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20242026
most citedSLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation

1 citations · 3 across the 9 of their papers we have counts for

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cs.CL2025

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation

Kun Zhao, Bohao Yang, Chen Tang +4

Large Language Models (LLMs) excel at many tasks but struggle with ambiguous scenarios where multiple valid responses exist, often yielding unreliable results. Conversely, Small La…

cs.CL2025

GRAPHMOE: Amplifying Cognitive Depth of Mixture-of-Experts Network via Introducing Self-Rethinking Mechanism

Bo Lv, Chen Tang, Zifan Zheng +8

Traditional Mixture-of-Experts (MoE) networks benefit from utilizing multiple smaller expert models as opposed to a single large network. However, these experts typically operate i…