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Shanghai Jiao Tong University, Shanghai Innovation Institution, Jiangsu Key Lab of Language Computing, Suzhou Laboratory
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LLMs maintain surface syntax but collapse on structural semantics, revealing critical gaps in their ability to function as reliable agents in complex environments.
Despite the promise of transcriptomic models for predicting immunotherapy response, existing models fail to generalize across independent patient cohorts, raising serious questions about their clinical utility.
Forget quadratic attention: FEAT achieves state-of-the-art performance on structured data with linear complexity and 40x faster inference.
