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Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore
The user wants me to rewrite an article from AWS about Amazon Bedrock AgentCore's Consent portal into a substantial original article for their news section. Let me understand the requirements: 1. Structure: ~700-1
The Case for Bringing Your LLMs Home
For years the default answer to "which model should we use" has been a cloud API. Call an endpoint, pay per token, let someone else worry about GPUs. That default still works for plenty of workloads. But as enterprise AI usage has...
PTXBench: Benchmarking and Adapting LLMs for GPU Kernel Optimization
PTXBench evaluates LLM-generated GPU kernels on real hardware Genghan Zhang and collaborators introduced PTXBench in August 2026 as a benchmark for evaluating and adapting large language models to use architecture-specific PTX for...
Apple changes full-disk access permissions to curb abuse from AI agents
Apple tightens Full Disk Access to curb AI agent overreach Apple announced changes to macOS privacy settings intended to limit how third-party applications access sensitive user data. The update targets Full Disk Access, a system-...
ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research
Author-Annotated Benchmark for Scientific Paper Retrieval ScholarCatalyst introduces a benchmark designed to study how researchers identify prior work that inspired their projects. The dataset was built by having 184 lead authors...
VISTA: A Visual Harness for Reasoning in an Interactive World
We show that multimodal models possess strong reasoning abilities and that an appropriate harness can unlock their potential to solve tasks across diverse interactive environments. We introduce VISTA, a visual harness that gives a...
The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models
Large language models now solve competition-level mathematics yet it remains unclear whether they grasp the structural logic behind their solutions. This paper introduces the Mathematical Primitive as a probe for structural unders...
Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation
Sparse Routing in Multimodal Mixture-of-Experts Architectures Mixture-of-Experts (MoE) architectures have become a cornerstone for scaling modern multimodal models. The standard Transformer feed-forward layer replaces a single den...
Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes
On-policy self-distillation has recently emerged as an effective approach for improving language-model reasoning by supervising students with a frozen or EMA version of themselves that receives privileged information. Its applicat...
LLM2Jev: LLMs Are Already Jev-Style Decision Models -- When and How to Fine-Tune Them
Standard chat models generate free-form text that must be parsed into structured values, introducing latency and the risk of malformed outputs. Jev-style decision models return categorical probability distributions over predefined...