A multi-grained reward framework fine-tunes an LLM with PPO to generate whole-page recommendations, showing that page-level and item-level reward heads are complementary.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models
A multi-grained reward framework fine-tunes an LLM with PPO to generate whole-page recommendations, showing that page-level and item-level reward heads are complementary.