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Deploying large language models (LLMs) in edge-cloud environments requires an efficient routing strategy to balance cost and response quality.
Rank analysis of incomplete block designs: I. the method of paired comparisons
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When not to trust language models: Investigating effectiveness and limitations of parametric and non-parametric memories
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Haotong Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023 · 2023
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Apple intelligence foundation language models
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Mars: Meaning-aware response scoring for uncertainty estimation in generative llms
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Chatbot arena: An open platform for evaluating llms by human preference
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael Jordan, Joseph E. Gonzalez, and Ion Stoica. 2024 · 2024
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Lingjiao Chen, Matei A. Zaharia, and James Y. Zou. 2023 · 2023
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Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation
Lorenz Kuhn, Yarin Gal, and Sebastian Farquhar. 2023 · 2023
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Routellm: Learning to route llms with preference data
Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, Mohammed Waleed Kadous, and Ion Stoica. 2024 · 2024
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Tensoropera router: A multi-model router for efficient llm inference
Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Shah, Han Jin, Yuhang Yao, Salman Avestimehr, and Chaoyang He. 2024 · 2024
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