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Datasets:
ruotong-pan
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CAGB

Tasks:
Question Answering
Languages:
English
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Credibility-aware Generation Benchmark (CAGB) is a benchmark constructed to evaluate the credibility-aware generation ability of models, dealing with flawed information in the context. This benchmark encompasses the following three specific scenarios where the integration of credibility is essential:

  • Open-domain QA
    • 2WikiMultiHopQA
    • HotpotQA
    • Musique
    • RGB
  • Time-sensitive QA
    • EvoTempQA
  • Misinformation Polluted QA
    • NewsPollutedQA

Read our paper for more insights on credibility-aware generation.

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