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Current LLMs struggle with biologically complex tasks in single-cell biology, particularly those requiring mechanistic or causal understanding, highlighting the need for more biology-aligned foundation models.
MLLMs can be significantly boosted by curriculum learning that focuses on reward design rather than data selection, dynamically weighting generalized rubrics based on the model's evolving competence.
