Hanlin Gu

Hanlin Gu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Kai Chen, Qiang Yang, Tao Fan.

2 papers in our library · 2025–2026

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).

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models (2025 · 10 citations)
Federated work on LLMs has mostly followed two separate tracks. In one, clients jointly fine-tune identical LLMs. In the other, a server-side LLM teaches small language models (SLMs) on clients. Neither improves the server LLM and the client SLMs together. FedMKT, a parameter-efficient framework, makes knowledge flow…
LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape Elevation (2026)
Offsite Tuning (OT) lets a data owner adapt a proprietary LLM without either side sharing its assets. The model owner sends a reduced "emulator", the data owner trains an adapter on private data, and the adapter is plugged back into the original model. The authors point out a gap: emulators built by OT, CRaSh or…

4 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 6 times (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026