---
title: "Who cites Raymond J. Mooney — page 2 — 1,306 citing papers"
description: "1,306 papers of the Elamur Research library cite the works of Raymond J. Among them: Language to Code: Learning Semantic Parsers for…"
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# Who cites Raymond J. Mooney

1,586 citations of their works from 1,306 papers of our library (of the 149,439 whose bibliographies we read) · 186 with a page here, the most cited first · page 2 of 2 · 101–186 · [← Raymond J. Mooney](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/)

[← prev](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/raymond-j-mooney/cited-by/) **2**

101. **[Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes](https://md.research.elamur.ai/free/en/papers/quirk-2015-language-code-learning-semantic-parsers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chris Quirk, Raymond Mooney, Michel Galley*2015 · 185 citations*
102. [**Semantics-Based Machine Translation with Hyperedge Replacement Grammars**Bevan Jones, Jacob Andreas, Daniel Bauer, et al.*2012 · 180 citations*](https://md.research.elamur.ai/free/en/papers/jones-2012-semantics-based-machine-translation-hyperedge/)
103. **[Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions](https://md.research.elamur.ai/free/en/papers/zhang-2019-editing-based-sql-query-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rui Zhang, Tao Yu, Heyang Er, et al.*2019 · 177 citations*
104. **[LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers](https://md.research.elamur.ai/free/en/papers/olausson-2023-linc-neurosymbolic-approach-logical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Theo X. Olausson, Alex Gu, Benjamin Lipkin, et al.*2023 · 172 citations*
105. [**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/)
106. **[Structure-Grounded Pretraining for Text-to-SQL](https://md.research.elamur.ai/free/en/papers/deng-2021-structure-grounded-pretraining-text-sql/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, et al.*2021 · 167 citations*
107. **[A Survey of Machine Learning for Big Code and Naturalness](https://md.research.elamur.ai/free/en/papers/allamanis-2017-survey-machine-learning-big-code/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.*2017 · 167 citations*
108. **[AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes](https://md.research.elamur.ai/free/en/papers/rothe-2015-autoextend-extending-word-embeddings-embeddings/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sascha Rothe, Hinrich Schütze*2015 · 167 citations*
109. [**PipeDream: Fast and Efficient Pipeline Parallel DNN Training arXiv:1806.03377**Aaron Harlap, Deepak Narayanan, Amar Phanishayee, et al.*2018 · 162 citations*](https://md.research.elamur.ai/free/en/papers/harlap-2018-pipedream-fast-efficient-pipeline-parallel/)
110. [**Semantic Neural Machine Translation Using AMR**Linfeng Song, Daniel Gildea, Yue Zhang, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/)
111. **[RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases](https://md.research.elamur.ai/free/en/papers/choi-2021-ryansql-recursively-applying-sketch-based/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**DongHyun Choi, Myeong Cheol Shin, EungGyun Kim, et al.*2021 · 157 citations*
112. **[Continual Relation Learning via Episodic Memory Activation and Reconsolidation](https://md.research.elamur.ai/free/en/papers/han-2020-continual-relation-learning-episodic-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xu Han, Yi Dai, Tianyu Gao, et al.*2020 · 152 citations*
113. [**Generation from Abstract Meaning Representation using Tree Transducers**Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al.*2016 · 152 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/)
114. **[NaturalLI: Natural Logic Inference for Common Sense Reasoning](https://md.research.elamur.ai/free/en/papers/angeli-2014-naturalli-natural-logic-inference-common/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gabor Angeli, Christopher D. Manning*2014 · 150 citations*
115. **[HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*
116. **[Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings](https://md.research.elamur.ai/free/en/papers/dusek-2016-sequence-sequence-generation-spoken-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ondřej Dušek, Filip Jurčíček*2016 · 148 citations*
117. **[Simpler Context-Dependent Logical Forms via Model Projections](https://md.research.elamur.ai/free/en/papers/long-2016-simpler-context-dependent-logical-forms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Reginald Long, Panupong Pasupat, Percy Liang*2016 · 145 citations*
118. **[Towards Robustness of Text-to-SQL Models against Synonym Substitution](https://md.research.elamur.ai/free/en/papers/gan-2021-robustness-text-sql-models-against/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yujian Gan, Xinyun Chen, Qiuping Huang, et al.*2021 · 143 citations*
119. **[Diverse Demonstrations Improve In-context Compositional Generalization](https://md.research.elamur.ai/free/en/papers/levy-2023-diverse-demonstrations-improve-context-compositional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Itay Levy, Ben Bogin, Jonathan Berant*2023 · 141 citations*
120. **[Modeling Organization in Student Essays](https://md.research.elamur.ai/free/en/papers/persing-2010-modeling-organization-student-essays/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Isaac Persing, Alan Davis, Vincent Ng*2010 · 138 citations*
121. [**Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension**Ying Xu, Dakuo Wang, Mo Yu, et al.*2022 · 137 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)
122. **[Grounded Adaptation for Zero-shot Executable Semantic Parsing](https://md.research.elamur.ai/free/en/papers/zhong-2020-grounded-adaptation-zero-shot-executable/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Victor Zhong, Mike Lewis, Sida I. Wang, et al.*2020 · 136 citations*
123. [**Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2007 · 136 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-generation-inverting-semantic-parser-that/)
124. **[Natural Language Reasoning, A Survey](https://md.research.elamur.ai/free/en/papers/yu-2023-natural-language-reasoning-survey/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Fei Yu, Hongbo Zhang, Prayag Tiwari, et al.*2023 · 130 citations*
125. [**LEVER: Learning to Verify Language-to-Code Generation with Execution arXiv:2302.08468**Ansong Ni, Srini Iyer, Dragomir Radev, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/ni-2023-lever-learning-verify-language-code/)
126. **[Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization](https://md.research.elamur.ai/free/en/papers/gan-2021-exploring-underexplored-limitations-cross-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yujian Gan, Xinyun Chen, Matthew Purver*2021 · 123 citations*
127. **[Measuring Word Meaning in Context](https://md.research.elamur.ai/free/en/papers/erk-2013-measuring-word-meaning-context/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Katrin Erk, Diana McCarthy, Nicholas Gaylord*2013 · 122 citations*
128. [**Compositional Exemplars for In-context Learning arXiv:2302.05698**Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, et al.*2023 · 120 citations*](https://md.research.elamur.ai/free/en/papers/ye-2023-compositional-exemplars-context-learning/)
129. **[Learning from Task Descriptions](https://md.research.elamur.ai/free/en/papers/weller-2020-learning-task-descriptions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orion Weller, Nicholas Lourie, Matt Gardner, et al.*2020 · 112 citations*
130. **[Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/pust-2015-parsing-english-into-abstract-meaning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Michael Pust, Ulf Hermjakob, Kevin Knight, et al.*2015 · 110 citations*
131. **[Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model](https://md.research.elamur.ai/free/en/papers/henderson-2013-multilingual-joint-parsing-syntactic-semantic/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**James Henderson, Paola Merlo, Ivan Titov, et al.*2013 · 97 citations*
132. [**SPoC: Search-based Pseudocode to Code arXiv:1906.04908**Sumith Kulal, Panupong Pasupat, Kartik Chandra, et al.*2019 · 96 citations*](https://md.research.elamur.ai/free/en/papers/kulal-2019-spoc-search-based-pseudocode-code/)
133. **[Imitation Learning of Agenda-based Semantic Parsers](https://md.research.elamur.ai/free/en/papers/berant-2015-imitation-learning-agenda-based-semantic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jonathan Berant, Percy Liang*2015 · 95 citations*
134. **[A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2012-probabilistic-model-syntactic-semantic-acquisition/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tom Kwiatkowski, Sharon Goldwater, Luke Zettlemoyer, et al.*2012 · 92 citations*
135. **[Representing Meaning with a Combination of Logical and Distributional Models](https://md.research.elamur.ai/free/en/papers/beltagy-2016-representing-meaning-combination-logical-distributional/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**I. Beltagy, Stephen Roller, Pengxiang Cheng, et al.*2016 · 89 citations*
136. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/)
137. **[Selectively Answering Ambiguous Questions](https://md.research.elamur.ai/free/en/papers/cole-2023-selectively-answering-ambiguous-questions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jeremy Cole, Michael Zhang, Daniel Gillick, et al.*2023 · 84 citations*
138. [**Doubly-Attentive Decoder for Multi-modal Neural Machine Translation arXiv:1702.01287**Iacer Calixto, Qun Liu, Nick Campbell*2017 · 82 citations*](https://md.research.elamur.ai/free/en/papers/calixto-2017-doubly-attentive-decoder-multi-modal/)
139. [**Large Language Models in Law: A Survey arXiv:2312.03718**Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.*2023 · 80 citations*](https://md.research.elamur.ai/free/en/papers/lai-2023-large-language-models-law-survey/)
140. [**Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations arXiv:2303.18027**Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, et al.*2023 · 77 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2023-evaluating-gpt-4-chatgpt-japanese/)
141. **[Improving Compositional Generalization with Latent Structure and Data Augmentation](https://md.research.elamur.ai/free/en/papers/qiu-2022-improving-compositional-generalization-latent-structure/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Linlu Qiu, Peter Shaw, Panupong Pasupat, et al.*2022 · 76 citations*
142. **[Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses](https://md.research.elamur.ai/free/en/papers/soler-2021-let-s-play-mono-poly/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Aina Garí Soler, Marianna Apidianaki*2021 · 75 citations*
143. **[A Bayesian Model of Grounded Color Semantics](https://md.research.elamur.ai/free/en/papers/mcmahan-2015-bayesian-model-grounded-color-semantics/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Brian McMahan, Matthew Stone*2015 · 75 citations*
144. **[Weakly Supervised Training of Semantic Parsers](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2012-weakly-supervised-training-semantic-parsers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jayant Krishnamurthy, Tom Mitchell*2012 · 70 citations*
145. **[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*
146. **[Multi-Relational Script Learning for Discourse Relations](https://md.research.elamur.ai/free/en/papers/lee-2019-multi-relational-script-learning-discourse/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**I-Ta Lee, Dan Goldwasser*2019 · 66 citations*
147. **[Learning to Identify Arabic and German Dialects using Multiple Kernels](https://md.research.elamur.ai/free/en/papers/ionescu-2017-learning-identify-arabic-german-dialects/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Radu Tudor Ionescu, Andrei Butnaru*2017 · 64 citations*
148. **[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*
149. [**In-context Learning with Retrieved Demonstrations for Language Models: A Survey arXiv:2401.11624**Man Luo, Xin Xu, Yue Liu, et al.*2024 · 54 citations*](https://md.research.elamur.ai/free/en/papers/luo-2024-context-learning-retrieved-demonstrations-language/)
150. **[UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels](https://md.research.elamur.ai/free/en/papers/ionescu-2016-unibuckernel-approach-arabic-dialect-identification/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Radu Tudor Ionescu, Marius Popescu*2016 · 53 citations*
151. **[On-demand Injection of Lexical Knowledge for Recognising Textual Entailment](https://md.research.elamur.ai/free/en/papers/gomez-2017-demand-injection-lexical-knowledge-recognising/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, et al.*2017 · 52 citations*
152. **[From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Marianna Apidianaki*2023 · 49 citations*
153. **[Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language Models](https://md.research.elamur.ai/free/en/papers/haber-2024-polysemy-evidence-linguistics-behavioral-science/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Janosch Haber, Massimo Poesio*2024 · 44 citations*
154. **[Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2015-learning-compositional-semantics-freebase-open/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jayant Krishnamurthy, Tom M. Mitchell*2015 · 41 citations*
155. **[A Systematic Survey of Automatic Prompt Optimization Techniques](https://md.research.elamur.ai/free/en/papers/ramnath-2025-systematic-survey-automatic-prompt-optimization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kiran Ramnath, Kang Zhou, Sheng Guan, et al.*2025 · 40 citations*
156. **[UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row](https://md.research.elamur.ai/free/en/papers/butnaru-2018-unibuckernel-reloaded-first-place-arabic/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Andrei Butnaru, Radu Tudor Ionescu*2018 · 39 citations*
157. **[Annotating and Learning Event Durations in Text](https://md.research.elamur.ai/free/en/papers/pan-2011-annotating-learning-event-durations-text/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Feng Pan, Rutu Mulkar-Mehta, Jerry R. Hobbs*2011 · 39 citations*
158. **[Integrating Deep Event-Level and Script-Level Information for Script Event Prediction](https://md.research.elamur.ai/free/en/papers/bai-2021-integrating-deep-event-level-script/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Long Bai, Saiping Guan, Jiafeng Guo, et al.*2021 · 36 citations*
159. [**Ontology-Aware Token Embeddings for Prepositional Phrase Attachment**Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al.*2017 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2017-ontology-aware-token-embeddings-prepositional/)
160. **[Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning](https://md.research.elamur.ai/free/en/papers/luong-2013-parsing-entire-discourses-as-very/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Minh-Thang Luong, Michael C. Frank, Mark Johnson*2013 · 28 citations*
161. **[Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs](https://md.research.elamur.ai/free/en/papers/chen-2023-two-failures-self-consistency-multi/) [Transactions on Machine Learning Research](https://md.research.elamur.ai/free/en/venues/transactions-on-machine-learning-research/)**Angelica Chen, Jason Phang, Alicia Parrish, et al.*2023 · 25 citations*
162. [**Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories**Sina Zarrieß, David Schlangen*2019 · 24 citations*](https://md.research.elamur.ai/free/en/papers/zarriess-2019-know-what-you-don-t/)
163. **[Weakly-Supervised Modeling of Contextualized Event Embedding for Discourse Relations](https://md.research.elamur.ai/free/en/papers/lee-2020-weakly-supervised-modeling-contextualized-event/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**I-Ta Lee, Maria Leonor Pacheco, Dan Goldwasser*2020 · 23 citations*
164. **[Whodunnit? Crime Drama as a Case for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/frermann-2018-whodunnit-crime-drama-as-case/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lea Frermann, Shay B. Cohen, Mirella Lapata*2018 · 22 citations*
165. [**Large Scale Substitution-based Word Sense Induction**Matan Eyal, Shoval Sadde, Hillel Taub-Tabib, et al.*2022 · 21 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2022-substitution-wsi/)
166. **[Complementary Strategies for Low Resourced Morphological Modeling](https://md.research.elamur.ai/free/en/papers/erdmann-2018-complementary-strategies-low-resourced-morphological/) [Workshop on Computational Research in Phonetics, Phonology, and Morphology](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-research-in-phonetics-phonology-and-morphology/)**Alexander Erdmann, Nizar Habash*2018 · 18 citations*
167. **[STaR-SQL: Self-Taught Reasoner for Text-to-SQL](https://md.research.elamur.ai/free/en/papers/he-2025-star-sql-self-taught-reasoner/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingqian He, Yongliang Shen, Wenqi Zhang, et al.*2025 · 17 citations*
168. **[NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries](https://md.research.elamur.ai/free/en/papers/zhang-2024-naturalcodebench-examining-coding-performance-mismatch/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shudan Zhang, Hanlin Zhao, Xiao Liu, et al.*2024 · 17 citations*
169. [**Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds**Igor Labutov, Bishan Yang, Anusha Prakash, et al.*2018 · 17 citations*](https://md.research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/)
170. [**Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection arXiv:2405.02318**Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/lalwani-2024-autoformalizing-natural-language-first-order/)
171. [**Zero and Few-shot Semantic Parsing with Ambiguous Inputs arXiv:2306.00824**Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/stengel-eskin-2023-zero-few-shot-semantic-parsing/)
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