Instructions to use OzLabs/VericodingEBM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OzLabs/VericodingEBM with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
card: rename to Hybrid-Averse
Browse files
README.md
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library_name: peft
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# VericodingEBM —
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LoRA + per-line scalar head trained on top of [Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) to score every line of a Verus implementation with an energy proxy for *"this line is the bug."*
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📄 **Paper:** see [`paper/main.pdf`](https://github.com/ozlabsai/VericodingEBM/blob/main/paper/main.pdf)
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💾 **Code + reproducibility:** https://github.com/ozlabsai/VericodingEBM
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📊 **Training data:** [`OzLabs/VericodingEBM-data`](https://huggingface.co/datasets/OzLabs/VericodingEBM-data)
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## Headline results (
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| Measurement |
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| Per-line top-3 recall on Verus dev-test (n=609 FAILs) | **0.84** | 0.74 (Claude Opus 4.7) |
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| Whole-impl discrimination AUROC | 0.78 | **0.91** (GPT-5.5) |
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## Marker-leak audit (paper §4.6)
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This checkpoint is **marker-AVERSE**:
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## License
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library_name: peft
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---
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# VericodingEBM — Hybrid-Averse checkpoint
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A LoRA + per-line scalar head trained on top of [Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) to score every line of a Verus implementation with an energy proxy for *"this line is the bug."*
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This is the canonical **Hybrid-Averse** checkpoint reported in the paper — the post-fix model that learned to anti-correlate with the `// FAILS` debug marker rather than rely on it.
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Submitted to the Apart × Atlas Computing **Secure Program Synthesis Hackathon, Track 3 (Vericoding)**.
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📄 **Paper:** see [`paper/main.pdf`](https://github.com/ozlabsai/VericodingEBM/blob/main/paper/main.pdf)
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💾 **Code + reproducibility:** https://github.com/ozlabsai/VericodingEBM
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📊 **Training data:** [`OzLabs/VericodingEBM-data`](https://huggingface.co/datasets/OzLabs/VericodingEBM-data)
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## Headline results (Hybrid-Averse)
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| Measurement | Hybrid-Averse (this model) | Best frontier LLM |
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| Per-line top-3 recall on Verus dev-test (n=609 FAILs) | **0.84** | 0.74 (Claude Opus 4.7) |
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| Whole-impl discrimination AUROC | 0.78 | **0.91** (GPT-5.5) |
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## Marker-leak audit (paper §4.6)
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This checkpoint is **marker-AVERSE**: per-line top-1 recall jumps from 4% → 56% when the `// FAILS` debug markers are stripped from the input (delta = −52pp). This is the result of the counterfactual-marker augmentation described in paper §B. The pre-audit **Sentinel-Reliant** checkpoint (not released here) shows the opposite regime — signal collapses without markers, exposing the leak that motivated this work.
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## License
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