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Recommended papers
Bioinformatics
Mina Alvarez, R. Chen, D. Patel • Harvard Medical School
This study introduces a representation framework that adapts across time and patient-specific signal drift, improving late-stage disease detection for multimodal imaging data.
Machine Learning
L. Osei, S. Kim, K. Green • Stanford HAI
The authors compare latent steering methods across scientific foundation models and demonstrate fidelity gains for hypothesis generation tasks.
Climate Science
E. Brooks, H. Yao • MIT CSAIL
A hybrid model blends physics-based constraints and learned corrections to improve seasonal forecasting under shifting climate regimes.
Computational Linguistics
N. Flores, P. Rios • University of Toronto
The paper outlines a lightweight auditing protocol for detecting representational drift and lexical imbalance in research-oriented language models.
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