Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

To address intricate real-world tasks, there has been a rising interest in tool utilization in
applications of large language models (LLMs). To develop LLM-based agents, it usually …

Language models (LMs) are powerful yet mostly for text generation tasks. Tools have
substantially enhanced their performance for tasks that require complex skills. However …

Recent advancements in large language models (LLMs) have significantly boosted the rise
of Role-Playing Language Agents (RPLAs), ie, specialized AI systems designed to simulate …

Large Language Models exhibit robust problem-solving capabilities for diverse tasks.
However, most LLM-based agents are designed as specific task solvers with sophisticated …

This paper introduces AQA-Bench, a novel benchmark to assess the sequential reasoning
capabilities of large language models (LLMs) in algorithmic contexts, such as depth-first …

Information seeking and integration is a complex cognitive task that consumes enormous
time and effort. Inspired by the remarkable progress of Large Language Models, recent …

Large language models (LLMs) have transformed AI research thanks to their powerful
internal capabilities and knowledge. However, existing LLMs still fail to effectively …

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 …