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13 changes: 13 additions & 0 deletions docs/source/paper_index.md
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Expand Up @@ -457,6 +457,19 @@ training_args = DPOConfig(

These parameters only appear in the [published version](https://aclanthology.org/2025.tacl-1.22.pdf)

## Kahneman–Tversky Optimization

Papers relating to the [`KTOTrainer`]

### KTO: Model Alignment as Prospect Theoretic Optimization

**📜 Paper**: https://huggingface.co/papers/2402.01306

KTO derives an alignment objective from prospect theory and learns directly from **binary** human feedback (liked/disliked), matching or surpassing DPO-style methods while handling imbalanced/noisy signals well.
**Used in TRL via:** [`KTOTrainer`]
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## Supervised Fine-Tuning

Papers relating to the [`SFTTrainer`]
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