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Chao Zhang

4 papers hereh-index 4146 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LG1
  • cs.NE1
same name
  • Chao Zhang — 17 papers, h 14
  • Chao Zhang — 13 papers, h 4
  • Chao Zhang — 11 papers, h 1
  • Chao Zhang — 10 papers, h 4
  • Chao Zhang — 10 papers, h 5
  • Chao Zhang — 10 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedLLM-Augmented Chemical Synthesis and Design Decision Programs

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

collaborators

4 papers

cs.LG2026

Towards Diverse Scientific Hypothesis Search with Large Language Models

Haorui Wang, Parshin Shojaee, Kazem Meidani +7

Large language models (LLMs) are on the rise for accelerating scientific discovery, most recently in advanced tasks such as generating valid scientific hypotheses. Yet in many disc…

cs.AI2026★ 2 cited

LLM-Augmented Chemical Synthesis and Design Decision Programs

Haorui Wang, Jeff Guo, Lingkai Kong +4

Retrosynthesis, the process of breaking down a target molecule into simpler precursors through a series of valid reactions, stands at the core of organic chemistry and drug develop…

cs.NE2025

Efficient Evolutionary Search Over Chemical Space with Large Language Models

Haorui Wang, Marta Skreta, Cher-Tian Ser +11

Molecular discovery, when formulated as an optimization problem, presents significant computational challenges because optimization objectives can be non-differentiable. Evolutiona…

cs.AI2024

Aligning Large Language Models with Representation Editing: A Control Perspective

Lingkai Kong, Haorui Wang, Wenhao Mu +7

Aligning large language models (LLMs) with human objectives is crucial for real-world applications. However, fine-tuning LLMs for alignment often suffers from unstable training and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.