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cs.AI2025
Strategic Scaling of Test-Time Compute: A Bandit Learning Approach
Bowen Zuo, Yinglun Zhu
Scaling test-time compute has emerged as an effective strategy for improving the performance of large language models. However, existing methods typically allocate compute uniforml…
cs.CL2025★ 1 cited
Positional Attention for Efficient BERT-Based Named Entity Recognition
Mo Sun, Siheng Xiong, Yuankai Cai +1
This paper presents a framework for Named Entity Recognition (NER) leveraging the Bidirectional Encoder Representations from Transformers (BERT) model in natural language processin…