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QoNext framework enhances foundation model evaluation beyond correctness

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced QoNext, a novel framework designed to evaluate the Quality of Experience (QoE) for foundation models, moving beyond traditional correctness metrics. This framework adapts principles from networking and multimedia to holistically assess human-AI interaction, considering factors like generation velocity and latency. By collecting human ratings in simulated scenarios, QoNext constructs a database and trains a predictive model to estimate user satisfaction based on measurable system parameters. AI

IMPACT This framework could lead to more nuanced evaluations of LLMs, prioritizing user experience alongside accuracy.

RANK_REASON The cluster contains a research paper detailing a new framework for evaluating foundation models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

QoNext framework enhances foundation model evaluation beyond correctness

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The cluster contains a research paper detailing a new framework for evaluating foundation models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yijin Guo, Farong Wen, Ye Shen, Junying Wang, Qi Jia, Xiaohong Liu, Zicheng Zhang, Guangtao Zhai ·

    QoNext: Towards Next-generation QoE for Foundation Models

    arXiv:2509.21889v3 Announce Type: replace Abstract: Existing evaluations of foundation models predominantly focus on output correctness, treating interaction as a static exchange of information. However, such perspectives overlook the essence of the LLM-driven conversational expe…

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