A 7B model trained with reasoning distillation and reinforcement learning reaches 32.9% batch-level accuracy on a new single-cell annotation benchmark, versus 19.0% for OpenAI's o1.
A comparison of automatic cell identification methods for single-cell rna sequencing data
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Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning
A 7B model trained with reasoning distillation and reinforcement learning reaches 32.9% batch-level accuracy on a new single-cell annotation benchmark, versus 19.0% for OpenAI's o1.