…Because of this, it is difficult to determine whether an agent's language is actually grounded in what it perceived and did, or to systematically identify reasoning failures. To address this gap…
…Given text prompts, images, accessible URLs, multimodal chat history, sampled video frames, and user interaction traces, it analyzes the task context, identifies visual and personalization bottlenecks, and authors structured skills that downstream…
…We refer to these requirements as semantic commitments and formalize their lifecycle discontinuity as the Conceptual Rift , where commitments may be locally resolved or checked but fail to remain identifiable as the…
…DyCo-RL identifies token functional roles using Fisher–Rao attention dynamics and reweights policy optimization according to role-attention alignment. The resulting models exhibit substantially stronger reasoning performance across diverse visual and…
…Lightroom Classic now includes duplicate detection, which uses pixel data to identify duplicates and let users delete them. It also introduces an improved Denoise tool made specifically for Apple silicon Macs, which…
…Experiments across multiple model scales and architectures show that SEIF consistently improves instruction-following performance, suggesting strong generality. Further analyses reveal the sources of improvement and identify an effective training strategy for…
…if you push rlvr to grow both breadth and depth, i’d want to see how compute scales and whether there’s a sweet spot where extra trajectories stop paying off. This…
…recursively expands a single user click by (1) identifying reliable same-type locations through non-parametric gating of multi-scale encoder features , and (2) selecting the most spatially distant reliable point as…
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