June 6, 2024, 4:52 a.m. | Xiaoxi Sun, Jinpeng Li, Yan Zhong, Dongyan Zhao, Rui Yan

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.03075v1 Announce Type: new
Abstract: The advent of large language models (LLMs) has facilitated the development of natural language text generation. It also poses unprecedented challenges, with content hallucination emerging as a significant concern. Existing solutions often involve expensive and complex interventions during the training process. Moreover, some approaches emphasize problem disassembly while neglecting the crucial validation process, leading to performance degradation or limited applications. To overcome these limitations, we propose a Markov Chain-based multi-agent debate verification framework to enhance …

abstract agent arxiv challenges cs.cl development framework hallucination language language models large language large language models llms markov multi-agent natural natural language process solutions text text generation training type via

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