计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-19
1. What makes your model a low-empathy or warmth person: Exploring theOrigins of Personality in LLMs Authors: Shu Yang, Shenzhe Zhu, Ruoxuan Bao, Liang Liu, Yu Cheng, Lijie Hu, Mengdi Li, Di Wang...

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-18
1. On the Reliability of Large Language Models to Misinformed and Demographically-Informed PromptsAuthors: Toluwani Aremu, Oluwakemi Akinwehinmi, Chukwuemeka Nwagu, SyedIshtiaque Ahmed, Rita Orji, Pe....

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-17
1. WILT: A Multi-Turn, Memorization-Robust Inductive Logic Benchmark for LLMs Authors: Eryk Banatt, Jonathan Cheng, Skanda Vaidyanath, Tiffany Hwu https://arxiv.org/abs/2410.10998 摘要: ...

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-08
1. GraphRouter: A Graph-based Router for LLM Selections Authors: Tao Feng, Yanzhen Shen, Jiaxuan You https://arxiv.org/abs/2410.03834 代码:ttps://github.com/ulab-uiuc/GraphRouter. Graph...

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-07(下)
计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-07(上)+https://developer.aliyun.com/article/1628943 摘要 最近探索了各种音频大型语言模型(ALLMs),这些模型使用单一的、统一的模型同时处理不同的音频任务。尽管现有的ALLMs评估主要集中在单一音频任务上,但现实世界的应用通常涉及同时处理多个音频流。为了弥补...

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-07(上)
1. Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review E Croxford, Y Gao, N Pellegrino, KK Wong, G Wills… - arXiv preprint arXiv …, 2024 http...

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-06
1. A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization Authors: Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk and Jiliang Tang ...

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-05(下)
计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-05(上)+https://developer.aliyun.com/article/1628937 问题与挑战 尽管LLMs在许多应用中得到扩展,但它们在处理信息时存在某些盲点,显著影响其性能。尤其是这些模型如何在上下文中处理信息并检索相关数据以解决手头任务,这仍然是一个研究的活跃领域。 ...

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-05(上)
1. LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition Authors: Alireza Kheirandish, Duo Xu, Faramarz Fekri https://arxiv.org/abs/2410.01929 增强符号强化学习与基于地标...

计算机前沿技术-人工智能算法-大语言模型-最新研究进展-2024-10-04
1. A Multiple-Fill-in-the-Blank Exam Approach for Enhancing Zero-Resource Hallucination Detection in Large Language Models Authors: Satoshi Munakata, Taku Fukui and Takao Mohri https://arxiv....

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