---
title: "Google — works, page 3"
description: "272 works by researchers of Google in our library · page 3 of 3, the most cited first."
canonical: "https://research.elamur.ai/free/en/companies/google/works/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/google/works/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / [Google](https://md.research.elamur.ai/free/en/companies/google/) / [works](https://md.research.elamur.ai/free/en/companies/google/works/) / page 3

# Works of Google

272 works · page 3 of 3 · the most cited first · [← Google](https://md.research.elamur.ai/free/en/companies/google/)

[← prev](https://md.research.elamur.ai/free/en/companies/google/works/page/2/) [1](https://md.research.elamur.ai/free/en/companies/google/works/) [2](https://md.research.elamur.ai/free/en/companies/google/works/page/2/) **3**

201. [**Analyzing Uncertainty in Neural Machine Translation**Myle Ott, Michael Auli, David Grangier, et al.*2018 · 190 citations*](https://md.research.elamur.ai/free/en/papers/ott-2018-analyzing-uncertainty-neural-machine-translation/)
202. [**Mesh-TensorFlow: Deep Learning for Supercomputers**Noam Shazeer, Youlong Cheng, Niki Parmar, et al.*2018 · 182 citations*](https://md.research.elamur.ai/free/en/papers/shazeer-2018-mesh-tensorflow-deep-learning-supercomputers/)
203. [**Planning with Learned Entity Prompts for Abstractive Summarization**Shashi Narayan, Yao Zhao, Joshua Maynez, et al.*2021 · 180 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2021-planning-learned-entity-prompts-abstractive/)
204. [**Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/)
205. [**Translation Artifacts in Cross-lingual Transfer Learning**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2020 · 175 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2020-translation-artifacts-cross-lingual-transfer/)
206. [**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/)
207. [**Investigating Multilingual NMT Representations at Scale**Sneha Kudugunta, Ankur Bapna, Isaac Caswell, et al.*2019 · 174 citations*](https://md.research.elamur.ai/free/en/papers/kudugunta-2019-investigating-multilingual-nmt-representations-scale/)
208. [**UNKs Everywhere: Adapting Multilingual Language Models to New Scripts**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2021 · 174 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/)
209. [**Tensor2Tensor for Neural Machine Translation**Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al.*2018 · 174 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2018-tensor2tensor-neural-machine-translation/)
210. [**Language Models are Few-shot Multilingual Learners**Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, et al.*2021 · 173 citations*](https://md.research.elamur.ai/free/en/papers/winata-2021-language-models-are-few-shot/)
211. [**SemEval-2021 Task 5: Toxic Spans Detection**John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, et al.*2021 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pavlopoulos-2021-semeval-2021-task-5-toxic/)
212. [**Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/)
213. [**On Releasing Annotator-Level Labels and Information in Datasets**Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Diaz*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/prabhakaran-2021-releasing-annotator-level-labels-information/)
214. [**Promptagator: Few-shot Dense Retrieval From 8 Examples**Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.*2022 · 167 citations*](https://md.research.elamur.ai/free/en/papers/dai-2022-promptagator-few-shot-dense-retrieval/)
215. [**Effective Parallel Corpus Mining using Bilingual Sentence Embeddings**Mandy Guo, Qinlan Shen, Yinfei Yang, et al.*2018 · 166 citations*](https://md.research.elamur.ai/free/en/papers/guo-2018-effective-parallel-corpus-mining-bilingual/)
216. [**CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims**Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, et al.*2020 · 157 citations*](https://md.research.elamur.ai/free/en/papers/diggelmann-2020-climate-fever-dataset-verification-real/)
217. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
218. [**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/)
219. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
220. [**Large Language Models with Controllable Working Memory**Daliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-large-language-models-controllable-working/)
221. [**SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training**Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.*2025 · 151 citations*](https://md.research.elamur.ai/free/en/papers/chu-2025-sft-memorizes-rl-generalizes-comparative/)
222. [**Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models**Sameer Singh, Amarnag Subramanya, Fernando Pereira, et al.*2011 · 151 citations*](https://md.research.elamur.ai/free/en/papers/singh-2011-large-scale-cross-document-coreference/)
223. [**MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/)
224. [**The Role of Context Types and Dimensionality in Learning Word Embeddings**Oren Melamud, David McClosky, Siddharth Patwardhan, et al.*2016 · 144 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-role-context-types-dimensionality-learning/)
225. [**Rethinking embedding coupling in pre-trained language models**Hyung Won Chung, Thibault Févry, Henry Tsai, et al.*2020 · 142 citations*](https://md.research.elamur.ai/free/en/papers/chung-2020-rethinking-embedding-coupling-pre-trained/)
226. [**Large-Scale QA-SRL Parsing**Nicholas FitzGerald, Julian Michael, Luheng He, et al.*2018 · 141 citations*](https://md.research.elamur.ai/free/en/papers/fitzgerald-2018-large-scale-qa-srl-parsing/)
227. [**Exploring Length Generalization in Large Language Models**Cem Anil, Yuhuai Wu, Anders Andreassen, et al.*2022 · 138 citations*](https://md.research.elamur.ai/free/en/papers/anil-2022-exploring-length-generalization-large-language/)
228. [**Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models**Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2022-attributed-question-answering-evaluation-modeling/)
229. [**SLiC-HF: Sequence Likelihood Calibration with Human Feedback**Yao Zhao, Rishabh Joshi, Tianqi Liu, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-slic-hf-sequence-likelihood-calibration/)
230. [**Learning Compact Metrics for MT**Amy Pu, Hyung Won Chung, Ankur Parikh, et al.*2021 · 130 citations*](https://md.research.elamur.ai/free/en/papers/pu-2021-learning-compact-metrics-mt/)
231. [**NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis**Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.*2022 · 127 citations*](https://md.research.elamur.ai/free/en/papers/muhammad-2022-naijasenti-nigerian-twitter-sentiment-corpus/)
232. [**A Recipe For Arbitrary Text Style Transfer with Large Language Models**Emily Reif, Daphne Ippolito, Ann Yuan, et al.*2021 · 125 citations*](https://md.research.elamur.ai/free/en/papers/reif-2021-recipe-arbitrary-text-style-transfer/)
233. [**INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback**Wenda Xu, Danqing Wang, Liangming Pan, et al.*2023 · 122 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-instructscore-explainable-text-generation-evaluation/)
234. [**High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics**Markus Freitag, David Grangier, Qijun Tan, et al.*2022 · 120 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2022-high-quality-rather-than-high/)
235. [**Encode, Tag, Realize: High-Precision Text Editing**Eric Malmi, Sebastian Krause, Sascha Rothe, et al.*2019 · 118 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2019-encode-tag-realize-high-precision/)
236. [**Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection**Wei Wang, Taro Watanabe, Macduff Hughes, et al.*2018 · 115 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-denoising-neural-machine-translation-training/)
237. [**Entity Linking in 100 Languages**Jan A. Botha, Zifei Shan, Daniel Gillick*2020 · 114 citations*](https://md.research.elamur.ai/free/en/papers/botha-2020-entity-linking-100-languages/)
238. [**Crowdsourcing Question-Answer Meaning Representations**Julian Michael, Gabriel Stanovsky, Luheng He, et al.*2018 · 112 citations*](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/)
239. [**Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus**Isaac Caswell, Theresa Breiner, Daan van Esch, et al.*2020 · 111 citations*](https://md.research.elamur.ai/free/en/papers/caswell-2020-language-id-wild-unexpected/)
240. [**V-STaR: Training Verifiers for Self-Taught Reasoners**Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.*2024 · 111 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2024-v-star-training-verifiers-self/)
241. [**APE at Scale and Its Implications on MT Evaluation Biases**Markus Freitag, Isaac Caswell, Scott Roy*2019 · 107 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2019-ape-scale-its-implications-mt/)
242. [**Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task**Markus Freitag, Nitika Mathur, Daniel Deutsch, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/)
243. [**Inverse Scaling: When Bigger Isn't Better**Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.*2023 · 99 citations*](https://md.research.elamur.ai/free/en/papers/mckenzie-2023-inverse-scaling-bigger-isn-t/)
244. [**The First Multilingual Surface Realisation Shared Task (SR'18): Overview and Evaluation Results**Simon Mille, Anja Belz, Bernd Bohnet, et al.*2018 · 86 citations*](https://md.research.elamur.ai/free/en/papers/mille-2018-first-multilingual-surface-realisation-shared/)
245. [**Evaluation of Dependency Parsers on Unbounded Dependencies**Joakim Nivre, Laura Rimell, Ryan McDonald, et al.*2010 · 85 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2010-evaluation-dependency-parsers-unbounded-dependencies/)
246. [**A New Entity Salience Task with Millions of Training Examples**Jesse Dunietz, Daniel Gillick*2014 · 80 citations*](https://md.research.elamur.ai/free/en/papers/dunietz-2014-new-entity-salience-task-millions/)
247. [**Coreference Resolution through a seq2seq Transition-Based System**Bernd Bohnet, Chris Alberti, Michael Collins*2023 · 77 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2023-coreference-resolution-through-seq2seq-transition/)
248. [**Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets**Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/)
249. [**Learning-based Multi-Sieve Co-reference Resolution with Knowledge**Lev Ratinov, Dan Roth*2012 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ratinov-2012-learning-based-multi-sieve-co/)
250. [**A Neural Architecture for Dialectal Arabic Segmentation**Younes Samih, Mohammed Attia, Mohamed Eldesouki, et al.*2017 · 70 citations*](https://md.research.elamur.ai/free/en/papers/samih-2017-neural-architecture-dialectal-arabic-segmentation/)
251. [**"I'd rather just go to bed": Understanding Indirect Answers**Annie Louis, Dan Roth, Filip Radlinski*2020 · 70 citations*](https://md.research.elamur.ai/free/en/papers/louis-2020-i-d-rather-just-go/)
252. [**Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering**Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al.*2021 · 63 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/)
253. [**Understanding Transformer Memorization Recall Through Idioms**Adi Haviv, Ido Cohen, Jacob Gidron, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/haviv-2023-understanding-transformer-memorization-recall-through/)
254. [**Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task**Thibault Sellam, Amy Pu, Hyung Won Chung, et al.*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/sellam-2020-learning-evaluate-translation-beyond-english/)
255. [**Bridging the Preference Gap between Retrievers and LLMs**Zixuan Ke, Weize Kong, Cheng Li, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/ke-2024-bridging-preference-gap-between-retrievers/)
256. [**Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B**Jiaming Luo, Yuan Cao, Regina Barzilay*2019 · 43 citations*](https://md.research.elamur.ai/free/en/papers/luo-2019-neural-decipherment-minimum-cost-flow/)
257. [**Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank**Kai Zhao, Liang Huang*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2017-joint-syntacto-discourse-parsing-syntacto/)
258. [**WikiCREM: A Large Unsupervised Corpus for Coreference Resolution**Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, et al.*2019 · 41 citations*](https://md.research.elamur.ai/free/en/papers/kocijan-2019-wikicrem-large-unsupervised-corpus-coreference/)
259. [**Automatic Prediction of Discourse Connectives**Eric Malmi, Daniele Pighin, Sebastian Krause, et al.*2018 · 38 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2018-automatic-prediction-discourse-connectives/)
260. [**FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation**Parker Riley, Timothy Dozat, Jan A. Botha, et al.*2023 · 33 citations*](https://md.research.elamur.ai/free/en/papers/riley-2023-frmt-benchmark-few-shot-region/)
261. [**Deciphering Undersegmented Ancient Scripts Using Phonetic Prior**Jiaming Luo, Frederik Hartmann, Enrico Santus, et al.*2021 · 29 citations*](https://md.research.elamur.ai/free/en/papers/luo-2021-deciphering-undersegmented-ancient-scripts-phonetic/)
262. [**Exploring the steps of Verb Phrase Ellipsis**Zhengzhong Liu, Edgar Gonzàlez Pellicer, Daniel Gillick*2016 · 25 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-exploring-steps-verb-phrase-ellipsis/)
263. [**Scaling Within Document Coreference to Long Texts**Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, et al.*2021 · 24 citations*](https://md.research.elamur.ai/free/en/papers/thirukovalluru-2021-scaling-within-document-coreference-long/)
264. [**KoBE: Knowledge-Based Machine Translation Evaluation**Zorik Gekhman, Roee Aharoni, Genady Beryozkin, et al.*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/gekhman-2020-kobe-knowledge-based-machine-translation/)
265. [**The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results**Simon Mille, Anya Belz, Bernd Bohnet, et al.*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/mille-2020-third-multilingual-surface-realisation-shared/)
266. [**Rewarding Coreference Resolvers for Being Consistent with World Knowledge**Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, et al.*2019 · 16 citations*](https://md.research.elamur.ai/free/en/papers/aralikatte-2019-rewarding-coreference-resolvers-being-consistent/)
267. [**Sense Anaphoric Pronouns: Am I One?**Marta Recasens, Zhichao Hu, Olivia Rhinehart*2016 · 14 citations*](https://md.research.elamur.ai/free/en/papers/recasens-2016-sense-anaphoric-pronouns-am-i/)
268. [**SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?**Senyu Li, Jiayi Wang, Felermino D. M. A. Ali, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-ssa-comet-do-llms-outperform/)
269. [**T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation**Anubhav Jangra, Preksha Nema, Aravindan Raghuveer*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/jangra-2022-t-star-truthful-style-transfer/)
270. [**Multilingual Sequence-to-Sequence Models for Hebrew NLP**Matan Eyal, Hila Noga, Roee Aharoni, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2023-multilingual-sequence-sequence-models-hebrew/)
271. [**Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)**Su Lin Blodgett, Amanda Cercas Curry, Sunipa Dev, et al.*2025*](https://md.research.elamur.ai/free/en/papers/blodgett-2025-proceedings-fourth-workshop-bridging-human/)
272. [**Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus**Run Chen, Zihao Tao, John Prado, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chen-2026-completing-validating-re-aligned-switchboard/)

[← prev](https://md.research.elamur.ai/free/en/companies/google/works/page/2/) [1](https://md.research.elamur.ai/free/en/companies/google/works/) [2](https://md.research.elamur.ai/free/en/companies/google/works/page/2/) **3**

- [← back to](https://md.research.elamur.ai/free/en/companies/google/) — Google