3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Accelerating Scientific Discovery with Autonomous Goal-evolving Agents
Yuanqi Du, Botao Yu, Tianyu Liu +25
There has been unprecedented interest in developing agents that expand the boundary of scientific discovery, primarily by optimizing quantitative objective functions specified by s…
cs.AI2025★ 3 cited
Evaluating Large Language Models in Scientific Discovery
Zhangde Song, Jieyu Lu, Yuanqi Du +53
Large language models (LLMs) are increasingly applied to scientific research, yet prevailing science benchmarks probe decontextualized knowledge and overlook the iterative reasonin…
physics.chem-ph2024★ 1 cited
Generative Design of Functional Metal Complexes Utilizing the Internal Knowledge of Large Language Models
Jieyu Lu, Zhangde Song, Qiyuan Zhao +4
Designing functional transition metal complexes (TMCs) faces challenges due to the vast search space of metals and ligands, requiring efficient optimization strategies. Traditional…