Reasoning models think out loud, but much of what they say is noise. We introduce OPSDC (On-Policy Self-Distillation for Reasoning Compression), a method that t...

Practitioners have access to an abundance of language models and prompting strategies for solving many language modeling tasks; yet prior work shows that modeli...

A global survey of 820 IT decision makers and DevOps practitioners finds that half of respondents 53% report that developers in the age of artificial intelligen...

Most enterprise RAG pipelines are optimized for one search behavior They fail silently on the others. A model trained to synthesize cross‑document reports hand...

The Problem I kept missing trades because I looked away from my charts for five seconds. A breakout happened, a reversal formed, and by the time I looked back...

Building software repositories typically requires significant manual effort. Recent advances in large language model (LLM) agents have accelerated automation in...

Instruction following is critical for LLMs deployed in enterprise and API-driven settings, where strict adherence to output formats, content constraints, and pr...

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MOOSEnger is a tool-enabled AI agent tailored to the Multiphysics Object-Oriented Simulation Environment (MOOSE). MOOSE cases are specified in HIT '.i' input fi...

Background Today the White House announced that several major players in tech and AI have agreed to steps that will keep electricity costs from rising due to d...

Code generation has emerged as one of AI's highest-impact use cases, yet existing benchmarks measure isolated tasks rather than the complete 'zero-to-one' proce...

I read a lot on the web. I almost never look at websites, though. I consume almost everything through an RSS reader. As AI reshapes the way online information i...