◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jesse Ponnock

5 papers hereh-index 112 citations5 works total

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

author position
  • sole author3
  • first author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • cs.CV1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026

Reinforcement Learning in Super Mario Bros: Curriculum, Pedagogy, and Optimal Level Design in World 1-1

Jesse Ponnock, Lucas Ho

World 1-1 of Super Mario Bros is widely celebrated as a masterclass in game design: its progressive structure is credited with teaching players core mechanics through the level its…

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.