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Microsoft Research (United Kingdom)

United Kingdom

1k papers here21.7k citations across 1k
fields
  • cs.LG192
  • cs.CL182
  • cs.CV120
  • cs.IR35
  • cs.CR33
  • cs.HC31
  • cs.SE31
  • cs.AI29
ROR 05k87vq12OpenAlex

affiliations via OpenAlex

output
20022026
most citedPublicly Available Clinical BERT Embeddings

732 citations

researchers with a paper here
  • Jianfeng Gao2 profiles24 · h 98
  • Tie-Yan Liu20 · h 92
  • Tao Qin16 · h 78
  • Bhaskar Mitra13 · h 36
  • Daxin Jiang13 · h 48
  • Abhishek Gupta2 profiles12 · h 57
  • Wei Chen3 profiles12 · h 17
  • Weizhu Chen12 · h 62
  • Nan Duan11 · h 67
  • Xu Tan11 · h 44
  • Zhe Gan11 · h 74
  • Furu Wei10 · h 105
collaborating institutions
  • Microsoft (United States)US99 papers
  • Carnegie Mellon UniversityUS41 papers
  • Massachusetts Institute of TechnologyUS41 papers
  • University of WashingtonUS39 papers
  • Stanford UniversityUS32 papers
  • University of CambridgeGB31 papers
  • University of Science and Technology of ChinaCN31 papers
  • Peking UniversityCN28 papers
  • University of California, BerkeleyUS28 papers
  • Tsinghua UniversityCN24 papers
  • University College LondonGB24 papers
  • Microsoft Research Asia (China)CN19 papers
Showing 2026 · cs.LGShow all

1 paper · 2 filters

cs.LG2026

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production

Renjini R. Nair, Damian K. Kowalczyk, Marco Gaudesi +1

Many applications today use large language models for code generation; however, production systems have strict latency requirements that can be difficult to meet with large models.…

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