PaSa: An LLM Agent for Comprehensive Academic Paper Search

PaSa (Paper Search Agent) is a 7.6 billion parameter language model developed by Bytedance Research, specifically engineered to function as an intelligent agent for academic paper search. Unlike general-purpose LLMs, PaSa is tailored to understand, process, and retrieve information from scholarly articles, making it a specialized tool for academic research.

Key Capabilities

• Academic Paper Search: Designed to assist users in finding relevant academic papers based on queries.
• Large Context Window: Features a significant context length of 131072 tokens, enabling it to handle and analyze extensive academic texts.
• LLM Agent Architecture: Operates as an agent, suggesting its ability to perform multi-step reasoning and interaction within the search process.

Good For

• Researchers: Ideal for academics, students, and professionals who frequently need to navigate and extract information from scientific literature.
• Literature Review: Can significantly streamline the process of conducting comprehensive literature reviews.
• Information Retrieval: Specialized in retrieving precise information from academic databases and papers.

For more technical details, refer to the associated paper: PaSa: An LLM Agent for Comprehensive Academic Paper Search.