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# Works of United States

3659 · page 10 of 37 · the most cited first · [← United States](https://md.research.elamur.ai/free/en/countries/united-states/)

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901. [**The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes**Douwe Kiela, Hamed Firooz, Aravind Mohan, et al.*2020 · 404 citations*](https://md.research.elamur.ai/free/en/papers/kiela-2020-hateful-memes-challenge-detecting-hate/)
902. [**True Few-Shot Learning with Language Models**Ethan Perez, Douwe Kiela, Kyunghyun Cho*2021 · 404 citations*](https://md.research.elamur.ai/free/en/papers/perez-2021-true-few-shot-learning-language/)
903. [**Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis**Yejin Choi, Claire Cardie*2008 · 403 citations*](https://md.research.elamur.ai/free/en/papers/choi-2008-learning-compositional-semantics-as-structural/)
904. [**Nested Named Entity Recognition**Jenny Rose Finkel, Christopher D. Manning*2009 · 403 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2009-nested-named-entity-recognition/)
905. [**Characterizing the Errors of Data-Driven Dependency Parsing Models**Ryan McDonald, Joakim Nivre*2007 · 403 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2007-characterizing-errors-data-driven-dependency/)
906. [**Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs**Miguel Ballesteros, Chris Dyer, Noah A. Smith*2015 · 402 citations*](https://md.research.elamur.ai/free/en/papers/ballesteros-2015-improved-transition-based-parsing-modeling/)
907. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
908. [**DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts**Alisa Liu, Maarten Sap, Ximing Lu, et al.*2021 · 400 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-dexperts-decoding-time-controlled-text/)
909. [**MEAD - A Platform for Multidocument Multilingual Text Summarization**Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, et al.*2004 · 400 citations*](https://md.research.elamur.ai/free/en/papers/radev-2004-mead-platform-multidocument-multilingual-text/)
910. [**QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization**Ming Zhong, Da Yin, Tao Yu, et al.*2021 · 400 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/)
911. [**Long Range Arena: A Benchmark for Efficient Transformers**Yi Tay, Mostafa Dehghani, Samira Abnar, et al.*2020 · 399 citations*](https://md.research.elamur.ai/free/en/papers/tay-2020-long-range-arena-benchmark-efficient/)
912. [**Construction of the Literature Graph in Semantic Scholar**Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.*2018 · 398 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2018-construction-literature-graph-semantic-scholar/)
913. [**FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech**Alexis Conneau, Min Ma, Simran Khanuja, et al.*2022 · 398 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2022-fleurs-few-shot-learning-evaluation/)
914. [**LongT5: Efficient Text-To-Text Transformer for Long Sequences**Mandy Guo, Joshua Ainslie, David Uthus, et al.*2022 · 398 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-longt5-efficient-text-text-transformer/)
915. [**UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems**Lushan Han, Abhay L. Kashyap, Tim Finin, et al.*2013 · 398 citations*](https://md.research.elamur.ai/free/en/papers/han-2013-umbc-ebiquity-core-semantic-textual/)
916. [**Do Prompt-Based Models Really Understand the Meaning of Their Prompts?**Albert Webson, Ellie Pavlick*2022 · 398 citations*](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/)
917. [**TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance**Fengbin Zhu, Wenqiang Lei, Youcheng Huang, et al.*2021 · 397 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-tat-qa-question-answering-benchmark/)
918. [**Large Language Models Cannot Self-Correct Reasoning Yet**Jie Huang, Xinyun Chen, Swaroop Mishra, et al.*2023 · 396 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-cannot-self/)
919. [**Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques**Stefan Riezler, Tracy H. King, Ronald M. Kaplan, et al.*2002 · 396 citations*](https://md.research.elamur.ai/free/en/papers/riezler-2002-parsing-wall-street-journal-lexical/)
920. [**A Unified Generative Framework for Aspect-based Sentiment Analysis**Hang Yan, Junqi Dai, Tuo Ji, et al.*2021 · 396 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/)
921. [**That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets**William Yang Wang, Diyi Yang*2015 · 395 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-that-s-so-annoying-lexical/)
922. [**Entity Disambiguation for Knowledge Base Population**Mark Dredze, Paul McNamee, Delip Rao, et al.*2010 · 394 citations*](https://md.research.elamur.ai/free/en/papers/dredze-2010-entity-disambiguation-knowledge-base-population/)
923. [**URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors**Patrick Littell, David R. Mortensen, Ke Lin, et al.*2017 · 394 citations*](https://md.research.elamur.ai/free/en/papers/littell-2017-uriel-lang2vec-representing-languages-as/)
924. [**Gender Bias in Neural Natural Language Processing**Kaiji Lu, Piotr Mardziel, Fangjing Wu, et al.*2018 · 394 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-gender-bias-neural-natural-language/)
925. [**Linguistic Models for Analyzing and Detecting Biased Language**Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky*2013 · 394 citations*](https://md.research.elamur.ai/free/en/papers/recasens-2013-linguistic-models-analyzing-detecting-biased/)
926. [**Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification**Xilun Chen, Yu Sun, Ben Athiwaratkun, et al.*2018 · 393 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-adversarial-deep-averaging-networks-cross/)
927. [**The Parallel Grammar Project**Miriam Butt, Helge Dyvik, Tracy Holloway King, et al.*2002 · 392 citations*](https://md.research.elamur.ai/free/en/papers/butt-2002-parallel-grammar-project/)
928. [**Whose Opinions Do Language Models Reflect?**Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.*2023 · 392 citations*](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/)
929. [**A Unified Generative Framework for Various NER Subtasks**Hang Yan, Tao Gui, Junqi Dai, et al.*2021 · 392 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/)
930. [**BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models**Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg*2021 · 391 citations*](https://md.research.elamur.ai/free/en/papers/ben-zaken-2021-bitfit-simple-parameter-efficient-fine/)
931. [**The Third International Chinese Language Processing Bakeoff: Word Segmentation and Named Entity Recognition**Gina-Anne Levow*2006 · 391 citations*](https://md.research.elamur.ai/free/en/papers/levow-2006-third-international-chinese-language-processing/)
932. [**Towards Emotional Support Dialog Systems**Siyang Liu, Chujie Zheng, Orianna Demasi, et al.*2021 · 391 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/)
933. [**DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning**Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, et al.*2018 · 391 citations*](https://md.research.elamur.ai/free/en/papers/popat-2018-declare-debunking-fake-news-false/)
934. [**Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog**Sebastian Schuster, Sonal Gupta, Rushin Shah, et al.*2019 · 391 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-transfer-learning-multilingual/)
935. [**Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health**Tim Althoff, Kevin Clark, Jure Leskovec*2016 · 390 citations*](https://md.research.elamur.ai/free/en/papers/althoff-2016-large-scale-analysis-counseling-conversations/)
936. [**CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning**Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.*2016 · 390 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2016-clevr-diagnostic-dataset-compositional-language/)
937. [**Inside-Outside Reestimation From Partially Bracketed Corpora**Fernando Pereira, Yves Schabes*1992 · 390 citations*](https://md.research.elamur.ai/free/en/papers/pereira-1992-inside-outside-reestimation-partially-bracketed/)
938. [**Combating Adversarial Misspellings with Robust Word Recognition**Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton*2019 · 389 citations*](https://md.research.elamur.ai/free/en/papers/pruthi-2019-combating-adversarial-misspellings-robust-word/)
939. [**Immediate-Head Parsing for Language Models**Eugene Charniak*2001 · 387 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2001-immediate-head-parsing-language-models/)
940. [**Beam Search Strategies for Neural Machine Translation**Markus Freitag, Yaser Al-Onaizan*2017 · 386 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2017-beam-search-strategies-neural-machine/)
941. [**Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation**Lora M. Aroyo, Chris Welty*2015 · 385 citations*](https://md.research.elamur.ai/free/en/papers/aroyo-2015-truth-lie-crowd-truth-seven/)
942. [**Gender and Representation Bias in GPT-3 Generated Stories**Li Lucy, David Bamman*2021 · 385 citations*](https://md.research.elamur.ai/free/en/papers/lucy-2021-gender-representation-bias-gpt-3/)
943. [**Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms**Dinghan Shen, Guoyin Wang, Wenlin Wang, et al.*2018 · 385 citations*](https://md.research.elamur.ai/free/en/papers/shen-2018-baseline-needs-more-love-simple/)
944. [**Discourse-Aware Neural Extractive Text Summarization**Jiacheng Xu, Zhe Gan, Yu Cheng, et al.*2019 · 385 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/)
945. [**♫ MuSiQue: Multihop Questions via Single-hop Question Composition**Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.*2022 · 384 citations*](https://md.research.elamur.ai/free/en/papers/trivedi-2022-musique-multihop-questions-single-hop/)
946. [**Dialogue Natural Language Inference**Sean Welleck, Jason Weston, Arthur Szlam, et al.*2019 · 384 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2019-dialogue-natural-language-inference/)
947. [**Aligning AI With Shared Human Values**Dan Hendrycks, Collin Burns, Steven Basart, et al.*2020 · 383 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-aligning-ai-shared-human-values/)
948. [**Query Rewriting in Retrieval-Augmented Large Language Models**Xinbei Ma, Yeyun Gong, Pengcheng He, et al.*2023 · 383 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/)
949. [**Many Languages, One Parser**Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al.*2016 · 382 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2016-many-languages-one-parser/)
950. [**Text Understanding with the Attention Sum Reader Network**Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.*2016 · 382 citations*](https://md.research.elamur.ai/free/en/papers/kadlec-2016-text-understanding-attention-sum-reader/)
951. [**Open Sesame: Getting inside BERT's Linguistic Knowledge**Yongjie Lin, Yi Chern Tan, Robert Frank*2019 · 382 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-open-sesame-getting-inside-bert/)
952. [**English Conversational Telephone Speech Recognition by Humans and Machines**George Saon, Gakuto Kurata, Tom Sercu, et al.*2017 · 382 citations*](https://md.research.elamur.ai/free/en/papers/saon-2017-english-conversational-telephone-speech-recognition/)
953. [**Learning from Bullying Traces in Social Media**Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, et al.*2012 · 382 citations*](https://md.research.elamur.ai/free/en/papers/xu-2012-learning-bullying-traces-social-media/)
954. [**LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models**Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li*2023 · 381 citations*](https://md.research.elamur.ai/free/en/papers/guha-2023-legalbench-collaboratively-built-benchmark-measuring/)
955. [**PyTorch Distributed: Experiences on Accelerating Data Parallel Training**Shen Li, Yanli Zhao, Rohan Varma, et al.*2020 · 381 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-pytorch-distributed-experiences-accelerating-data/)
956. [**Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy**Zhihong Shao, Yeyun Gong, Yelong Shen, et al.*2023 · 381 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/)
957. [**ETC: Encoding Long and Structured Inputs in Transformers**Joshua Ainslie, Santiago Ontañón, Chris Alberti, et al.*2020 · 380 citations*](https://md.research.elamur.ai/free/en/papers/ainslie-2020-etc-encoding-long-structured-inputs/)
958. [**A fully Bayesian approach to unsupervised part-of-speech tagging**Sharon Goldwater, Tom Griffiths*2007 · 380 citations*](https://md.research.elamur.ai/free/en/papers/goldwater-2007-fully-bayesian-approach-unsupervised-part/)
959. [**Emerging Cross-lingual Structure in Pretrained Language Models**Alexis Conneau, Shijie Wu, Haoran Li, et al.*2020 · 379 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2020-emerging-cross-lingual-structure-pretrained/)
960. [**Tulu 3: Pushing Frontiers in Open Language Model Post-Training**Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.*2024 · 379 citations*](https://md.research.elamur.ai/free/en/papers/lambert-2024-tulu-3-pushing-frontiers-open/)
961. [**Fine-Grained Analysis of Propaganda in News Articles**Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, et al.*2019 · 379 citations*](https://md.research.elamur.ai/free/en/papers/martino-2019-fine-grained-analysis-propaganda-news/)
962. [**Tool Learning with Foundation Models**Yujia Qin, Shengding Hu, Yankai Lin, et al.*2023 · 378 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/)
963. [**HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data**Wenhu Chen, Hanwen Zha, Zhiyu Chen, et al.*2020 · 377 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-hybridqa-dataset-multi-hop-question/)
964. [**From Paraphrase Database to Compositional Paraphrase Model and Back**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2015 · 377 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2015-paraphrase-database-compositional-paraphrase-model/)
965. [**Representing Discourse Coherence: A Corpus-Based Study**Florian Wolf, Edward Gibson*2005 · 377 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2005-representing-discourse-coherence-corpus-based/)
966. [**Extracting Relations with Integrated Information Using Kernel Methods**Shubin Zhao, Ralph Grishman*2005 · 377 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2005-extracting-relations-integrated-information-kernel/)
967. [**Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks**Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.*2018 · 377 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-paragraph-level-neural-question-generation/)
968. [**Transformers as Soft Reasoners over Language**Peter Clark, Oyvind Tafjord, Kyle Richardson*2020 · 376 citations*](https://md.research.elamur.ai/free/en/papers/clark-2020-transformers-soft-reasoners-over-language/)
969. [**A Scalable Global Model for Summarization**Dan Gillick, Benoit Favre*2009 · 376 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2009-scalable-global-model-summarization/)
970. [**Editing Models with Task Arithmetic**Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.*2022 · 376 citations*](https://md.research.elamur.ai/free/en/papers/ilharco-2022-editing-models-task-arithmetic/)
971. [**MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension**Adam Fisch, Alon Talmor, Robin Jia, et al.*2019 · 375 citations*](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/)
972. [**Crowdsourcing Translation: Professional Quality from Non-Professionals**Omar F. Zaidan, Chris Callison-Burch*2011 · 375 citations*](https://md.research.elamur.ai/free/en/papers/zaidan-2011-crowdsourcing-translation-professional-quality-non/)
973. [**A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers**Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.*2021 · 374 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/)
974. [**cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models**Chris Dyer, Adam Lopez, Juri Ganitkevitch, et al.*2010 · 374 citations*](https://md.research.elamur.ai/free/en/papers/dyer-2010-cdec-decoder-alignment-learning-framework/)
975. [**A Watermark for Large Language Models**John Kirchenbauer, Jonas Geiping, Yuxin Wen, et al.*2023 · 374 citations*](https://md.research.elamur.ai/free/en/papers/kirchenbauer-2023-watermark-large-language-models/)
976. [**Contextual Dependencies in Unsupervised Word Segmentation**Sharon Goldwater, Thomas L. Griffiths, Mark Johnson*2006 · 372 citations*](https://md.research.elamur.ai/free/en/papers/goldwater-2006-contextual-dependencies-unsupervised-word-segmentation/)
977. [**Boosting Named Entity Recognition with Neural Character Embeddings**Cícero dos Santos, Victor Guimarães*2015 · 372 citations*](https://md.research.elamur.ai/free/en/papers/santos-2015-boosting-named-entity-recognition-neural/)
978. [**What makes a good conversation? How controllable attributes affect human judgments**Abigail See, Stephen Roller, Douwe Kiela, et al.*2019 · 372 citations*](https://md.research.elamur.ai/free/en/papers/see-2019-what-makes-good-conversation-how/)
979. [**Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology**Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach, et al.*2019 · 372 citations*](https://md.research.elamur.ai/free/en/papers/zmigrod-2019-counterfactual-data-augmentation-mitigating-gender/)
980. [**Learning for Semantic Parsing with Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2006 · 371 citations*](https://md.research.elamur.ai/free/en/papers/wong-2006-learning-semantic-parsing-statistical-machine/)
981. [**Improving Lexical Embeddings with Semantic Knowledge**Mo Yu, Mark Dredze*2014 · 371 citations*](https://md.research.elamur.ai/free/en/papers/yu-2014-improving-lexical-embeddings-semantic-knowledge/)
982. [**WebArena: A Realistic Web Environment for Building Autonomous Agents**Shuyan Zhou, Frank F. Xu, Hao Zhu, et al.*2023 · 371 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-webarena-realistic-web-environment-building/)
983. [**Massively Multilingual Neural Machine Translation**Roee Aharoni, Melvin Johnson, Orhan Firat*2019 · 370 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2019-massively-multilingual-neural-machine-translation/)
984. [**Question Generation for Question Answering**Nan Duan, Duyu Tang, Peng Chen, et al.*2017 · 370 citations*](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/)
985. [**Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning**Liangming Pan, Alon Albalak, Xinyi Wang, et al.*2023 · 370 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-logic-lm-empowering-large-language/)
986. [**Green AI**Roy Schwartz, Jesse Dodge, Noah A. Smith, et al.*2019 · 370 citations*](https://md.research.elamur.ai/free/en/papers/schwartz-2019-green-ai/)
987. [**Metaphor Detection with Cross-Lingual Model Transfer**Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, et al.*2014 · 370 citations*](https://md.research.elamur.ai/free/en/papers/tsvetkov-2014-metaphor-detection-cross-lingual-model/)
988. [**Intricacies of Collins' Parsing Model**Daniel M. Bikel*2004 · 369 citations*](https://md.research.elamur.ai/free/en/papers/bikel-2004-intricacies-collins-parsing-model/)
989. [**WASSA-2017 Shared Task on Emotion Intensity**Saif Mohammad, Felipe Bravo-Marquez*2017 · 369 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-wassa-2017-shared-task-emotion/)
990. [**Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good**Xuewei Wang, Weiyan Shi, Richard Kim, et al.*2019 · 369 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-persuasion-good-personalized-persuasive-dialogue/)
991. [**VILA: On Pre-training for Visual Language Models**Ji Lin, Hongxu Yin, Wei Ping, et al.*2023 · 368 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-vila-pre-training-visual-language/)
992. [**A Latent Variable Model Approach to PMI-based Word Embeddings**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2016 · 367 citations*](https://md.research.elamur.ai/free/en/papers/arora-2016-latent-variable-model-approach-pmi/)
993. [**The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics**Steven Bird, Robert Dale, Bonnie Dorr, et al.*2008 · 366 citations*](https://md.research.elamur.ai/free/en/papers/bird-2008-acl-anthology-reference-corpus-reference/)
994. [**WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct**Haipeng Luo, Qingfeng Sun, Can Xu, et al.*2023 · 366 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-wizardmath-empowering-mathematical-reasoning-large/)
995. [**Latent Hatred: A Benchmark for Understanding Implicit Hate Speech**Mai ElSherief, Caleb Ziems, David Muchlinski, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/elsherief-2021-latent-hatred-benchmark-understanding-implicit/)
996. [**The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/)
997. [**Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection**Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al.*2022 · 365 citations*](https://md.research.elamur.ai/free/en/papers/sap-2022-annotators-attitudes-how-annotator-beliefs/)
998. [**Identifying and Reducing Gender Bias in Word-Level Language Models**Shikha Bordia, Samuel R. Bowman*2019 · 364 citations*](https://md.research.elamur.ai/free/en/papers/bordia-2019-identifying-reducing-gender-bias-word/)
999. [**The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English**Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.*2019 · 363 citations*](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/)
1000. [**Adaptive Attention Span in Transformers**Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, et al.*2019 · 363 citations*](https://md.research.elamur.ai/free/en/papers/sukhbaatar-2019-adaptive-attention-span-transformers/)

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