New research finds that forcing Large Language Models to give shorter answers notably improves the accuracy and quality of ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

What if the tools we trust to measure progress are actually holding us back? In the rapidly evolving world of large language models (LLMs), AI benchmarks and leaderboards have become the gold standard ...

Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.

Artificial intelligence has traditionally advanced through automatic accuracy tests in tasks meant to approximate human knowledge. Carefully crafted benchmark tests such as The General Language ...

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...

AI models code simple games, but struggle to play them ...

VCG. Qwen’s new model, Qwen3.6-Plus, topped the daily rankings on the widely recognized global large-model API platform OpenRouter on Saturday, a ...