|
1 | 1 | { |
2 | 2 | "repositories": [ |
| 3 | + { |
| 4 | + "name": "bias-in-the-picture-benchmark", |
| 5 | + "repo_id": "VectorInstitute/bias-in-the-picture-benchmark", |
| 6 | + "description": "Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment - evaluates how vision-language models handle real news images containing demographic and social attributes", |
| 7 | + "implementations": [ |
| 8 | + { |
| 9 | + "name": "Bias in the Picture Benchmark", |
| 10 | + "url": "https://vectorinstitute.github.io/bias-in-the-picture-benchmark/" |
| 11 | + }, |
| 12 | + { |
| 13 | + "name": "LLM-as-Judge Evaluation Framework", |
| 14 | + "url": null |
| 15 | + }, |
| 16 | + { |
| 17 | + "name": "VLM Inference Pipeline", |
| 18 | + "url": null |
| 19 | + } |
| 20 | + ], |
| 21 | + "public_datasets": [ |
| 22 | + { |
| 23 | + "name": "Social-Cue News Images Dataset", |
| 24 | + "url": "https://github.com/VectorInstitute/bias-in-the-picture-benchmark/tree/main/data" |
| 25 | + } |
| 26 | + ], |
| 27 | + "type": "applied-research", |
| 28 | + "year": 2025, |
| 29 | + "github_url": "https://github.com/VectorInstitute/bias-in-the-picture-benchmark", |
| 30 | + "paper_url": "https://arxiv.org/abs/2509.19659", |
| 31 | + "bibtex": "narayanan2025biaspicturebenchmarkingvlms" |
| 32 | + }, |
3 | 33 | { |
4 | 34 | "name": "crisp-nam", |
5 | 35 | "repo_id": "VectorInstitute/crisp-nam", |
|
920 | 950 | "github_url": "https://github.com/VectorInstitute/privacy-enhancing-techniques" |
921 | 951 | } |
922 | 952 | ], |
923 | | - "totalImplementations": 121, |
| 953 | + "totalImplementations": 124, |
924 | 954 | "yearsOfResearch": 7, |
925 | | - "lastUpdated": "2025-11-25T12:24:55.191063" |
| 955 | + "lastUpdated": "2025-11-25T12:31:24.825921" |
926 | 956 | } |
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