For rebuttal, add GLiNER2 eval results#102
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Pull request overview
Adds evaluation artifacts for the GLiNER2 CV-parsing run, capturing both the exact invocation used and the resulting per-item/aggregate metrics for later comparison and reproducibility.
Changes:
- Added a full CV parsing evaluation result JSON for
fastino/gliner2-large-v1onSculpt-AI/GIMBench-cv-parse. - Added a small
eval.shhelper script to rerun the same evaluation configuration.
Reviewed changes
Copilot reviewed 1 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| results/260411-kdd-rebuttal-cv-gliner2-model/fastino_gliner2-large-v1_Sculpt-AI_GIMBench-cv-parse_260411-010729.json | Stores the recorded environment/args plus detailed per-item extraction outcomes and aggregate accuracy. |
| results/260411-kdd-rebuttal-cv-gliner2-model/eval.sh | Provides a reproducible command to rerun the GLiNER2 CV parsing evaluation. |
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| "phone_number": { | ||
| "prediction": "", | ||
| "expected": "+49 (0) 621 181 2098", | ||
| "verbatim_correct": false, | ||
| "judge_model_correct": false, | ||
| "correct": false | ||
| }, | ||
| "email": { | ||
| "prediction": "B n.zhang@uni-mannheim.de", | ||
| "expected": "n.zhang@uni-mannheim.de", | ||
| "verbatim_correct": false, | ||
| "judge_model_correct": false, | ||
| "correct": false |
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| python -m gimbench.cv.cv_parse \ | ||
| --use_gliner2 \ | ||
| --model_name "fastino/gliner2-large-v1" \ | ||
| --model_type "openai" \ | ||
| --judge_model_name "google/gemini-2.5-flash" \ | ||
| --api_key $API_KEY --base_url $API_BASE |
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