---
title: "Luke Zettlemoyer — all 373 works in our library, page 2"
description: "All 373 works of Luke Zettlemoyer in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Luke Zettlemoyer — all works

373 works · page 2 of 4 · 101–200 · [← Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/)

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101. [**RA-DIT: Retrieval-Augmented Dual Instruction Tuning arXiv:2310.01352**Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.*2023 · 149 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-ra-dit-retrieval-augmented-dual/)
102. [**Large-Scale QA-SRL Parsing**Nicholas FitzGerald, Julian Michael, Luheng He, et al.*English · 143 citations*](https://md.research.elamur.ai/free/en/papers/fitzgerald-2018-large-scale-qa-srl-parsing/)
103. **[Syntactic Scaffolds for Semantic Structures ↗](https://aclanthology.org/D18-1412/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Swabha Swayamdipta et al.*2018 · 142 citations*
104. **[An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction](https://md.research.elamur.ai/free/en/papers/paranjape-2020-information-bottleneck-approach-controlling-conciseness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bhargavi Paranjape, Mandar Joshi, John Thickstun, et al.*2020 · 140 citations*
105. [**Self-Alignment with Instruction Backtranslation arXiv:2308.06259**Xian Li, Ping Yu, Chunting Zhou, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-self-alignment-instruction-backtranslation/)
106. **[Modeling Missing Data in Distant Supervision for Information Extraction ↗](https://aclanthology.org/Q13-1030/) Transactions of the Association for Computational Linguistics · no summary yet**Alan Ritter et al.*2013 · 137 citations*
107. **[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*
108. **[One Embedder, Any Task: Instruction-Finetuned Text Embeddings ↗](https://aclanthology.org/2023.findings-acl.71/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Hongjin Su et al.*2023 · 135 citations*
109. **[Mise en Place: Unsupervised Interpretation of Instructional Recipes ↗](https://aclanthology.org/D15-1114/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chloé Kiddon et al.*2015 · 135 citations*
110. **[Few-shot Learning with Multilingual Generative Language Models ↗](https://aclanthology.org/2022.emnlp-main.616/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xi Victoria Lin et al.*2022 · 133 citations*
111. **[Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering ↗](https://arxiv.org/abs/1911.03868) arXiv:1911.03868 · no summary yet**Sewon Min et al.*2019 · 133 citations*
112. **[Aligned Cross Entropy for Non-Autoregressive Machine Translation ↗](https://arxiv.org/abs/2004.01655) arXiv (Cornell University) · no summary yet**Marjan Ghazvininejad et al.*2020 · 131 citations*
113. **[Reading between the Lines: Learning to Map High-Level Instructions to Commands ↗](https://aclanthology.org/P10-1129/) Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics · no summary yet**S.R.K. Branavan, Luke Zettlemoyer, Regina Barzilay*2010 · 130 citations*
114. [**The case for 4-bit precision: k-bit Inference Scaling Laws arXiv:2212.09720**Tim Dettmers, Luke Zettlemoyer*2022 · 123 citations*](https://md.research.elamur.ai/free/en/papers/dettmers-2022-case-4-bit-precision-k/)
115. **[XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models](https://md.research.elamur.ai/free/en/papers/liang-2023-xlm-v-overcoming-vocabulary-bottleneck/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Davis Liang, Hila Gonen, Yuning Mao, et al.*2023 · 120 citations*
116. **[SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach ↗](https://aclanthology.org/D18-1051/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Michael Petrochuk, Luke Zettlemoyer*2018 · 120 citations*
117. [**LSTM CCG Parsing**Mike Lewis, Kenton Lee, Luke Zettlemoyer*English · 120 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2016-lstm-ccg-parsing/)
118. **[Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing ↗](https://aclanthology.org/2020.emnlp-main.413/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Xilun Chen et al.*2020 · 118 citations*
119. **[Natural Language to Code Translation with Execution ↗](https://aclanthology.org/2022.emnlp-main.231/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Freda Shi et al.*2022 · 116 citations*
120. **[Contrastive Decoding: Open-ended Text Generation as Optimization ↗](https://aclanthology.org/2023.acl-long.687/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xiang Lisa Li et al.*2023 · 114 citations*
121. **[Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models ↗](https://arxiv.org/abs/2208.03306) arXiv:2208.03306 · no summary yet**Margaret Li et al.*2022 · 114 citations*
122. [**Crowdsourcing Question-Answer Meaning Representations**Julian Michael, Gabriel Stanovsky, Luheng He, et al.*English · 114 citations*](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/)
123. **[Efficient Large Scale Language Modeling with Mixtures of Experts ↗](https://arxiv.org/abs/2112.10684) arXiv:2112.10684 · no summary yet**Mikel Artetxe et al.*2021 · 113 citations*
124. **[Better Fine-Tuning by Reducing Representational Collapse ↗](https://arxiv.org/abs/2008.03156) arXiv (Cornell University) · no summary yet**Armen Aghajanyan et al.*2020 · 109 citations*
125. **[Event Detection and Factuality Assessment with Non-Expert Supervision ↗](https://aclanthology.org/D15-1189/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Kenton Lee et al.*2015 · 107 citations*
126. **[VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding ↗](https://aclanthology.org/2021.findings-acl.370/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Hu Xu et al.*2021 · 105 citations*
127. **[CM3: A Causal Masked Multimodal Model of the Internet ↗](https://arxiv.org/abs/2201.07520) arXiv (Cornell University) · no summary yet**Armen Aghajanyan et al.*2022 · 104 citations*
128. **[Retrieval-Augmented Multimodal Language Modeling ↗](https://arxiv.org/abs/2211.12561) arXiv:2211.12561 · no summary yet**Michihiro Yasunaga et al.*2022 · 104 citations*
129. **[Context-dependent Semantic Parsing for Time Expressions ↗](https://aclanthology.org/P14-1135/) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Kenton Lee et al.*2014 · 104 citations*
130. **[Mega: Moving Average Equipped Gated Attention ↗](https://arxiv.org/abs/2209.10655) arXiv (Cornell University) · no summary yet**Xuezhe Ma et al.*2022 · 103 citations*
131. **[Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging ↗](https://arxiv.org/abs/2310.11564) arXiv:2310.11564 · no summary yet**Joel Jang et al.*2023 · 102 citations*
132. **[Learning Distributions over Logical Forms for Referring Expression Generation ↗](https://aclanthology.org/D13-1197/) Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · no summary yet**Nicholas FitzGerald, Yoav Artzi, Luke Zettlemoyer*2013 · 98 citations*
133. **[Prompting Contrastive Explanations for Commonsense Reasoning Tasks ↗](https://aclanthology.org/2021.findings-acl.366/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Bhargavi Paranjape et al.*2021 · 96 citations*
134. [**Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation arXiv:2302.07856**Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer*2023 · 95 citations*](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2023-dictionary-based-phrase-level-prompting/)
135. **[NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System ↗](https://aclanthology.org/L18-1491/) Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) · no summary yet**Xi Victoria Lin et al.*2018 · 94 citations*
136. **[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*
137. **[Towards Narrative-Centered Learning Environments ↗](https://openalex.org/W182561168) no summary yet**Bradford W. Mort et al.*1999 · 91 citations*
138. **[Luna: Linear Unified Nested Attention ↗](https://arxiv.org/abs/2106.01540) arXiv (Cornell University) · no summary yet**Xuezhe Ma et al.*2021 · 90 citations*
139. **[Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection ↗](https://aclanthology.org/2022.emnlp-main.165/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Suchin Gururangan et al.*2022 · 89 citations*
140. **[Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves](https://md.research.elamur.ai/free/en/papers/hajishirzi-2013-joint-coreference-resolution-named-entity/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, et al.*2013 · 88 citations*
141. [**Do Membership Inference Attacks Work on Large Language Models? arXiv:2402.07841**Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/duan-2024-membership-inference-attacks-work-large/)
142. **[MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers ↗](https://arxiv.org/abs/2305.07185) arXiv:2305.07185 · no summary yet**Lili Yu et al.*2023 · 86 citations*
143. [**Controlled Crowdsourcing for High-Quality QA-SRL Annotation**Paul Roit, Ayal Klein, Daniela Stepanov, et al.*English · 86 citations*](https://md.research.elamur.ai/free/en/papers/roit-2020-controlled-crowdsourcing-high-quality-qa/)
144. **[Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models ↗](https://doi.org/10.52202/079017-4423) neural information processing systems · no summary yet**Xingyu Fu et al.*2024 · 84 citations*
145. **[Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model ↗](https://arxiv.org/abs/2408.11039) arXiv:2408.11039 · no summary yet**Chunting Zhou et al.*2024 · 83 citations*
146. **[Automatic Idiom Identification in Wiktionary ↗](https://aclanthology.org/D13-1145/) Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · no summary yet**Grace Muzny, Luke Zettlemoyer*2013 · 82 citations*
147. **[DEMix Layers: Disentangling Domains for Modular Language Modeling ↗](https://arxiv.org/abs/2108.05036) arXiv:2108.05036 · no summary yet**Suchin Gururangan et al.*2021 · 76 citations*
148. **[JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation](https://md.research.elamur.ai/free/en/papers/agashe-2019-juice-large-scale-distantly-supervised/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer*2019 · 75 citations*
149. **[HTLM: Hyper-Text Pre-Training and Prompting of Language Models ↗](https://arxiv.org/abs/2107.06955) arXiv (Cornell University) · no summary yet**Armen Aghajanyan et al.*2021 · 74 citations*
150. **[Joint A* CCG Parsing and Semantic Role Labelling ↗](https://aclanthology.org/D15-1169/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mike Lewis, Luheng He, Luke Zettlemoyer*2015 · 74 citations*
151. **[Byte Latent Transformer: Patches Scale Better Than Tokens ↗](https://aclanthology.org/2025.acl-long.453/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Artidoro Pagnoni et al.*2025 · 73 citations*
152. **[Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles ↗](https://aclanthology.org/2020.findings-emnlp.272/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Christopher Clark, Mark Yatskar, Luke Zettlemoyer*2020 · 72 citations*
153. **[Iterative Search for Weakly Supervised Semantic Parsing ↗](https://aclanthology.org/N19-1273/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Pradeep Dasigi et al.*2019 · 71 citations*
154. **[Semi-Autoregressive Training Improves Mask-Predict Decoding ↗](https://arxiv.org/abs/2001.08785) arXiv (Cornell University) · no summary yet**Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer*2020 · 70 citations*
155. **[See No Evil, Say No Evil: Description Generation from Densely Labeled Images ↗](https://aclanthology.org/S14-1015/) Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) · no summary yet**Mark Yatskar et al.*2014 · 70 citations*
156. **[Prompt-free and Efficient Few-shot Learning with Language Models ↗](https://aclanthology.org/2022.acl-long.254/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Rabeeh Karimi Mahabadi et al.*2022 · 68 citations*
157. [**CREPE: Open-Domain Question Answering with False Presuppositions**Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al.*English · 66 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/)
158. **[pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference ↗](https://aclanthology.org/N19-1362/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Mandar Joshi et al.*2019 · 66 citations*
159. **[Robot Programming by Demonstration with situated spatial language understanding ↗](https://doi.org/10.1109/icra.2015.7139462) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Maxwell Forbes et al.*2015 · 66 citations*
160. **[Learning STRIPS Operators from Noisy and Incomplete Observations ↗](https://arxiv.org/abs/1210.4889) arXiv (Cornell University) · no summary yet**Kira Mourão et al.*2012 · 66 citations*
161. **[MUSE: Machine Unlearning Six-Way Evaluation for Language Models ↗](https://arxiv.org/abs/2407.06460) arXiv (Cornell University) · no summary yet**Weijia Shi et al.*2024 · 65 citations*
162. **[Questions Are All You Need to Train a Dense Passage Retriever](https://md.research.elamur.ai/free/en/papers/sachan-2023-questions-are-all-you-need/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Devendra Singh Sachan, Mike Lewis, Dani Yogatama, et al.*2023 · 65 citations*
163. **[Learning planning rules in noisy stochastic worlds ↗](https://openalex.org/W1592960552) no summary yet**Luke Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling*2005 · 65 citations*
164. **[Demystifying CLIP Data ↗](https://arxiv.org/abs/2309.16671) arXiv (Cornell University) · no summary yet**Xu Hu et al.*2023 · 64 citations*
165. **[DeLighT: Deep and Light-weight Transformer ↗](https://arxiv.org/abs/2008.00623) arXiv (Cornell University) · no summary yet**Sachin Mehta et al.*2020 · 64 citations*
166. **[Prompting Language Models for Linguistic Structure ↗](https://aclanthology.org/2023.acl-long.367/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Terra Blevins, Hila Gonen, Luke Zettlemoyer*2023 · 63 citations*
167. [**Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens arXiv:2401.17377**Jiacheng Liu, Sewon Min, Luke Zettlemoyer, et al.*2024 · 62 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-infini-gram-scaling-unbounded-n/)
168. **[OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs ↗](https://arxiv.org/abs/2411.14199) arXiv:2411.14199 · no summary yet**Akari Asai et al.*2024 · 62 citations*
169. **[Nonparametric Masked Language Modeling ↗](https://aclanthology.org/2023.findings-acl.132/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Sewon Min et al.*2023 · 62 citations*
170. [**In-context Pretraining: Language Modeling Beyond Document Boundaries arXiv:2310.10638**Weijia Shi, Sewon Min, Maria Lomeli, et al.*2023 · 61 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-context-pretraining-language-modeling-document/)
171. [**Shepherd: A Critic for Language Model Generation arXiv:2308.04592**Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.*2023 · 60 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-shepherd-critic-language-model-generation/)
172. **[Training Trajectories of Language Models Across Scales ↗](https://aclanthology.org/2023.acl-long.767/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Mengzhou Xia et al.*2023 · 60 citations*
173. **[Simple and Effective Retrieve-Edit-Rerank Text Generation ↗](https://aclanthology.org/2020.acl-main.228/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Nabil Hossain, Marjan Ghazvininejad, Luke Zettlemoyer*2020 · 59 citations*
174. **[Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning ↗](https://arxiv.org/abs/2309.02591) arXiv (Cornell University) · no summary yet**Lili Yu et al.*2023 · 58 citations*
175. **[Personalized mathematical word problem generation ↗](https://openalex.org/W2402499785) no summary yet**Oleksandr Polozov et al.*2015 · 58 citations*
176. **[Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ↗](https://aclanthology.org/2023.acl-long.129/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xinxi Lyu et al.*2023 · 56 citations*
177. **[Nearest Neighbor Zero-Shot Inference ↗](https://aclanthology.org/2022.emnlp-main.214/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Weijia Shi et al.*2022 · 55 citations*
178. **[Global Neural CCG Parsing with Optimality Guarantees ↗](https://aclanthology.org/D16-1262/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Kenton Lee, Mike Lewis, Luke Zettlemoyer*2016 · 55 citations*
179. **[Spurious Rewards: Rethinking Training Signals in RLVR ↗](https://arxiv.org/abs/2506.10947) arXiv:2506.10947 · no summary yet**Rulin Shao et al.*2025 · 53 citations*
180. **[Learning probabilistic relational planning rules ↗](https://openalex.org/W2157117634) no summary yet**Hanna Pasula, Luke Zettlemoyer, Leslie Pack Kaelbling*2003 · 52 citations*
181. **[Human-in-the-Loop Parsing ↗](https://aclanthology.org/D16-1258/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Luheng He et al.*2016 · 51 citations*
182. **[Revisiting Machine Translation for Cross-lingual Classification ↗](https://aclanthology.org/2023.emnlp-main.399/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mikel Artetxe et al.*2023 · 50 citations*
183. **[Language Contamination Helps Explain the Cross-lingual Capabilities of English Pretrained Models ↗](https://aclanthology.org/2022.emnlp-main.233/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Terra Blevins, Luke Zettlemoyer*2022 · 48 citations*
184. **[Learning Programmatic Idioms for Scalable Semantic Parsing ↗](https://aclanthology.org/D19-1545/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer*2019 · 48 citations*
185. **[FaVIQ: FAct Verification from Information-seeking Questions ↗](https://aclanthology.org/2022.acl-long.354/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jungsoo Park et al.*2022 · 47 citations*
186. **[Stable and low-precision training for large-scale vision-language models ↗](https://arxiv.org/abs/2304.13013) arXiv:2304.13013 · no summary yet**Mitchell Wortsman et al.*2023 · 46 citations*
187. **[Commonly Uncommon: Semantic Sparsity in Situation Recognition ↗](https://doi.org/10.1109/cvpr.2017.671) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mark Yatskar et al.*2017 · 46 citations*
188. [**Reliable, Adaptable, and Attributable Language Models with Retrieval arXiv:2403.03187**Akari Asai, Zexuan Zhong, Danqi Chen, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/asai-2024-reliable-adaptable-attributable-language-models/)
189. [**Scaling Laws for Generative Mixed-Modal Language Models arXiv:2301.03728**Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/)
190. **[SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ↗](https://arxiv.org/abs/2308.04430) arXiv:2308.04430 · no summary yet**Sewon Min et al.*2023 · 45 citations*
191. **[Morpho-syntactic Lexical Generalization for CCG Semantic Parsing ↗](https://aclanthology.org/D14-1135/) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Adrienne Wang, Tom Kwiatkowski, Luke Zettlemoyer*2014 · 45 citations*
192. **[A Theme-Rewriting Approach for Generating Algebra Word Problems ↗](https://aclanthology.org/D16-1168/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Rik Koncel-Kedziorski et al.*2016 · 44 citations*
193. **[Question Answering Infused Pre-training of General-Purpose Contextualized Representations ↗](https://aclanthology.org/2022.findings-acl.59/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Robin Jia, Mike Lewis, Luke Zettlemoyer*2022 · 43 citations*
194. **[Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ↗](https://doi.org/10.18653/v1/2021.acl-long.67) ACL-IJCNLP 2021 (online) · no summary yet**Haoyue Shi, Luke Zettlemoyer, Sida I. Wang*2021 · 43 citations*
195. **[A visual medium for programmatic control of interactive applications ↗](https://doi.org/10.1145/302979.303039) no summary yet**Luke Zettlemoyer, Robert St. Amant*1999 · 43 citations*
196. **[Synthesizing scientific literature with retrieval-augmented language models ↗](https://doi.org/10.1038/s41586-025-10072-4) Nature · no summary yet**Akari Asai et al.*2026 · 42 citations*
197. **[Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models](https://md.research.elamur.ai/free/en/papers/blevins-2024-breaking-curse-multilinguality-cross-lingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, et al.*2024 · 42 citations*
198. **[ReasonIR: Training Retrievers for Reasoning Tasks ↗](https://arxiv.org/abs/2504.20595) arXiv (Cornell University) · no summary yet**Rulin Shao et al.*2025 · 41 citations*
199. [**QANom: Question-Answer driven SRL for Nominalizations**Ayal Klein, Jonathan Mamou, Valentina Pyatkin, et al.*English · 41 citations*](https://md.research.elamur.ai/free/en/papers/klein-2020-qanom-question-answer-driven-srl/)
200. **[Document-level Sentiment Inference with Social, Faction, and Discourse Context ↗](https://aclanthology.org/P16-1032/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Eunsol Choi et al.*2016 · 41 citations*

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