From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

Topics

Language models & pretraining (1) Dialogue systems (1) Low-resource languages (1) Bias, fairness & safety (1) Tokenization & segmentation (1)

Works by year

2020s

20261 paper 20241 paper

Papers

The most cited first (OpenAlex and our library).

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models (2024 · 81 citations)
Large language models translate fairly well without dedicated training, but they still handle low-resource languages poorly, often because they mistranslate rare words.
Toxic Subword Pruning for Dialogue Response Generation on Large Language Models (2026)
Most LLM safety work assumes a well-aligned model that must be protected from harmful prompts. This paper looks at a different case: the model itself is already toxic, for example after careless fine-tuning or tampering by someone with access to the weights. The authors propose ToxPrune, a training-free decoding…

Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

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

Cited by

Papers of our library cite their works 83 times (of the 140,884 papers whose bibliographies we read); 11 citing papers with a page here →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hongyuan-lu/

🧑‍🔬 Hongyuan Lu

🏛️ Affiliations

🧭 Topics

📅 Works by year

2020s

📄 Papers

Also in our library

🤝 Co-authors here

🔗 Cited by

Hongyuan Lu

Affiliations

Topics

Works by year

Papers

Co-authors here

Cited by