Author

Li-Yi Chen

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#artificial intelligence Preprint Sep 2026

RankBuffer: Efficient Ranking-Based Rewards for Open-Ended Generation

Open-ended generation lacks canonical answers, making pointwise rewards difficult to calibrate for group-based reinforcement learning. Directly ranking same-query rollouts provides a more suitable relative reward signal, but existing ranking-based reward methods can incur substantial judging cost. We introduce RankBuff...

Zi-Xuan Yang, Yi-Qun Chen, Qi Liu et al. · 0 citations

Preprint Aug 2026

RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection

Retrieval-augmented generation (RAG) improves factuality but adds latency and engineering overhead at serving time. We propose RING (Retrieval-Internalized Generation), a holistic paradigm spanning both architecture and training that injects large-scale external knowledge into a \textit{Mixture-of-Memory Experts} and l...

Shicheng Xu, Liang Pang, Liyi Chen et al. · 0 citations