Auditing Language Model Unlearning via Information Decomposition
arXiv:2601.15111v1 Announce Type: cross Abstract: We expose a critical limitation in current approaches to machine unlearning in language models: despite…
arXiv:2601.15111v1 Announce Type: cross Abstract: We expose a critical limitation in current approaches to machine unlearning in language models: despite…
arXiv:2601.13964v2 Announce Type: replace-cross Abstract: The quality of data augmentation serves as a critical determinant for the performance of contrastive…
arXiv:2601.14271v1 Announce Type: new Abstract: Modern data systems must support accountability across persistent legal, political, and analytic disagreement. This requirement…
arXiv:2601.11144v2 Announce Type: replace-cross Abstract: Graph-based Retrieval-Augmented Generation (GraphRAG) frameworks face a trade-off between the comprehensiveness of global search and…
arXiv:2601.13435v1 Announce Type: cross Abstract: Learning profitable intraday trading policies from financial time series is challenging due to heavy noise,…