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

Name: DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
Uploaded: 2026-10-16T15:37:13.767796+00:00
Duration: 111 s
Description: The method DRE combines Small Language Models (SLMs) and Large Language Models (LLMs) using a dual-refinement loop to improve open-domain dialogue evaluation. It first uses SLM insights to guide the LLM, then refines the LLM's scores with SLM adjustments. This integration yields more reliable evaluations that better align with human judgment across various benchmarks.

The method DRE combines Small Language Models (SLMs) and Large Language Models (LLMs) using a dual-refinement loop to improve open-domain dialogue evaluation. It first uses SLM insights to guide the LLM, then refines the LLM's scores with SLM adjustments. This integration yields more reliable evaluations that better align with human judgment across various benchmarks.

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