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Stacked Cross Attention for Image-Text Matching
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“Adding images to such measures (e.g., Vilbertscore [72], TIGEr [65], SCAN [75]) or using reference-free measures (e.g., CLIPScore [59]) can help, but degraded images can be a confound in their scores.”
From "It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models (2026) · cites this paper as [75]
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Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 73,472
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Ren, S., He, K., Girshick, R., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1506.01497 · Cited by 70,812
ImageNet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333
Microsoft COCO: Common Objects in Context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.81 · Cited by 32,684
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
Bidirectional recurrent neural networks
Schuster, M., & Paliwal, K. K. (1997) · IEEE Transactions on Signal Processing · doi:10.1109/78.650093 · Cited by 10,172
Effective Approaches to Attention-based Neural Machine Translation
Luong, T., Pham, H., & Manning, C. D. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d15-1166 · Cited by 8,382
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhutdinov, R., Zemel, R., & Bengio, Y. (2015) · arXiv · doi:10.48550/arxiv.1502.03044 · Cited by 8,248
Research works printed but not linked: 6
- Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. arXiv preprint arXiv:1607.06450 (2016) · arXiv
- Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: ICLR (2015)
- Chorowski, J.K., Bahdanau, D., Serdyuk, D., Cho, K., Bengio, Y.: Attention-based models for speech recognition. In: NIPS (2015)
- Faghri, F., Fleet, D.J., Kiros, J.R., Fidler, S.: VSE++: improved visual-semantic embeddings. arXiv preprint arXiv:1707.05612 (2017) · arXiv
- Peng, Y., Qi, J., Yuan, Y.: CM-GANs: cross-modal generative adversarial networks for common representation learning. arXiv preprint arXiv:1710.05106 (2017) · arXiv
- Zheng, Z., Zheng, L., Garrett, M., Yang, Y., Shen, Y.D.: Dual-path convolutional image-text embedding. arXiv preprint arXiv:1711.05535 (2017) · arXiv
Cited by
Sorted by citations
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Chang, S., & Ghamisi, P. (2023) · IEEE Transactions on Image Processing · doi:10.1109/tip.2023.3328224 · Cited by 127
Universal Weighting Metric Learning for Cross-Modal Matching
Wei, J., Xu, X., Yang, Y., Ji, Y., Wang, Z., & Shen, H. T. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.01302 · Cited by 110
From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection
Deng, J., Zhou, W., Zhang, Y., & Li, H. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3100848 · Cited by 111
Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
Murahari, V., Batra, D., Parikh, D., & Das, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58523-5_20 · Cited by 109
Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval
Qin, Y., Peng, D., Peng, X., Wang, X., & Hu, P. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3547922 · Cited by 113
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models
Cao, J., Gan, Z., Cheng, Y., Yu, L., Chen, Y.-C., & Liu, J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58539-6_34 · Cited by 112
Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering
Park, J., Lee, J., & Sohn, K. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.01527 · Cited by 105
Cross-Modal Retrieval With Partially Mismatched Pairs
Hu, P., Huang, Z., Peng, D., Wang, X., & Peng, X. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2023.3247939 · Cited by 113
Recent Advances in Large Language Models for Healthcare
Nassiri, K., & Akhloufi, M. A. (2024) · BioMedInformatics · doi:10.3390/biomedinformatics4020062 · Cited by 108
Compositional Learning of Image-Text Query for Image Retrieval
Anwaar, M. U., Labintcev, E., & Kleinsteuber, M. (2021) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv48630.2021.00118 · Cited by 107
Deep Multimodal Neural Architecture Search
Zhou, Y., Cui, Y., Yu, J., Wang, M., Tao, D., & Tian, Q. C. (2020) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3394171.3413977 · Cited by 106
Differentiable Cross-modal Hashing via Multimodal Transformers
Tu, J., Liu, X., Lin, Z., Hong, R., & Wang, M. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3548187 · Cited by 104
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Wei, J., Yang, Y., Xu, X., Zhu, X., & Shen, H. T. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3088863 · Cited by 99
Text-based Person Search via Multi-Granularity Embedding Learning
Wang, C., Luo, Z., Lin, Y., & Li, S. (2021) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2021/148 · Cited by 97
Pedestrian-specific Bipartite-aware Similarity Learning for Text-based Person Retrieval
Shen, F., Shu, X., Du, X., & Tang, J. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612009 · Cited by 97
Graph Optimal Transport for Cross-Domain AlignmentPreprint
Chen, L., Gan, Z., Cheng, Y., Li, L., Carin, L., & Liu, J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.14744 · Cited by 100
Yu, J., Zhang, W., Lu, Y., Qin, Z., Hu, Y., Tan, J., & Wu, Q. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.2972830 · Cited by 96
Hierarchical Gumbel Attention Network for Text-based Person Search
Zheng, K., Liu, W., Liu, J., Zha, Z.-J., & Mei, T. (2020) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3394171.3413864 · Cited by 97
Adversarial attack and defense technologies in natural language processing: A survey
Qiu, S., Liu, Q., Zhou, S., & Huang, W. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.04.020 · Cited by 94
Parameter-Efficient Transfer Learning for Remote Sensing Image–Text Retrieval
Yuan, Y., Zhan, Y., & Xiong, Z. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3308969 · Cited by 94
Object Detection with Transformers: A Review
Shehzadi, T., Hashmi, K. A., Liwicki, M., Stricker, D., & Afzal, M. Z. (2025) · Sensors · doi:10.3390/s25196025 · Cited by 93
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval
Sun, S., Chen, Y.-C., Li, L., Wang, S., Fang, Y., & Liu, J. (2021) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/2021.naacl-main.77 · Cited by 94
A Self-boosting Framework for Automated Radiographic Report Generation
Wang, Z., Zhou, L., Wang, L., & Li, X. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00246 · Cited by 95
Dance Revolution: Long-Term Dance Generation with Music via Curriculum LearningPreprint
Huang, R., Huang, H., Wu, W., Sawada, K. B., Zhang, M., & Jiang, D. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.06119 · Cited by 92
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
Datta, S., Sikka, K., Roy, A., Ahuja, K., Parikh, D., & Divakaran, A. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00269 · Cited by 90
Unified Adaptive Relevance Distinguishable Attention Network for Image-Text Matching
Zhang, K., Mao, Z., Liu, A.-A., & Zhang, Y. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3141603 · Cited by 89
Adaptive Cross-Modal Embeddings for Image-Text Alignment
Wehrmann, J., Kolling, C., & Barros, R. C. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6915 · Cited by 88
ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval
Cheng, M., Sun, Y., Wang, L., Zhu, X., Yao, K., Chen, J., Song, G., Han, J., Liu, J., Ding, E., et al. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.00512 · Cited by 87
Leveraging Intra and Inter Modality Relationship for Multimodal Fake News Detection
Singhal, S., Pandey, T., Mrig, S., Shah, R. R., & Kumaraguru, P. (2022) · International World Wide Web Conference (WWW) · doi:10.1145/3487553.3524650 · Cited by 86
Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification
Shao, Z., Zhang, X., Ding, C., Wang, J., & Wang, J. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01026 · Cited by 95
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning
Xu, H., Yan, M., Li, C., Bi, B., Huang, S., Xiao, W., & Huang, F. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.18653/v1/2021.acl-long.42 · Cited by 84
Attention mechanisms and deep learning for machine vision: A survey of the state of the artPreprint
Hafiz, A. M., Parah, S. A., & Bhat, R. U. A. (2021) · Research Square · doi:10.21203/rs.3.rs-510910/v1 · Cited by 92
LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval
Tan, R., Xu, H., Saenko, K., & Plummer, B. A. (2021) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv48630.2021.00213 · Cited by 82
Li, Y., Wang, H., & Luo, Y. (2020) · 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm49941.2020.9313289 · Cited by 81
Improving Cross-Modal Retrieval with Set of Diverse Embeddings
Kim, D.-W., Kim, N., & Kwak, S. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.02243 · Cited by 81
Unified Coarse-to-Fine Alignment for Video-Text Retrieval
Wang, Z., Sung, Y.-L., Cheng, F., Bertasius, G., & Bansal, M. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00264 · Cited by 80
Knowledge Aware Semantic Concept Expansion for Image-Text Matching
Shi, B., Ji, L., Lu, P., Niu, Z., & Duan, N. (2019) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2019/720 · Cited by 81
A New Benchmark and Approach for Fine-grained Cross-media Retrieval
He, X., Peng, Y., & Liu, X. (2019) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3343031.3350974 · Cited by 78
Self-citationAdaptive Offline Quintuplet Loss for Image-Text Matching
Chen, T., Deng, J., & Luo, J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58601-0_33 · Cited by 77
Cross-Modal Image-Text Retrieval with Semantic Consistency
Chen, H., Ding, G., Lin, Z., Zhao, S., & Han, J. (2019) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3343031.3351055 · Cited by 76
Zhang, S., Jiang, T., Wang, T., Kuang, K., Zhao, Z., Zhu, J., Yu, J., Yang, H., & Wu, F. (2020) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3394171.3413518 · Cited by 77
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Rahman, T., Chou, S.-H., Sigal, L., & Carenini, G. (2021) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw53098.2021.00181 · Cited by 74
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Chen, Y., & Bazzani, L. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58542-6_9 · Cited by 74
CAAN: Context-Aware attention network for visual question answering
Chen, C., Han, D., & Chang, C. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.108980 · Cited by 75
USER: Unified Semantic Enhancement With Momentum Contrast for Image-Text Retrieval
Zhang, Y., Ji, Z., Wang, D., Pang, Y., & Li, X. (2024) · IEEE Transactions on Image Processing · doi:10.1109/tip.2023.3348297 · Cited by 78
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Messina, N., Falchi, F., Esuli, A., & Amato, G. M. (2021) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr48806.2021.9413172 · Cited by 73
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Ma, L., Kang, H., Yu, G., Li, Q., & He, Q. (2024) · IEEE Transactions on Computers · doi:10.1109/tc.2024.3365949 · Cited by 75
Multilanguage Transformer for Improved Text to Remote Sensing Image Retrieval
Rahhal, M. M. A., Bazi, Y., Alsharif, N. A., Bashmal, L., Alajlan, N., & Melgani, F. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3215803 · Cited by 75
Wu, P., He, X., Tang, M., Lv, Y., & Liu, J. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475515 · Cited by 70
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Chen, T., & Luo, J. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6631 · Cited by 69
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Lin, J., An, Y., Zhang, Y., Liu, J., Zhou, J., & Yang, H. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.13198 · Cited by 86
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Xu, W. X., Cao, Y., & Chen, R. (2023) · Decision Support Systems · doi:10.1016/j.dss.2023.114104 · Cited by 68
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Li, Y., Yu, J., Cai, Z., & Pan, Y. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00540 · Cited by 69
Bi, Y., Abrol, A., Fu, Z., & Calhoun, V. D. (2024) · Human Brain Mapping · doi:10.1002/hbm.26783 · Cited by 64
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Zha, Z.-J., Liu, J., Chen, D., & Wu, F. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.2972168 · Cited by 63
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Show, Recall, and Tell: Image Captioning with Recall Mechanism
Wang, L., Bai, Z., Zhang, Y., & Lu, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6898 · Cited by 61
Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension
Chen, Z., Wang, P., Ma, L., Wong, K.-Y. K., & Wu, Q. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.01010 · Cited by 64
MCRN: A Multi-source Cross-modal Retrieval Network for remote sensing
Yuan, Z., Zhang, W., Tian, C., Mao, Y., Zhou, R., Wang, H., Fu, K., & Sun, X. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.103071 · Cited by 61
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval
Cheng, M., Jing, L., & Ng, M. K. (2020) · ACM Transactions on Information Systems · doi:10.1145/3389547 · Cited by 59
TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Jiang, M., Huang, Q., Zhang, L., Wang, X., Zhang, P., Gan, Z., Diesner, J., & Gao, J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · doi:10.18653/v1/d19-1220 · Cited by 59
Fang, W., Love, P. E. D., Ding, L., Xu, S., Kong, T., & Li, H. (2021) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2021.3093166 · Cited by 58
Multi-View Visual Semantic Embedding
Li, Z., Guo, C., Feng, Z., Hwang, J., & Xue, X. (2022) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2022/158 · Cited by 59
Cross-Modal Variational Auto-Encoder for Content-Based Micro-Video Background Music Recommendation
Yi, J., Zhu, Y., Xie, J., & Chen, Z. (2021) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2021.3128254 · Cited by 58
Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval
Ge, X., Chen, F., Jose, J. M., Ji, Z., Wu, Z., & Liu, X. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475634 · Cited by 58
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Metadata
- Authors
- Lee, K.-H., Chen, X., Hua, G., Hu, H., & He, X.
- Affiliations
- Microsoft (United States) (US)
- Jingdong (China) (CN)
- Corresponding author
- Lee, Kuang-Huei
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 212-228
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2962964995
- Cited by
- 1,402
- References
- 45
- Citations by year
- 2026: 104 · 2025: 202 · 2024: 244 · 2023: 241 · 2022: 201 · 2021: 211 · 2020: 131 · 2019: 63 · 2018: 5
- FWCI
- 30.89
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- image-text matching, cross-attention, vision-language alignment, image retrieval, text retrieval, interpretability, MS COCO, Flickr30k
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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