Li Liu

The Platonic brain bridge hypothesis: human brain networks as an architectural prior for omni models

SEmoEdit: Probing and Harnessing the Editability of Pre-trained Speech Flows

SEmoEdit is the first training-free framework that formulates emotion editing as dynamic velocity transport between source and target emotions, enabling robust, flow-based speech emotion editing directly within pretrained TTS models, and is highly effective and broadly applicable.

Listen, Do Not Copy: Internalizing Audio-Grounded Scaffold Context for Robust Omni-Model Speech Understanding

A joint GDPO task in which the model learns when to use a clue and how to produce a speaker-attributed transcript from separately normalized format, gate, and transcript rewards is formulated.

The Platonic brain bridge hypothesis: human brain networks as an architectural prior for multimodal large language models

The Platonic brain bridge hypothesis is proposed: omni models, multimodal large language models that process video, audio and text jointly, converge on brain-like representations usable in both directions, and human brain organization is a usable architectural prior for multimodal large language models.