arXiv:2506.14634v2 Announce Type: replace-cross Abstract: The recent development and wider accessibility of LLMs have spurred discussions about how they can…
arXiv:2506.15507v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) have achieved remarkable success across various domains. However, recent theoretical advances…
arXiv:2506.15499v1 Announce Type: cross Abstract: Post-hoc attribution methods aim to explain deep learning predictions by highlighting influential input pixels. However,…
arXiv:2506.13798v1 Announce Type: cross Abstract: The rapid advancement of artificial intelligence has raised concerns about its potential to facilitate biological…
arXiv:2506.14329v1 Announce Type: cross Abstract: There is growing interest in extending average treatment effect (ATE) estimation to incorporate non-tabular data,…
arXiv:2506.13628v2 Announce Type: replace-cross Abstract: Synthetic data generation plays a crucial role in medical research by mitigating privacy concerns and…
arXiv:2506.14438v1 Announce Type: cross Abstract: Hyperbolic geometry has emerged as a powerful tool for modeling complex, structured data, particularly where…
arXiv:2506.14434v1 Announce Type: cross Abstract: There has been increasing interest in unifying streaming and non-streaming automatic speech recognition (ASR) models…
