most citedFrom Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CL2026★ 1 cited

From Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generation

Jiahao Wang, Weiyu Xie, Mingxing Zhang +10

Retrieval-Augmented Generation enhances Large Language Models by integrating external knowledge, which reduces hallucinations but increases prompt length. This increase leads to hi…

cs.LG2025

Critique to Verify: Accurate and Honest Test-Time Scaling with RL-Trained Verifiers

Zhicheng Yang, Zhijiang Guo, Yinya Huang +4

Test-time scaling via solution sampling and aggregation has become a key paradigm for improving the reasoning performance of Large Language Models (LLMs). While reward model select…

cs.LG2025

TreeRPO: Tree Relative Policy Optimization

Zhicheng Yang, Zhijiang Guo, Yinya Huang +3

Large Language Models (LLMs) have shown remarkable reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR) methods. However, a key limitation of existi…