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Qingchun Bai

3 accepted papers

2025

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering

CVPR 2025highlight

Multimodal large language models (MLLMs) have garnered widespread attention from researchers due to their remarkable understanding and generation capabilities in visual language tasks (e.g., visual question answering). However, the rapid pace of knowledge updates in the real world makes offline trai…

Cited by 2SourcePDFScholar
2024

Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models

COLING 2024main

Aspect-Based Sentiment Analysis (ABSA) stands as a crucial task in predicting the sentiment polarity associated with identified aspects within text. However, a notable challenge in ABSA lies in precisely determining the aspects’ boundaries (start and end indices), especially for long ones, due to us…

2022

Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification

ICASSP 2022accepted

Zero-shot text classification (ZSTC) poses a big challenge due to the lack of labeled data for unseen classes during training. Most studies focus on transferring knowledge from seen classes to unseen classes, which have achieved good performance in most cases. Whereas, it is difficult to transfer kn…

Cited by 0SourceScholar