3 papers
cs.LG2026
BoT-GRPO: Efficient Process-Reward RL for Reasoning via Bag-of-Token Aggregation
Yingxiang Yang, Weihang Xiao, Zhunxuan Wang +2
Reinforcement learning is now central to eliciting reasoning in large language models, while in the popular algorithm Group Relative Policy Optimization (GRPO) every token in a rol…
cs.HC2026
Toward Frontier-Quality Declarative UI Generation at Small-Model Cost
Yingxiang Yang, Weihang Xiao, Ben Bullough +2
Declarative UI protocols such as A2UI let applications generate interactive UIs by selecting pre-built components from a catalog and binding their props to application data, rather…
cs.AI2026
Vision-Guided Iterative Refinement for Frontend Code Generation
Hannah Sansford, Derek H. C. Law, Wei Liu +3
Code generation with large language models often relies on multi-stage human-in-the-loop refinement, which is effective but very costly - particularly in domains such as frontend w…