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Cheng-Lin Liu

Cheng-Lin Liu has 3 papers in our library, in 2023–2026, most of them on Reasoning, Vision & language, Evaluation & benchmarks; often with Jian Xu, Biao Yang, Bin Yu.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 62 · 535 works · 21,396 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 183 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #5255

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. 49 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models (2023 · 306 citations)
    Large multimodal models (LMMs) can often read text in images without OCR-specific training, but how well they do this had not been measured systematically.
  2. LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating (2025 · 30 citations)
    Evaluation of document understanding has not kept pace with large vision-language models (LVLMs). Standard datasets such as DocVQA cover only single pages and are close to saturated. Multi-page sets like MP-DocVQA and DUDE stay under 20 pages and rarely test how models connect different layout elements.
  3. MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models (2026 · 2 citations)
    Large reasoning models (LRMs) handle multi-step problems well, but extended thinking adds little on fact-based questions.

All works

7 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. TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetWei Feng et al.2019 · 227 citations
  2. Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiaobing Wang et al.2019 · 211 citations
  3. Data-Distortion Guided Self-Distillation for Deep Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetTing-Bing Xu, Cheng‐Lin Liu2019 · 182 citations
  4. Class-Incremental Learning via Dual Augmentation ↗neural information processing systems · no summary yetFei Zhu et al.2021 · 71 citations

 Co-authors here

12 of 21 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 183 times (of the 149,439 papers whose bibliographies we read); 68 citing papers with a page here →.

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