UniProbe detects hallucinated tokens in frozen LVLMs by jointly modeling attention graphs, image geometry, and response order, and uses this signal to resample bad tokens during generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year =
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UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations
UniProbe detects hallucinated tokens in frozen LVLMs by jointly modeling attention graphs, image geometry, and response order, and uses this signal to resample bad tokens during generation.