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Merged
FabioArnez merged 4 commits into from
Feb 26, 2026
Merged

1 verify contribution procedure #2

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7ddcf19
README.md update content and info
FabioArnez Feb 26, 2026
c88cef2
Add username to CONTRIBUTORS.yaml
FabioArnez Feb 26, 2026
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Merge branch 'main' into 1-verify-contribution-procedure
FabioArnez Feb 26, 2026
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updated contributors list
FabioArnez Feb 26, 2026
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4 changes: 3 additions & 1 deletion CONTRIBUTORS.yaml
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Expand Up @@ -6,4 +6,6 @@ signees:
- github_username: "danielm322"
date_signed: "2026-02-24"
- github_username: "dm274516"
date_signed: "2026-02-24"
date_signed: "2026-02-24"
- github_username: "FabioArnez"
date_signed: "2026-02-26"
25 changes: 11 additions & 14 deletions README.md
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Expand Up @@ -50,7 +50,7 @@
### Prerequisites

- Python 3.9 or higher
- CUDA-capable GPU (recommended for computer vision tasks)
- CUDA-capable GPU (recommended for computer vision tasks and LLMs)

### Using pip

Expand Down Expand Up @@ -131,7 +131,7 @@ inference_module = LaRExInference(
prediction, confidence_score = inference_module.get_score(test_image, layer_hook=hooked_layer)
```

### LLM Uncertainty Estimation (White-box methods)
### LLM Uncertainty Estimation (White-box methods) for Hallucination Detection

```python
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
Expand Down Expand Up @@ -481,20 +481,11 @@ print(f"Uncertainty Scores: {scores}")
- **GPU**: Required for efficient inference on object detection and segmentation
- **Memory**: Varies by model size (8GB+ GPU memory recommended)

---

## References

### Publications

- [Latent representation entropy density for distribution shift detection](https://hal.science/hal-04674980v1/file/417_latent_representation_entropy_.pdf)


---

## Contributing

Contributions are welcome! Please feel free to submit issues or pull requests.
Contributions are welcome! Please feel free to submit issues or pull requests by following the [Contribution Guidelines](CONTRIBUTING.md).

## License

Expand All @@ -507,6 +498,12 @@ See [LICENSE.txt](LICENSE.txt) for details.

---

## Acknowledgments
## References

### Publications

- [Latent representation entropy density for distribution shift detection](https://hal.science/hal-04674980v1/file/417_latent_representation_entropy_.pdf)


This work was developed as part of the Confiance.ai program, focusing on trustworthy AI systems with emphasis on uncertainty estimation and out-of-distribution detection.
- [The Map of Misbelief: Tracing Intrinsic and Extrinsic Hallucinations Through Attention Patterns](https://ojs.aaai.org/index.php/AAAI-SS/article/view/36884)
---