磨损 发表于 2025-3-21 17:02:05

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aplomb 发表于 2025-3-21 23:56:24

Verilog: Frequently Asked Questionsyed vocal assistant with different distributional properties. We show that the predictor can highlight challenging utterances and explain the main complexity factors even though this corpus was collected in a completely different setting.

ICLE 发表于 2025-3-22 00:48:54

Patrizia Bagnarelli,Massimo Clementiiments with dialogue acts for video games show that with 10-shot prompting, both models learn to control dialogue acts, but Athena-Jurassic has significantly higher coherence and only 4% untrue hallucinations. Our results suggest that Athena-Jurassic produces high enough quality outputs to be useful

Common-Migraine 发表于 2025-3-22 06:01:45

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CERE 发表于 2025-3-22 10:31:09

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Foreshadow 发表于 2025-3-22 13:47:54

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Foreshadow 发表于 2025-3-22 19:22:30

Conversational AI for Natural Human-Centric Interaction12th International W

initiate 发表于 2025-3-22 21:26:03

Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modelingarchical model that learns the intent and domain representations in the higher and lower layers respectively. Experiments show that the model outperforms existing methods in terms of accuracy, out-of-scope recall, and .. Additionally, threshold-based post-processing further improves performance by b

DAMN 发表于 2025-3-23 04:58:01

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雪上轻舟飞过 发表于 2025-3-23 09:30:19

Jurassic is (Almost) All You Need: Few-Shot Meaning-to-Text Generation for Open-Domain Dialogueiments with dialogue acts for video games show that with 10-shot prompting, both models learn to control dialogue acts, but Athena-Jurassic has significantly higher coherence and only 4% untrue hallucinations. Our results suggest that Athena-Jurassic produces high enough quality outputs to be useful
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查看完整版本: Titlebook: Conversational AI for Natural Human-Centric Interaction; 12th International W Svetlana Stoyanchev,Stefan Ultes,Haizhou Li Conference procee