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researcher

Jesse Ponnock

3 papers here

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

author position
  • sole author2
  • first author1

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

fields
  • cs.AI1
  • cs.IR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.LG2025

The Data Efficiency Frontier of Financial Foundation Models: Scaling Laws from Continued Pretraining

Jesse Ponnock

Domain-adaptive pretraining (DAPT) offers a practical path to specializing large language models for high-value domains without full retraining. We conduct an early-stage scaling-l…

cs.IR2025

Real-Time RAG for the Identification of Supply Chain Vulnerabilities

Jesse Ponnock, Grace Kenneally, Michael Robert Briggs +5

New technologies in generative AI can enable deeper analysis into our nation's supply chains but truly informative insights require the continual updating and aggregation of massiv…

cs.AI2025

Generative AI for Strategic Plan Development

Jesse Ponnock

Given recent breakthroughs in Generative Artificial Intelligence (GAI) and Large Language Models (LLMs), more and more professional services are being augmented through Artificial…

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