Author

Xue Liu

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Jul 2026

Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility

CostAda is introduced, a cost-calibrated adaptive controller built around a cost-calibrated frontier utility that reaches the strongest baseline's full-budget quality with at most half the budget on twelve of sixteen benchmark--backbone pairs while achieving the strongest mean final quality on all eight benchmarks under GLM-5 and GPT-5.

Yansen Zhang, Yilu Liu, Tianyu Liu et al. · arXiv.org · 0 citations

Preprint Aug 2026

AdaMTP: An Adaptive Training Paradigm for Multi-Token Prediction

AdaMTP is proposed, an adaptive training paradigm that dynamically aligns the prediction horizon with the intrinsic predictability of the sequence, and consistently outperforms standard MTP in both task performance and inference speedup.

Ziqiang Cui, Han Shi, Bowei He et al. · 0 citations