Tiegang Gao — accepted AI-conference papers

2026

RAG4DMC: Retrieval-Augmented Generation for Data-Level Modality Completion

Ningxin He, Yongheng Deng, Sheng Yue, Yongjian Fu, Zhangzehui, Tiegang Gao

ICLR 2026poster

Multi-modal datasets are critical for a wide range of applications, but in practice, they often suffer from missing modalities. This motivates the task of Missing Modality Completion (MMC), which aims to reconstruct missing modalities from the available ones to fully exploit multi-modal data. While…

Cited by 0 Source ↗Scholar ↗

2021

Multi-Label Few-Shot Learning for Aspect Category Detection

Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao +2

ACL 2021long

Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence. In this paper, we formulate ACD in the few-shot learning scenario. However, existing few-shot learning approaches mainly focus on single-label predictions. These methods can not work…

Cited by 52 Source ↗PDF ↗Scholar ↗