Systematic evaluation of 41 open-weight language models for zero-shot intent classification across eight datasets (135M–9B parameters) and 15 model families
Read the original at arxiv.org→arXiv:2607.27421v1 Announce Type: new Abstract: Intent classification is a core component of task-oriented dialogue systems, yet practitioners have limited systematic guidance for selecting deployable open-weight...
Original headline: "Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models"
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- Jul 31, 04:00 UTC arXiv cs.CL lead source Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models