MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetFuwen Luo et al.2026 · 1 citation

 Co-authors here

12 of 14 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 389 times (of the 141,840 papers whose bibliographies we read); 52 citing papers with a page here →.

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