---
title: "Who cites Kenneth D. Forbus — 182 papers of our library"
description: "182 papers of the Elamur Research library cite the works of Kenneth D. Forbus, found in their bibliographies; the most cited first."
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---
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# Who cites Kenneth D. Forbus

184 citations of their works from 182 papers of our library (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · [← Kenneth D. Forbus](https://md.research.elamur.ai/free/en/authors/kenneth-d-forbus/)

1. **[Analogical mapping by constraint satisfaction](https://md.research.elamur.ai/free/en/papers/holyoak-1989-analogical-mapping-constraint-satisfaction/) [Cognitive Science](https://md.research.elamur.ai/free/en/venues/cognitive-science/)**Keith J. Holyoak, Paul Thagard*1989 · 1,272 citations*
2. [**Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning arXiv:1709.00103**Victor Zhong, Caiming Xiong, Richard Socher*2017 · 1,226 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2017-seq2sql-generating-structured-queries-natural/)
3. [**DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs**Dheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.*2019 · 960 citations*](https://md.research.elamur.ai/free/en/papers/dua-2019-drop-reading-comprehension-benchmark-requiring/)
4. **[MAC/FAC: A model of similarity-based retrieval](https://md.research.elamur.ai/free/en/papers/forbus-1995-mac-fac-model-similarity-based/) [Cognitive Science](https://md.research.elamur.ai/free/en/venues/cognitive-science/)**Kenneth D. Forbus, Dedre Gentner, Keith Law*1995 · 742 citations*
5. **[Inferring and Executing Programs for Visual Reasoning](https://md.research.elamur.ai/free/en/papers/johnson-2017-inferring-executing-programs-visual-reasoning/) [IEEE International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/)**Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.*2017 · 557 citations*
6. [**TabFact: A Large-scale Dataset for Table-based Fact Verification arXiv:1909.02164**Wenhu Chen, Hongmin Wang, Jianshu Chen, et al.*2019 · 515 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-tabfact-large-scale-dataset-table/)
7. **[Search-based Neural Structured Learning for Sequential Question Answering](https://md.research.elamur.ai/free/en/papers/iyyer-2017-search-based-neural-structured-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang*2017 · 330 citations*
8. **[Similarity of Semantic Relations](https://md.research.elamur.ai/free/en/papers/turney-2006-similarity-semantic-relations/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Peter D. Turney*2006 · 276 citations*
9. **[A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations](https://md.research.elamur.ai/free/en/papers/turney-2008-uniform-approach-analogies-synonyms-antonyms/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Peter Turney*2008 · 264 citations*
10. **[A Discrete Hard EM Approach for Weakly Supervised Question Answering](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 237 citations*
11. **[From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kelvin Guu, Panupong Pasupat, Evan Liu, et al.*2017 · 236 citations*
12. **[ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2022-convfinqa-exploring-chain-numerical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhiyu Chen, Shiyang Li, Charese Smiley, et al.*2022 · 172 citations*
13. [**Binding Language Models in Symbolic Languages arXiv:2210.02875**Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.*2022 · 170 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/)
14. [**Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models arXiv:2312.06585**Avi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/singh-2023-human-data-scaling-self-training/)
15. [**HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation arXiv:2108.06712**Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, et al.*2021 · 108 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2021-hitab-hierarchical-table-dataset-question/)
16. [**Learning a Natural Language Interface with Neural Programmer arXiv:1611.08945**Arvind Neelakantan, Quoc V. Le, Martin Abadi, et al.*2016 · 79 citations*](https://md.research.elamur.ai/free/en/papers/neelakantan-2016-learning-natural-language-interface-neural/)
17. **[Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/kreutzer-2018-reliability-learnability-human-bandit-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Julia Kreutzer, Joshua Uyheng, Stefan Riezler*2018 · 73 citations*
18. **[Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback](https://md.research.elamur.ai/free/en/papers/lawrence-2018-improving-neural-semantic-parser-counterfactual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Carolin Lawrence, Stefan Riezler*2018 · 68 citations*
19. **[Macro Grammars and Holistic Triggering for Efficient Semantic Parsing](https://md.research.elamur.ai/free/en/papers/zhang-2017-macro-grammars-holistic-triggering-efficient/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuchen Zhang, Panupong Pasupat, Percy Liang*2017 · 67 citations*
20. **[Learning an Executable Neural Semantic Parser](https://md.research.elamur.ai/free/en/papers/cheng-2019-learning-executable-neural-semantic-parser/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Jianpeng Cheng, Siva Reddy, Vijay Saraswat, et al.*2019 · 63 citations*
21. [**Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions arXiv:2205.14318**Ansong Ni, Jeevana Priya Inala, Chenglong Wang, et al.*2022 · 39 citations*](https://md.research.elamur.ai/free/en/papers/ni-2022-learning-math-reasoning-self-sampled/)
22. **[Metaphor in Textual Entailment](https://md.research.elamur.ai/free/en/papers/agerri-2008-metaphor-textual-entailment/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Rodrigo Agerri*2008 · 32 citations*
23. **[Textual Entailment as an Evaluation Framework for Metaphor Resolution: A Proposal](https://md.research.elamur.ai/free/en/papers/agerri-2008-textual-entailment-as-evaluation-framework/) [Semantics in Text Processing. STEP Conference Proceedings](https://md.research.elamur.ai/free/en/venues/semantics-in-text-processing-step-conference-proceedings/)**Rodrigo Agerri, John Barnden, Mark Lee, et al.*2008 · 6 citations*
24. **[Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research](https://md.research.elamur.ai/free/en/papers/petersen-2026-modelling-analogies-analogical-reasoning-connecting/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Molly R. Petersen, Claire E. Stevenson, Lonneke van der Plas*2026 · 1 citation*
25. **[CHIMERA: A Knowledge Base of Scientific Idea Recombinations for Research Analysis and Ideation](https://md.research.elamur.ai/free/en/papers/sternlicht-2026-chimera-knowledge-base-scientific-idea/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Noy Sternlicht, Tom Hope*2026*

157 more citing papers of our library have no page here yet.

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