--- title: "Tiansheng Huang — author profile and papers in our library" description: "Tiansheng Huang, Georgia Institute of Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/tiansheng-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tiansheng-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tiansheng Huang # Tiansheng Huang Tiansheng Huang 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Baolei Zhang](https://md.research.elamur.ai/free/en/authors/baolei-zhang/), [Biao Yi](https://md.research.elamur.ai/free/en/authors/biao-yi/), [Li Shen](https://md.research.elamur.ai/free/en/authors/li-shen/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5130348365) · [**h-index 0**](https://openalex.org/authors/A5130348365) · [1 works](https://openalex.org/works?filter=author.id:A5130348365) · [0 citations](https://openalex.org/works?filter=author.id:A5130348365&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tiansheng-huang/#papers) · 🔗 Cited 3 times in our library · [⭐ Paper Stars ranking: #10770](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10770) 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=Tiansheng+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tiansheng+Huang) · [dblp](https://dblp.org/search?q=Tiansheng+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Tiansheng+Huang) ## Affiliations [🎓**Georgia Institute of Technology** Atlanta · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) 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).[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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 2 works](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/tiansheng-huang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning](https://md.research.elamur.ai/free/en/papers/yi-2026-ctrap-embedding-collapse-trap-safeguard/)** *(2026 · 3 citations)* Providers offering fine-tuning as a service face a known risk: a user can upload harmful data and erase a model's safety alignment. 2. **[H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs](https://md.research.elamur.ai/free/en/papers/tekin-2026-h3fusion-helpful-harmless-honest-fusion/)** *(2026 · 1 citation)* Aligning an LLM to be helpful, harmless and honest (HHH) at once is difficult. Tuning for one property often hurts another: safety tuning can make a model overly cautious, and pushing helpfulness can increase hallucinations. H3Fusion addresses this by merging three separately aligned copies of one base model into a… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Baolei Zhang](https://md.research.elamur.ai/free/en/authors/baolei-zhang/) - [Biao Yi](https://md.research.elamur.ai/free/en/authors/biao-yi/) - [Li Shen](https://md.research.elamur.ai/free/en/authors/li-shen/) - [Ling Liu](https://md.research.elamur.ai/free/en/authors/ling-liu/) - [Tong Li](https://md.research.elamur.ai/free/en/authors/tong-li/) - [Zheli Liu](https://md.research.elamur.ai/free/en/authors/zheli-liu/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read). Updated 31 October 2026