most citedMitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 1 cited

Mitigating Multilingual Hallucination in Large Vision-Language Models

Xiaoye Qu, Mingyang Song, Wei Wei +2

While Large Vision-Language Models (LVLMs) have exhibited remarkable capabilities across a wide range of tasks, they suffer from hallucination problems, where models generate plaus…

cs.CL2024★ 2 cited

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models

Zhenyi Lu, Jie Tian, Wei Wei +4

Text classification is a crucial task encountered frequently in practical scenarios, yet it is still under-explored in the era of large language models (LLMs). This study shows tha…