search_papers
Search academic papers across Semantic Scholar, arXiv, and OpenAlex with LLM-powered reranking for relevant results.
Instructions
Search for academic papers across multiple sources (Semantic Scholar, arXiv, OpenAlex). Results are ranked using LLM-based reranking for better relevance.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Search query (e.g., "attention is all you need", "CRISPR gene editing") | |
| limit | No | Maximum results to return (1-100, default 10) | |
| year | No | Filter by year or range (e.g., "2023", "2020-2024") | |
| venue | No | Filter by venue (e.g., "NeurIPS", "Nature") | |
| fields_of_study | No | Comma-separated fields (e.g., "Computer Science,Mathematics") | |
| paper_types | No | Comma-separated types (e.g., "JournalArticle,Conference,Review,Book,Dataset"). Default: all types. | |
| min_citations | No | Minimum citation count filter (default 0) | |
| open_access_only | No | Only return papers with free PDF access | |
| sort | No | Sort results by "citations" (most cited first) or "date" (newest first). Default: relevance. | |
| intent | No | Ranking preference. "foundational" for seminal papers, "recent" for latest work, "survey" for reviews, "method" for specific techniques. Default: balanced relevance. |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |