10 citations · 14 across the 9 of their papers we have counts for
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cs.CL2024★ 3 cited
Unified Hallucination Detection for Multimodal Large Language Models
Xiang Chen, Chenxi Wang, Yida Xue +7
Despite significant strides in multimodal tasks, Multimodal Large Language Models (MLLMs) are plagued by the critical issue of hallucination. The reliable detection of such halluci…
cs.CL2024★ 1 cited
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
Yixin Ou, Ningyu Zhang, Honghao Gui +9
In recent years, instruction tuning has gained increasing attention and emerged as a crucial technique to enhance the capabilities of Large Language Models (LLMs). To construct hig…