7 papers
Mitigating Preference Leakage via Strict Estimator Separation for Normative Generative Ranking
Dalia Nahhas, Xiaohao Cai, Imran Razzak +1
In Generative Information Retrieval (GenIR), the bottleneck has shifted from generation to the selection of candidates, particularly for normative criteria such as cultural relevan…
CALM: Culturally Self-Aware Language Models
Lingzhi Shen, Xiaohao Cai, Yunfei Long +3
Cultural awareness in language models is the capacity to understand and adapt to diverse cultural contexts. However, most existing approaches treat culture as static background kno…
HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection
Guanming Chen, Lingzhi Shen, Xiaohao Cai +2
Personality detection from text aims to infer an individual's personality traits based on linguistic patterns. However, existing machine learning approaches often struggle to captu…
EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling
Lingzhi Shen, Xiaohao Cai, Yunfei Long +3
Personality detection from text is commonly performed by analysing users' social media posts. However, existing methods heavily rely on large-scale annotated datasets, making it ch…
Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection
Lingzhi Shen, Yunfei Long, Xiaohao Cai +3
Personality detection automatically identifies an individual's personality from various data sources, such as social media texts. However, as the parameter scale of language models…
LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection
Lingzhi Shen, Yunfei Long, Xiaohao Cai +4
Graph-based personality detection constructs graph structures from textual data, particularly social media posts. Current methods often struggle with sparse or noisy data and rely…