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20242026
most citedA Comprehensive Survey of Machine Unlearning Techniques for Large Language Models

1 citations · 1 across the 7 of their papers we have counts for

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cs.CL2024

Reference-free Hallucination Detection for Large Vision-Language Models

Qing Li, Jiahui Geng, Chenyang Lyu +3

Large vision-language models (LVLMs) have made significant progress in recent years. While LVLMs exhibit excellent ability in language understanding, question answering, and conver…

cs.CL2024

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics

Derui Zhu, Dingfan Chen, Qing Li +4

Despite tremendous advancements in large language models (LLMs) over recent years, a notably urgent challenge for their practical deployment is the phenomenon of hallucination, whe…