Recoverable Identifier

arXiv:2605.18359 · detector doi_compliance · incontrovertible · 2026-05-20 11:12:24.033852+00:00

Paper page Integrity report arXiv Try DOI

Evidence text

Tang, F., Liu, C., Xu, Z., Hu, M., Huang, Z., Xue, H., Chen, Z., Peng, Z., Yang, Z., Zhou, S., Li, W., Li, Y ., Song, W., Su, S., Feng, W., Su, J., Lin, M., Peng, Y ., Cheng, X., Razzak, I., and Ge, Z. Seeing far and clearly: Mitigating hallucinations in MLLMs with attention causal decoding. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025a. Tang, J., Liu, Q., Ye, Y ., Lu, J., Wei, S., Wang, A.-L., Lin, C., Feng, H., Zhao, Z., Wang, Y ., Liu, Y ., Liu, H., Bai, X., and Huang, C. MTVQA: Benchmarking multilingual text-centric visual question answering. InFindings of the Association for Computational Linguistics: ACL 2025, pp. 7748–7763, Vienna, Austria, 2025b. Association for Computational Linguistics. doi: 10.18653/v1/ 2025.findings-acl.404. URLhttps://aclanthology.org/2025.findings-acl.404/. Tu, C., Ye, P., Zhou, D., Bai, L., Yu, G., Chen, T., and Ouyang, W. Attention reallocation: Towards zero-cost and controllable hallucination mitigation of MLLMs.arXiv preprint arXiv:2503.08342,

Evidence payload

{
  "printed_excerpt": "Tang, F., Liu, C., Xu, Z., Hu, M., Huang, Z., Xue, H., Chen, Z., Peng, Z., Yang, Z., Zhou, S., Li, W., Li, Y ., Song, W., Su, S., Feng, W., Su, J., Lin, M., Peng, Y ., Cheng, X., Razzak, I., and Ge, Z. Seeing far and clearly: Mitigating hal",
  "reconstructed_doi": "10.18653/v1/2025.findings-acl.404.URLhttps://aclanthology.org/2025.findings-acl.404/.Tu",
  "ref_index": 8,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}