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Lin Zhao

Lin Zhao has 4 papers in our library, in 2007–2026, most of them on Language models & pretraining, Efficient models & compression, English; often with Zhengliang Liu, Zihao Wu, Chen Liu.

4 papers in our library · 2007–2026

OpenAlex · ORCID · h-index 29 · 355 works · 4,175 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 123 times in our library · ⭐ Paper Stars ranking: #2439

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. 103 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

2000s

 Papers

The most cited first (OpenAlex and our library).

  1. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models (2023 · 940 citations)
    This survey maps early research on ChatGPT (GPT-3.5 and GPT-4). It asks where these models are being applied, how well they perform, and what holds them back. The authors gathered the 194 arXiv papers that mentioned ChatGPT as of April 1st, 2023. They analysed this set through submission trends over time, a word…
  2. Revolutionizing Finance with LLMs: An Overview of Applications and Insights (2024 · 63 citations)
    This survey examines how large language models can be applied to finance, a field where data is highly specialized and errors are costly.
  3. HIT: Web based Scoring Method for English Lexical Substitution (2007 · 20 citations)
    The paper presents HIT, a system for the SemEval-2007 English Lexical Substitution task. Given a target word in a sentence, the system must propose words that could replace it in that context. HIT works in two stages. First, it gathers candidates from WordNet. It takes synonyms from every synset of the given POS…
  4. Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation (2026 · 3 citations)
    The paper argues that LoRA has two weaknesses. First, it spends its small rank budget equally on every low-rank direction, even though many directions carry noise; the authors call this semantic drift. Second, it tunes each layer in isolation, so updates in neighbouring layers can point in unrelated directions; they…

 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 123 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

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