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cs.LG2024
Theoretical Analysis of Weak-to-Strong Generalization
Hunter Lang, David Sontag, Aravindan Vijayaraghavan
Strong student models can learn from weaker teachers: when trained on the predictions of a weaker model, a strong pretrained student can learn to correct the weak model's errors an…
cs.CL2024★ 2 cited
Learning to Decode Collaboratively with Multiple Language Models
Shannon Zejiang Shen, Hunter Lang, Bailin Wang +2
We propose a method to teach multiple large language models (LLM) to collaborate by interleaving their generations at the token level. We model the decision of which LLM generates…