--- title: "Lin Liu · Adelaide University — author profile and papers" description: "Lin Liu, Adelaide University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/lin-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lin-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lin Liu # Lin Liu Lin Liu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/), [Zhenzhong Lan](https://md.research.elamur.ai/free/en/authors/zhenzhong-lan/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139732968) · [**h-index 0**](https://openalex.org/authors/A5139732968) · [2 works](https://openalex.org/works?filter=author.id:A5139732968) · [0 citations](https://openalex.org/works?filter=author.id:A5139732968&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lin-liu/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12099](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12099) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Lin+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lin+Liu) · [dblp](https://dblp.org/search?q=Lin+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Lin+Liu) ## Affiliations [🎓**Adelaide University** Adelaide · Australia 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/adelaide-university/) · [🎓**The University of Adelaide** Adelaide · Australia 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-adelaide/) 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/lin-liu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit](https://md.research.elamur.ai/free/en/papers/wang-2026-creditdecoding-accelerating-parallel-decoding-diffusion/)** *(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](https://md.research.elamur.ai/free/en/papers/liu-2026-trustworthy-explainable-causal-representation-learning/)** *(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 Credit](https://md.research.elamur.ai/free/en/papers/wang-2026-creditdecoding-accelerating-parallel-decoding-diffusion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kangyu Wang, Zhiyun Jiang, Haibo Feng, et al.*2026* 2. **[Trustworthy and Explainable Causal Representation Learning in Transformers](https://md.research.elamur.ai/free/en/papers/liu-2026-trustworthy-explainable-causal-representation-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Liu, Yinghao Zhang, Lin Liu, et al.*2026* 3. **[A Novel Matching Paradigm: Unified Generative and Discriminative LLM with Prompt Compression for Relevance Learning ↗](https://aclanthology.org/2026.acl-industry.122/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) · no summary yet**Guoliang Zhao et al.*2026* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) - [Zhenzhong Lan](https://md.research.elamur.ai/free/en/authors/zhenzhong-lan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 1 November 2026