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Mingshan Chang

2 accepted papers

2025

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning

NAACL 2025findings

Remarkable progress on large language models (LLMs), particularly in English, has facilitated impressive capabilities in following human instructions. However, there remains a noticeable gap in instruction fine-tuning for Chinese, where the complex linguistic features pose significant challenges. Ex…

2024

Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis

AAAI 2024technical

Despite having achieved notable success for aspect-based sentiment analysis (ABSA), deep neural networks are susceptible to spurious correlations between input features and output labels, leading to poor robustness. In this paper, we propose a novel Counterfactual-Enhanced Information Bottleneck fra…