---
title: "Stanford University — works, page 2"
description: "248 works by researchers of Stanford University in our library · page 2 of 3, the most cited first."
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# Works of Stanford University

248 works · page 2 of 3 · the most cited first · [← Stanford University](https://md.research.elamur.ai/free/en/universities/stanford-university/)

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101. [**Learning Bilingual Lexicons from Monolingual Corpora**Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, et al.*2008 · 426 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2008-learning-bilingual-lexicons-monolingual-corpora/)
102. [**Text-Translation Alignment**Martin Kay, Martin Roscheisen*1993 · 423 citations*](https://md.research.elamur.ai/free/en/papers/kay-1993-text-translation-alignment/)
103. [**Improving Coreference Resolution by Learning Entity-Level Distributed Representations**Kevin Clark, Christopher D. Manning*2016 · 422 citations*](https://md.research.elamur.ai/free/en/papers/clark-2016-improving-coreference-resolution-learning-entity/)
104. [**Diffusion-LM Improves Controllable Text Generation**Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.*2022 · 421 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-diffusion-lm-improves-controllable-text/)
105. [**Optimizing Chinese Word Segmentation for Machine Translation Performance**Pi-Chuan Chang, Michel Galley, Christopher D. Manning*2008 · 420 citations*](https://md.research.elamur.ai/free/en/papers/chang-2008-optimizing-chinese-word-segmentation-machine/)
106. [**A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support**Ashish Sharma, Adam Miner, David Atkins, et al.*2020 · 408 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2020-computational-approach-understanding-empathy-expressed/)
107. [**UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 405 citations*](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/)
108. [**Generating Sentences by Editing Prototypes**Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al.*2017 · 404 citations*](https://md.research.elamur.ai/free/en/papers/guu-2017-generating-sentences-editing-prototypes/)
109. [**Nested Named Entity Recognition**Jenny Rose Finkel, Christopher D. Manning*2009 · 403 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2009-nested-named-entity-recognition/)
110. [**Linguistic Models for Analyzing and Detecting Biased Language**Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky*2013 · 394 citations*](https://md.research.elamur.ai/free/en/papers/recasens-2013-linguistic-models-analyzing-detecting-biased/)
111. [**Whose Opinions Do Language Models Reflect?**Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.*2023 · 390 citations*](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/)
112. [**Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog**Sebastian Schuster, Sonal Gupta, Rushin Shah, et al.*2019 · 390 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-transfer-learning-multilingual/)
113. [**CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning**Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.*2016 · 387 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2016-clevr-diagnostic-dataset-compositional-language/)
114. [**LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models**Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li*2023 · 379 citations*](https://md.research.elamur.ai/free/en/papers/guha-2023-legalbench-collaboratively-built-benchmark-measuring/)
115. [**MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension**Adam Fisch, Alon Talmor, Robin Jia, et al.*2019 · 375 citations*](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/)
116. [**What makes a good conversation? How controllable attributes affect human judgments**Abigail See, Stephen Roller, Douwe Kiela, et al.*2019 · 369 citations*](https://md.research.elamur.ai/free/en/papers/see-2019-what-makes-good-conversation-how/)
117. [**Revisiting Few-sample BERT Fine-tuning**Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.*2020 · 361 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-revisiting-few-sample-bert-fine/)
118. [**Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer**Juncen Li, Robin Jia, He He, et al.*2018 · 346 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-delete-retrieve-generate-simple-approach/)
119. [**Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task**Timothy Dozat, Peng Qi, Christopher D. Manning*2017 · 346 citations*](https://md.research.elamur.ai/free/en/papers/dozat-2017-stanford-s-graph-based-neural/)
120. [**A Generative Constituent-Context Model for Improved Grammar Induction**Dan Klein, Christopher D. Manning*2002 · 345 citations*](https://md.research.elamur.ai/free/en/papers/klein-2002-generative-constituent-context-model-improved/)
121. [**Certified Robustness to Adversarial Word Substitutions**Robin Jia, Aditi Raghunathan, Kerem Göksel, et al.*2019 · 336 citations*](https://md.research.elamur.ai/free/en/papers/jia-2019-certified-robustness-adversarial-word-substitutions/)
122. [**The Creation and Analysis of a Website Privacy Policy Corpus**Shomir Wilson, Florian Schaub, Aswarth Abhilash Dara, et al.*2016 · 336 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2016-creation-analysis-website-privacy-policy/)
123. [**Enhanced English Universal Dependencies: An Improved Representation for Natural Language Understanding Tasks**Sebastian Schuster, Christopher D. Manning*2016 · 335 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2016-enhanced-english-universal-dependencies-improved/)
124. [**Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT**Akshay Smit, Saahil Jain, Pranav Rajpurkar, et al.*2020 · 334 citations*](https://md.research.elamur.ai/free/en/papers/smit-2020-combining-automatic-labelers-expert-annotations/)
125. [**Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!**Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.*2023 · 331 citations*](https://md.research.elamur.ai/free/en/papers/qi-2023-fine-tuning-aligned-language-models/)
126. [**Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*2020 · 326 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2020-universal-dependencies-v2-evergrowing-multilingual/)
127. [**Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 324 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-cultural-shift-or-linguistic-drift/)
128. [**An Empirical Model of Multiword Expression Decomposability**Timothy Baldwin, Colin Bannard, Takaaki Tanaka, et al.*2003 · 319 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2003-empirical-model-multiword-expression-decomposability/)
129. [**Fast Decoding and Optimal Decoding for Machine Translation**Ulrich Germann, Michael Jahr, Kevin Knight, et al.*2001 · 312 citations*](https://md.research.elamur.ai/free/en/papers/germann-2001-fast-decoding-optimal-decoding-machine/)
130. [**Measuring the Evolution of a Scientific Field through Citation Frames**David Jurgens, Srijan Kumar, Raine Hoover, et al.*2018 · 311 citations*](https://md.research.elamur.ai/free/en/papers/jurgens-2018-measuring-evolution-scientific-field-through/)
131. [**Computational Argumentation Quality Assessment in Natural Language**Henning Wachsmuth, Nona Naderi, Yufang Hou, et al.*2017 · 306 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2017-computational-argumentation-quality-assessment-natural/)
132. [**Finding Contradictions in Text**Marie-Catherine de Marneffe, Anna N. Rafferty, Christopher D. Manning*2008 · 301 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2008-finding-contradictions-text/)
133. [**Evaluating Verifiability in Generative Search Engines**Nelson Liu, Tianyi Zhang, Percy Liang*2023 · 294 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-verifiability-generative-search-engines/)
134. [**Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings**Han-Chin Shing, Suraj Nair, Ayah Zirikly, et al.*2018 · 288 citations*](https://md.research.elamur.ai/free/en/papers/shing-2018-expert-crowdsourced-machine-assessment-suicide/)
135. [**Learning to Paraphrase for Question Answering**Li Dong, Jonathan Mallinson, Siva Reddy, et al.*2017 · 285 citations*](https://md.research.elamur.ai/free/en/papers/dong-2017-learning-paraphrase-question-answering/)
136. [**BAM! Born-Again Multi-Task Networks for Natural Language Understanding**Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.*2019 · 279 citations*](https://md.research.elamur.ai/free/en/papers/clark-2019-bam-born-again-multi-task/)
137. [**Larger language models do in-context learning differently**Jerry Wei, Jason Wei, Yi Tay, et al.*2023 · 277 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-larger-language-models-context-learning/)
138. [**Joint Entity and Event Coreference Resolution across Documents**Heeyoung Lee, Marta Recasens, Angel Chang, et al.*2012 · 273 citations*](https://md.research.elamur.ai/free/en/papers/lee-2012-joint-entity-event-coreference-resolution/)
139. [**Simpler but More Accurate Semantic Dependency Parsing**Timothy Dozat, Christopher D. Manning*2018 · 271 citations*](https://md.research.elamur.ai/free/en/papers/dozat-2018-simpler-but-more-accurate-semantic/)
140. [**An Explanation of In-context Learning as Implicit Bayesian Inference**Sang Michael Xie, Aditi Raghunathan, Percy Liang, et al.*2021 · 268 citations*](https://md.research.elamur.ai/free/en/papers/xie-2021-explanation-context-learning-implicit-bayesian/)
141. [**Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools**Varun Magesh, Faiz Surani, Matthew Dahl, et al.*2024 · 267 citations*](https://md.research.elamur.ai/free/en/papers/magesh-2024-hallucination-free-assessing-reliability-leading/)
142. [**Efficient, Feature-based, Conditional Random Field Parsing**Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning*2008 · 261 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2008-efficient-feature-based-conditional-random/)
143. [**DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines**Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.*2023 · 261 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2023-dspy-compiling-declarative-language-model/)
144. [**LexGLUE: A Benchmark Dataset for Legal Language Understanding in English**Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-lexglue-benchmark-dataset-legal-language/)
145. [**CorefQA: Coreference Resolution as Query-based Span Prediction**Wei Wu, Fei Wang, Arianna Yuan, et al.*2020 · 253 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-corefqa-coreference-resolution-as-query/)
146. [**Entity-Centric Coreference Resolution with Model Stacking**Kevin Clark, Christopher D. Manning*2015 · 252 citations*](https://md.research.elamur.ai/free/en/papers/clark-2015-entity-centric-coreference-resolution-model/)
147. [**Joint Learning Improves Semantic Role Labeling**Kristina Toutanova, Aria Haghighi, Christopher Manning*2005 · 250 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2005-joint-learning-improves-semantic-role/)
148. [**Contrastive Decoding: Open-ended Text Generation as Optimization**Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al.*2022 · 246 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/)
149. [**A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models**S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.*2024 · 246 citations*](https://md.research.elamur.ai/free/en/papers/tonmoy-2024-comprehensive-survey-hallucination-mitigation-techniques/)
150. [**Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/)
151. [**MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers**Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.*2021 · 243 citations*](https://md.research.elamur.ai/free/en/papers/pillutla-2021-mauve-measuring-gap-between-neural/)
152. [**Word-Sense Disambiguation for Machine Translation**David Vickrey, Luke Biewald, Marc Teyssier, et al.*2005 · 242 citations*](https://md.research.elamur.ai/free/en/papers/vickrey-2005-word-sense-disambiguation-machine-translation/)
153. [**Factuality Challenges in the Era of Large Language Models**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 241 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/)
154. [**Large Language Monkeys: Scaling Inference Compute with Repeated Sampling**Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.*2024 · 241 citations*](https://md.research.elamur.ai/free/en/papers/brown-2024-large-language-monkeys-scaling-inference/)
155. [**Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports**Yuhao Zhang, Derek Merck, Emily Tsai, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-optimizing-factual-correctness-summary-study/)
156. [**Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models**Myra Cheng, Esin Durmus, Dan Jurafsky*2023 · 236 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2023-marked-personas-natural-language-prompts/)
157. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*2020 · 235 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
158. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
159. [**LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.*2023 · 235 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-lmsys-chat-1m-large-scale/)
160. [**Decoupling Strategy and Generation in Negotiation Dialogues**He He, Derek Chen, Anusha Balakrishnan, et al.*2018 · 233 citations*](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/)
161. [**Better Arabic Parsing: Baselines, Evaluations, and Analysis**Spence Green, Christopher D. Manning*2010 · 231 citations*](https://md.research.elamur.ai/free/en/papers/green-2010-better-arabic-parsing-baselines-evaluations/)
162. [**From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood**Kelvin Guu, Panupong Pasupat, Evan Liu, et al.*2017 · 230 citations*](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/)
163. [**FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance**Lingjiao Chen, Matei Zaharia, James Zou*2023 · 229 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-frugalgpt-use-large-language-models/)
164. [**XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models**Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.*2023 · 227 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2023-xstest-test-suite-identifying-exaggerated/)
165. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
166. [**What learning algorithm is in-context learning? Investigations with linear models**Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.*2022 · 224 citations*](https://md.research.elamur.ai/free/en/papers/akyurek-2022-learning-algorithm-context-learning-investigations/)
167. [**Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning**Beliz Gunel, Jingfei Du, Alexis Conneau, et al.*2020 · 216 citations*](https://md.research.elamur.ai/free/en/papers/gunel-2020-supervised-contrastive-learning-pre-trained/)
168. [**A Global Joint Model for Semantic Role Labeling**Kristina Toutanova, Aria Haghighi, Christopher D. Manning*2008 · 214 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2008-global-joint-model-semantic-role/)
169. [**Gradient Surgery for Multi-Task Learning**Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.*2020 · 214 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-gradient-surgery-multi-task-learning/)
170. [**N-gram Counts and Language Models from the Common Crawl**Christian Buck, Kenneth Heafield, Bas van Ooyen*2014 · 213 citations*](https://md.research.elamur.ai/free/en/papers/buck-2014-n-gram-counts-language-models/)
171. [**Nonliteral understanding of number words**Justine T. Kao, Jean Y. Wu, Leon Bergen, et al.*2014 · 213 citations*](https://md.research.elamur.ai/free/en/papers/kao-2014-nonliteral-understanding-number-words/)
172. [**Accelerating scientific discovery with Co-Scientist**Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.*2025 · 212 citations*](https://md.research.elamur.ai/free/en/papers/gottweis-2025-accelerating-scientific-discovery-co/)
173. [**Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP**Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.*2022 · 211 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/)
174. [**OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models**Anas Awadalla, Irena Gao, Josh Gardner, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/)
175. [**Enabling Language Models to Fill in the Blanks**Chris Donahue, Mina Lee, Percy Liang*2020 · 207 citations*](https://md.research.elamur.ai/free/en/papers/donahue-2020-enabling-language-models-fill-blanks/)
176. [**Recursive Deep Models for Discourse Parsing**Jiwei Li, Rumeng Li, Eduard Hovy*2014 · 206 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-recursive-deep-models-discourse-parsing/)
177. [**Did It Happen? The Pragmatic Complexity of Veridicality Assessment**Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts*2012 · 202 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2012-did-it-happen-pragmatic-complexity/)
178. [**Autoformalization with Large Language Models**Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.*2022 · 202 citations*](https://md.research.elamur.ai/free/en/papers/wu-2022-autoformalization-large-language-models/)
179. [**How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs**Yi Zeng, Hongpeng Lin, Jingwen Zhang, et al.*2024 · 202 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-how-johnny-can-persuade-llms/)
180. [**LinGO Redwoods: A Rich and Dynamic Treebank for HPSG**Stephan Oepen, Dan Flickinger, Kristina Toutanova, et al.*2004 · 200 citations*](https://md.research.elamur.ai/free/en/papers/oepen-2004-lingo-redwoods-rich-dynamic-treebank/)
181. [**RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval**Parth Sarthi, Salman Abdullah, Aditi Tuli, et al.*2024 · 191 citations*](https://md.research.elamur.ai/free/en/papers/sarthi-2024-raptor-recursive-abstractive-processing-tree/)
182. [**Discriminant-Based MRS Banking**Stephan Oepen, Jan Tore Lønning*2006 · 184 citations*](https://md.research.elamur.ai/free/en/papers/oepen-2006-discriminant-based-mrs-banking/)
183. [**Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers**Chenglei Si, Diyi Yang, Tatsunori Hashimoto*2024 · 182 citations*](https://md.research.elamur.ai/free/en/papers/si-2024-llms-generate-novel-research/)
184. [**An Algebra for Semantic Construction in Constraint-based Grammars**Ann Copestake, Alex Lascarides, Dan Flickinger*2001 · 180 citations*](https://md.research.elamur.ai/free/en/papers/copestake-2001-algebra-semantic-construction-constraint-based/)
185. [**On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning**Omar Shaikh, Hongxin Zhang, William Held, et al.*2023 · 180 citations*](https://md.research.elamur.ai/free/en/papers/shaikh-2023-second-thought-let-s-not/)
186. [**ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts**Yuta Koreeda, Christopher Manning*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/koreeda-2021-contractnli-dataset-document-level-natural/)
187. [**Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs**Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, et al.*2022 · 175 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-draft-sketch-prove-guiding-formal/)
188. [**Chart Generation**Martin Kay*1996 · 168 citations*](https://md.research.elamur.ai/free/en/papers/kay-1996-chart-generation/)
189. [**PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts**Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.*2022 · 164 citations*](https://md.research.elamur.ai/free/en/papers/bach-2022-promptsource-integrated-development-environment-repository/)
190. [**Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy**Daniel Cer, Marie-Catherine de Marneffe, Dan Jurafsky, et al.*2010 · 158 citations*](https://md.research.elamur.ai/free/en/papers/cer-2010-parsing-stanford-dependencies-trade-offs/)
191. [**Effective Domain Mixing for Neural Machine Translation**Denny Britz, Quoc Le, Reid Pryzant*2017 · 155 citations*](https://md.research.elamur.ai/free/en/papers/britz-2017-effective-domain-mixing-neural-machine/)
192. [**Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding**Will Monroe, Robert X.D. Hawkins, Noah D. Goodman, et al.*2017 · 155 citations*](https://md.research.elamur.ai/free/en/papers/monroe-2017-colors-context-pragmatic-neural-model/)
193. [**Neural Net Models of Open-domain Discourse Coherence**Jiwei Li, Dan Jurafsky*2017 · 147 citations*](https://md.research.elamur.ai/free/en/papers/li-2017-neural-net-models-open-domain/)
194. [**Investigating the distribution of some (but not all) implicatures using corpora and web-based methods**Judith Degen*2015 · 141 citations*](https://md.research.elamur.ai/free/en/papers/degen-2015-investigating-distribution-some-but-not/)
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