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cs.CL2026
Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck
Davide Romano, Kanak Raj, Jerrod Parker +1
Test-time scaling (TTS) improves language model outputs by spending additional inference compute - generating multiple candidates, searching over partial sequences, or iteratively…
cs.CL2020
Neural Machine Translation with Monte-Carlo Tree Search
Jerrod Parker, Jerry Zikun Chen
Recent algorithms in machine translation have included a value network to assist the policy network when deciding which word to output at each step of the translation. The addition…