Who cites «Are NLP Models really able to Solve Simple Math Word Problems?» · page 5
- Large language models are zero-shot reasoners — 2022
- Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers — 2022 · AAAI 2022 demo (arXiv 2109.00799)
- Mind''s Eye: Grounded Language Model Reasoning through Simulation — 2022 · arXiv:2210.05359
- Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- PAL: Program-aided Language Models — 2022 · arXiv:2211.10435
- PaLM: Scaling Language Modeling with Pathways — 2022 · arXiv:2204.02311
- PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change — 2022 · arXiv:2206.10498
- Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks — 2022 · arXiv:2211.12588
- Reasoning Like Program Executors — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Reasoning with Language Model Prompting: A Survey — 2022 · arXiv:2212.09597
- Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- Self-Consistency Improves Chain of Thought Reasoning in Language Models — 2022 · arXiv:2203.11171
- Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- UL2: Unifying Language Learning Paradigms — 2022 · arXiv:2205.05131
- Unbiased Math Word Problems Benchmark for Mitigating Solving Bias — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- Why are NLP Models Fumbling at Elementary Math? A Survey of Deep Learning based Word Problem Solvers — 2022 · arXiv 2205.15683
- NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- 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
- Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems — 2021 · arXiv 2111.05364
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