Papers by Shunqi Mao
Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding (2026.acl-long)
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| Challenge: | Existing vision-language models suffer from visual hallucination, where the generated responses contain inaccuracies that are not grounded in the visual input. |
| Approach: | They propose a visual decoding method that iteratively isolates relevant visual tokens based on attention and magnifies the corresponding regions. |
| Outcome: | The proposed method reduces language biases and amplifies weights of visual embedding during decoding, while still preserving strong reasoning capabilities. |