Tiansheng Huang

Tiansheng Huang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Baolei Zhang, Biao Yi, Li Shen.

2 papers in our library · 2026

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning (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.
H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs (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…

6 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read).

Updated 31 October 2026