Hallucination Mitigation Task

A Hallucination Mitigation Task is a model improvement task that reduces language model hallucinations through technical interventions, training modifications, or architectural changes.

• AKA: Hallucination Reduction Task, Hallucination Prevention Task, Factuality Improvement Task, Truthfulness Enhancement Task.
• Context:
  • It can typically involve fine-tuning with factuality-focused datasets.
  • It can typically implement retrieval-augmented generation for knowledge grounding.
  • It can often employ reinforcement learning with truthfulness rewards.
  • It can often require iterative refinement through human feedback.
  • It can range from being a Pretraining Mitigation Task to being a Post-Training Mitigation Task, depending on its intervention phase.
  • It can range from being a Data-Based Mitigation Task to being a Architecture-Based Mitigation Task, depending on its approach.
  • It can range from being a Preventive Mitigation Task to being a Corrective Mitigation Task, depending on its timing.
  • It can range from being a Domain-Specific Mitigation Task to being a General Mitigation Task, depending on its scope.
  • ...
• Examples:
  • Training-Based Mitigation, such as:
    • Factuality Fine-Tuning with verified data.
    • Contrastive Learning Mitigation using positive-negative pairs.
    • Adversarial Training Mitigation against hallucination examples.
  • Architecture-Based Mitigation, such as:
    • Retrieval Integration Mitigation adding knowledge retrieval.
    • Attention Modification Mitigation improving context focus.
    • Ensemble Mitigation combining multiple models.
  • ...
• Counter-Examples:
  • Hallucination Detection Task, which identifies rather than prevents.
  • Post-Hoc Correction Task, which fixes after generation.
  • Performance Optimization Task, which may increase hallucination.
• See: Language Model Hallucination, Hallucination Detection Task, Socio-Technical Hallucination Mitigation Framework, Retrieval-Augmented Generation, Factual Grounding Task, Model Fine-Tuning, AI Safety Task.

---