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researcher

Kai Xie

4 papers hereh-index 211 citations5 works total

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

author position
  • middle author3

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

fields
  • cs.AI1
  • cs.CL1
  • cs.LG1
  • cs.SD1
same name
  • Kai Xie — 6 papers, h 8
  • Kai Xie — 2 papers, h 3
  • Kai Xie — 2 papers, h 3
  • Kai Xie — 2 papers, h 0
  • Kai Xie — 1 paper
  • Kai Xie — 1 paper, 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

most citedAcademicGPT: Empowering Academic Research

4 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility

Yansen Zhang, Yilu Liu, Tianyu Liu +7

Large language models increasingly support scientific and algorithmic discovery through inference-time search over evaluated candidates. Existing adaptive discovery controllers ass…

cs.AI2026★ 1 cited

Mozi: Governed Autonomy for Drug Discovery LLM Agents

He Cao, Siyu Liu, Fan Zhang +7

Tool-augmented large language model (LLM) agents promise to unify scientific reasoning with computation, yet their deployment in high-stakes domains like drug discovery is bottlene…

cs.SD2026

LEMAS: Large A 150K-Hour Large-scale Extensible Multilingual Audio Suite with Generative Speech Models

Zhiyuan Zhao, Lijian Lin, Ye Zhu +3

We present the LEMAS-Dataset, which, to our knowledge, is currently the largest open-source multilingual speech corpus with word-level timestamps. Covering over 150,000 hours acros…

cs.CL2023★ 4 cited

AcademicGPT: Empowering Academic Research

Shufa Wei, Xiaolong Xu, Xianbiao Qi +21

Large Language Models (LLMs) have demonstrated exceptional capabilities across various natural language processing tasks. Yet, many of these advanced LLMs are tailored for broad, g…

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