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Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision

Implement Case-Grounded Evidence Verification to build robust, evidence-sensitive AI models. This framework structures supervision around clear evidence-claim relationships (support, contradiction, neutrality), ensuring models genuinely depend on provided evidence rather than superficial associations.

intermediate1-2 hours5 steps
The play
  1. Define Evidence Relationship Labels
    Establish a clear set of labels to categorize how evidence relates to a claim. Common labels include: 'SUPPORT' (evidence directly verifies the claim), 'CONTRADICT' (evidence directly refutes the claim), and 'NEUTRAL' (evidence is irrelevant or insufficient to verify/refute).
  2. Generate Target Claims
    Create or select specific claims or factual statements that your AI model needs to verify. These claims will serve as the core statements for constructing your evidence-sensitive dataset.
  3. Gather Diverse Evidence
    For each claim, retrieve or synthesize multiple pieces of evidence: 'Positive Evidence' (E_pos) that clearly supports the claim, 'Negative Evidence' (E_neg) that clearly contradicts it, and 'Neutral Evidence' (E_irr) that is related to the topic but neither supports nor contradicts.
  4. Pair & Annotate Evidence
    Combine each claim with its collected evidence pieces. Assign the appropriate verification label (SUPPORT, CONTRADICT, or NEUTRAL) to each claim-evidence pair based on their relationship. This creates individual 'cases' for supervision.
  5. Construct Case-Grounded Datasets
    Organize these annotated claim-evidence pairs into a structured dataset. Ensure the dataset contains a balanced variety of SUPPORT, CONTRADICT, and NEUTRAL cases to train your model to genuinely depend on evidence for its decisions.
Starter code
[
  {
    "claim": "The capital of France is Paris.",
    "evidence": "Paris is the most populous city and capital of France, situated on the River Seine.",
    "label": "SUPPORT"
  },
  {
    "claim": "The capital of France is Paris.",
    "evidence": "The Eiffel Tower, a famous landmark, is located in France.",
    "label": "NEUTRAL"
  },
  {
    "claim": "The capital of France is Paris.",
    "evidence": "Marseille, a major port city, serves as the capital of France.",
    "label": "CONTRADICT"
  }
]
Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision — Action Pack