Who cites «EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference»
- E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding — 2026 · arXiv:2609.33530
- Evaluating Numeracy of Language Models as a Natural Language Inference Task — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- Number Cookbook: Number Understanding of Language Models and How to Improve It — 2024 · arXiv:2411.03766
- SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials — 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
- SemEval-2024 Task 7: Numeral-Aware Language Understanding and Generation — 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
- Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- A Survey of Deep Learning for Mathematical Reasoning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Improving Numeracy by Input Reframing and Quantitative Pre-Finetuning Task — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Intégration du raisonnement numérique dans les modèles de langue : État de l''art et direction de recherche — 2023 · Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA)
- NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data — 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
- Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference — 2023 · Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)
- ANLIzing the Adversarial Natural Language Inference Dataset — 2022 · Proceedings of the Society for Computation in Linguistics 2022
- Chaining Simultaneous Thoughts for Numerical Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- EvEntS ReaLM: Event Reasoning of Entity States via Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- LILA: A Unified Benchmark for Mathematical Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Reasoning Like Program Executors — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- IndoNLI: A Natural Language Inference Dataset for Indonesian — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Investigating the Limitations of Transformers with Simple Arithmetic Tasks — 2021 · arXiv:2102.13019
- Numerical reasoning in machine reading comprehension tasks: are we there yet? — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Representing Numbers in NLP: a Survey and a Vision — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Robustness Gym: Unifying the NLP Evaluation Landscape — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
- UnNatural Language Inference — 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)
- An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference — 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning
- ConjNLI: Natural Language Inference Over Conjunctive Sentences — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Injecting Numerical Reasoning Skills into Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Do NLP Models Know Numbers? Probing Numeracy in Embeddings — 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)
- Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension — 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)
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- liang-2024-bit-numeval-semeval-2024-task
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- veerendranath-2024-calc-cmu-semeval-2024-task
- yanaka-2023-medical-visual-textual-entailment-numerical
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