arXiv:2510.04618v3 Announce Type: replace
Abstract: Large language model (LLM) applications such as agents and domain-specific reasoning increasingly rely on context adaptation: modifying inputs with instructions, strategies, or evidence, rather than …
arXiv:2603.27301v1 Announce Type: new
Abstract: Low-light image super-resolution (LLISR) is essential for restoring fine visual details and perceptual quality under insufficient illumination conditions with ubiquitous low-resolution devices. Although …
arXiv:2602.14477v2 Announce Type: replace-cross
Abstract: Peer learning, where learners teach and learn from each other, is foundational to educational practice. A novel phenomenon has emerged: AI agents forming communities where they share skills, di…
arXiv:2510.06162v2 Announce Type: replace
Abstract: Revealing novel insights from the relationship between molecular measurements and pathology remains a very impactful application of machine learning in biomedicine. Data in this domain typically cont…
arXiv:2603.19013v3 Announce Type: replace
Abstract: Generalized 3D hand-object pose estimation from a single RGB image remains challenging due to the large variations in object appearances and interaction patterns, especially under heavy occlusion. We…
arXiv:2603.28760v1 Announce Type: new
Abstract: Accurate 3D understanding of human hands and objects during manipulation remains a significant challenge for egocentric computer vision. Existing hand-object interaction datasets are predominantly captur…
Anthropic didn’t intend to introduce Mythos this way. Details of what it calls its most capable AI model yet surfaced through a data leak in its content management system (CMS), revealing a LLM with sharply improved reasoning and…
Microsoft has reportedly had a hard time convincing corporate customers to pay premium prices for its enterprise AI products, particularly as their employees prefer ChatGPT or Gemini. The Information reported in December that Mic…
arXiv:2511.14510v2 Announce Type: replace
Abstract: During LLM inference, KVCache memory usage grows linearly with sequence length and batch size and often exceeds GPU capacity. Recent proposals offload KV states to host memory and reduce transfers us…
arXiv:2602.11937v2 Announce Type: replace
Abstract: Reasoning-focused LLMs improve answer quality by generating longer reasoning traces, but the additional tokens dramatically increase serving cost, motivating inference optimization. We extend and app…