---
title: "Who cites Kishore Papineni — page 2 — 11,112 citing papers"
description: "11,112 papers of the Elamur Research library cite the works of Kishore Papineni, found in their bibliographies · page 2 of 13 · 101–200; the…"
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---
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# Who cites Kishore Papineni

11,128 citations of their works from 11,112 papers of our library (of the 149,439 whose bibliographies we read) · 1,221 with a page here, the most cited first · page 2 of 13 · 101–200 · [← Kishore Papineni](https://md.research.elamur.ai/free/en/authors/kishore-papineni/)

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101. **[Neural Text Summarization: A Critical Evaluation](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.*2019 · 559 citations*
102. **[Style Transfer Through Back-Translation](https://md.research.elamur.ai/free/en/papers/prabhumoye-2018-style-transfer-through-back-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.*2018 · 558 citations*
103. **[Batch Tuning Strategies for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/cherry-2012-batch-tuning-strategies-statistical-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Colin Cherry, George Foster*2012 · 549 citations*
104. [**Dependency Treelet Translation: Syntactically Informed Phrasal SMT**Chris Quirk, Arul Menezes, Colin Cherry*2005 · 549 citations*](https://md.research.elamur.ai/free/en/papers/quirk-2005-dependency-treelet-translation-syntactically-informed/)
105. **[Sentence Fusion for Multidocument News Summarization](https://md.research.elamur.ai/free/en/papers/barzilay-2005-sentence-fusion-multidocument-news-summarization/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Regina Barzilay, Kathleen R. McKeown*2005 · 549 citations*
106. [**The Natural Language Decathlon: Multitask Learning as Question Answering arXiv:1806.08730**Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.*2018 · 545 citations*](https://md.research.elamur.ai/free/en/papers/mccann-2018-natural-language-decathlon-multitask-learning/)
107. **[Edinburgh System Description for the 2005 IWSLT Speech Translation Evaluation](https://md.research.elamur.ai/free/en/papers/koehn-2005-edinburgh-system-description-2005-iwslt/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Philipp Koehn, Amittai Axelrod, Alexandra Birch Mayne, et al.*2005 · 545 citations*
108. [**Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning**Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.*2019 · 544 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-cosmos-qa-machine-reading-comprehension/)
109. [**A Structured Review of the Validity of BLEU**Ehud Reiter*2018 · 542 citations*](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/)
110. **[Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems](https://md.research.elamur.ai/free/en/papers/denkowski-2011-meteor-1-3-automatic-metric/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Michael Denkowski, Alon Lavie*2011 · 541 citations*
111. [**Unleashing the potential of prompt engineering for large language models arXiv:2310.14735 · Patterns 6(6) 101,260 (2025)**Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.*2023 · 536 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-unleashing-potential-prompt-engineering-large/)
112. **[A Network-based End-to-End Trainable Task-oriented Dialogue System](https://md.research.elamur.ai/free/en/papers/wen-2017-network-based-end-end-trainable/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tsung-Hsien Wen, David Vandyke, Nikola Mrkšić, et al.*2017 · 534 citations*
113. **[Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/burch-2009-fast-cheap-creative-evaluating-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chris Callison-Burch*2009 · 529 citations*
114. **[Creating Training Corpora for NLG Micro-Planners](https://md.research.elamur.ai/free/en/papers/gardent-2017-creating-training-corpora-nlg-micro/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 528 citations*
115. **[Empirical Methods for Compound Splitting](https://md.research.elamur.ai/free/en/papers/koehn-2003-empirical-methods-compound-splitting/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Philipp Koehn, Kevin Knight*2003 · 508 citations*
116. [**Farasa: A Fast and Furious Segmenter for Arabic**Ahmed Abdelali, Kareem Darwish, Nadir Durrani, et al.*2016 · 507 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2016-farasa-fast-furious-segmenter-arabic/)
117. **[Improving Statistical Machine Translation Using Word Sense Disambiguation](https://md.research.elamur.ai/free/en/papers/carpuat-2007-improving-statistical-machine-translation-word/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marine Carpuat, Dekai Wu*2007 · 505 citations*
118. **[Does String-Based Neural MT Learn Source Syntax?](https://md.research.elamur.ai/free/en/papers/shi-2016-does-string-based-neural-mt/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xing Shi, Inkit Padhi, Kevin Knight*2016 · 504 citations*
119. **[Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses](https://md.research.elamur.ai/free/en/papers/lowe-2017-towards-automatic-turing-test-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al.*2017 · 499 citations*
120. [**Texygen: A Benchmarking Platform for Text Generation Models arXiv:1802.01886**Yaoming Zhu, Sidi Lu, Lei Zheng, et al.*2018 · 495 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2018-texygen-benchmarking-platform-text-generation/)
121. **[The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems](https://md.research.elamur.ai/free/en/papers/lowe-2015-ubuntu-dialogue-corpus-large-dataset/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Ryan Lowe, Nissan Pow, Iulian Serban, et al.*2015 · 494 citations*
122. **[On the Automatic Generation of Medical Imaging Reports](https://md.research.elamur.ai/free/en/papers/jing-2018-automatic-generation-medical-imaging-reports/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baoyu Jing, Pengtao Xie, Eric Xing*2018 · 484 citations*
123. **[ToTTo: A Controlled Table-To-Text Generation Dataset](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al.*2020 · 482 citations*
124. **[HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training](https://md.research.elamur.ai/free/en/papers/li-2020-hero-hierarchical-encoder-video-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Linjie Li, Yen-Chun Chen, Yu Cheng, et al.*2020 · 481 citations*
125. **[Findings of the 2009 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2009-findings-2009-workshop-statistical-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2009 · 480 citations*
126. **[Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Biao Zhang, Philip Williams, Ivan Titov, et al.*2020 · 477 citations*
127. **[Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models](https://md.research.elamur.ai/free/en/papers/luong-2016-achieving-open-vocabulary-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minh-Thang Luong, Christopher D. Manning*2016 · 475 citations*
128. **[When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ye Qi, Devendra Sachan, Matthieu Felix, et al.*2018 · 474 citations*
129. [**Large Language Models: A Survey arXiv:2402.06196**Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.*2024 · 471 citations*](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/)
130. **[The E2E Dataset: New Challenges For End-to-End Generation](https://md.research.elamur.ai/free/en/papers/novikova-2017-e2e-dataset-new-challenges-end/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Jekaterina Novikova, Ondřej Dušek, Verena Rieser*2017 · 471 citations*
131. [**OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework arXiv:2202.03052**Peng Wang, An Yang, Rui Men, et al.*2022 · 467 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-ofa-unifying-architectures-tasks-modalities/)
132. **[CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Qinkai Zheng, Xiao Xia, Xu Zou, et al.*2023 · 465 citations*
133. **[Findings of the 2015 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 465 citations*
134. **[Automatic Evaluation of Translation Quality for Distant Language Pairs](https://md.research.elamur.ai/free/en/papers/isozaki-2010-automatic-evaluation-translation-quality-distant/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hideki Isozaki, Tsutomu Hirao, Kevin Duh, et al.*2010 · 463 citations*
135. **[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/beck-2018-graph-sequence-learning-gated-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daniel Beck, Gholamreza Haffari, Trevor Cohn*2018 · 459 citations*
136. [**Measuring Coding Challenge Competence With APPS arXiv:2105.09938**Dan Hendrycks, Steven Basart, Saurav Kadavath, et al.*2021 · 457 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-measuring-coding-challenge-competence-apps/)
137. [**Tree-to-String Alignment Template for Statistical Machine Translation**Yang Liu, Qun Liu, Shouxun Lin*2006 · 454 citations*](https://md.research.elamur.ai/free/en/papers/liu-2006-tree-string-alignment-template-statistical/)
138. **[MuST-C: a Multilingual Speech Translation Corpus](https://md.research.elamur.ai/free/en/papers/gangi-2019-must-c-multilingual-speech-translation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, et al.*2019 · 437 citations*
139. **[COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/rei-2022-comet-22-unbabel-ist-2022/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ricardo Rei, José G. C. de Souza, Duarte Alves, et al.*2022 · 435 citations*
140. **[Computational Generation of Referring Expressions: A Survey](https://md.research.elamur.ai/free/en/papers/krahmer-2012-computational-generation-referring-expressions-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Emiel Krahmer, Kees van Deemter*2012 · 433 citations*
141. **[A Transformer-based Approach for Source Code Summarization](https://md.research.elamur.ai/free/en/papers/ahmad-2020-transformer-based-approach-source-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.*2020 · 431 citations*
142. **[Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al.*2018 · 430 citations*
143. [**Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods**Nitin Madnani, Bonnie J. Dorr*2010 · 428 citations*](https://md.research.elamur.ai/free/en/papers/madnani-2010-generating-phrasal-sentential-paraphrases-survey/)
144. **[Data Augmentation for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fadaee-2017-data-augmentation-low-resource-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marzieh Fadaee, Arianna Bisazza, Christof Monz*2017 · 425 citations*
145. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*2017 · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)
146. **[Optimizing Chinese Word Segmentation for Machine Translation Performance](https://md.research.elamur.ai/free/en/papers/chang-2008-optimizing-chinese-word-segmentation-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Pi-Chuan Chang, Michel Galley, Christopher D. Manning*2008 · 421 citations*
147. **[Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov*2021 · 420 citations*
148. **[Measuring the Semantic Similarity of Texts](https://md.research.elamur.ai/free/en/papers/corley-2005-measuring-semantic-similarity-texts/) [ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment](https://md.research.elamur.ai/free/en/venues/acl-workshop-on-empirical-modeling-of-semantic-equivalence-and-entailment/)**Courtney Corley, Rada Mihalcea*2005 · 417 citations*
149. **[Word Sense Disambiguation Improves Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/chan-2007-word-sense-disambiguation-improves-statistical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yee Seng Chan, Hwee Tou Ng, David Chiang*2007 · 416 citations*
150. **[Document-Level Neural Machine Translation with Hierarchical Attention Networks](https://md.research.elamur.ai/free/en/papers/miculicich-2018-document-level-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al.*2018 · 415 citations*
151. **[Lattice-based Minimum Error Rate Training for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/macherey-2008-lattice-based-minimum-error-rate/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wolfgang Macherey, Franz Och, Ignacio Thayer, et al.*2008 · 411 citations*
152. **[Exploiting Source-side Monolingual Data in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2016-exploiting-source-side-monolingual-data/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiajun Zhang, Chengqing Zong*2016 · 409 citations*
153. **[Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems](https://md.research.elamur.ai/free/en/papers/madotto-2018-mem2seq-effectively-incorporating-knowledge-bases/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrea Madotto, Chien-Sheng Wu, Pascale Fung*2018 · 405 citations*
154. **[Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder](https://md.research.elamur.ai/free/en/papers/ha-2016-multilingual-neural-machine-translation-universal/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Thanh-Le Ha, Jan Niehues, Alex Waibel*2016 · 403 citations*
155. **[MEAD - A Platform for Multidocument Multilingual Text Summarization](https://md.research.elamur.ai/free/en/papers/radev-2004-mead-platform-multidocument-multilingual-text/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, et al.*2004 · 400 citations*
156. [**A Simple Language Model for Task-Oriented Dialogue arXiv:2005.00796**Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, et al.*2020 · 399 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-asl-2020-simple-language-model-task-oriented/)
157. **[Mixture-Model Adaptation for SMT](https://md.research.elamur.ai/free/en/papers/foster-2007-mixture-model-adaptation-smt/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**George Foster, Roland Kuhn*2007 · 398 citations*
158. [**UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training arXiv:2002.12804**Hangbo Bao, Li Dong, Furu Wei, et al.*2020 · 395 citations*](https://md.research.elamur.ai/free/en/papers/bao-2020-unilmv2-pseudo-masked-language-models/)
159. **[Towards Emotional Support Dialog Systems](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siyang Liu, Chujie Zheng, Orianna Demasi, et al.*2021 · 392 citations*
160. **[BPE-Dropout: Simple and Effective Subword Regularization](https://md.research.elamur.ai/free/en/papers/provilkov-2020-bpe-dropout-simple-effective-subword/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ivan Provilkov, Dmitrii Emelianenko, Elena Voita*2020 · 391 citations*
161. [**Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics**Nitika Mathur, Timothy Baldwin, Trevor Cohn*2020 · 387 citations*](https://md.research.elamur.ai/free/en/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/)
162. [**A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model**Libin Shen, Jinxi Xu, Ralph Weischedel*2008 · 383 citations*](https://md.research.elamur.ai/free/en/papers/shen-2008-new-string-dependency-machine-translation/)
163. **[Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks](https://md.research.elamur.ai/free/en/papers/zhao-2018-paragraph-level-neural-question-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.*2018 · 377 citations*
164. **[Crowdsourcing Translation: Professional Quality from Non-Professionals](https://md.research.elamur.ai/free/en/papers/zaidan-2011-crowdsourcing-translation-professional-quality-non/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Omar F. Zaidan, Chris Callison-Burch*2011 · 377 citations*
165. **[cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models](https://md.research.elamur.ai/free/en/papers/dyer-2010-cdec-decoder-alignment-learning-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chris Dyer, Adam Lopez, Juri Ganitkevitch, et al.*2010 · 374 citations*
166. [**Massively Multilingual Neural Machine Translation arXiv:1903.00089**Roee Aharoni, Melvin Johnson, Orhan Firat*2019 · 372 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2019-massively-multilingual-neural-machine-translation/)
167. **[Question Generation for Question Answering](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nan Duan, Duyu Tang, Peng Chen, et al.*2017 · 372 citations*
168. [**Training Tips for the Transformer Model arXiv:1804.00247 · The Prague Bulletin of Mathematical Linguistics 110, April 2018, pp. 43-70**Martin Popel, Ondřej Bojar*2018 · 370 citations*](https://md.research.elamur.ai/free/en/papers/popel-2018-training-tips-transformer-model/)
169. [**Augmented Language Models: a Survey arXiv:2302.07842**Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.*2023 · 369 citations*](https://md.research.elamur.ai/free/en/papers/mialon-2023-augmented-language-models-survey/)
170. [**A Survey on Large Language Models for Code Generation arXiv:2406.00515**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 367 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/)
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