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researcher

Di Luo

4 papers hereh-index 2129 citations5 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • physics.comp-ph1
  • quant-ph1
same name
  • Di Luo — 8 papers, h 14
  • Di Luo — 7 papers, h 3
  • Di Luo — 6 papers
  • Di Luo — 5 papers, h 4
  • Di Luo — 4 papers, h 5
  • Di Luo — 4 papers, h 3

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 citedSciCode: A Research Coding Benchmark Curated by Scientists

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

collaborators

4 papers

quant-ph2026

Toward General Quantum Control with Physics-Informed Large Language Models

Yusheng Zhao, Han Wang, Xin Liu +10

Quantum control is essential for quantum information science and technology, yet designing high-fidelity control protocols remains challenging due to complex optimization landscape…

physics.comp-ph2026

Towards Verifiable and Self-Correcting AI Physicists for Quantum Many-Body Simulations

Ken Deng, Xiangfei Wang, Guijing Duan +7

While large language models (LLMs) promise to revolutionize automated scientific discovery, their application in rigorous real-world physical research is stalled by two critical ba…

cs.AI2025

Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark

Minhui Zhu, Minyang Tian, Xiaocheng Yang +61

While large language models (LLMs) with reasoning capabilities are progressing rapidly on high-school math competitions and coding, can they reason effectively through complex, ope…

cs.AI2024★ 3 cited

SciCode: A Research Coding Benchmark Curated by Scientists

Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang +27

Since language models (LMs) now outperform average humans on many challenging tasks, it has become increasingly difficult to develop challenging, high-quality, and realistic evalua…

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