The better angels of machine personality: How personality relates to llm safety

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Explainable and interpretable multimodal large language models: A comprehensive survey

Y Dang, K Huang, J Huo, Y Yan, S Huang, D Liu… - ar** Professional Competency Benchmark for Large Language Models
E Kardanova, A Ivanova, K Tarasova… - arxiv preprint arxiv …, 2024 - arxiv.org
The era of large language models (LLM) raises questions not only about how to train
models, but also about how to evaluate them. Despite numerous existing benchmarks …
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FairMindSim: Alignment of Behavior, Emotion, and Belief in Humans and LLM Agents Amid Ethical Dilemmas

Y Lei, H Liu, C **e, S Liu, Z Yin, C Chen, G Li… - arxiv preprint arxiv …, 2024 - arxiv.org
AI alignment is a pivotal issue concerning AI control and safety. It should consider not only
value-neutral human preferences but also moral and ethical considerations. In this study, we …
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Towards AI- Law: A Roadmap to Trustworthy AGI

Y Chao, L Chaochao, W Yingchun, Z Bowen - arxiv preprint arxiv …, 2024 - arxiv.org
Ensuring Artificial General Intelligence (AGI) reliably avoids harmful behaviors is a critical
challenge, especially for systems with high autonomy or in safety-critical domains. Despite …
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