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NeurIPS-2024

Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation

Yaoyuan Liang*, Zhuojun Cai*, Xu Jian, Guanbo Huang, Yiran Wang, Xiao Liang, Jiahao Liu, Ziran Li, Jingang Wang, Jingang Wang, Shao-Lun Huang†
This work proposes a training-free framework, named as ``unleash-then-eliminate’’, which first elicits the latent information in the intermediate layers, and then adopts a cycle-consistency-based decoding method to alleviate the production of hallucinations.
NeurIPS 2024-09-25
NeurIPS-2025

A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning

Qingyue Zhang*, Haohao Fu*, Guanbo Huang*, Yaoyuan Liang, Chang Chu, Tianren Peng, Yanru Wu, Qi Li, Yang Li†, Shao-Lun Huang†
This work calculates the optimal training data quantity to sample from various source tasks into target task under transfer learning, based on Fisher Information theory.
NeurIPS 2025-10-29
Preprint
Preprint

ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching

Guanbo Huang*, Jingjia Mao*, Fanding Huang*, Fengkai Liu, Xiangyang Luo, Yaoyuan Liang, Jiasheng Lu, Xiaoe Wang, Pei Liu, Ruiliu Fu†, Shao-Lun Huang†
This work proposes a learning target for Anti-Drift Rectification and a dynamic reweighting loss for Frequency Compensation to alleviate exposure bias.
Preprint 2025-12-04

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Teaching experience 1

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Teaching experience 2

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