search_papers
Search over 560,000 CS/AI/ML research papers by keyword to find relevant studies with summaries, novelty scores, and structured data for literature reviews and analysis.
Instructions
Search Scholar Feed's 560k+ CS/AI/ML paper corpus by keyword. Returns papers with LLM-generated summaries, novelty scores, and structured extraction data (method, task, contribution type). Supports filtering by category, novelty, recency, method, task, dataset, contribution type, and whether papers have benchmark results.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | Search query keywords | |
| category | No | Filter by arXiv category e.g. 'cs.AI', 'cs.LG' | |
| novelty_min | No | Minimum novelty score (0-1). Use 0.5+ for novel papers. | |
| days | No | Limit to papers published within N days | |
| method_category | No | Filter by method category e.g. 'reinforcement learning', 'transformer' | |
| task | No | Filter by task e.g. 'image classification', 'question answering' (partial match) | |
| dataset | No | Filter to papers that evaluate on a specific dataset e.g. 'MMLU', 'ImageNet' | |
| contribution_type | No | Filter by paper's contribution type | |
| task_category | No | Filter by broad research area | |
| has_results | No | If true, only return papers with quantitative benchmark results in paper_results | |
| mode | No | Search mode: 'keyword' (default, full-text match) or 'semantic' (embedding similarity — finds conceptually related papers even without exact keyword matches, slower) | |
| cursor | No | Cursor from previous response's next_cursor for keyset pagination | |
| page | No | Page number | |
| limit | No | Results per page (max 50) | |
| fields | No | Comma-separated list of fields to return (e.g. 'arxiv_id,title,llm_summary,llm_novelty_score'). Default: all fields. | |
| exclude_ids | No | arXiv IDs to exclude from results (for deduplication across chained calls) |