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# Works of United Kingdom

894 · page 5 of 9 · the most cited first · [← United Kingdom](https://md.research.elamur.ai/free/en/countries/united-kingdom/)

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401. [**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/)
402. [**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/)
403. [**Specialising Word Vectors for Lexical Entailment**Ivan Vulić, Nikola Mrkšić*2018 · 160 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2018-specialising-word-vectors-lexical-entailment/)
404. [**Unsupervised Translation of Programming Languages**Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/lachaux-2020-unsupervised-translation-programming-languages/)
405. [**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/)
406. [**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/)
407. [**Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?**Ivan Vulić, Goran Glavaš, Roi Reichart, et al.*2019 · 157 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2019-do-we-really-need-fully/)
408. [**MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models**Peng Xu, Mostofa Patwary, Mohammad Shoeybi, et al.*2020 · 157 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-megatron-cntrl-controllable-story-generation/)
409. [**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/)
410. [**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/)
411. [**A Comparison of Techniques to Automatically Identify Complex Words.**Matthew Shardlow*2013 · 156 citations*](https://md.research.elamur.ai/free/en/papers/shardlow-2013-comparison-techniques-automatically-identify-complex/)
412. [**Reducing Quantity Hallucinations in Abstractive Summarization**Zheng Zhao, Shay B. Cohen, Bonnie Webber*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2020-reducing-quantity-hallucinations-abstractive-summarization/)
413. [**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/)
414. [**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/)
415. [**Semantic Frame Identification with Distributed Word Representations**Karl Moritz Hermann, Dipanjan Das, Jason Weston, et al.*2014 · 154 citations*](https://md.research.elamur.ai/free/en/papers/hermann-2014-semantic-frame-identification-distributed-word/)
416. [**Locally Typical Sampling**Clara Meister, Tiago Pimentel, Gian Wiher, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/meister-2023-locally-typical-sampling/)
417. [**Compositional Sequence Labeling Models for Error Detection in Learner Writing**Marek Rei, Helen Yannakoudakis*2016 · 154 citations*](https://md.research.elamur.ai/free/en/papers/rei-2016-compositional-sequence-labeling-models-error/)
418. [**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/)
419. [**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/)
420. [**FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/)
421. [**Extractive Opinion Summarization in Quantized Transformer Spaces**Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, et al.*2021 · 151 citations*](https://md.research.elamur.ai/free/en/papers/angelidis-2021-extractive-opinion-summarization-quantized-transformer/)
422. [**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/)
423. [**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/)
424. [**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/)
425. [**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/)
426. [**Regularization techniques for fine-tuning in neural machine translation**Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, et al.*2017 · 150 citations*](https://md.research.elamur.ai/free/en/papers/barone-2017-regularization-techniques-fine-tuning-neural/)
427. [**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/)
428. [**HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/)
429. [**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/)
430. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/)
431. [**Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders**Fangyu Liu, Ivan Vulić, Anna Korhonen, et al.*2021 · 147 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-fast-effective-self-supervised-transforming/)
432. [**Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles**Yao Lu, Yue Dong, Laurent Charlin*2020 · 147 citations*](https://md.research.elamur.ai/free/en/papers/lu-2020-multi-xscience-large-scale-dataset/)
433. [**Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation**Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/mosbach-2023-few-shot-fine-tuning-vs/)
434. [**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/)
435. [**Introducing CAD: the Contextual Abuse Dataset**Bertie Vidgen, Dong Nguyen, Helen Margetts, et al.*2021 · 147 citations*](https://md.research.elamur.ai/free/en/papers/vidgen-2021-introducing-cad-contextual-abuse-dataset/)
436. [**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/)
437. [**UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering**Barlas Oguz, Xilun Chen, Vladimir Karpukhin, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/oguz-2022-unik-qa-unified-representations-structured/)
438. [**Efficient Methods for Natural Language Processing: A Survey**Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/treviso-2023-efficient-methods-natural-language-processing/)
439. [**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/)
440. [**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/)
441. [**Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning**Tommaso Fornaciari, Alexandra Uma, Silviu Paun, et al.*2021 · 143 citations*](https://md.research.elamur.ai/free/en/papers/fornaciari-2021-beyond-black-white-leveraging-annotator/)
442. [**Towards Robustness of Text-to-SQL Models against Synonym Substitution**Yujian Gan, Xinyun Chen, Qiuping Huang, et al.*2021 · 143 citations*](https://md.research.elamur.ai/free/en/papers/gan-2021-robustness-text-sql-models-against/)
443. [**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/)
444. [**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/)
445. [**IndicBART: A Pre-trained Model for Indic Natural Language Generation**Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, et al.*2022 · 141 citations*](https://md.research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/)
446. [**SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense**J. A. Meaney, Steven Wilson, Luis Chiruzzo, et al.*2021 · 141 citations*](https://md.research.elamur.ai/free/en/papers/meaney-2021-semeval-2021-task-7-hahackathon/)
447. [**Paragraph-level Simplification of Medical Texts**Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.*2021 · 140 citations*](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/)
448. [**FaithDial: A Faithful Benchmark for Information-Seeking Dialogue**Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.*2022 · 138 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-faithdial-faithful-benchmark-information-seeking/)
449. [**Question Answering by Reasoning Across Documents with Graph Convolutional Networks**Nicola De Cao, Wilker Aziz, Ivan Titov*2019 · 136 citations*](https://md.research.elamur.ai/free/en/papers/cao-2019-question-answering-reasoning-across-documents/)
450. [**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/)
451. [**Morphological Annotation of Quranic Arabic**Kais Dukes, Nizar Habash*2010 · 135 citations*](https://md.research.elamur.ai/free/en/papers/dukes-2010-morphological-annotation-quranic-arabic/)
452. [**Learning Simplifications for Specific Target Audiences**Carolina Scarton, Lucia Specia*2018 · 135 citations*](https://md.research.elamur.ai/free/en/papers/scarton-2018-learning-simplifications-specific-target-audiences/)
453. [**Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description**Desmond Elliott, Stella Frank, Loïc Barrault, et al.*2017 · 134 citations*](https://md.research.elamur.ai/free/en/papers/elliott-2017-findings-second-shared-task-multimodal/)
454. [**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/)
455. [**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/)
456. [**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/)
457. [**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/)
458. [**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/)
459. [**Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics**Paula Czarnowska, Yogarshi Vyas, Kashif Shah*2021 · 131 citations*](https://md.research.elamur.ai/free/en/papers/czarnowska-2021-quantifying-social-biases-nlp-generalization/)
460. [**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/)
461. [**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/)
462. [**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/)
463. [**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/)
464. [**Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback**Yao Fu, Hao Peng, Tushar Khot, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-improving-language-model-negotiation-self/)
465. [**Comparing Bayesian Models of Annotation**Silviu Paun, Bob Carpenter, Jon Chamberlain, et al.*2018 · 130 citations*](https://md.research.elamur.ai/free/en/papers/paun-2018-comparing-bayesian-models-annotation/)
466. [**You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings**Zeerak Talat, Aurélie Névéol, Stella Biderman, et al.*2022 · 130 citations*](https://md.research.elamur.ai/free/en/papers/talat-2022-you-reap-what-you-sow/)
467. [**MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer**Alan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, et al.*2021 · 129 citations*](https://md.research.elamur.ai/free/en/papers/ansell-2021-mad-g-multilingual-adapter-generation/)
468. [**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/)
469. [**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/)
470. [**Interpretable Neural Predictions with Differentiable Binary Variables**Jasmijn Bastings, Wilker Aziz, Ivan Titov*2019 · 127 citations*](https://md.research.elamur.ai/free/en/papers/bastings-2019-interpretable-neural-predictions-differentiable-binary/)
471. [**OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text**Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.*2023 · 125 citations*](https://md.research.elamur.ai/free/en/papers/paster-2023-openwebmath-open-dataset-high-quality/)
472. [**LM vs LM: Detecting Factual Errors via Cross Examination**Roi Cohen, May Hamri, Mor Geva, et al.*2023 · 124 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2023-lm-vs-lm-detecting-factual/)
473. [**Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization**Yujian Gan, Xinyun Chen, Matthew Purver*2021 · 123 citations*](https://md.research.elamur.ai/free/en/papers/gan-2021-exploring-underexplored-limitations-cross-domain/)
474. [**Revisiting the Uniform Information Density Hypothesis**Clara Meister, Tiago Pimentel, Patrick Haller, et al.*2021 · 123 citations*](https://md.research.elamur.ai/free/en/papers/meister-2021-revisiting-uniform-information-density-hypothesis/)
475. [**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/)
476. [**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/)
477. [**Measuring Word Meaning in Context**Katrin Erk, Diana McCarthy, Nicholas Gaylord*2013 · 122 citations*](https://md.research.elamur.ai/free/en/papers/erk-2013-measuring-word-meaning-context/)
478. [**Movie Script Summarization as Graph-based Scene Extraction**Philip John Gorinski, Mirella Lapata*2015 · 122 citations*](https://md.research.elamur.ai/free/en/papers/gorinski-2015-movie-script-summarization-as-graph/)
479. [**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/)
480. [**DePlot: One-shot visual language reasoning by plot-to-table translation**Fangyu Liu, Julian Eisenschlos, Francesco Piccinno, et al.*2023 · 121 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-deplot-one-shot-visual-language/)
481. [**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/)
482. [**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/)
483. [**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/)
484. [**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/)
485. [**Constructing Corpora for the Development and Evaluation of Paraphrase Systems**Trevor Cohn, Chris Callison-Burch, Mirella Lapata*2008 · 118 citations*](https://md.research.elamur.ai/free/en/papers/cohn-2008-constructing-corpora-development-evaluation-paraphrase/)
486. [**Pretraining Language Models with Human Preferences**Tomasz Korbak, Kejian Shi, Angelica Chen, et al.*2023 · 118 citations*](https://md.research.elamur.ai/free/en/papers/korbak-2023-pretraining-language-models-human-preferences/)
487. [**A Probabilistic Account of Logical Metonymy**Maria Lapata, Alex Lascarides*2003 · 118 citations*](https://md.research.elamur.ai/free/en/papers/lapata-2003-probabilistic-account-logical-metonymy/)
488. [**An Incremental Parser for Abstract Meaning Representation**Marco Damonte, Shay B. Cohen, Giorgio Satta*2017 · 117 citations*](https://md.research.elamur.ai/free/en/papers/damonte-2017-incremental-parser-abstract-meaning-representation/)
489. [**On Incrementality in Dialogue: Evidence from Compound Contributions**Christine Howes, Matthew Purver, Patrick G. T. Healey, et al.*2011 · 116 citations*](https://md.research.elamur.ai/free/en/papers/howes-2011-incrementality-dialogue-evidence-compound-contributions/)
490. [**Quantifying the Persona Effect in LLM Simulations**Tiancheng Hu, Nigel Collier*2024 · 116 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-quantifying-persona-effect-llm-simulations/)
491. [**Event coreference for information extraction**Kevin Humphreys, Robert Gaizauskas, Saliha Azzam*1997 · 116 citations*](https://md.research.elamur.ai/free/en/papers/humphreys-1997-event-coreference-information-extraction/)
492. [**Resolving bridging references in unrestricted text**Massimo Poesio, Renata Vieira, Simone Teufel*1997 · 116 citations*](https://md.research.elamur.ai/free/en/papers/poesio-1997-resolving-bridging-references-unrestricted-text/)
493. [**Intrinsic Bias Metrics Do Not Correlate with Application Bias**Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, et al.*2021 · 116 citations*](https://md.research.elamur.ai/free/en/papers/tarrant-2021-intrinsic-bias-metrics-do-not/)
494. [**Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature**Tomas Goldsack, Zhihao Zhang, Chenghua Lin, et al.*2022 · 115 citations*](https://md.research.elamur.ai/free/en/papers/goldsack-2022-making-science-simple-corpora-lay/)
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