--- title: "Yong Lin — author profile and papers — Elamur Research" description: "Yong Lin, Hong Kong University of Science and Technology: 2 papers on Elamur Research (2024), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/yong-lin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yong-lin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yong Lin # Yong Lin Yong Lin has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Haoxiang Wang](https://md.research.elamur.ai/free/en/authors/haoxiang-wang/), [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/), [Wei Xiong](https://md.research.elamur.ai/free/en/authors/wei-xiong/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5101314372) · [**h-index 1**](https://openalex.org/authors/A5101314372) · [3 works](https://openalex.org/works?filter=author.id:A5101314372) · [7 citations](https://openalex.org/works?filter=author.id:A5101314372&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yong-lin/#papers) · [🔗 Cited 113 times in our library](https://md.research.elamur.ai/free/en/authors/yong-lin/cited-by/) · [⭐ Paper Stars ranking: #4868](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4868) 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=Yong+Lin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yong+Lin) · [dblp](https://dblp.org/search?q=Yong+Lin) · [ACL Anthology](https://aclanthology.org/search/?q=Yong+Lin) ## Affiliations [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2024 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 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 [**2024** 2 papers Yong Lin's papers of 2024](https://md.research.elamur.ai/free/en/authors/yong-lin/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Mitigating the Alignment Tax of RLHF](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/)** *(2024 · 82 citations)* RLHF makes LLMs follow human preferences, but it also tends to erode skills learned in pre-training. This loss is called the alignment tax. The authors measured it by aligning OpenLLaMA-3B on the Anthropic helpfulness/harmlessness data with Rejection Sampling Fine-tuning (RSF) and DPO. They then tracked performance… 2. **[Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards](https://md.research.elamur.ai/free/en/papers/wang-2024-arithmetic-control-llms-diverse-user/)** *(2024 · 66 citations)* Standard RLHF compresses human judgments into one scalar reward. This pushes a model toward an "average user" and ignores people whose tastes conflict, such as those who want useful but short answers. The authors propose Directional Preference Alignment (DPA) to address this. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Haoxiang Wang](https://md.research.elamur.ai/free/en/authors/haoxiang-wang/) ×2 - [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) ×2 - [Wei Xiong](https://md.research.elamur.ai/free/en/authors/wei-xiong/) ×2 - [Han Zhao](https://md.research.elamur.ai/free/en/authors/han-zhao/) - [Hangyu Lin](https://md.research.elamur.ai/free/en/authors/hangyu-lin/) - [Hanze Dong](https://md.research.elamur.ai/free/en/authors/hanze-dong/) - [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/) - [Rui Pan](https://md.research.elamur.ai/free/en/authors/rui-pan/) - [Rui Yang](https://md.research.elamur.ai/free/en/authors/rui-yang/) - [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/) ## 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/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 113 times (of the 141,840 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yong-lin/cited-by/). Updated 24 October 2026