Daniel Adu-Ampratwum

According to our database, Daniel Adu-Ampratwum authored at least 9 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

tt DiffER: categorical diffusion ensembles for single-step chemical retrosynthesis.

Sean Current, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning, Srinivasan Parthasarathy

J. Cheminformatics, December, 2025

LARC: Towards Human-level Constrained Retrosynthesis Planning through an Agentic Framework.

Frazier N. Baker, Daniel Adu-Ampratwum, Reza Averly, Botao Yu, Huan Sun, Xia Ning

CoRR, August, 2025

DiffER: Categorical Diffusion for Chemical Retrosynthesis.

Sean Current, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning, Srinivasan Parthasarathy

CoRR, May, 2025

Generating 3D Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance.

Ziqi Chen, Bo Peng, Tianhua Zhai, Daniel Adu-Ampratwum, Xia Ning

CoRR, February, 2025

log-RRIM: Yield Prediction via Local-to-Global Reaction Representation Learning and Interaction Modeling.

Xiao Hu, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning

J. Chem. Inf. Model., 2025

Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving.

Botao Yu, Frazier N. Baker, Ziru Chen, Garrett Herb, Boyu Gou, Daniel Adu-Ampratwum, Xia Ning, Huan Sun

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.

Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion.

Frazier N. Baker, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning

J. Chem. Inf. Model., 2024

log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling.

Xiao Hu, Ziqi Chen, Bo Peng, Daniel Adu-Ampratwum, Xia Ning

CoRR, 2024