most citedOpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

7 citations · 8 across the 3 of their papers we have counts for

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cs.CL2024

Efficient Model-agnostic Alignment via Bayesian Persuasion

Fengshuo Bai, Mingzhi Wang, Zhaowei Zhang +4

With recent advancements in large language models (LLMs), alignment has emerged as an effective technique for keeping LLMs consensus with human intent. Current methods primarily in…