grounding diagnostics 1object hallucination 1selective correction 1verifier-guided decoding 1vision-language models 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Hallucinations Leave a Grounding Signature:Verifier-Guided Decoding for Selective Object Correction
Lei Yang, Xinze Liu, Dayan Wu +7
The paper introduces a method to detect and correct hallucinated objects in large vision‑language models by identifying a hidden grounding pattern and using a lightweight verifier…
cs.CV2026
Beyond Post-Quantization: Native Hash Learning with a Dedicated HASH Token
Xinze Liu, Ding Wang, Hengjie Zhu +4
Efficient large-scale image retrieval requires compact representations that preserve semantic similarity under fast Hamming-space search. Deep hashing is appealing, but most existi…