Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...

The company said the model is optimised for “efficient thinking”, delivering stronger responses while using fewer tokens — a key factor in reducing inference costs in production environments.

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 ...

Capable of reasoning, designed for voice, and fluent in Indian languages, the model would be ready for population-scale deployment ...

Seed-2.0, the latest version of its Doubao large language model series. The company said the Pro variant is benchmarked ...

By Priyanjana Pramanik, MSc. Despite near-perfect exam scores, large language models falter when real people rely on them for ...

SINGAPORE--(BUSINESS WIRE)--Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and ...