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llava-hf/llava-1.5-7b-hf
[ 16, 20, 24, 28 ]
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prior_object_last_token_v1
MLP-Probe
final prompt token before the yes/no answer
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llava-hf/llava-1.5-7b-hf
[ 16, 20, 24, 28 ]
4,096
2d53d25eadc9c7392f9b2ee8970c9487d69b346f55fab16da1d8acb4f8ef0d15
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train.jsonl
prior_object_last_token_v1
MLP-Probe
final prompt token before the yes/no answer
true
0
llava-hf/llava-1.5-7b-hf
[ 16, 20, 24, 28 ]
4,096
423ca294265715dcac288569daafb7d3f8cf6034b7c005caf24daf0f64b6eeeb
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train.jsonl
prior_object_object_token_v1
MLP-Probe
last subtoken of the object name in the prompt
true
0
llava-hf/llava-1.5-7b-hf
[ 16, 20, 24, 28 ]
4,096
9ea79257bb97fcca7d20c4599e9a5d424f6252adbde31e4db8544e96fb1b6987
26,150
train.jsonl
prior_object_object_token_v1
MLP-Probe
last subtoken of the object name in the prompt
true
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Isolated question vs generation state: analysis outputs

Analyses of object-hallucination probes on LLaVA-1.5-7B comparing the generation state of the model's own caption (Normal) with an isolated single-object yes/no question (Isolated). Each folder holds the report, per-object scores, figures and a run_manifest.json with the dataset, design, code commit and command.

Folder Observation Content
position/coco_llava15_7b O1/O2 AUROC by distinct-object position, four probes, Normal vs Isolated, COCO holdout
position/amber_llava15_7b O1/O2 the same on AMBER test
mask_object/coco_llava15_7b O4 object-mask test of image sensitivity, four probes, both settings
prefix_context/coco_llava15_7b O5 text placed before the isolated question, frozen probes

Detection records, checkpoints and the prior x object ablation are in ToiTenBao/hallucination-evaluation-results. The living summary of all observations is docs/experiments/FINDINGS_isolated_vs_generation.md on branch exp/prior-object-probe-ablation of the code repository. Seeds 0, 42, 1337; metrics are seed means, never ensembles.

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