adaptive discovery 1cost-aware search 1frontier utility 1large language models 1token budget optimization 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility
Yansen Zhang, Yilu Liu, Tianyu Liu +6
The paper proposes CostAda, a cost‑aware controller that guides large language model‑based discovery by evaluating frontier progress relative to the token cost incurred, enabling m…
cs.AI2026
Mozi: Governed Autonomy for Drug Discovery LLM Agents
He Cao, Siyu Liu, Fan Zhang +7
Tool-augmented large language model (LLM) agents promise to unify scientific reasoning with computation, yet their deployment in high-stakes domains like drug discovery is bottlene…
cs.SD2026
LEMAS: Large A 150K-Hour Large-scale Extensible Multilingual Audio Suite with Generative Speech Models
Zhiyuan Zhao, Lijian Lin, Ye Zhu +3
We present the LEMAS-Dataset, which, to our knowledge, is currently the largest open-source multilingual speech corpus with word-level timestamps. Covering over 150,000 hours acros…