14 citations · 18 across the 8 of their papers we have counts for
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cs.RO2026
Prism-GRPO: Faster VLA Policy Optimization via Splitting Same-outcome Groups
Zeyun Deng, Yuzhe Lu, Yawei Wang +6
GRPO is increasingly used for reinforcement learning of vision-language-action (VLA) policies because, unlike PPO, it does not require training a critic. This simplification comes…
cs.AI2026
CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection
Linbo Liu, Guande Wu, Han Ding +7
Large language model agents rely on effective model context to obtain task-relevant information for decision-making. Many existing context engineering approaches primarily rely on…
cs.PL2026
Agentic Code Optimization via Compiler-LLM Cooperation
Benjamin Mikek, Danylo Vashchilenko, Bryan Lu +1
Generating performant executables from high level languages is critical to software performance across a wide range of domains. Modern compilers perform this task by passing code t…