5 papers
COMO: Closed-Loop Optical Molecule Recognition with Minimum Risk Training
Zhuoqi Lyu, Qing Ke
Optical chemical structure recognition (OCSR) translates molecular images into machine-readable representations like SMILES strings or molecular graphs, but remains challenging in…
Not too long do read: Evaluating LLM-generated extreme scientific summaries
Zhuoqi Lyu, Qing Ke
High-quality scientific extreme summary (TLDR) facilitates effective science communication. How do large language models (LLMs) perform in generating them? How are LLM-generated su…
Periodical embeddings uncover hidden interdisciplinary patterns in the subject classification scheme of science
Zhuoqi Lyu, Qing Ke
Subject classification schemes are foundational to the organization, evaluation, and navigation of scientific knowledge. While expert-curated systems like Scopus provide widely use…
Towards understanding evolution of science through language model series
Junjie Dong, Zhuoqi Lyu, Qing Ke
We introduce AnnualBERT, a series of language models designed specifically to capture the temporal evolution of scientific text. Deviating from the prevailing paradigms of subword…
Mapping the changing structure of science through diachronic periodical embeddings
Zhuoqi Lyu, Qing Ke
Understanding the changing structure of science over time is essential to elucidating how science evolves. We develop diachronic embeddings of scholarly periodicals to quantify "se…