Generative sequence models for physical tasks exhibit physical misgeneralization where local prediction errors propagate through physical measurements to distort aggregate distributions over quantities like distance or energy; a data deviation kernel explains and predicts the shifts and supports a内核
Advances in Neural Information Processing Systems , volume=
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mllm-shap is an open-source Python platform extending Shapley Value explainability to text-audio Multimodal LLMs via modality-aware masking and phonetic token grouping.
NeuralSet is a scalable Python framework that unifies diverse neural recordings and stimuli with deep learning embeddings via metadata decoupling and lazy data extraction.
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mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models
mllm-shap is an open-source Python platform extending Shapley Value explainability to text-audio Multimodal LLMs via modality-aware masking and phonetic token grouping.