磨损 发表于 2025-3-21 17:02:05
书目名称Conversational AI for Natural Human-Centric Interaction影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0237781<br><br> <br><br>书目名称Conversational AI for Natural Human-Centric Interaction读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0237781<br><br> <br><br>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 usefulCommon-Migraine 发表于 2025-3-22 06:01:45
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Conversational AI for Natural Human-Centric Interaction12th International Winitiate 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 bDAMN 发表于 2025-3-23 04:58:01
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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