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optillm/deepconf/README.md

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@@ -123,22 +123,8 @@ DeepConf typically achieves:
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- OptiLLM with `OPTILLM_API_KEY=optillm`
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- Compatible with transformer models that provide logits access
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## Limitations
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- **Local models only** - Cannot work with external API providers (OpenAI, Anthropic, etc.)
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- **Requires logits access** - Model must provide token-level probability distributions
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- **Not compatible with MLX** - Currently only supports PyTorch-based models
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## Testing
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Run the test suite to verify the implementation:
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```bash
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python test_deepconf.py
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```
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## References
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- **Paper**: "Deep Think with Confidence" by Fu et al. (2024)
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- **Paper**: "Deep Think with Confidence" by Fu et al. (2025)
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- **arXiv**: https://arxiv.org/abs/2508.15260
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- **Authors**: Yichao Fu (UCSD), Xuewei Wang (Meta AI), Yuandong Tian (Meta AI), Jiawei Zhao (Meta AI)
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- **Authors**: Yichao Fu (UCSD), Xuewei Wang (Meta AI), Yuandong Tian (Meta AI), Jiawei Zhao (Meta AI)

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