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Lin Liu

Lin Liu has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Yang Liu, Zhenzhong Lan.

2 papers in our library · 2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #12099

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

🎓Adelaide UniversityAdelaide · Australia2026 · 1 papercurrent🎓The University of AdelaideAdelaide · Australia2026 · 1 papercurrent

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

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workHardware and Architecture · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit (2026)
    Diffusion large language models (dLLMs) generate text by repeatedly denoising a masked sequence, but inference is slow.
  2. Trustworthy and Explainable Causal Representation Learning in Transformers (2026)
    Explanations for Transformers are often built by learning an importance mask over input features and applying it to the input representation.

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. CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace CreditAnnual Meeting of the Association for Computational Linguistics (ACL)Kangyu Wang, Zhiyun Jiang, Haibo Feng, et al.2026
  2. Trustworthy and Explainable Causal Representation Learning in TransformersFindings of the Association for Computational LinguisticsYang Liu, Yinghao Zhang, Lin Liu, et al.2026
  3. A Novel Matching Paradigm: Unified Generative and Discriminative LLM with Prompt Compression for Relevance Learning ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) · no summary yetGuoliang Zhao et al.2026

 Co-authors here

2 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.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/lin-liu/