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# Who cites «STARC: Structured Annotations for Reading Comprehension»

19 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/berzak-2020-starc-structured-annotations-reading-comprehension/)

1. [Decoding Reading Goals from Eye Movements](https://aclanthology.org/2025.acl-long.280/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios](https://arxiv.org/abs/2505.12891) *— 2025 · arXiv:2505.12891*
3. [Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding](https://aclanthology.org/2024.acl-long.87/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models](https://aclanthology.org/2024.readi-1.3/) *— 2024 · Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024*
5. [Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension](https://aclanthology.org/2024.tacl-1.24/) *— 2024 · Transactions of the Association for Computational Linguistics*
6. [Fine-Grained Prediction of Reading Comprehension from Eye Movements](https://aclanthology.org/2024.emnlp-main.198/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
7. [The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading](https://aclanthology.org/2024.conll-1.17/) *— 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning*
8. [tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework](https://aclanthology.org/2024.lrec-main.1361/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
9. [Long-Tailed Question Answering in an Open World](https://aclanthology.org/2023.acl-long.351/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Predicting Text Readability from Scrolling Interactions](https://aclanthology.org/2021.conll-1.30/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
11. [Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models](https://aclanthology.org/2021.acl-short.43/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
12. [Bridging Information-Seeking Human Gaze and Machine Reading Comprehension](https://aclanthology.org/2020.conll-1.11/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
13. ding-2025-modeling-bottom-up-information-quality
14. goncalves-2026-luxdiagrc-diagnostic-reading-comprehension-corpus
15. lee-2026-automatic-evaluation-multiple-choice-items
16. meiri-2025-deja-vu-decoding-repeated-reading
17. sugawara-2023-degrees-freedom-defining-testing-natural
18. xiao-2025-scop-evaluating-comprehension-process-large
19. zhang-2025-xfinbench-benchmarking-llms-complex-financial
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