Attention at Rest Stays at Rest: Breaking Visual Inertia for Cognitive Hallucination Mitigation
arXiv:2604.01989v2 Announce Type: replace-cross Abstract: Like a body at rest that stays at rest, we find that visual attention in…
arXiv:2604.01989v2 Announce Type: replace-cross Abstract: Like a body at rest that stays at rest, we find that visual attention in…
arXiv:2604.02334v1 Announce Type: new Abstract: As large language models (LLM)-driven agents transition from isolated task solvers to persistent digital entities,…
arXiv:2603.29493v3 Announce Type: replace-cross Abstract: Memory-augmented Large Language Models (LLMs) are essential for developing capable, long-term AI agents. Recently, applying…
arXiv:2604.00785v1 Announce Type: cross Abstract: Pretraining Large Language Models (LLMs) from scratch requires massive amount of compute. Aurora super computer…
arXiv:2604.00801v1 Announce Type: cross Abstract: Standard Mixture-of-Experts (MoE) models rely on centralized routing mechanisms that introduce rigid inductive biases. We…