CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

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Cited by

135 papers of our library cite it (of the 140673 whose bibliographies we read); 7 of them have a page here, 128 not yet.

• A Survey on Automated Fact-Checking
• TrustLLM: Trustworthiness in Large Language Models
• Datasets: A Community Library for Natural Language Processing
• Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
• ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
• BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
• Text Embeddings by Weakly-Supervised Contrastive Pre-training

Cite

The paper itself, not this page. BibTeX from the library's record of the work. DOI 10.48550/arxiv.2012.00614 · arXiv 2012.00614

@misc{diggelmann2020climate,
  title = {{CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims}},
  author = {Diggelmann, Thomas and Boyd-Graber, Jordan and Bulian, Jannis and Ciaramita, Massimiliano and Leippold, Markus},
  year = {2020},
  doi = {10.48550/arxiv.2012.00614},
  eprint = {2012.00614},
  archivePrefix = {arXiv},
  url = {https://doi.org/10.48550/arxiv.2012.00614}
}

References

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