Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Step-wise Rubric Rewards for LLM Reasoning
Weichu Xie, Haozhe Zhao, Wenpu Liu +15
Reinforcement Learning with Verifiable Rewards (RLVR) improves language-model reasoning using final-answer correctness, but lacks supervision for intermediate steps. Rubric-based m…
cs.LG2025
Improving MLLM Training Efficiency via Stage-Aware Sparsity
Kean Shi, Liang Chen, Haozhe Zhao +1
Multimodal Large Language Models (MLLMs) have demonstrated outstanding performance across a variety of domains. However, training MLLMs is often inefficient, as much of the computa…