{
  "dataset": "CNN / Daily Mail",
  "model_name": "SigExt",
  "paper_title": "SigExt: Signal Extraction for Text Summarization",
  "paper_url": "https://arxiv.org/abs/2401.12350",
  "code_links": "https://github.com/example/SigExt",
  "metrics": {
    "ROUGE-1": "42.3",
    "ROUGE-2": "19.8",
    "ROUGE-L": "39.1",
    "BLEU": "35.2"
  },
  "table_metrics": {
    "ROUGE-1": "42.3",
    "ROUGE-2": "19.8",
    "ROUGE-L": "39.1",
    "BLEU": "35.2",
    "F1": "38.7",
    "Precision": "41.1",
    "Recall": "36.4"
  },
  "prompts": [
    "Improve the SigExt model on CNN/Daily Mail dataset. Current ROUGE-1 is 42.3% and ROUGE-L is 39.1%. Focus on enhancing signal extraction for better text summarization performance."
  ]
}