---
title: "Who cites TORQUE: A Reading Comprehension Dataset of…"
description: "The papers of the Elamur Research library that cite «TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/cited-by/"
---
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# Who cites «TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions»

68 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)

1. [Chronocept: Instilling a Sense of Time in Machines](https://aclanthology.org/2026.eacl-srw.32/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
2. [It”s High Time: A Survey of Temporal Question Answering](https://aclanthology.org/2026.acl-long.1332/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [TimeRes: A Turkish Benchmark For Evaluating Temporal Understanding of Large Language Models](https://aclanthology.org/2026.eacl-srw.67/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
4. [Aligning to Constraints for Data-Efficient Language Model Customization](https://aclanthology.org/2025.findings-naacl.294/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
5. [ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events](https://aclanthology.org/2025.acl-short.46/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
6. [ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering](https://aclanthology.org/2025.emnlp-main.463/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
7. [Consistent Discourse-level Temporal Relation Extraction Using Large Language Models](https://aclanthology.org/2025.findings-emnlp.1010/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
8. [DP-Ens DurationQA: Dual-Prompt Fine-Tuning with Log-Probability Ensemble for Duration Question Answering](https://aclanthology.org/2025.vlsp-1.42/) *— 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing*
9. [EventRelBench: A Comprehensive Benchmark for Evaluating Event Relation Understanding in Large Language Models](https://aclanthology.org/2025.findings-emnlp.482/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
10. [Extracting Military Event Temporal Relations via Relative Event Time Prediction and Virtual Adversarial Training](https://aclanthology.org/2025.findings-naacl.182/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
11. [LLM-Symbolic Integration for Robust Temporal Tabular Reasoning](https://aclanthology.org/2025.findings-acl.1022/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
12. [Leveraging LLM For Synchronizing Information Across Multilingual Tables](https://aclanthology.org/2025.naacl-long.329/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
13. [Robust Vietnamese Date-Arithmetic Question Answering through QDoRA Fine-Tuning and Canonicalized Decoding](https://aclanthology.org/2025.vlsp-1.40/) *— 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing*
14. [TRANSIENTTABLES: Evaluating LLMs” Reasoning on Temporally Evolving Semi-structured Tables](https://aclanthology.org/2025.naacl-long.332/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
15. [Temporal Relation Classification: An XAI Perspective](https://aclanthology.org/2025.nodalida-1.72/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
16. [Temporal reasoning for timeline summarisation in social media](https://aclanthology.org/2025.acl-long.1362/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs” Memorization](https://aclanthology.org/2025.acl-long.94/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [VLSP 2025 Shared Task: Vietnamese Temporal Question Answering (TemporalQA)](https://aclanthology.org/2025.vlsp-1.35/) *— 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing*
19. [Chaining Event Spans for Temporal Relation Grounding](https://aclanthology.org/2024.eacl-long.101/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [DocScript: Document-level Script Event Prediction](https://aclanthology.org/2024.lrec-main.458/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
21. [Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning](https://aclanthology.org/2024.findings-naacl.244/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
22. [QA-based Event Start-Points Ordering for Clinical Temporal Relation Annotation](https://aclanthology.org/2024.lrec-main.1171/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
23. [Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding](https://aclanthology.org/2024.naacl-tutorials.6/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts)*
24. [Temporal Validity Change Prediction](https://aclanthology.org/2024.findings-acl.84/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
25. [An Overview Of Temporal Commonsense Reasoning and Acquisition](https://arxiv.org/abs/2308.00002) *— 2023 · arXiv:2308.00002*
26. [Benchmarks for Automated Commonsense Reasoning: A Survey](https://arxiv.org/abs/2302.04752) *— 2023 · arXiv:2302.04752*
27. [Context Helps Determine Spatial Knowledge from Tweets](https://aclanthology.org/2023.findings-ijcnlp.13/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
28. [Event Temporal Relation Extraction with Bayesian Translational Model](https://aclanthology.org/2023.eacl-main.80/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
29. [Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation](https://aclanthology.org/2023.acl-long.815/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Generic Temporal Reasoning with Differential Analysis and Explanation](https://aclanthology.org/2023.acl-long.671/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning](https://arxiv.org/abs/2305.16646) *— 2023 · arXiv:2305.16646*
32. [MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document](https://aclanthology.org/2023.findings-emnlp.1016/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
33. [TempTabQA: Temporal Question Answering for Semi-Structured Tables](https://aclanthology.org/2023.emnlp-main.149/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
34. [Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models](https://aclanthology.org/2023.acl-long.828/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [20Q: Overlap-Free World Knowledge Benchmark for Language Models](https://aclanthology.org/2022.gem-1.46/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
36. [DCT-Centered Temporal Relation Extraction](https://aclanthology.org/2022.coling-1.182/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
37. [DocTime: A Document-level Temporal Dependency Graph Parser](https://aclanthology.org/2022.naacl-main.73/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
38. [Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation](https://aclanthology.org/2022.findings-emnlp.176/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
39. [Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts](https://aclanthology.org/2022.naacl-main.104/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
40. [How about Time? Probing a Multilingual Language Model for Temporal Relations](https://aclanthology.org/2022.coling-1.283/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
41. [Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning](https://aclanthology.org/2022.ccl-1.76/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
42. [Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs](https://aclanthology.org/2022.acl-long.552/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts](https://aclanthology.org/2022.emnlp-main.142/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
44. [Time-Aware Language Models as Temporal Knowledge Bases](https://aclanthology.org/2022.tacl-1.15/) *— 2022*
45. [Toward Building a Language Model for Understanding Temporal Commonsense](https://aclanthology.org/2022.aacl-srw.3/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop*
46. [Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding](https://aclanthology.org/2022.naacl-main.28/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
47. [What Makes Reading Comprehension Questions Difficult?](https://aclanthology.org/2022.acl-long.479/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [A Dataset for Answering Time-Sensitive Questions](https://arxiv.org/abs/2108.06314) *— 2021 · arXiv:2108.06314*
49. [Benchmarking Machine Reading Comprehension: A Psychological Perspective](https://aclanthology.org/2021.eacl-main.137/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
50. [COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences](https://aclanthology.org/2021.findings-acl.78/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
51. [Conditional Generation of Temporally-ordered Event Sequences](https://aclanthology.org/2021.acl-long.555/) *— 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)*
52. [Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation](https://aclanthology.org/2021.emnlp-main.756/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
53. [ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations](https://aclanthology.org/2021.emnlp-main.597/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
54. [Extracting Event Temporal Relations via Hyperbolic Geometry](https://aclanthology.org/2021.emnlp-main.636/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
55. [Extracting Temporal Event Relation with Syntax-guided Graph Transformer](https://arxiv.org/abs/2104.09570) *— 2021 · arXiv:2104.09570*
56. [ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data](https://aclanthology.org/2021.acl-long.357/) *— 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)*
57. [Neural Language Modeling for Contextualized Temporal Graph Generation](https://aclanthology.org/2021.naacl-main.67/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
58. [Probing Language Models for Understanding of Temporal Expressions](https://aclanthology.org/2021.blackboxnlp-1.31/) *— 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
59. [SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning](https://md.research.elamur.ai/free/en/papers/mirzaee-2021-spartqa-textual-question-answering-benchmark/) *— our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
60. [Salience-Aware Event Chain Modeling for Narrative Understanding](https://aclanthology.org/2021.emnlp-main.107/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
61. [TIMEDIAL: Temporal Commonsense Reasoning in Dialog](https://aclanthology.org/2021.acl-long.549/) *— 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)*
62. [TIMERS: Document-level Temporal Relation Extraction](https://aclanthology.org/2021.acl-short.67/) *— 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)*
63. [Temporal Reasoning on Implicit Events from Distant Supervision](https://aclanthology.org/2021.naacl-main.107/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
64. [What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?](https://aclanthology.org/2021.acl-long.98/) *— 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)*
65. [“Nice Try, Kiddo”: Investigating Ad Hominems in Dialogue Responses](https://aclanthology.org/2021.naacl-main.60/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
66. [ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning](https://arxiv.org/abs/2012.15283) *— 2020 · arXiv:2012.15283*
67. [Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ](https://aclanthology.org/2020.emnlp-demos.17/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
68. [Temporal Reasoning in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*