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Eva Portelance

2 accepted papers

2025

VinePPO: Refining Credit Assignment in RL Training of LLMs

ICML 2025poster

Large language models (LLMs) are increasingly applied to complex reasoning tasks that require executing several complex steps before receiving any reward. Properly assigning credit to these steps is essential for enhancing model performance. Proximal Policy Optimization (PPO), a common reinforcement…

Cited by 0SourcePDFScholar
2024

Learning Action and Reasoning-Centric Image Editing from Videos and Simulation

NeurIPS 2024spotlight

An image editing model should be able to perform diverse edits, ranging from object replacement, changing attributes or style, to performing actions or movement, which require many forms of reasoning. Current *general* instruction-guided editing models have significant shortcomings with action and r…

Cited by 4SourcePDFScholar