Explainable AI for Protein Language Model Hallucinations
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Inria Sophia Antipolis on the French Riviera invites applications for a research position focused on explaining hallucinations in protein language models. The successful candidate will design analytical methods linking model-internal signals to physical plausibility using the FLoPS dataset and abstraqt annotations.
You'll collaborate with a cross-disciplinary team in machine learning, bioinformatics, and biophysics, develop reproducible code in Python with PyTorch, and contribute to scientific
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Valbonne, Provence-Alpes-Côte d'Azur, France Inria Sophia Antipolis Temps plein 45 000 € - 60 000 € ContratContextDeep learning has transformed protein structure prediction. However, current models can still produce physically implausible structures with high confidence. These failures, known ashallucinations, remain poorly understood and raise fundamental questions about the reliability, interpretability, and limitations of protein language models (pLMs). This...