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card: rename to Hybrid-Averse

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  1. README.md +8 -6
README.md CHANGED
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  library_name: peft
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  ---
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- # VericodingEBM — Per-Line Fault Localizer for Verus
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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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- 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 (run #10, this checkpoint)
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- | Measurement | This model | Best frontier LLM |
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  |---|---|---|
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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**: its per-line top-1 recall jumps from 4% to 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; pre-fix checkpoints (run #7) are marker-RELIANT (signal collapses without markers).
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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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  |---|---|---|
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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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