Scholar
Harkirat Behl
Google Scholar ID: R7k23-0AAAAJ
Microsoft Research
Deep Learning
Synthetic Data
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Citations & Impact
All-time
Citations
4,827
H-index
16
i10-index
18
Publications
20
Co-authors
63
list available
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Publications
2 items
AI Scientist via Synthetic Task Scaling
2026
Cited
0
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
2025
Cited
0
Resume
Academic Achievements
- Phi-4 technical report, 2024, arXiv
- Phi-3: A Highly Capable Language Model Locally on Your Phone, 2024, arXiv
- Peekaboo: Interactive Video Generation via Masked-Diffusion, CVPR 2024
- Scaling the Convex Barrier with Sparse Dual Solvers, JMLR 2024
Research Experience
- Member of Technical Staff at Microsoft Research
- Involved in projects such as the Phi-4 technical report and the Phi-3 series of models
Education
- PhD, University of Oxford, 2021, Advisors: Philip Torr, M. Pawan Kumar
- BTech, Indian Institute of Technology, Kanpur, 2018
Background
Member of Technical Staff at Microsoft Research, with research interests in artificial intelligence and language models.
Co-authors
14 total
Philip Torr
Professor, University of Oxford
Caio César Teodoro Mendes
Universidade de São Paulo
Sebastien Bubeck
OpenAI
Suriya Gunasekar
MSR Redmond
Vibhav Vineet
Microsoft Research
Yin Tat Lee
Paul G. Allen School of Computer Science & Engineering, University of Washington
Marah Abdin
Microsoft Research
Sivakanth Gopi
Microsoft Research