1 citations · 1 across the 7 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.CL2026
Rethinking Soft Compression in Retrieval-Augmented Generation: A Query-Conditioned Selector Perspective
Yunhao Liu, Zian Jia, Xinyu Gao +2
Retrieval-Augmented Generation (RAG) effectively grounds Large Language Models (LLMs) with external knowledge and is widely applied to Web-related tasks. However, its scalability i…
cs.AI2026
Reasoning with Autoregressive-Diffusion Collaborative Thoughts
Mu Yuan, Liekang Zeng, Guoliang Xing +2
Autoregressive and diffusion models represent two complementary generative paradigms. Autoregressive models excel at sequential planning and constraint composition, yet struggle wi…