Long-term conversational agents must answer user queries by recalling information from extended dialogue histories, yet directly using the full history is costly and often unreliable, while compressed memory units may lose fine-grained evidence needed for question answering. Motivated by the reconstructive view of auto...
Chang-Jian Wang, Rong-Zhen Li, Wei-Li Guan et al.· 0 citations
A few-shot, high-quality semantic annotation paradigm is effective for building trustworthy, explainable, and cost-efficient UFAD systems, and validating the robustness of semantic anchoring compared to models trained on massive short-text data.
Xiao-Yong Yu, Rong-Zhen Li, Shu-Ming Shi et al.· 0 citations
Taxonomies of the LLM hallucination phenomena and evaluation benchmarks are presented, existing approaches aiming at mitigating LLM hallucination are analyzed, and potential directions for future research are discussed.
Yue Zhang, Yafu Li, Leyang Cui et al.· 0 citations
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