anniversary
发表于 2025-3-30 08:46:07
Enhancing Large Language Models Through External Domain Knowledgestep the artifact is developed based on requirements deducted from literature. Eventually, the functionality of the artifact is demonstrated as a proof-of-concept in a case study. The research contributes an initial approach for effective and grounded knowledge transfer, which minimizes the risk of hallucination from LLM-generated content.
Foreknowledge
发表于 2025-3-30 14:39:07
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avarice
发表于 2025-3-30 16:54:35
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Onerous
发表于 2025-3-30 21:06:38
You Got the Feeling: Attributing Affective States to Dialogical Social Robotsadoption of a Large Language Model (i.e. chatGPT in our case) whilst the simplest one has been based on a manual simplification of the generated text. We report the obtained results based on the adoption of a number tests and standardized scales and highlight some possibile future directions.
grounded
发表于 2025-3-31 04:53:15
Conference proceedings 2024e in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024...The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submis
擦试不掉
发表于 2025-3-31 07:40:50
https://doi.org/10.1007/978-3-031-60615-1Artificial Intelligence in HCI; Human-Centered Artificial Intelligence; Dialogue systems; Language mode
老巫婆
发表于 2025-3-31 10:40:49
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窗帘等
发表于 2025-3-31 14:28:39
Artificial Intelligence in HCI978-3-031-60615-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
Seizure
发表于 2025-3-31 19:01:36
Parenting Roles and Relationships,s that leverage LLMs: (1) relation extraction via in-context few-shot learning with LLMs, (2) enhancing the sequence-to-sequence (seq2seq)-based full fine-tuned relation extraction by CoT reasoning explanations generated by LLMs, (3) enhancing the classification-based full fine-tuned relation extrac