Jinpeng Wang

Spatial awareness is the secret ingredient to unlocking better visual in-context learning, boosting performance across diverse vision tasks.

Achieve state-of-the-art long-horizon video understanding by compressing multimodal memories into high-level semantic schemas, enabling efficient reasoning without losing crucial details.

Context-augmented RL lets smaller MLLMs punch *way* above their weight, rivaling much larger models on reasoning tasks while dodging reward hacking.

Task-oriented dialogue agents can now learn to balance user satisfaction and operational costs, thanks to a new RL framework that optimizes for both.

LLMs learn to recommend better by looking inside themselves, using intermediate layer activations to generate harder negatives on the fly.