The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how trustworthy they really are.

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

Researchers from Standford, Princeton, and Cornell have developed a new benchmark to better evaluate coding abilities of large language models (LLMs). Called CodeClash, the new benchmark pits LLMs ...

Abstract: We introduce DriveAgent, a modular multi-agent autonomous driving framework that leverages large language model (LLM) reasoning combined with multimodal sensor fusion for autonomous driving.

Hi, here is the INC team from Intel. Thank you for developing this amazing project! Our team has developed AutoRound, a novel tuning-based quantization algorithm that delivers state-of-the-art ...

The number of people living with dementia worldwide was estimated at 57 million in 2021 with nearly 10 million new cases recorded each year. In the U.S., dementia impacts more than 6 million lives, ...

We introduce LEGOMem, a modular procedural memory framework for multi-agent large language model (LLM) systems in workflow automation. LEGOMem decomposes past task trajectories into reusable memory ...

Abstract: The existing generative coding of distribution grids modeling and optimization face several issues, like complicated usage or high auto-codes error rates ...

I used to think hunting for Hot Wheels in the wild was the best way to pursue the hobby. But it has felt frustrating lately because of scalpers, rare restocks, and a lack of time. After going through ...

🎉 TradingAgents officially released! We have received numerous inquiries about the work, and we would like to express our thanks for the enthusiasm in our community. So we decided to fully ...