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The Problem: There's a fundamental trade-off in LLM decoding. Low-temperature sampling produces coherent but boring and repetitive text. High-temperature sampling is more creative but often leads to ...

Abstract: Ising machines have emerged as a potential technique for hardware acceleration in solving combinatorial optimization problems. However, an effective and hardware-implementation-friendly ...

Parallel Tempering is a way to improve the coverage of a distribution, by preventing a system to be trapped in a local minimum. The idea is that it's easier to pass an energy barrier with more energy, ...

Inference for a complex system with a rough energy landscape is a central topic in Monte Carlo computation. Motivated by the successes of the Wang—Landau algorithm in discrete systems, we generalize ...