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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEnglish · 1 workEfficient models & compression · 1 work
Works by year
2020s
2000s
Papers
- 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… - 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. - 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… - 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
- Zhengliang Liu ×2
- Zihao Wu ×2
- Chen Liu
- Hao He
- Hao Xu
- Junhao Chen
- Peng Shu
- Sheng Li
- Shiqi Zhao
- Tianyang Wang
- Ting Liu
- Xi Xiao
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- International Workshop on Semantic Evaluations: International Workshop on Semantic Evaluations 2007
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