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cs.CL2026
DPA-MoE: A Runtime Precision Control Framework for MoE Inference
Jaeyun Kim, Hoonki Lee, Susie Shin +3
Mixture-of-Experts (MoE) models reduce computation by routing each token to a small set of experts, but each selected expert is still used at a fixed precision. We present DPA-MoE,…
cs.CL2025
Shifting from Ranking to Set Selection for Retrieval Augmented Generation
Dahyun Lee, Yongrae Jo, Haeju Park +1
Retrieval in Retrieval-Augmented Generation(RAG) must ensure that retrieved passages are not only individually relevant but also collectively form a comprehensive set. Existing app…