activity
20242026
most citedTowards Agentic Intelligence for Materials Science

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Input-Conditioned Search for Efficient Test-Time Scaling of Recursive Reasoners

Haochen Shi, Tianwen Fu, Qianggang Ding +7

People often tackle difficult problems by thinking more deeply or exploring more possibilities. Similarly, recursive reasoners, which reason by repeatedly applying a learned update…

cond-mat.mtrl-sci2026★ 1 cited

Towards Agentic Intelligence for Materials Science

Huan Zhang, Yizhan Li, Wenhao Huang +18

The convergence of artificial intelligence and materials science presents a transformative opportunity, but achieving true acceleration in discovery requires moving beyond task-iso…

cs.AI2026

M^4olGen: Multi-Agent, Multi-Stage Molecular Generation under Precise Multi-Property Constraints

Yizhan Li, Florence Cloutier, Sifan Wu +5

Generating molecules that satisfy precise numeric constraints over multiple physicochemical properties is critical and challenging. Although large language models (LLMs) are expres…

cs.CE2025

Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science

Sifan Wu, Huan Zhang, Yizhan Li +3

The emergence of Multimodal Large Language Models (MLLMs) that integrate vision and language modalities has unlocked new potentials for scientific reasoning, outperforming prior be…

cs.CL2024★ 1 cited

Improving Clinical Note Generation from Complex Doctor-Patient Conversation

Yizhan Li, Sifan Wu, Christopher Smith +2

Writing clinical notes and documenting medical exams is a critical task for healthcare professionals, serving as a vital component of patient care documentation. However, manually…