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researcher

Pulkit Agrawal

4 papers hereh-index 394 citations10 works total

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • cs.RO1
  • cs.SE1
same name
  • Pulkit Agrawal — 12 papers, h 18
  • Pulkit Agrawal — 12 papers, h 7
  • Pulkit Agrawal — 4 papers, h 3
  • Pulkit Agrawal — 2 papers, h 2
  • Pulkit Agrawal — 2 papers, h 2
  • Pulkit Agrawal — 2 papers, h 2

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 citedApple Intelligence Foundation Language Models

4 citations · 4 across the 1 of their papers we have counts for

collaborators

4 papers

cs.AI2026★ 4 cited

Apple Intelligence Foundation Language Models

Tom Gunter, Zirui Wang, Chong Wang +152

We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large serv…

cs.RO2026

Agile asymmetric multi-legged locomotion: contact planning via geometric mechanics and spin model duality

Jackson Habala, Gabriel B. Margolis, Tianyu Wang +8

Legged robot research is presently focused on bipedal or quadrupedal robots, despite capabilities to build robots with many more legs to potentially improve locomotion performance.…

cs.SE2026

SpecMap: Hierarchical LLM Agent for Datasheet-to-Code Traceability Link Recovery in Systems Engineering

Vedant Nipane, Pulkit Agrawal, Amit Singh

Establishing precise traceability between embedded systems datasheets and their corresponding code implementations remains a fundamental challenge in systems engineering, particula…

cs.LG2025

Apple Intelligence Foundation Language Models: Tech Report 2025

Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395

We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and services: i a 3B-parameter on-device model opti…

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