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cs.LG2026
Rubrics Beyond Evaluation: Exploiting Rubric Structure in Reinforcement Learning
Yuxun Huang, Yunyao Zhang, ZeLiang Chen +3
Rubrics are widely used to evaluate open-ended question answering by breaking overall quality into explicit criteria. These explicit criteria make rubrics a rich source of learning…
cs.LG2025
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
Wenbing Li, Zikai Song, Hang Zhou +3
Recent attempts to combine low-rank adaptation (LoRA) with mixture-of-experts (MoE) for multi-task adaptation of Large Language Models (LLMs) often replace whole attention/FFN laye…