AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs
Large language models (LLMs) exhibit complementary strengths arising from differences in pretraining data, model architectures, and decoding behaviors.
Academic or research source. Check the methodology, sample size, and whether it's been replicated.
Large language models (LLMs) exhibit complementary strengths arising from differences in pretraining data, model architectures, and decoding behaviors.
TLDR
Large language models (LLMs) exhibit complementary strengths arising from differences in pretraining data, model architectures, and decoding behaviors.