A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
Abstract: Mixture distributions can be used as universal approximators for arbitrary probability densities. Within the framework of Bayesian inference based on state observation models, the usage of ...
Production-ready test-time compute optimization framework for LLM inference. Implements Best-of-N, Sequential Revision, and Beam Search strategies. Validated with models up to 7B parameters.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results