We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …

We introduce MMMU: a new benchmark designed to evaluate multimodal models on
massive multi-discipline tasks demanding college-level subject knowledge and deliberate …

Autonomous agents capable of planning, reasoning, and executing actions on the web offer
a promising avenue for automating computer tasks. However, the majority of existing …

Despite the success in specific tasks and scenarios, existing foundation agents, empowered
by large models (LMs) and advanced tools, still cannot generalize to different scenarios …

This survey summarises the most recent methods for building and assessing helpful, honest,
and harmless neural language models, considering small, medium, and large-size models …

State-of-the-art language models can exhibit impressive reasoning refinement capabilities
on math, science or coding tasks. However, recent work demonstrates that even the best …

Various human-designed prompt engineering techniques have been proposed to improve
problem solvers based on Large Language Models (LLMs), yielding many disparate code …

Real-world multi-modal problems are rarely solved by a single machine learning model, and
often require multi-step computational plans that involve stitching several models. Tool …

Autonomous interaction with the computer has been a longstanding challenge with great
potential, and the recent proliferation of large language models (LLMs) has markedly …