From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 101 more institutions on single bylines are not listed.

Topics

Language models & pretraining1 Bias, fairness & safety1 Idioms & multiword expressions1

Works by year

2020s

20251 paper 20201 paper

Papers

The most cited first (OpenAlex and our library).

ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training (2020 · 451 citations)
ProphetNet addresses a weakness of standard autoregressive Seq2Seq training. Teacher forcing only rewards guessing the immediately next token, so models tend to overfit short-range patterns such as bigrams and neglect longer-range coherence. The authors replace this one-step objective with future n-gram prediction…
from Benign import Toxic: Jailbreaking the Language Model via Adversarial Metaphors (2025 · 12 citations)
The paper argues that black-box jailbreaks which try to extract harmful content from an LLM in a single step are becoming easier to detect, because the malicious intent stays visible in the prompt.

Co-authors here

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

Cited by

Papers of our library cite their works 84 times (of the 140,884 papers whose bibliographies we read); 2 citing papers with a page here →.

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

🧑‍🔬 Yu Yan

Affiliations