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cs.CL2024★ 3 cited
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
Chenxi Wang, Xiang Chen, Ningyu Zhang +4
Multimodal Large Language Models (MLLMs) frequently exhibit hallucination phenomena, but the underlying reasons remain poorly understood. In this paper, we present an empirical ana…
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…