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cs.LG2025
Adaptive Overclocking: Dynamic Control of Thinking Path Length via Real-Time Reasoning Signals
Shuhao Jiang, Songbo Wang, Yang Qiao +7
Large Reasoning Models (LRMs) often suffer from computational inefficiency due to overthinking, where a fixed reasoning budget fails to match the varying complexity of tasks. To ad…
cs.LG2025
J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge
Chi-Min Chan, Chunpu Xu, Jiaming Ji +7
The current focus of AI research is shifting from emphasizing model training towards enhancing evaluation quality, a transition that is crucial for driving further advancements in…