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PETA achieves superior ligand ranking by adapting pretrained models at test time with only 0.03% of the parameters updated, revolutionizing efficiency in virtual screening.
CASE achieves a remarkable 37% boost in chain-of-thought faithfulness by enforcing causal alignment, revealing the potential pitfalls of conventional autoregressive approaches.
