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# Works of United States

2809 · page 8 of 29 · the most cited first · [← United States](https://md.research.elamur.ai/free/en/countries/united-states/)

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701. [**Semi-Supervised Sequence Modeling with Cross-View Training**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 489 citations*](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/)
702. [**Multi-Prototype Vector-Space Models of Word Meaning**Joseph Reisinger, Raymond J. Mooney*2010 · 489 citations*](https://md.research.elamur.ai/free/en/papers/reisinger-2010-multi-prototype-vector-space-models/)
703. [**PCFG Models of Linguistic Tree Representations**Mark Johnson*1998 · 488 citations*](https://md.research.elamur.ai/free/en/papers/johnson-1998-pcfg-models-linguistic-tree-representations/)
704. [**BERT for Coreference Resolution: Baselines and Analysis**Mandar Joshi, Omer Levy, Luke Zettlemoyer, et al.*2019 · 488 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2019-bert-coreference-resolution-baselines-analysis/)
705. [**A Convolutional Encoder Model for Neural Machine Translation**Jonas Gehring, Michael Auli, David Grangier, et al.*2017 · 487 citations*](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-encoder-model-neural-machine/)
706. [**BBQ: A hand-built bias benchmark for question answering**Alicia Parrish, Angelica Chen, Nikita Nangia, et al.*2022 · 487 citations*](https://md.research.elamur.ai/free/en/papers/parrish-2022-bbq-hand-built-bias-benchmark/)
707. [**Discovering Relations among Named Entities from Large Corpora**Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman*2004 · 486 citations*](https://md.research.elamur.ai/free/en/papers/hasegawa-2004-discovering-relations-among-named-entities/)
708. [**Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses**Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al.*2017 · 486 citations*](https://md.research.elamur.ai/free/en/papers/lowe-2017-towards-automatic-turing-test-learning/)
709. [**EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks**Muhammad Abdul-Mageed, Lyle Ungar*2017 · 486 citations*](https://md.research.elamur.ai/free/en/papers/mageed-2017-emonet-fine-grained-emotion-detection/)
710. [**What do Neural Machine Translation Models Learn about Morphology?**Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.*2017 · 485 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2017-what-do-neural-machine-translation/)
711. [**Named Entity Recognition through Classifier Combination**Radu Florian, Abe Ittycheriah, Hongyan Jing, et al.*2003 · 484 citations*](https://md.research.elamur.ai/free/en/papers/florian-2003-named-entity-recognition-through-classifier/)
712. [**ParlAI: A Dialog Research Software Platform**Alexander Miller, Will Feng, Dhruv Batra, et al.*2017 · 483 citations*](https://md.research.elamur.ai/free/en/papers/miller-2017-parlai-dialog-research-software-platform/)
713. [**Part-of-Speech Tagging Guidelines for the Penn Treebank Project (3rd Revision)**Beatrice Santorini*1990 · 483 citations*](https://md.research.elamur.ai/free/en/papers/santorini-1990-part-of-speech-tagging-guidelines-penn-treebank/)
714. [**Semantic Parsing for Single-Relation Question Answering**Wen-tau Yih, Xiaodong He, Christopher Meek*2014 · 483 citations*](https://md.research.elamur.ai/free/en/papers/yih-2014-semantic-parsing-single-relation-question/)
715. [**Learning Multilingual Subjective Language via Cross-Lingual Projections**Rada Mihalcea, Carmen Banea, Janyce Wiebe*2007 · 482 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2007-learning-multilingual-subjective-language-cross/)
716. [**Regularizing Neural Networks by Penalizing Confident Output Distributions**Gabriel Pereyra, George Tucker, Jan Chorowski, et al.*2017 · 482 citations*](https://md.research.elamur.ai/free/en/papers/pereyra-2017-regularizing-neural-networks-penalizing-confident/)
717. [**REPLUG: Retrieval-Augmented Black-Box Language Models**Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.*2023 · 482 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/)
718. [**Solving olympiad geometry without human demonstrations**Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, et al.*2024 · 482 citations*](https://md.research.elamur.ai/free/en/papers/trinh-2024-solving-olympiad-geometry-without-human/)
719. [**Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations**Peiyi Wang, Lei Li, Zhihong Shao, et al.*2024 · 482 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-math-shepherd-verify-reinforce-llms/)
720. [**Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings**Nanyun Peng, Mark Dredze*2015 · 481 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/)
721. [**Universal Dependencies**Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.*2021 · 480 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies/)
722. [**Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection**Shauli Ravfogel, Yanai Elazar, Hila Gonen, et al.*2020 · 480 citations*](https://md.research.elamur.ai/free/en/papers/ravfogel-2020-null-it-out-guarding-protected/)
723. [**ToTTo: A Controlled Table-To-Text Generation Dataset**Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al.*2020 · 479 citations*](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/)
724. [**Information Fusion in the Context of Multi-Document Summarization**Regina Barzilay, Kathleen R. McKeown, Michael Elhadad*1999 · 477 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-1999-information-fusion-context-multi-document/)
725. [**Enabling Large Language Models to Generate Text with Citations**Tianyu Gao, Howard Yen, Jiatong Yu, et al.*2023 · 477 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/)
726. [**Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion**Armand Joulin, Piotr Bojanowski, Tomas Mikolov, et al.*2018 · 477 citations*](https://md.research.elamur.ai/free/en/papers/joulin-2018-loss-translation-learning-bilingual-word/)
727. [**ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction**Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.*2022 · 477 citations*](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/)
728. [**A Maximum Entropy Approach to Identifying Sentence Boundaries**Jeffrey C. Reynar, Adwait Ratnaparkhi*1997 · 474 citations*](https://md.research.elamur.ai/free/en/papers/reynar-1997-maximum-entropy-approach-identifying-sentence/)
729. [**Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time**Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.*2022 · 474 citations*](https://md.research.elamur.ai/free/en/papers/wortsman-2022-model-soups-averaging-weights-multiple/)
730. [**Syntax Augmented Machine Translation via Chart Parsing**Andreas Zollmann, Ashish Venugopal*2006 · 474 citations*](https://md.research.elamur.ai/free/en/papers/zollmann-2006-syntax-augmented-machine-translation-chart/)
731. [**A Simple and Effective Hierarchical Phrase Reordering Model**Michel Galley, Christopher D. Manning*2008 · 472 citations*](https://md.research.elamur.ai/free/en/papers/galley-2008-simple-effective-hierarchical-phrase-reordering/)
732. [**Demographic Dialectal Variation in Social Media: A Case Study of African-American English**Su Lin Blodgett, Lisa Green, Brendan O'Connor*2016 · 470 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2016-demographic-dialectal-variation-social-media/)
733. [**What to do about bad language on the internet**Jacob Eisenstein*2013 · 469 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2013-what-do-about-bad-language/)
734. [**Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models**Minh-Thang Luong, Christopher D. Manning*2016 · 469 citations*](https://md.research.elamur.ai/free/en/papers/luong-2016-achieving-open-vocabulary-neural-machine/)
735. [**Large Language Models: A Survey**Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.*2024 · 467 citations*](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/)
736. [**When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?**Ye Qi, Devendra Sachan, Matthieu Felix, et al.*2018 · 466 citations*](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/)
737. [**Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT**Shijie Wu, Mark Dredze*2019 · 466 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-beto-bentz-becas-surprising-cross/)
738. [**Evaluating Large Language Models in Theory of Mind Tasks**Michal Kosinski*2023 · 465 citations*](https://md.research.elamur.ai/free/en/papers/kosinski-2023-evaluating-large-language-models-theory/)
739. [**Word-Sense Disambiguation Using Statistical Methods**Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, et al.*1991 · 464 citations*](https://md.research.elamur.ai/free/en/papers/brown-1991-word-sense-disambiguation-statistical-methods/)
740. [**Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus**Yuk Wah Wong, Raymond Mooney*2007 · 464 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-learning-synchronous-grammars-semantic-parsing/)
741. [**Masked Autoencoders Are Scalable Vision Learners**Kaiming He, Xinlei Chen, Saining Xie, et al.*2021 · 463 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-masked-autoencoders-scalable-vision-learners/)
742. [**Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 463 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/)
743. [**Findings of the 2015 Workshop on Statistical Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 461 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/)
744. [**Deep Reinforcement Learning for Mention-Ranking Coreference Models**Kevin Clark, Christopher D. Manning*2016 · 461 citations*](https://md.research.elamur.ai/free/en/papers/clark-2016-deep-reinforcement-learning-mention-ranking/)
745. [**Defending Against Neural Fake News**Rowan Zellers, Ari Holtzman, Hannah Rashkin, et al.*2019 · 461 citations*](https://md.research.elamur.ai/free/en/papers/zellers-2019-defending-against-neural-fake-news/)
746. [**Denoising Diffusion Implicit Models**Jiaming Song, Chenlin Meng, Stefano Ermon*2020 · 460 citations*](https://md.research.elamur.ai/free/en/papers/song-2020-denoising-diffusion-implicit-models/)
747. [**Distributional Semantics in Technicolor**Elia Bruni, Gemma Boleda, Marco Baroni, et al.*2012 · 459 citations*](https://md.research.elamur.ai/free/en/papers/bruni-2012-distributional-semantics-technicolor/)
748. [**SimVLM: Simple Visual Language Model Pretraining with Weak Supervision**Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.*2021 · 459 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-simvlm-simple-visual-language-model/)
749. [**Are All Languages Created Equal in Multilingual BERT?**Shijie Wu, Mark Dredze*2020 · 458 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-are-all-languages-created-equal/)
750. [**A Persona-Based Neural Conversation Model**Jiwei Li, Michel Galley, Chris Brockett, et al.*2016 · 456 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-persona-based-neural-conversation-model/)
751. [**Discourse Segmentation of Multi-Party Conversation**Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, et al.*2003 · 455 citations*](https://md.research.elamur.ai/free/en/papers/galley-2003-discourse-segmentation-multi-party-conversation/)
752. [**Learning Semantic Correspondences with Less Supervision**Percy Liang, Michael Jordan, Dan Klein*2009 · 455 citations*](https://md.research.elamur.ai/free/en/papers/liang-2009-learning-semantic-correspondences-less-supervision/)
753. [**Bilingual Word Representations with Monolingual Quality in Mind**Thang Luong, Hieu Pham, Christopher D. Manning*2015 · 453 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-bilingual-word-representations-monolingual-quality/)
754. [**Deep Keyphrase Generation**Rui Meng, Sanqiang Zhao, Shuguang Han, et al.*2017 · 453 citations*](https://md.research.elamur.ai/free/en/papers/meng-2017-deep-keyphrase-generation/)
755. [**LinkBERT: Pretraining Language Models with Document Links**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2022 · 452 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/)
756. [**Meta-Learning for Low-Resource Neural Machine Translation**Jiatao Gu, Yong Wang, Yun Chen, et al.*2018 · 451 citations*](https://md.research.elamur.ai/free/en/papers/gu-2018-meta-learning-low-resource-neural/)
757. [**Inherent Disagreements in Human Textual Inferences**Ellie Pavlick, Tom Kwiatkowski*2019 · 451 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/)
758. [**ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training**Weizhen Qi, Yu Yan, Yeyun Gong, et al.*2020 · 451 citations*](https://md.research.elamur.ai/free/en/papers/qi-2020-prophetnet-predicting-future-n-gram/)
759. [**Large language models are few-shot clinical information extractors**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 448 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)
760. [**Show your work: Scratchpads for intermediate computation with language models***2021 · 448 citations*](https://md.research.elamur.ai/free/en/papers/al-2021-show-your-work-scratchpads-intermediate/)
761. [**A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts**Michael Thelen, Ellen Riloff*2002 · 448 citations*](https://md.research.elamur.ai/free/en/papers/thelen-2002-bootstrapping-method-learning-semantic-lexicons/)
762. [**Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks**Hua He, Kevin Gimpel, Jimmy Lin*2015 · 447 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/)
763. [**Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets**Julia Kreutzer, Isaac Caswell, Lisa Wang, et al.*2021 · 447 citations*](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/)
764. [**Reading Level Assessment Using Support Vector Machines and Statistical Language Models**Sarah Schwarm, Mari Ostendorf*2005 · 447 citations*](https://md.research.elamur.ai/free/en/papers/schwarm-2005-reading-level-assessment-support-vector/)
765. [**A Multi-Pass Sieve for Coreference Resolution**Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, et al.*2010 · 446 citations*](https://md.research.elamur.ai/free/en/papers/raghunathan-2010-multi-pass-sieve-coreference-resolution/)
766. [**Contrastive Estimation: Training Log-Linear Models on Unlabeled Data**Noah A. Smith, Jason Eisner*2005 · 445 citations*](https://md.research.elamur.ai/free/en/papers/smith-2005-contrastive-estimation-training-log-linear/)
767. [**FinGPT: Open-Source Financial Large Language Models**Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang*2023 · 445 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-fingpt-open-source-financial-large/)
768. [**Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference**Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.*2019 · 444 citations*](https://md.research.elamur.ai/free/en/papers/falke-2019-ranking-generated-summaries-correctness-interesting/)
769. [**GeDi: Generative Discriminator Guided Sequence Generation**Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/)
770. [**Masked Language Model Scoring**Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.*2020 · 444 citations*](https://md.research.elamur.ai/free/en/papers/salazar-2020-masked-language-model-scoring/)
771. [**FreeLB: Enhanced Adversarial Training for Natural Language Understanding**Chen Zhu, Yu Cheng, Zhe Gan, et al.*2019 · 443 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2019-freelb-enhanced-adversarial-training-natural/)
772. [**Pretrained Transformers Improve Out-of-Distribution Robustness**Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.*2020 · 442 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/)
773. [**SemEval-2007 Task-17: English Lexical Sample, SRL and All Words**Sameer Pradhan, Edward Loper, Dmitriy Dligach, et al.*2007 · 442 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2007-semeval-2007-task-17-english/)
774. [**Findings of the 2013 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 441 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/)
775. [**Automatic construction of a hypernym-labeled noun hierarchy from text**Sharon A. Caraballo*1999 · 441 citations*](https://md.research.elamur.ai/free/en/papers/caraballo-1999-automatic-construction-hypernym-labeled-noun/)
776. [**DECISION LISTS FOR LEXICAL AMBIGUITY RESOLUTION: Application to Accent Restoration in Spanish and French**David Yarowsky*1994 · 441 citations*](https://md.research.elamur.ai/free/en/papers/yarowsky-1994-decision-lists-lexical-ambiguity-resolution/)
777. [**One Sense per Collocation**David Yarowsky*1993 · 440 citations*](https://md.research.elamur.ai/free/en/papers/yarowsky-1993-one-sense-per-collocation/)
778. [**Temporal Analysis of Language through Neural Language Models**Yoon Kim, Yi-I Chiu, Kentaro Hanaki, et al.*2014 · 439 citations*](https://md.research.elamur.ai/free/en/papers/kim-2014-temporal-analysis-language-through-neural/)
779. [**Paraphrase-Driven Learning for Open Question Answering**Anthony Fader, Luke Zettlemoyer, Oren Etzioni*2013 · 438 citations*](https://md.research.elamur.ai/free/en/papers/fader-2013-paraphrase-driven-learning-open-question/)
780. [**Measuring Coding Challenge Competence With APPS**Dan Hendrycks, Steven Basart, Saurav Kadavath, et al.*2021 · 438 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-measuring-coding-challenge-competence-apps/)
781. [**Entity-Relation Extraction as Multi-Turn Question Answering**Xiaoya Li, Fan Yin, Zijun Sun, et al.*2019 · 437 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/)
782. [**The NomBank Project: An Interim Report**Adam Meyers, Ruth Reeves, Catherine Macleod, et al.*2004 · 437 citations*](https://md.research.elamur.ai/free/en/papers/meyers-2004-nombank-project-interim-report/)
783. [**Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation**Matt Post, David Vilar*2018 · 437 citations*](https://md.research.elamur.ai/free/en/papers/post-2018-fast-lexically-constrained-decoding-dynamic/)
784. [**GPT-NER: Named Entity Recognition via Large Language Models**Shuhe Wang, Xiaofei Sun, Xiaoya Li, et al.*2025 · 436 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-gpt-ner-named-entity-recognition/)
785. [**Arabic Dialect Identification**Omar F. Zaidan, Chris Callison-Burch*2014 · 436 citations*](https://md.research.elamur.ai/free/en/papers/zaidan-2014-arabic-dialect-identification/)
786. [**SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications**Isabelle Augenstein, Mrinal Das, Sebastian Riedel, et al.*2017 · 435 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2017-semeval-2017-task-10-scienceie/)
787. [**CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes**Sameer Pradhan, Lance Ramshaw, Mitchell Marcus, et al.*2011 · 434 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2011-conll-2011-shared-task-modeling/)
788. [**Improving Text Embeddings with Large Language Models**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2024 · 433 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-improving-text-embeddings-large-language/)
789. [**Document-Level Event Argument Extraction by Conditional Generation**Sha Li, Heng Ji, Jiawei Han*2021 · 432 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-document-level-event-argument-extraction/)
790. [**oLMpics — On what Language Model Pre-training Captures**Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.*2019 · 432 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2019-olmpics-language-model-pre-training/)
791. [**Multi-Source Neural Translation**Barret Zoph, Kevin Knight*2016 · 432 citations*](https://md.research.elamur.ai/free/en/papers/zoph-2016-multi-source-neural-translation/)
792. [**Deep Communicating Agents for Abstractive Summarization**Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.*2018 · 431 citations*](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/)
793. [**Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models**Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.*2024 · 431 citations*](https://md.research.elamur.ai/free/en/papers/dahl-2024-large-legal-fictions-profiling-legal/)
794. [**Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora**William L. Hamilton, Kevin Clark, Jure Leskovec, et al.*2016 · 431 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-inducing-domain-specific-sentiment-lexicons/)
795. [**Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection**Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.*2023 · 430 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-grounding-dino-marrying-dino-grounded/)
796. [**A Unigram Orientation Model for Statistical Machine Translation**Christoph Tillmann*2004 · 430 citations*](https://md.research.elamur.ai/free/en/papers/tillmann-2004-unigram-orientation-model-statistical-machine/)
797. [**Analyzing the Structure of Attention in a Transformer Language Model**Jesse Vig, Yonatan Belinkov*2019 · 430 citations*](https://md.research.elamur.ai/free/en/papers/vig-2019-analyzing-structure-attention-transformer-language/)
798. [**MasakhaNER: Named Entity Recognition for African Languages**David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.*2021 · 429 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/)
799. [**A general framework for information extraction using dynamic span graphs**Yi Luan, Dave Wadden, Luheng He, et al.*2019 · 427 citations*](https://md.research.elamur.ai/free/en/papers/luan-2019-general-framework-information-extraction-dynamic/)
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