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cs.CL2026
Risk-aware Selective Prompting for Hallucination Mitigation in Large Vision-Language Models
Yuang Huang, Yafeng Zhang, Yu Zilan
Prompt-based verification is widely used to mitigate hallucinations in large vision-language models (LVLMs), yet when it helps remains poorly understood. We systematically study ve…
cs.CL2024
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
Yafeng Zhang, Zilan Yu, Yuang Huang +1
Few-shot Named Entity Recognition (NER), the task of identifying named entities with only a limited amount of labeled data, has gained increasing significance in natural language p…