3 citations · 3 across the 9 of their papers we have counts for
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cs.AI2024★ 3 cited
IoT-LLM: a framework for enhancing Large Language Model reasoning from real-world sensor data
Tuo An, Yunjiao Zhou, Han Zou +1
Large Language Models excel in textual tasks but often struggle with physical-world reasoning tasks. Inspired by human cognition, where perception is fundamental to reasoning, we e…
cs.CL2024
EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
Shangyu Xing, Fei Zhao, Zhen Wu +5
Multimodal large language models (MLLMs) have attracted increasing attention in the past few years, but they may still generate descriptions that include objects not present in the…