---
title: "United Kingdom — works, page 4"
description: "Works of United Kingdom: 707 in our library · page 4 of 8, the most cited first."
canonical: "https://research.elamur.ai/free/en/countries/united-kingdom/works/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/countries/united-kingdom/works/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [countries](https://md.research.elamur.ai/free/en/countries/) / [United Kingdom](https://md.research.elamur.ai/free/en/countries/united-kingdom/) / [works](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/) / page 4

# Works of United Kingdom

707 · page 4 of 8 · the most cited first · [← United Kingdom](https://md.research.elamur.ai/free/en/countries/united-kingdom/)

[← prev](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/3/) [1](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/) [2](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/2/) [3](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/3/) **4** [5](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/5/) … [8](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/8/) [next →](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/5/)

301. [**Nematus: a Toolkit for Neural Machine Translation**Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al.*2017 · 202 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/)
302. [**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/)
303. [**Measuring Attribution in Natural Language Generation Models**Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, et al.*2023 · 198 citations*](https://md.research.elamur.ai/free/en/papers/rashkin-2023-measuring-attribution-natural-language-generation/)
304. [**A General Framework for Distributional Similarity**Julie Weeds, David Weir*2003 · 198 citations*](https://md.research.elamur.ai/free/en/papers/weeds-2003-general-framework-distributional-similarity/)
305. [**Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity**Julie Weeds, David Weir*2005 · 198 citations*](https://md.research.elamur.ai/free/en/papers/weeds-2005-co-occurrence-retrieval-flexible-framework/)
306. [**Anaphoric Annotation in the ARRAU Corpus**Massimo Poesio, Ron Artstein*2008 · 197 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2008-anaphoric-annotation-arrau-corpus/)
307. [**On NMT Search Errors and Model Errors: Cat Got Your Tongue?**Felix Stahlberg, Bill Byrne*2019 · 197 citations*](https://md.research.elamur.ai/free/en/papers/stahlberg-2019-nmt-search-errors-model-errors/)
308. [**Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem**Danielle Saunders, Bill Byrne*2020 · 196 citations*](https://md.research.elamur.ai/free/en/papers/saunders-2020-reducing-gender-bias-neural-machine/)
309. [**Statistical Metaphor Processing**Ekaterina Shutova, Simone Teufel, Anna Korhonen*2013 · 196 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2013-statistical-metaphor-processing/)
310. [**SemEval-2010 Task 14: Word Sense Induction &Disambiguation**Suresh Manandhar, Ioannis Klapaftis, Dmitriy Dligach, et al.*2010 · 194 citations*](https://md.research.elamur.ai/free/en/papers/manandhar-2010-semeval-2010-task-14-word/)
311. [**Graph Convolutional Encoders for Syntax-aware Neural Machine Translation**Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.*2017 · 190 citations*](https://md.research.elamur.ai/free/en/papers/bastings-2017-graph-convolutional-encoders-syntax-aware/)
312. [**Word Sense Induction for Novel Sense Detection**Jey Han Lau, Paul Cook, Diana McCarthy, et al.*2012 · 187 citations*](https://md.research.elamur.ai/free/en/papers/lau-2012-word-sense-induction-novel-sense/)
313. [**CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2016 · 187 citations*](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/)
314. [**Estimating Linear Models for Compositional Distributional Semantics**Fabio Massimo Zanzotto, Ioannis Korkontzelos, Francesca Fallucchi, et al.*2010 · 187 citations*](https://md.research.elamur.ai/free/en/papers/zanzotto-2010-estimating-linear-models-compositional-distributional/)
315. [**We Need to Consider Disagreement in Evaluation**Valerio Basile, Michael Fell, Tommaso Fornaciari, et al.*2021 · 185 citations*](https://md.research.elamur.ai/free/en/papers/basile-2021-we-need-consider-disagreement-evaluation/)
316. [**Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings**Annette Rios Gonzales, Laura Mascarell, Rico Sennrich*2017 · 185 citations*](https://md.research.elamur.ai/free/en/papers/gonzales-2017-improving-word-sense-disambiguation-neural/)
317. [**SemEval-2023 Task 10: Explainable Detection of Online Sexism**Hannah Kirk, Wenjie Yin, Bertie Vidgen, et al.*2023 · 185 citations*](https://md.research.elamur.ai/free/en/papers/kirk-2023-semeval-2023-task-10-explainable/)
318. [**Multi-level Translation Quality Prediction with QuEst++**Lucia Specia, Gustavo Paetzold, Carolina Scarton*2015 · 184 citations*](https://md.research.elamur.ai/free/en/papers/specia-2015-multi-level-translation-quality-prediction/)
319. [**Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering**Philipp Koehn, Huda Khayrallah, Kenneth Heafield, et al.*2018 · 181 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2018-findings-wmt-2018-shared-task/)
320. [**Pre-training via Paraphrasing**Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pre-training-paraphrasing/)
321. [**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/)
322. [**Semantics-Based Machine Translation with Hyperedge Replacement Grammars**Bevan Jones, Jacob Andreas, Daniel Bauer, et al.*2012 · 180 citations*](https://md.research.elamur.ai/free/en/papers/jones-2012-semantics-based-machine-translation-hyperedge/)
323. [**Knowledge Conflicts for LLMs: A Survey**Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.*2024 · 179 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/)
324. [**The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task**Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, et al.*2021 · 178 citations*](https://md.research.elamur.ai/free/en/papers/aly-2021-fact-extraction-verification-over-unstructured/)
325. [**8-bit Optimizers via Block-wise Quantization**Tim Dettmers, Mike Lewis, Sam Shleifer, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/dettmers-2021-8-bit-optimizers-block-wise/)
326. [**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/)
327. [**Discourse Relations and Defeasible Knowledge**Alex Lascarides, Nicholas Asher*1991 · 177 citations*](https://md.research.elamur.ai/free/en/papers/lascarides-1991-discourse-relations-defeasible-knowledge/)
328. [**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/)
329. [**A* CCG Parsing with a Supertag-factored Model**Mike Lewis, Mark Steedman*2014 · 175 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2014-ccg-parsing-supertag-factored-model/)
330. [**Debiasing Pre-trained Contextualised Embeddings**Masahiro Kaneko, Danushka Bollegala*2021 · 174 citations*](https://md.research.elamur.ai/free/en/papers/kaneko-2021-debiasing-pre-trained-contextualised-embeddings/)
331. [**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/)
332. [**The First Surface Realisation Shared Task: Overview and Evaluation Results**Anja Belz, Michael White, Dominic Espinosa, et al.*2011 · 172 citations*](https://md.research.elamur.ai/free/en/papers/belz-2011-first-surface-realisation-shared-task/)
333. [**Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network**Bin Liang, Chenwei Lou, Xiang Li, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/liang-2022-multi-modal-sarcasm-detection-cross/)
334. [**Neural Machine Translation Decoding with Terminology Constraints**Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, et al.*2018 · 170 citations*](https://md.research.elamur.ai/free/en/papers/hasler-2018-neural-machine-translation-decoding-terminology/)
335. [**Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2018 · 169 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2018-language-identification-morphosyntactic-tagging-second/)
336. [**Graph Connectivity Measures for Unsupervised Word Sense Disambiguation**Roberto Navigli, Mirella Lapata*2007 · 168 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2007-graph-connectivity-measures-unsupervised-word/)
337. [**Offensive Language Identification in Greek**Zesis Pitenis, Marcos Zampieri, Tharindu Ranasinghe*2020 · 168 citations*](https://md.research.elamur.ai/free/en/papers/pitenis-2020-offensive-language-identification-greek/)
338. [**Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases**Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.*2021 · 167 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-paragraph-level-rationale-extraction-through/)
339. [**Data Augmentation via Dependency Tree Morphing for Low-Resource Languages**Gözde Gül Şahin, Mark Steedman*2018 · 166 citations*](https://md.research.elamur.ai/free/en/papers/sahin-2018-data-augmentation-dependency-tree-morphing/)
340. [**DeepProbLog: Neural Probabilistic Logic Programming**Robin Manhaeve, Sebastijan Dumančić, Angelika Kimmig, et al.*2018 · 166 citations*](https://md.research.elamur.ai/free/en/papers/manhaeve-2018-deepproblog-neural-probabilistic-logic/)
341. [**Aiding Pronoun Translation with Co-Reference Resolution**Ronan Le Nagard, Philipp Koehn*2010 · 165 citations*](https://md.research.elamur.ai/free/en/papers/nagard-2010-aiding-pronoun-translation-co-reference/)
342. [**Dirt Cheap Web-Scale Parallel Text from the Common Crawl**Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, et al.*2013 · 165 citations*](https://md.research.elamur.ai/free/en/papers/smith-2013-dirt-cheap-web-scale-parallel/)
343. [**Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings**Mikel Artetxe, Holger Schwenk*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2019-margin-based-parallel-corpus-mining/)
344. [**Semantic Noise Matters for Neural Natural Language Generation**Ondřej Dušek, David M. Howcroft, Verena Rieser*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/dusek-2019-semantic-noise-matters-neural-natural/)
345. [**Controllable Text Simplification with Explicit Paraphrasing**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*2021 · 164 citations*](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/)
346. [**Metaphor Corpus Annotated for Source - Target Domain Mappings**Ekaterina Shutova, Simone Teufel*2010 · 164 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2010-metaphor-corpus-annotated-source-target/)
347. [**BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions**Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.*2024 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/)
348. [**EASSE: Easier Automatic Sentence Simplification Evaluation**Fernando Alva-Manchego, Louis Martin, Carolina Scarton, et al.*2019 · 162 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2019-easse-easier-automatic-sentence-simplification/)
349. [**Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition**Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/)
350. [**ChatGPT as a Factual Inconsistency Evaluator for Text Summarization**Zheheng Luo, Qianqian Xie, Sophia Ananiadou*2023 · 160 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-chatgpt-factual-inconsistency-evaluator-text/)
351. [**Findings of the WMT 2020 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2020 · 160 citations*](https://md.research.elamur.ai/free/en/papers/specia-2020-findings-wmt-2020-shared-task-2020-wmt-1-79/)
352. [**Testing the Predictions of Surprisal Theory in 11 Languages**Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2023-testing-predictions-surprisal-theory-11/)
353. [**Automatic Detection and Language Identification of Multilingual Documents**Marco Lui, Jey Han Lau, Timothy Baldwin*2014 · 157 citations*](https://md.research.elamur.ai/free/en/papers/lui-2014-automatic-detection-language-identification-multilingual/)
354. [**Unsupervised Translation of Programming Languages**Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/lachaux-2020-unsupervised-translation-programming-languages/)
355. [**The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2021 · 156 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2021-un-suitability-automatic-evaluation-metrics/)
356. [**Reflections on the Penn Discourse TreeBank, Comparable Corpora, and Complementary Annotation**Rashmi Prasad, Bonnie Webber, Aravind Joshi*2014 · 156 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2014-reflections-penn-discourse-treebank-comparable/)
357. [**SemEval-2021 Task 1: Lexical Complexity Prediction**Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, et al.*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/shardlow-2021-semeval-2021-task-1-lexical/)
358. [**The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition**Ahmed Ali, Peter Bell, James Glass, et al.*2016 · 154 citations*](https://md.research.elamur.ai/free/en/papers/ali-2016-mgb-2-challenge-arabic-multi/)
359. [**FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/)
360. [**Unsupervised Quality Estimation for Neural Machine Translation**Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, et al.*2020 · 153 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2020-unsupervised-quality-estimation-neural-machine/)
361. [**Convergence of Translation Memory and Statistical Machine Translation**Philipp Koehn, Jean Senellart*2010 · 153 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2010-convergence-translation-memory-statistical-machine/)
362. [**Locally Typical Sampling**Clara Meister, Tiago Pimentel, Gian Wiher, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/meister-2023-locally-typical-sampling/)
363. [**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/)
364. [**Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-will-they-won-t-they/)
365. [**Transition-Based Parsing of the Chinese Treebank using a Global Discriminative Model**Yue Zhang, Stephen Clark*2009 · 151 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2009-transition-based-parsing-chinese-treebank/)
366. [**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/)
367. [**Statistical Power and Translationese in Machine Translation Evaluation**Yvette Graham, Barry Haddow, Philipp Koehn*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/)
368. [**Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation**Nuno M. Guerreiro, Elena Voita, André Martins*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/)
369. [**How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs**Rico Sennrich*2017 · 147 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-how-grammatical-is-character-level/)
370. [**SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/)
371. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/)
372. [**Collective Classification for Fine-grained Information Status**Katja Markert, Yufang Hou, Michael Strube*2012 · 144 citations*](https://md.research.elamur.ai/free/en/papers/markert-2012-collective-classification-fine-grained-information/)
373. [**Learning to Resolve Bridging References**Massimo Poesio, Rahul Mehta, Axel Maroudas, et al.*2004 · 144 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2004-learning-resolve-bridging-references/)
374. [**RSTTool 2.4 - A markup Tool for Rhetorical Structure Theory**Michael O'Donnell*2000 · 142 citations*](https://md.research.elamur.ai/free/en/papers/donnell-2000-rsttool-2-4-markup-tool/)
375. [**In-Context Learning Creates Task Vectors**Roee Hendel, Mor Geva, Amir Globerson*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/hendel-2023-context-learning-creates-task-vectors/)
376. [**Paragraph-level Simplification of Medical Texts**Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.*2021 · 139 citations*](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/)
377. [**SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects**David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/)
378. [**Morphological Annotation of Quranic Arabic**Kais Dukes, Nizar Habash*2010 · 134 citations*](https://md.research.elamur.ai/free/en/papers/dukes-2010-morphological-annotation-quranic-arabic/)
379. [**Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models**Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.*2024 · 134 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2024-political-compass-or-spinning-arrow/)
380. [**Findings of the WMT 2018 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Varvara Logacheva, et al.*2018 · 134 citations*](https://md.research.elamur.ai/free/en/papers/specia-2018-findings-wmt-2018-shared-task/)
381. [**Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description**Desmond Elliott, Stella Frank, Loïc Barrault, et al.*2017 · 133 citations*](https://md.research.elamur.ai/free/en/papers/elliott-2017-findings-second-shared-task-multimodal/)
382. [**Experimenting with the king of France: Topics, verifiability and definite descriptions**Márta Abrusán, Kriszta Szendrői*2013 · 132 citations*](https://md.research.elamur.ai/free/en/papers/abrusan-2013-experimenting-king-france-topics-verifiability/)
383. [**Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation**Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.*2020 · 132 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2020-deep-encoder-shallow-decoder-reevaluating/)
384. [**Task-aware Retrieval with Instructions**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 131 citations*](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/)
385. [**Understanding the Effects of RLHF on LLM Generalisation and Diversity**Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.*2023 · 131 citations*](https://md.research.elamur.ai/free/en/papers/kirk-2023-understanding-effects-rlhf-llm-generalisation/)
386. [**Syntax-Guided Controlled Generation of Paraphrases**Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, et al.*2020 · 131 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2020-syntax-guided-controlled-generation-paraphrases/)
387. [**EuroLLM: Multilingual Language Models for Europe**Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/martins-2024-eurollm-multilingual-language-models-europe/)
388. [**MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation**Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz*2022 · 131 citations*](https://md.research.elamur.ai/free/en/papers/ye-2022-multiwoz-2-4-multi-domain/)
389. [**Findings of the WMT 2023 Shared Task on Quality Estimation**Frederic Blain, Chrysoula Zerva, Ricardo Rei, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/blain-2023-findings-wmt-2023-shared-task/)
390. [**Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback**Yao Fu, Hao Peng, Tushar Khot, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-improving-language-model-negotiation-self/)
391. [**Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention**Yang Liu, Sujian Li*2016 · 128 citations*](https://md.research.elamur.ai/free/en/papers/liu-2016-recognizing-implicit-discourse-relations-repeated/)
392. [**Interpretable Neural Predictions with Differentiable Binary Variables**Jasmijn Bastings, Wilker Aziz, Ivan Titov*2019 · 126 citations*](https://md.research.elamur.ai/free/en/papers/bastings-2019-interpretable-neural-predictions-differentiable-binary/)
393. [**OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text**Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.*2023 · 124 citations*](https://md.research.elamur.ai/free/en/papers/paster-2023-openwebmath-open-dataset-high-quality/)
394. [**A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation**Mathias Müller, Annette Rios, Elena Voita, et al.*2018 · 123 citations*](https://md.research.elamur.ai/free/en/papers/muller-2018-large-scale-test-set-evaluation/)
395. [**Machine Learning for Ancient Languages: A Survey**Thea Sommerschield, Yannis Assael, John Pavlopoulos, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/sommerschield-2023-machine-learning-ancient-languages-survey/)
396. [**Parsing Tweets into Universal Dependencies**Yijia Liu, Yi Zhu, Wanxiang Che, et al.*2018 · 121 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-parsing-tweets-into-universal-dependencies/)
397. [**Realization of Discourse Relations by Other Means: Alternative Lexicalizations**Rashmi Prasad, Aravind Joshi, Bonnie Webber*2010 · 120 citations*](https://md.research.elamur.ai/free/en/papers/prasad-2010-realization-discourse-relations-other-means/)
398. [**The Impact of Reasoning Step Length on Large Language Models**Mingyu Jin, Qinkai Yu, Dong Shu, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/jin-2024-impact-reasoning-step-length-large/)
399. [**JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection**Bin Liang, Qinglin Zhu, Xiang Li, et al.*2022 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2022-jointcl-joint-contrastive-learning-framework/)
400. [**Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules**Advaith Siddharthan, Angrosh Mandya*2014 · 119 citations*](https://md.research.elamur.ai/free/en/papers/siddharthan-2014-hybrid-text-simplification-synchronous-dependency/)

[← prev](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/3/) [1](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/) [2](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/2/) [3](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/3/) **4** [5](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/5/) … [8](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/8/) [next →](https://md.research.elamur.ai/free/en/countries/united-kingdom/works/page/5/)

- [← back to](https://md.research.elamur.ai/free/en/countries/united-kingdom/) — United Kingdom
