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ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory

arXiv:2509.04439v1 Announce Type: cross Abstract: While inference-time scaling enables LLMs to carry out increasingly long...

Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration

arXiv:2501.12901v2 Announce Type: replace Abstract: Contextual Partitioning introduces an innovative approach to enhancing the architectural...

Architecting memory and storage in the AI era

The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data...

Apple Researchers Reveal Structural Failures in Large Reasoning Models Using Puzzle-Based Evaluation

Artificial intelligence has undergone a significant transition from basic language models to advanced models that...

Apple makes major AI advance with image generation technology rivaling DALL-E and Midjourney

Apple researchers develop STARFlow, a breakthrough AI image generation system that challenges diffusion models used...

AP-BMM: Approximating Capability-Efficiency Pareto Sets of LLMs via Asynchronous Prior-guided Bayesian Model Merging

arXiv:2512.09972v5 Announce Type: replace-cross Abstract: Navigating the capability–efficiency trade-off in Large Language Models (LLMs) requires...

Antidistillation Sampling

arXiv:2504.13146v4 Announce Type: replace-cross Abstract: Frontier models that generate extended reasoning traces inadvertently produce rich...

Anthropic’s Code with Claude showed off coding’s future—whether you like it or not

The vibes were strong at Code with Claude, Anthropic’s two-day event for software developers in...

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