Papers by Manwen Liao

1 papers
PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR (2026.acl-long)

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Challenge: In high-precision tasks, vision language models suffer from Linguistic Priors Hallucination .
Approach: They propose a training-free, inference-time intervention framework to mitigate this by integrating visual encoders with Large Language Model decoders.
Outcome: The proposed framework reduces hallucination rates by 12% in long-context scenarios while maintaining robust generalization on standard benchmarks.

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