[Feature] Support for decoding method that reduce Hallucinations

### Motivation

Recently，there are many good paper that try to alleviating hallucinations for large vision-language models **during the decode process**，like：
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation (CVPR 2024 Highlight)（code:https://github.com/shikiw/OPERA）
Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs (ECCV 2024)(code:https://github.com/LALBJ/PAI)
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models (code:https://github.com/huofushuo/SID)
All these method and code were implemented during inference process.
Is it possible to integrate one or more these method into InternVL2.0 series model decode in lmdeploy?
Thank you!

### Related resources

OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation (CVPR 2024 Highlight)（code:https://github.com/shikiw/OPERA）
Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs (ECCV 2024)(code:https://github.com/LALBJ/PAI)
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models (code:https://github.com/huofushuo/SID)

### Additional context

_No response_