Jingwei Wu

Reward shaping can be the difference between success and failure in optimizing job search queries, with a simple rule-based adjustment yielding a 2.4x performance boost.

Mean-initializing new tokens in LMs creates a degenerate embedding space that cripples fine-tuning, but a simple "grounding" step can unlock significant performance gains in generative recommendation.