---
title: "Who cites EQUATE: A Benchmark Evaluation Framework for…"
description: "The papers of the Elamur Research library that cite «EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference»…"
canonical: "https://research.elamur.ai/free/en/papers/ravichander-2019-equate-benchmark-evaluation-framework-quantitative/cited-by/"
---
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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.research.elamur.ai/free/en/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. [Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models](https://aclanthology.org/2025.conll-1.36/) *— 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning*
3. [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*
4. [Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding](https://aclanthology.org/2024.semeval-1.258/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
5. [Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models](https://aclanthology.org/2024.semeval-1.211/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
6. [HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT Models](https://aclanthology.org/2024.semeval-1.43/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
7. [Infrrd.ai at SemEval-2024 Task 7: RAG-based end-to-end training to generate headlines and numbers](https://aclanthology.org/2024.semeval-1.136/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
8. [MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model](https://aclanthology.org/2024.semeval-1.153/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
9. [Number Cookbook: Number Understanding of Language Models and How to Improve It](https://arxiv.org/abs/2411.03766) *— 2024 · arXiv:2411.03766*
10. [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)*
11. [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)*
12. [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)*
13. [TüDuo at SemEval-2024 Task 2: Flan-T5 and Data Augmentation for Biomedical NLI](https://aclanthology.org/2024.semeval-1.106/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
14. [YNU-HPCC at SemEval-2024 Task 7: Instruction Fine-tuning Models for Numerical Understanding and Generation](https://aclanthology.org/2024.semeval-1.141/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
15. [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)*
16. [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)*
17. [Clemson NLP at SemEval-2023 Task 7: Applying GatorTron to Multi-Evidence Clinical NLI](https://aclanthology.org/2023.semeval-1.220/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
18. [FMI-SU at SemEval-2023 Task 7: Two-level Entailment Classification of Clinical Trials Enhanced by Contextual Data Augmentation](https://aclanthology.org/2023.semeval-1.200/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
19. [I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial Data](https://aclanthology.org/2023.semeval-1.226/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
20. [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*
21. [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)*
22. [Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models](https://aclanthology.org/2023.clinicalnlp-1.2/) *— 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop*
23. [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*
24. [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*
25. [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)*
26. [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)*
27. [TraVLR: Now You See It, Now You Don”t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning](https://aclanthology.org/2023.eacl-main.242/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
28. [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)*
29. [ANLIzing the Adversarial Natural Language Inference Dataset](https://aclanthology.org/2022.scil-1.3/) *— 2022 · Proceedings of the Society for Computation in Linguistics 2022*
30. [Chaining Simultaneous Thoughts for Numerical Reasoning](https://aclanthology.org/2022.findings-emnlp.187/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
31. [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*
32. [Improving compositional generalization for multi-step quantitative reasoning in question answering](https://aclanthology.org/2022.emnlp-main.125/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
33. [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*
34. [Let the Model Decide its Curriculum for Multitask Learning](https://aclanthology.org/2022.deeplo-1.13/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
35. [Logical Inference for Counting on Semi-structured Tables](https://aclanthology.org/2022.acl-srw.8/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
36. [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*
37. [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)*
38. [Numerical Correlation in Text](https://aclanthology.org/2022.mathnlp-1.5/) *— 2022 · Proceedings of the 1st Workshop on Mathematical Natural Language Processing (MathNLP)*
39. [Reasoning Like Program Executors](https://aclanthology.org/2022.emnlp-main.48/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
40. [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*
41. [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*
42. [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*
43. [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*
44. [Investigating the Limitations of Transformers with Simple Arithmetic Tasks](https://arxiv.org/abs/2102.13019) *— 2021 · arXiv:2102.13019*
45. [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*
46. [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*
47. [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*
48. [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*
49. [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)*
50. [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*
51. [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)*
52. [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*
53. [Joint Translation and Unit Conversion for End-to-end Localization](https://aclanthology.org/2020.iwslt-1.32/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
54. [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)*
55. [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)*
56. [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)*