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cs.CL2024★ 145 cited
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team, Morgane Riviere, Shreya Pathak +195
In this work, we introduce Gemma 2, a new addition to the Gemma family of lightweight, state-of-the-art open models, ranging in scale from 2 billion to 27 billion parameters. In th…
cs.CY2024★ 2 cited
LLMs generate structurally realistic social networks but overestimate political homophily
Serina Chang, Alicja Chaszczewicz, Emma Wang +3
Generating social networks is essential for many applications, such as epidemic modeling and social simulations. The emergence of generative AI, especially large language models (L…