VQ-tokenized VLMs share a circuit that causes object hallucinations

Activation patching across 25 models reveals an early-layer attention routing circuit unique to vector-quantized vision-language models.

Academic

Adobe · Arizona State University

Research Digest··2 min read
The authors identify a shared early-layer attention routing circuit in VQ-tokenized VLMs that drives object hallucinations, and propose a three-gate diagnostic to detect it.

Using activation patching across 25 models spanning 8 LLM families, Hegde et al.

Why this paper

From Adobe and Arizona State University

In one line

Object hallucination in VQ-tokenized vision-language models is caused by an early-layer attention routing circuit installed by vector quantization, not by generic miscalibration.

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Research Digest

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