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# Who cites «EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference»

56 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/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/)

1. [E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding](https://arxiv.org/abs/2609.33530) *— 2026 · arXiv:2609.33530*
2. [Evaluating Numeracy of Language Models as a Natural Language Inference Task](https://aclanthology.org/2025.findings-naacl.467/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
3. [Number Cookbook: Number Understanding of Language Models and How to Improve It](https://arxiv.org/abs/2411.03766) *— 2024 · arXiv:2411.03766*
4. [SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials](https://aclanthology.org/2024.semeval-1.271/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
5. [SemEval-2024 Task 7: Numeral-Aware Language Understanding and Generation](https://aclanthology.org/2024.semeval-1.213/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
6. [Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models](https://aclanthology.org/2024.eacl-long.27/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [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)*
8. [A Survey of Deep Learning for Mathematical Reasoning](https://aclanthology.org/2023.acl-long.817/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Improving Numeracy by Input Reframing and Quantitative Pre-Finetuning Task](https://aclanthology.org/2023.findings-eacl.4/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
10. [Intégration du raisonnement numérique dans les modèles de langue : État de l''art et direction de recherche](https://aclanthology.org/2023.jeptalnrecital-coria.11/) *— 2023 · Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA)*
11. [NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports](https://aclanthology.org/2023.emnlp-main.1041/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
12. [Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models](https://aclanthology.org/2023.emnlp-main.38/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
13. [SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data](https://aclanthology.org/2023.semeval-1.307/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
14. [Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference](https://aclanthology.org/2023.nlrse-1.12/) *— 2023 · Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)*
15. [ANLIzing the Adversarial Natural Language Inference Dataset](https://aclanthology.org/2022.scil-1.3/) *— 2022 · Proceedings of the Society for Computation in Linguistics 2022*
16. [Chaining Simultaneous Thoughts for Numerical Reasoning](https://aclanthology.org/2022.findings-emnlp.187/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
17. [EvEntS ReaLM: Event Reasoning of Entity States via Language Models](https://aclanthology.org/2022.emnlp-main.129/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
18. [LILA: A Unified Benchmark for Mathematical Reasoning](https://aclanthology.org/2022.emnlp-main.392/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
19. [Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context](https://aclanthology.org/2022.findings-naacl.2/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
20. [NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks](https://aclanthology.org/2022.acl-long.246/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Reasoning Like Program Executors](https://aclanthology.org/2022.emnlp-main.48/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
22. [Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences](https://aclanthology.org/2022.findings-emnlp.252/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
23. [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*
24. [Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI](https://aclanthology.org/2021.emnlp-main.303/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
25. [IndoNLI: A Natural Language Inference Dataset for Indonesian](https://aclanthology.org/2021.emnlp-main.821/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
26. [Investigating the Limitations of Transformers with Simple Arithmetic Tasks](https://arxiv.org/abs/2102.13019) *— 2021 · arXiv:2102.13019*
27. [Numerical reasoning in machine reading comprehension tasks: are we there yet?](https://aclanthology.org/2021.emnlp-main.759/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
28. [Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?](https://aclanthology.org/2021.eacl-main.295/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
29. [Representing Numbers in NLP: a Survey and a Vision](https://aclanthology.org/2021.naacl-main.53/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
30. [Robustness Gym: Unifying the NLP Evaluation Landscape](https://aclanthology.org/2021.naacl-demos.6/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations*
31. [UnNatural Language Inference](https://aclanthology.org/2021.acl-long.569/) *— 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)*
32. [An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference](https://aclanthology.org/2020.conll-1.48/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
33. [ConjNLI: Natural Language Inference Over Conjunctive Sentences](https://aclanthology.org/2020.emnlp-main.661/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
34. [Injecting Numerical Reasoning Skills into Language Models](https://aclanthology.org/2020.acl-main.89/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
35. [The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions](https://aclanthology.org/2020.emnlp-main.659/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
36. [Do NLP Models Know Numbers? Probing Numeracy in Embeddings](https://aclanthology.org/D19-1534/) *— 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)*
37. [Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension](https://aclanthology.org/D19-1609/) *— 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)*
38. alameldin-2023-clemson-nlp-semeval-2023-task
39. bruyn-2022-20q-overlap-free-world-knowledge
40. chen-2024-ynu-hpcc-semeval-2024-task
41. chow-2023-travlr-now-you-see-it
42. delbari-2025-beyond-accuracy-revisiting-out-distribution
43. dinu-2020-joint-translation-unit-conversion-end
44. he-2024-infrrd-ai-semeval-2024-task
45. kalantari-2024-mamet-semeval-2024-task-7
46. kurosawa-2022-logical-inference-counting-semi-structured
47. liang-2024-bit-numeval-semeval-2024-task
48. nourbakhsh-2022-improving-compositional-generalization-multi-step
49. rajamanickam-2023-i2r-semeval-2023-task-7
50. sengupta-2024-hijli-ju-semeval-2024-task
51. smilga-2024-tuduo-semeval-2024-task-2
52. spokoyny-2022-numerical-correlation-text
53. varshney-2022-let-model-decide-its-curriculum
54. vassileva-2023-fmi-su-semeval-2023-task
55. veerendranath-2024-calc-cmu-semeval-2024-task
56. yanaka-2023-medical-visual-textual-entailment-numerical
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