DIA
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Ruben Dias says he 'draws line' over Maya Jama break-up speculation
The Man City footballer says he usually remains silent on rumours about his personal life, but feels forced to correct the public record.
Ruben Dias says he 'draws line' over Maya Jama break-up speculation
The Man City footballer says he usually remains silent on rumours about his personal life, but feels forced to correct the public record.
Ruben Dias says he 'draws line' over Maya Jama break-up speculation
The Man City footballer says he usually remains silent on rumours about his personal life, but feels forced to correct the public record.
Ruben Dias says he 'draws line' over Maya Jama break-up speculation
The Man City footballer says he usually remains silent on rumours about his personal life, but feels forced to correct the public record.
Ruben Dias says he 'draws line' over Maya Jama break-up speculation
The Man City footballer says he usually remains silent on rumours about his personal life, but feels forced to correct the public record.
Ruben Dias says he 'draws line' over Maya Jama break-up speculation
The Man City footballer says he usually remains silent on rumours about his personal life, but feels forced to correct the public record.
Ruben Dias says he 'draws line' over Maya Jama break-up speculation
The Man City footballer says he usually remains silent on rumours about his personal life, but feels forced to correct the public record.
Ruben Dias says he 'draws line' over Maya Jama break-up speculation
The Man City footballer says he usually remains silent on rumours about his personal life, but feels forced to correct the public record.
Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models
arXiv:2606.04535v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) offer bidirectional attention and parallel generation, enabling them to exploit global context and naturally support format-constrained tasks like parseable JSON or reasoning templates. While straightforward fixed anchors can enforce such constraints, they often impose rigid spans, leading to truncated reasoning or redundant content. To overcome this, we propose Dynamic Infilling Anchors (DIA), a...
Fair Finetuning Mitigates Distribution Inference Attacks
arXiv:2606.01719v1 Announce Type: new Abstract: Machine learning models trained on sensitive data can inadvertently leak population-level information about their training distributions -- a threat known as distribution inference attack (DIA). An adversary with black-box access can infer sensitive demographic properties, such as subgroup proportions, without observing any training data directly. While defenses such as differential privacy and property unlearning have been proposed, the link...