Large language models (LLMs) have achieved superior performance in powering text-
based AI agents, endowing them with decision-making and reasoning abilities akin to …

Navigating complex environments in Minecraft poses significant challenges for multi-agent
systems due to the game's dynamic and unpredictable open-world setting. Agents need to …

Recent advancements in adverse weather restoration have shown potential, yet the
unpredictable and varied combinations of weather degradations in the real world pose …

Recently, integrating video foundation models and large language models to build a video
understanding system can overcome the limitations of specific pre-defined vision tasks. Yet …

With the power of large language models (LLMs), open-ended embodied agents can flexibly
understand human instructions, generate interpretable guidance strategies, and output …

Neural Code Intelligence--leveraging deep learning to understand, generate, and optimize
code--holds immense potential for transformative impacts on the whole society. Bridging the …

Multimodal Large Language Model (MLLM) has recently garnered attention as a prominent
research focus. By harnessing powerful LLM, it facilitates a transition of conversational …

The rapid evolution of large language models (LLMs) and their capacity to simulate human
cognition and behavior has given rise to LLM-based frameworks and tools that are …

Video detailed captioning is a key task which aims to generate comprehensive and coherent
textual descriptions of video content, benefiting both video understanding and generation. In …

Recent studies have delved into constructing generalist agents for open-world environments
like Minecraft. Despite the encouraging results, existing efforts mainly focus on solving basic …