Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …

While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

Although large language models (LLMs) have achieved excellent performance in a variety
of evaluation benchmarks, they still struggle in complex reasoning tasks which require …

Utilizing large language models (LLMs) to compose off-the-shelf visual tools represents a
promising avenue of research for developing robust visual assistants capable of addressing …

Recent research has demonstrated that Large Language Models (LLMs) can enhance their
capabilities by utilizing external tools. However, three pivotal questions remain …

Language agents have achieved considerable performance on various complex tasks.
Despite the incessant exploration in this field, existing language agent systems still struggle …

Ocean science, which delves into the oceans that are reservoirs of life and biodiversity, is of
great significance given that oceans cover over 70% of our planet's surface. Recently …

Following natural instructions is crucial for the effective application of Retrieval-Augmented
Generation (RAG) systems. Despite recent advancements in Large Language Models …

Reward modeling (aka, preference modeling) is instrumental for aligning large language
models with human preferences, particularly within the context of reinforcement learning …

Humankind's understanding of the world is fundamentally linked to our perception and
cognition, with\emph {human languages} serving as one of the major carriers of\emph {world …