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cs.LG2026
PTGPO: Prefix Tree Group Policy Optimization
Ruolin Chen, Yang Li, Jihang Wang +4
Training language agents on long-horizon interactive tasks is challenging because sparse terminal rewards provide weak credit signals for intermediate actions. Existing group-based…
cs.LG2026
KITE: KV-Invariant Transformer Expansion for Efficient Agentic LLM Scaling
Zhiheng Hu, Yixun Wei, Jian Zhou +8
Scaling a language model is not only a question of final quality: the architectural choice determines how much computation is spent during training, prompt processing, and autoregr…