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Feng Chen

Microsoft AI

9 papers hereh-index 12559 citations15 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.AI2
  • cs.CL2
affiliations
  • Microsoft AI
  • Stanford University
ORCID 0000-0002-8645-7356
same name
  • Feng Chen — 18 papers, h 5
  • Feng Chen — 16 papers, h 3
  • Feng Chen — 13 papers, h 6
  • Feng Chen — 10 papers, h 24
  • Feng Chen — 9 papers, h 3
  • Feng Chen — 8 papers, h 5

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
20222025
most citedUnmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2025★ 1 cited

NVIDIA Nemotron 3: Efficient and Open Intelligence

NVIDIA, :, Aaron Blakeman +356

We introduce the Nemotron 3 family of models - Nano, Super, and Ultra. These models deliver strong agentic, reasoning, and conversational capabilities. The Nemotron 3 family uses a…

cs.CL2025

Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

NVIDIA, :, Aaron Blakeman +311

We present Nemotron 3 Nano 30B-A3B, a Mixture-of-Experts hybrid Mamba-Transformer language model. Nemotron 3 Nano was pretrained on 25 trillion text tokens, including more than 3 t…

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