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Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
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Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

Taehyeon Kim
Joonkee Kim
Gihun Lee
Se-Young Yun
ArXiv (abs)PDFHTML

Papers citing "Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions"

4 / 4 papers shown
Title
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
Feilong Tang
Chengzhi Liu
Zhongxing Xu
Ming Hu
Zelin Peng
...
Minquan Lin
Yifan Peng
Xuelian Cheng
Imran Razzak
Zongyuan Ge
91
1
0
22 May 2025
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
Xinlong Chen
Yuanxing Zhang
Qiang Liu
Junfei Wu
Fuzheng Zhang
Tieniu Tan
MLLM
155
0
0
17 May 2025
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
Xin Zou
Yizhou Wang
Yibo Yan
Yuanhuiyi Lyu
Kening Zheng
...
Junkai Chen
Peijie Jiang
Qingbin Liu
Chang Tang
Xuming Hu
173
8
0
04 Oct 2024
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Fushuo Huo
Wenchao Xu
Zhong Zhang
Yining Qi
Zhicheng Chen
Peilin Zhao
VLMMLLM
224
31
0
04 Aug 2024

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