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# Works of United States

3659 · page 15 of 37 · the most cited first · [← United States](https://md.research.elamur.ai/free/en/countries/united-states/)

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1401. [**Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models**Harsh Jhamtani, Varun Gangal, Eduard Hovy, et al.*2017 · 252 citations*](https://md.research.elamur.ai/free/en/papers/jhamtani-2017-shakespearizing-modern-language-copy-enriched/)
1402. [**Forest-Based Translation**Haitao Mi, Liang Huang, Qun Liu*2008 · 252 citations*](https://md.research.elamur.ai/free/en/papers/mi-2008-forest-based-translation/)
1403. **[Pronunciation Modeling for Improved Spelling Correction](https://md.research.elamur.ai/free/en/papers/toutanova-2002-pronunciation-modeling-improved-spelling-correction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kristina Toutanova, Robert Moore*2002 · 252 citations*
1404. **[“I am borrowing ya mixing ?” An Analysis of English-Hindi Code Mixing in Facebook](https://md.research.elamur.ai/free/en/papers/bali-2014-i-am-borrowing-ya-mixing/) [Workshop on Computational Approaches to Code Switching](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-approaches-to-code-switching/)**Kalika Bali, Jatin Sharma, Monojit Choudhury, et al.*2014 · 251 citations*
1405. **[Morphological Analysis for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/lee-2004-morphological-analysis-statistical-machine-translation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Young-Suk Lee*2004 · 251 citations*
1406. [**Personality Traits in Large Language Models arXiv:2307.00184**Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.*2023 · 251 citations*](https://md.research.elamur.ai/free/en/papers/serapio-garcia-2023-personality-traits-large-language-models/)
1407. **[Conversations Gone Awry: Detecting Early Signs of Conversational Failure](https://md.research.elamur.ai/free/en/papers/zhang-2018-conversations-gone-awry-detecting-early/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Justine Zhang, Jonathan Chang, Cristian Danescu-Niculescu-Mizil, et al.*2018 · 251 citations*
1408. **[Tied Multitask Learning for Neural Speech Translation](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2018-tied-multitask-learning-neural-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Antonios Anastasopoulos, David Chiang*2018 · 250 citations*
1409. **[SIMPLE: A General Framework for the Development of Multilingual Lexicons](https://md.research.elamur.ai/free/en/papers/bel-2000-simple-general-framework-development-multilingual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nuria Bel, Federica Busa, Nicoletta Calzolari, et al.*2000 · 250 citations*
1410. **[Phrasal Cohesion and Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/fox-2002-phrasal-cohesion-statistical-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Heidi Fox*2002 · 250 citations*
1411. **[COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List](https://md.research.elamur.ai/free/en/papers/gao-2021-coil-revisit-exact-lexical-match/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Luyu Gao, Zhuyun Dai, Jamie Callan*2021 · 250 citations*
1412. **[Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks](https://md.research.elamur.ai/free/en/papers/mahabadi-2021-parameter-efficient-multi-task-fine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, et al.*2021 · 250 citations*
1413. **[Joint Learning Improves Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/toutanova-2005-joint-learning-improves-semantic-role/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kristina Toutanova, Aria Haghighi, Christopher Manning*2005 · 250 citations*
1414. **[Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media](https://md.research.elamur.ai/free/en/papers/volkova-2013-exploring-demographic-language-variations-improve/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Svitlana Volkova, Theresa Wilson, David Yarowsky*2013 · 250 citations*
1415. [**BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model arXiv:1902.04094**Alex Wang, Kyunghyun Cho*2019 · 250 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-bert-has-mouth-must-speak/)
1416. **[Prototype-Driven Learning for Sequence Models](https://md.research.elamur.ai/free/en/papers/haghighi-2006-prototype-driven-learning-sequence-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Aria Haghighi, Dan Klein*2006 · 249 citations*
1417. **[Fast and Accurate Shift-Reduce Constituent Parsing](https://md.research.elamur.ai/free/en/papers/zhu-2013-fast-accurate-shift-reduce-constituent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Muhua Zhu, Yue Zhang, Wenliang Chen, et al.*2013 · 249 citations*
1418. **[Linear Algebraic Structure of Word Senses, with Applications to Polysemy](https://md.research.elamur.ai/free/en/papers/arora-2018-linear-algebraic-structure-word-senses/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2018 · 248 citations*
1419. **[Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings](https://md.research.elamur.ai/free/en/papers/bommasani-2020-interpreting-pretrained-contextualized-representations-reductions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rishi Bommasani, Kelly Davis, Claire Cardie*2020 · 248 citations*
1420. **[Efficient Parsing for Bilexical Context-Free Grammars and Head Automaton Grammars](https://md.research.elamur.ai/free/en/papers/eisner-1999-efficient-parsing-bilexical-context-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jason Eisner, Giorgio Satta*1999 · 248 citations*
1421. **[A Statistical Model for Multilingual Entity Detection and Tracking](https://md.research.elamur.ai/free/en/papers/florian-2004-statistical-model-multilingual-entity-detection/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**R. Florian, H. Hassan, A. Ittycheriah, et al.*2004 · 248 citations*
1422. [**Contrastive Decoding: Open-ended Text Generation as Optimization arXiv:2210.15097**Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al.*2022 · 247 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/)
1423. **[Neural Cross-Lingual Named Entity Recognition with Minimal Resources](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiateng Xie, Zhilin Yang, Graham Neubig, et al.*2018 · 247 citations*
1424. **[MedDialog: Large-scale Medical Dialogue Datasets](https://md.research.elamur.ai/free/en/papers/zeng-2020-meddialog-large-scale-medical-dialogue/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Guangtao Zeng, Wenmian Yang, Zeqian Ju, et al.*2020 · 247 citations*
1425. **[Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset](https://md.research.elamur.ai/free/en/papers/byrne-2019-taskmaster-1-realistic-diverse-dialog/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, et al.*2019 · 246 citations*
1426. **[Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces](https://md.research.elamur.ai/free/en/papers/rios-2018-few-shot-zero-shot-multi/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anthony Rios, Ramakanth Kavuluru*2018 · 246 citations*
1427. [**A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models arXiv:2401.01313**S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.*2024 · 246 citations*](https://md.research.elamur.ai/free/en/papers/tonmoy-2024-comprehensive-survey-hallucination-mitigation-techniques/)
1428. **[Cross-lingual Models of Word Embeddings: An Empirical Comparison](https://md.research.elamur.ai/free/en/papers/upadhyay-2016-cross-lingual-models-word-embeddings/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shyam Upadhyay, Manaal Faruqui, Chris Dyer, et al.*2016 · 246 citations*
1429. **[Learning Context-Dependent Mappings from Sentences to Logical Form](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2009-learning-context-dependent-mappings-sentences/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luke Zettlemoyer, Michael Collins*2009 · 246 citations*
1430. **[Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction](https://md.research.elamur.ai/free/en/papers/zheng-2019-doc2edag-end-end-document-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shun Zheng, Wei Cao, Wei Xu, et al.*2019 · 246 citations*
1431. **[Can You Unpack That? Learning to Rewrite Questions-in-Context](https://md.research.elamur.ai/free/en/papers/elgohary-2019-can-you-unpack-that-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber*2019 · 245 citations*
1432. **[MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2024-medagents-large-language-models-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiangru Tang, Anni Zou, Zhuosheng Zhang, et al.*2024 · 245 citations*
1433. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model arXiv:2402.07827**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
1434. [**Structured Denoising Diffusion Models in Discrete State-Spaces arXiv:2107.03006**Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al.*2021 · 244 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-structured-denoising-diffusion-models-discrete/)
1435. **[Estimators for Stochastic “Unification-Based” Grammars](https://md.research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mark Johnson, Stuart Geman, Stephen Canon, et al.*1999 · 244 citations*
1436. [**MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers arXiv:2102.01454**Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.*2021 · 244 citations*](https://md.research.elamur.ai/free/en/papers/pillutla-2021-mauve-measuring-gap-between-neural/)
1437. **[Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/) [Workshop on Statistical Parsing of Morphologically-Rich Languages](https://md.research.elamur.ai/free/en/venues/workshop-on-statistical-parsing-of-morphologically-rich-languages/)**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*
1438. [**Multimodal Few-Shot Learning with Frozen Language Models arXiv:2106.13884**Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.*2021 · 243 citations*](https://md.research.elamur.ai/free/en/papers/tsimpoukelli-2021-multimodal-few-shot-learning-frozen/)
1439. **[Word-Sense Disambiguation for Machine Translation](https://md.research.elamur.ai/free/en/papers/vickrey-2005-word-sense-disambiguation-machine-translation/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**David Vickrey, Luke Biewald, Marc Teyssier, et al.*2005 · 243 citations*
1440. **[In-context Examples Selection for Machine Translation](https://md.research.elamur.ai/free/en/papers/agrawal-2023-context-examples-selection-machine-translation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sweta Agrawal, Chunting Zhou, Mike Lewis, et al.*2023 · 242 citations*
1441. **[Factuality Challenges in the Era of Large Language Models](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 242 citations*
1442. **[Training Neural Machine Translation to Apply Terminology Constraints](https://md.research.elamur.ai/free/en/papers/dinu-2019-training-neural-machine-translation-apply/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Georgiana Dinu, Prashant Mathur, Marcello Federico, et al.*2019 · 242 citations*
1443. **[Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling](https://md.research.elamur.ai/free/en/papers/han-2019-unsupervised-domain-adaptation-contextualized-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaochuang Han, Jacob Eisenstein*2019 · 242 citations*
1444. **[Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations](https://md.research.elamur.ai/free/en/papers/li-2023-synthetic-data-generation-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.*2023 · 242 citations*
1445. **[Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge](https://md.research.elamur.ai/free/en/papers/rahman-2012-resolving-complex-cases-definite-pronouns/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Altaf Rahman, Vincent Ng*2012 · 242 citations*
1446. **[Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models](https://md.research.elamur.ai/free/en/papers/shao-2017-generating-high-quality-informative-conversation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuanlong Shao, Stephan Gouws, Denny Britz, et al.*2017 · 242 citations*
1447. [**Large Language Monkeys: Scaling Inference Compute with Repeated Sampling arXiv:2407.21787**Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.*2024 · 241 citations*](https://md.research.elamur.ai/free/en/papers/brown-2024-large-language-monkeys-scaling-inference/)
1448. **[Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals](https://md.research.elamur.ai/free/en/papers/elazar-2021-amnesic-probing-behavioral-explanation-amnesic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yanai Elazar, Shauli Ravfogel, Alon Jacovi, et al.*2021 · 241 citations*
1449. **[Hierarchical Graph Network for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/fang-2020-hierarchical-graph-network-multi-hop/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuwei Fang, Siqi Sun, Zhe Gan, et al.*2020 · 241 citations*
1450. **[Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/) [Clinical Natural Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Patrick Lewis, Myle Ott, Jingfei Du, et al.*2020 · 241 citations*
1451. **[The Curious Case of Hallucinations in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/raunak-2021-curious-case-hallucinations-neural-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt*2021 · 241 citations*
1452. **[Stance Classification using Dialogic Properties of Persuasion](https://md.research.elamur.ai/free/en/papers/walker-2012-stance-classification-dialogic-properties-persuasion/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Marilyn Walker, Pranav Anand, Rob Abbott, et al.*2012 · 241 citations*
1453. **[Charagram: Embedding Words and Sentences via Character n-grams](https://md.research.elamur.ai/free/en/papers/wieting-2016-charagram-embedding-words-sentences-character/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2016 · 241 citations*
1454. **[Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports](https://md.research.elamur.ai/free/en/papers/zhang-2020-optimizing-factual-correctness-summary-study/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhao Zhang, Derek Merck, Emily Tsai, et al.*2020 · 241 citations*
1455. **[SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets](https://md.research.elamur.ai/free/en/papers/patwa-2020-semeval-2020-task-9-overview/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Parth Patwa, Gustavo Aguilar, Sudipta Kar, et al.*2020 · 240 citations*
1456. **[Trusting Your Evidence: Hallucinate Less with Context-aware Decoding](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 240 citations*
1457. **[“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer](https://md.research.elamur.ai/free/en/papers/sudhakar-2019-transforming-delete-retrieve-generate-approach/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran*2019 · 240 citations*
1458. **[Incorporating Structural Alignment Biases into an Attentional Neural Translation Model](https://md.research.elamur.ai/free/en/papers/cohn-2016-incorporating-structural-alignment-biases-into/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, et al.*2016 · 239 citations*
1459. **[On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/rush-2010-dual-decomposition-linear-programming-relaxations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexander M. Rush, David Sontag, Michael Collins, et al.*2010 · 239 citations*
1460. **[LaMP: When Large Language Models Meet Personalization](https://md.research.elamur.ai/free/en/papers/salemi-2024-lamp-when-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alireza Salemi, Sheshera Mysore, Michael Bendersky, et al.*2024 · 239 citations*
1461. [**Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought arXiv:2210.01240**Abulhair Saparov, He He*2022 · 239 citations*](https://md.research.elamur.ai/free/en/papers/saparov-2022-language-models-greedy-reasoners-systematic/)
1462. **[ASQA: Factoid Questions Meet Long-Form Answers](https://md.research.elamur.ai/free/en/papers/stelmakh-2022-asqa-factoid-questions-meet-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.*2022 · 239 citations*
1463. **[BERT-of-Theseus: Compressing BERT by Progressive Module Replacing](https://md.research.elamur.ai/free/en/papers/xu-2020-bert-theseus-compressing-bert-progressive/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Canwen Xu, Wangchunshu Zhou, Tao Ge, et al.*2020 · 239 citations*
1464. **[Supporting Clustering with Contrastive Learning](https://md.research.elamur.ai/free/en/papers/zhang-2021-supporting-clustering-contrastive-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dejiao Zhang, Feng Nan, Xiaokai Wei, et al.*2021 · 239 citations*
1465. **[Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training](https://md.research.elamur.ai/free/en/papers/agarwal-2021-knowledge-graph-based-synthetic-corpus/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Oshin Agarwal, Heming Ge, Siamak Shakeri, et al.*2021 · 238 citations*
1466. **[Exploiting a Probabilistic Hierarchical Model for Generation](https://md.research.elamur.ai/free/en/papers/bangalore-2000-exploiting-probabilistic-hierarchical-model-generation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Srinivas Bangalore, Owen Rambow*2000 · 238 citations*
1467. **[Irony and Sarcasm: Corpus Generation and Analysis Using Crowdsourcing](https://md.research.elamur.ai/free/en/papers/filatova-2012-irony-sarcasm-corpus-generation-analysis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elena Filatova*2012 · 238 citations*
1468. **[Noisy Channel Language Model Prompting for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/min-2021-noisy-channel-language-model-prompting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.*2021 · 238 citations*
1469. **[Extracting Parallel Sub-Sentential Fragments from Non-Parallel Corpora](https://md.research.elamur.ai/free/en/papers/munteanu-2006-extracting-parallel-sub-sentential-fragments/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dragos Stefan Munteanu, Daniel Marcu*2006 · 238 citations*
1470. **[The Benefits of a Model of Annotation](https://md.research.elamur.ai/free/en/papers/passonneau-2014-benefits-model-annotation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Rebecca J. Passonneau, Bob Carpenter*2014 · 238 citations*
1471. **[A Discriminative Matching Approach to Word Alignment](https://md.research.elamur.ai/free/en/papers/taskar-2005-discriminative-matching-approach-word-alignment/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Ben Taskar, Simon Lacoste-Julien, Dan Klein*2005 · 238 citations*
1472. **[Conventional Orthography for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/habash-2012-conventional-orthography-dialectal-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Nizar Habash, Mona Diab, Owen Rambow*2012 · 237 citations*
1473. **[Selective Sharing for Multilingual Dependency Parsing](https://md.research.elamur.ai/free/en/papers/naseem-2012-selective-sharing-multilingual-dependency-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tahira Naseem, Regina Barzilay, Amir Globerson*2012 · 237 citations*
1474. **[Cats Rule and Dogs Drool!: Classifying Stance in Online Debate](https://md.research.elamur.ai/free/en/papers/anand-2011-cats-rule-dogs-drool-classifying/) [Workshop on Computational Approaches to Subjectivity and Sentiment Analysis](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-approaches-to-subjectivity-and-sentiment-analysis/)**Pranav Anand, Marilyn Walker, Rob Abbott, et al.*2011 · 236 citations*
1475. **[Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models](https://md.research.elamur.ai/free/en/papers/cheng-2023-marked-personas-natural-language-prompts/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Myra Cheng, Esin Durmus, Dan Jurafsky*2023 · 236 citations*
1476. [**Prepositional Phrase Attachment through a Backed-off Model**Michael Collins, James Brooks*1995 · 236 citations*](https://md.research.elamur.ai/free/en/papers/collins-1995-prepositional-phrase-attachment-through-backed/)
1477. **[Translation between Molecules and Natural Language](https://md.research.elamur.ai/free/en/papers/edwards-2022-translation-between-molecules-natural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Carl Edwards, Tuan Lai, Kevin Ros, et al.*2022 · 236 citations*
1478. [**Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey arXiv:2403.14608**Zeyu Han, Chao Gao, Jinyang Liu, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/han-2024-parameter-efficient-fine-tuning-large/)
1479. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*2020 · 236 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
1480. **[Event Extraction as Dependency Parsing](https://md.research.elamur.ai/free/en/papers/mcclosky-2011-event-extraction-as-dependency-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**David McClosky, Mihai Surdeanu, Christopher Manning*2011 · 236 citations*
1481. **[Reframing Instructional Prompts to GPTk's Language](https://md.research.elamur.ai/free/en/papers/mishra-2022-reframing-instructional-prompts-gptk-s/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al.*2022 · 236 citations*
1482. **[Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints](https://md.research.elamur.ai/free/en/papers/mrksic-2017-semantic-specialization-distributional-word-vector/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.*2017 · 236 citations*
1483. [**Transformers learn in-context by gradient descent arXiv:2212.07677**Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.*2022 · 236 citations*](https://md.research.elamur.ai/free/en/papers/oswald-2022-transformers-learn-context-gradient-descent/)
1484. [**Generative Language Modeling for Automated Theorem Proving arXiv:2009.03393**Stanislas Polu, Ilya Sutskever*2020 · 236 citations*](https://md.research.elamur.ai/free/en/papers/polu-2020-generative-language-modeling-automated-theorem/)
1485. [**LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset arXiv:2309.11998**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.*2023 · 236 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-lmsys-chat-1m-large-scale/)
1486. **[Better Document-level Sentiment Analysis from RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*
1487. **[SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge](https://md.research.elamur.ai/free/en/papers/dzikovska-2013-semeval-2013-task-7-joint/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Myroslava Dzikovska, Rodney Nielsen, Chris Brew, et al.*2013 · 235 citations*
1488. **[Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 235 citations*
1489. **[Entropy Rate Constancy in Text](https://md.research.elamur.ai/free/en/papers/genzel-2002-entropy-rate-constancy-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dmitriy Genzel, Eugene Charniak*2002 · 235 citations*
1490. [**Structured Perceptron with Inexact Search**Liang Huang, Suphan Fayong, Yang Guo*2012 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2012-structured-perceptron-inexact-search/)
1491. **[Humanity's Last Exam](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*
1492. **[BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization](https://md.research.elamur.ai/free/en/papers/sharma-2019-bigpatent-large-scale-dataset-abstractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eva Sharma, Chen Li, Lu Wang*2019 · 235 citations*
1493. **[FUDGE: Controlled Text Generation With Future Discriminators](https://md.research.elamur.ai/free/en/papers/yang-2021-fudge-controlled-text-generation-future/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kevin Yang, Dan Klein*2021 · 235 citations*
1494. **[Bayesian Word Sense Induction](https://md.research.elamur.ai/free/en/papers/brody-2009-bayesian-word-sense-induction/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Samuel Brody, Mirella Lapata*2009 · 234 citations*
1495. **[SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification](https://md.research.elamur.ai/free/en/papers/fersini-2022-semeval-2022-task-5-multimedia/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.*2022 · 234 citations*
1496. **[Learning to Understand Phrases by Embedding the Dictionary](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Felix Hill, Kyunghyun Cho, Anna Korhonen, et al.*2016 · 234 citations*
1497. **[The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dirk Hovy, Diyi Yang*2021 · 234 citations*
1498. **[Politeness Transfer: A Tag and Generate Approach](https://md.research.elamur.ai/free/en/papers/madaan-2020-politeness-transfer-tag-generate-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.*2020 · 234 citations*
1499. **[FeTaQA: Free-form Table Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Linyong Nan, Chiachun Hsieh, Ziming Mao, et al.*2022 · 234 citations*
1500. **[MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension](https://md.research.elamur.ai/free/en/papers/talmor-2019-multiqa-empirical-investigation-generalization-transfer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alon Talmor, Jonathan Berant*2019 · 234 citations*

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