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| """ | |
| experiments/ | |
| ============ | |
| Pluggable experiment modules for the VLM Image Captioning pipeline. | |
| ablation_study.py — Cross-attention mask ablation (BLIP / ViT-GPT2) | |
| cross_attention_patterns.py — Architecture comparison table | |
| parameter_sweep.py — beam_size / length_penalty / max_length sweep | |
| data_prep_analysis.py — Before vs after caption quality filtering | |
| vqa_experiment.py — Visual Question Answering demo (BLIP-VQA) | |
| """ | |
| from .ablation_study import ( | |
| build_ablation_mask, | |
| evaluate_blip_ablation, | |
| run_ablation_study, | |
| ABLATION_MODES, | |
| ) | |
| __all__ = [ | |
| "build_ablation_mask", | |
| "evaluate_blip_ablation", | |
| "run_ablation_study", | |
| "ABLATION_MODES", | |
| ] | |