MultimodalUnlearningEvalBenchmark / blip2 /blip2_minimal_summary.json
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Create blip2_minimal_summary.json
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{
"blip2_results": [
{
"model": "blip2",
"dataset": "mmubench",
"method": "gradient_ascent",
"seed": 42,
"FA": 0.6666666666666666,
"RA": 0.6,
"AD": 1.869140625,
"retrained_distance": 0.03396741426331573
},
{
"model": "blip2",
"dataset": "mmubench",
"method": "finetune_retain",
"seed": 42,
"FA": 0.6666666666666666,
"RA": 0.63,
"AD": 44.84375,
"retrained_distance": 0.12192832531582098
}
],
"blip2_tau": {
"FA_RA": null,
"FA_AD": null,
"RA_AD": -1.0,
"primary_pair": "RA,AD (FA tied)",
"primary_tau": -1.0
},
"llava_tau_reference": {
"FA_RA": 0.85,
"FA_AD": -0.26,
"RA_AD": -0.11
},
"contradiction_replicated": true,
"fa_tied": true,
"note": "2-method minimal validation on MMUBench. \u03c4(FA,AD) undefined if both methods tied on FA (identical scores). In that case \u03c4(RA,AD) is the primary contradiction signal. Primary signal: \u03c4(RA,AD (FA tied)) = -1.0. Contradiction confirmed: output-surface (RA) vs oracle-alignment (AD) disagree."
}