Latest AI/ML News
2708 articles
arXiv:2402.09589v2 Announce Type: replace-cross Abstract: We present MLCC, a novel technique to augment today's congestion control algorithms to accel…
arXiv:2608.13079v2 Announce Type: replace Abstract: This paper proposes a novel learning-based approach to approximately solve instances of mixed-inte…
arXiv:2608.10433v3 Announce Type: replace Abstract: Models increasingly accompany time-series forecasts with temporal reports---delays, leading indica…
arXiv:2608.04206v2 Announce Type: replace Abstract: Physics-informed neural networks (PINNs) often require high-accuracy quasi-Newton refinement to ob…
arXiv:2608.03929v3 Announce Type: replace Abstract: Aligning diffusion models with human preferences usually relies on a sparse terminal reward evalua…
arXiv:2608.00928v2 Announce Type: replace Abstract: Subtype robustness asks whether a model keeps the correct coarse prediction when test examples com…
arXiv:2607.09816v3 Announce Type: replace Abstract: Class imbalance poses a fundamental challenge in risk-sensitive applications such as fraud detecti…
arXiv:2607.07682v2 Announce Type: replace Abstract: The inverse design of physical systems governed by partial differential equations is computational…
arXiv:2607.07003v3 Announce Type: replace Abstract: Large Language Models (LLMs) frequently exhibit sycophancy, agreeing with a user's statement even…
arXiv:2606.29248v3 Announce Type: replace Abstract: Vegetable prices in Sri Lanka are highly volatile because the market is largely import-isolated, s…
arXiv:2606.23587v2 Announce Type: replace Abstract: Previous work has found a gap between the scale of neural networks that reliably learn Conway's Ga…
arXiv:2606.17035v2 Announce Type: replace Abstract: Prior research suggests that differential privacy (DP) inherently enhances the robustness of feder…
arXiv:2606.07627v3 Announce Type: replace Abstract: A representation transfers if it stays usable once the task has changed. Standard evaluations repo…
arXiv:2606.05327v2 Announce Type: replace Abstract: Flow matching (FM) has emerged as a powerful framework for learning dynamic transport maps between…
arXiv:2605.30556v2 Announce Type: replace Abstract: CORRECTION (August 2026): the central finding of this paper is not supported. An evaluation-mode d…
arXiv:2605.25194v2 Announce Type: replace Abstract: Adversarial images pose a severe security threat to multimodal large language models through promp…
arXiv:2605.23391v3 Announce Type: replace Abstract: Physics-informed neural networks (PINNs) offer a mesh-free route to solving coupled multiphysics s…
arXiv:2605.22401v2 Announce Type: replace Abstract: CORRECTION (August 2026): an evaluation-mode defect in the shared feature-extraction pipeline affe…
arXiv:2605.08832v3 Announce Type: replace Abstract: Neural surrogate models for computational fluid dynamics (CFD) are typically trained as forward op…
arXiv:2604.18194v2 Announce Type: replace Abstract: Single-step generators promise high-fidelity synthesis at a fraction of the inference and training…