5 citations · 21 across the 23 of their papers we have counts for
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cs.CL2024★ 1 cited
Large Language Models can Achieve Social Balance
Pedro Cisneros-Velarde
Large Language Models (LLMs) can be deployed in situations where they process positive/negative interactions with other agents. We study how this is done under the sociological fra…
cs.LG2024
Optimization and Generalization Guarantees for Weight Normalization
Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo +1
Weight normalization (WeightNorm) is widely used in practice for the training of deep neural networks and modern deep learning libraries have built-in implementations of it. In thi…
cs.MA2024
On the Principles behind Opinion Dynamics in Multi-Agent Systems of Large Language Models
Pedro Cisneros-Velarde
We study the evolution of opinions inside a population of interacting large language models (LLMs). Every LLM needs to decide how much funding to allocate to an item with three ini…