Enhance your literature review process by seamlessly searching and discussing machine learning papers. Engage in natural conversations with your LLMs to discover new research and organize your ideas effectively. Leverage the power of arXiv and Hugging Face papers to enrich your writing experience.
Tools
semantic_search_papers_on_huggingface
Search for papers on HuggingFace using semantic search. Args: query (str): The query term to search for. It will automatically determine if it should use keywords or a natural language query, so format your queries accordingly. top_n (int): The number of papers to return. Default is 10, but you can set it to any number. Returns: str: A list of papers with the title, summary, ID, and upvotes.
fetch_paper_details_from_arxiv
Get the Arxiv info for a list of papers. Args: arxiv_ids (list[str] | str): The IDs of the papers to get the Arxiv info for, e.g. ["2503.01469", "2503.01470"]