5 papers · 1 filter
Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data
Zhuowei Chen, Bowei Zhang, Nankai Lin +2
Recent advances in LLMs have enhanced AI capabilities, but also increased the risk posed by malicious requests, highlighting the need for effective LLM safeguards to detect such qu…
OTESGN: Optimal Transport-Enhanced Syntactic-Semantic Graph Networks for Aspect-Based Sentiment Analysis
Xinfeng Liao, Xuanqi Chen, Lianxi Wang +3
Aspect-based sentiment analysis (ABSA) aims to identify aspect terms and determine their sentiment polarity. While dependency trees combined with contextual semantics provide struc…
CLASS: Enhancing Cross-Modal Text-Molecule Retrieval Performance and Training Efficiency
Hongyan Wu, Peijian Zeng, Weixiong Zheng +4
Cross-modal text-molecule retrieval task bridges molecule structures and natural language descriptions. Existing methods predominantly focus on aligning text modality and molecule…
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification
Zhuowei Chen, Lianxi Wang, Yuben Wu +3
Sentiment classification (SC) often suffers from low-resource challenges such as domain-specific contexts, imbalanced label distributions, and few-shot scenarios. The potential of…
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
Hongyan Wu, Zhengming Chen, Zijian Li +4
Hate speech frequently appears on social media platforms and urgently needs to be effectively controlled. Alleviating the bias caused by hate speech can help resolve various ethica…