---
title: "Greater Boston — works, page 3 — Elamur Research"
description: "Works of Greater Boston: 357 in our library · page 3 of 4, the most cited first. Among them: Language Models as Agent Models Findings of…"
canonical: "https://research.elamur.ai/free/en/agglomerations/greater-boston/works/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/greater-boston/works/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / [Greater Boston](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/) / [works](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/) / page 3

# Works of Greater Boston

357 · page 3 of 4 · the most cited first · [← Greater Boston](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/)

[← prev](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/page/2/) [1](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/) [2](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/page/2/) **3** [4](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/page/4/) [next →](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/page/4/)

201. **[Language Models as Agent Models](https://md.research.elamur.ai/free/en/papers/andreas-2022-language-models-as-agent-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jacob Andreas*2022 · 157 citations*
202. **[Automatic Stance Detection Using End-to-End Memory Networks](https://md.research.elamur.ai/free/en/papers/mohtarami-2018-automatic-stance-detection-end-end/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mitra Mohtarami, Ramy Baly, James Glass, et al.*2018 · 156 citations*
203. [**DART: Open-Domain Structured Data Record to Text Generation arXiv:2007.02871**Linyong Nan, Dragomir Radev, Rui Zhang, et al.*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/)
204. **[Evaluating Style Transfer for Text](https://md.research.elamur.ai/free/en/papers/mir-2019-evaluating-style-transfer-text/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Remi Mir, Bjarke Felbo, Nick Obradovich, et al.*2019 · 155 citations*
205. **[The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition](https://md.research.elamur.ai/free/en/papers/ali-2016-mgb-2-challenge-arabic-multi/) [IEEE Spoken Language Technology Workshop (SLT)](https://md.research.elamur.ai/free/en/venues/ieee-spoken-language-technology-workshop-slt/)**Ahmed Ali, Peter Bell, James Glass, et al.*2016 · 154 citations*
206. **[Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing](https://md.research.elamur.ai/free/en/papers/wang-2019-cross-lingual-bert-transformation-zero/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuxuan Wang, Wanxiang Che, Jiang Guo, et al.*2019 · 153 citations*
207. **[MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*
208. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset arXiv:2303.03915**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/)
209. **[SyntaxGym: An Online Platform for Targeted Evaluation of Language Models](https://md.research.elamur.ai/free/en/papers/gauthier-2020-syntaxgym-online-platform-targeted-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jon Gauthier, Jennifer Hu, Ethan Wilcox, et al.*2020 · 145 citations*
210. **[Efficient Methods for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/treviso-2023-efficient-methods-natural-language-processing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.*2023 · 145 citations*
211. **[Learning to Resolve Bridging References](https://md.research.elamur.ai/free/en/papers/poesio-2004-learning-resolve-bridging-references/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Massimo Poesio, Rahul Mehta, Axel Maroudas, et al.*2004 · 144 citations*
212. [**Mapping to Declarative Knowledge for Word Problem Solving**Subhro Roy, Dan Roth*2018 · 143 citations*](https://md.research.elamur.ai/free/en/papers/roy-2018-mapping-declarative-knowledge-word-problem/)
213. **[Paragraph-level Simplification of Medical Texts](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.*2021 · 140 citations*
214. [**A fine-grained comparison of pragmatic language understanding in humans and language models**Jennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.*2023 · 136 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-fine-grained-comparison-pragmatic-language/)
215. [**A Roadmap to Pluralistic Alignment arXiv:2402.05070**Taylor Sorensen, Jared Moore, Jillian Fisher, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/sorensen-2024-roadmap-pluralistic-alignment/)
216. **[Prompting is not a substitute for probability measurements in large language models](https://md.research.elamur.ai/free/en/papers/hu-2023-prompting-is-not-substitute-probability/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jennifer Hu, Roger Levy*2023 · 133 citations*
217. **[Linguistic Features for Readability Assessment](https://md.research.elamur.ai/free/en/papers/deutsch-2020-linguistic-features-readability-assessment/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tovly Deutsch, Masoud Jasbi, Stuart Shieber*2020 · 130 citations*
218. [**Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning arXiv:2303.15647**Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.*2023 · 128 citations*](https://md.research.elamur.ai/free/en/papers/lialin-2023-scaling-down-scale-up-guide/)
219. **[MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data](https://md.research.elamur.ai/free/en/papers/zhao-2022-multihiertt-numerical-reasoning-over-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhao, Yunxiang Li, Chenying Li, et al.*2022 · 128 citations*
220. **[Cancelling the Maxim of Quantity: Another challenge for a Gricean theory of Scalar Implicatures](https://md.research.elamur.ai/free/en/papers/fox-2014-cancelling-maxim-quantity-another-challenge/) [Semantics and Pragmatics](https://md.research.elamur.ai/free/en/venues/semantics-and-pragmatics/)**Danny Fox*2014 · 126 citations*
221. **[Revisiting the Uniform Information Density Hypothesis](https://md.research.elamur.ai/free/en/papers/meister-2021-revisiting-uniform-information-density-hypothesis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Clara Meister, Tiago Pimentel, Patrick Haller, et al.*2021 · 123 citations*
222. **[Machine Learning for Ancient Languages: A Survey](https://md.research.elamur.ai/free/en/papers/sommerschield-2023-machine-learning-ancient-languages-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Thea Sommerschield, Yannis Assael, John Pavlopoulos, et al.*2023 · 123 citations*
223. **[Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment](https://md.research.elamur.ai/free/en/papers/wallace-2015-sparse-contextually-informed-models-irony/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Byron C. Wallace, Do Kook Choe, Eugene Charniak*2015 · 123 citations*
224. **[Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/belinkov-2019-don-t-take-premise-granted/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.*2019 · 121 citations*
225. **[InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews](https://md.research.elamur.ai/free/en/papers/wang-2024-incharacter-evaluating-personality-fidelity-role/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xintao Wang, Yunze Xiao, Jen-tse Huang, et al.*2024 · 120 citations*
226. **[Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color](https://md.research.elamur.ai/free/en/papers/abdou-2021-can-language-models-encode-perceptual/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, et al.*2021 · 119 citations*
227. **[Sarcasm Analysis Using Conversation Context](https://md.research.elamur.ai/free/en/papers/ghosh-2018-sarcasm-analysis-conversation-context/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan*2018 · 119 citations*
228. **[EM Works for Pronoun Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/charniak-2009-em-works-pronoun-anaphora-resolution/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Eugene Charniak, Micha Elsner*2009 · 118 citations*
229. [**Pretraining Language Models with Human Preferences arXiv:2302.08582**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/)
230. [**Arabic Diacritization Using Weighted Finite-State Transducers**Rani Nelken, Stuart M. Shieber*2005 · 116 citations*](https://md.research.elamur.ai/free/en/papers/nelken-2005-arabic-diacritization-weighted-finite-state/)
231. **[PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts](https://md.research.elamur.ai/free/en/papers/dernoncourt-2017-pubmed-200k-rct-dataset-sequential/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Franck Dernoncourt, Ji Young Lee*2017 · 115 citations*
232. **[Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers](https://md.research.elamur.ai/free/en/papers/wang-2015-boosting-transition-based-amr-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 115 citations*
233. [**CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution arXiv:2401.03065**Alex Gu, Baptiste Rozière, Hugh Leather, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/gu-2024-cruxeval-benchmark-code-reasoning-understanding/)
234. **[Argument Generation with Retrieval, Planning, and Realization](https://md.research.elamur.ai/free/en/papers/hua-2019-argument-generation-retrieval-planning-realization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Hua, Zhe Hu, Lu Wang*2019 · 113 citations*
235. [**Certifying LLM Safety against Adversarial Prompting arXiv:2309.02705**Aounon Kumar, Chirag Agarwal, Suraj Srinivas, et al.*2023 · 110 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2023-certifying-llm-safety-against-adversarial/)
236. [**Universal Dependencies for Learner English**Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, et al.*2016 · 109 citations*](https://md.research.elamur.ai/free/en/papers/berzak-2016-universal-dependencies-learner-english/)
237. [**Olmo 3 arXiv:2512.13961**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
238. [**Deliberative Alignment: Reasoning Enables Safer Language Models arXiv:2412.16339**Melody Y. Guan, Manas Joglekar, Eric Wallace, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/guan-2024-deliberative-alignment-reasoning-enables-safer/)
239. [**Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features**Yuval Marton, Nizar Habash, Owen Rambow*2013 · 109 citations*](https://md.research.elamur.ai/free/en/papers/marton-2013-dependency-parsing-modern-standard-arabic/)
240. [**Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification arXiv:2308.07921**Aojun Zhou, Ke Wang, Zimu Lu, et al.*2023 · 109 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-solving-challenging-math-word-problems/)
241. **[We're Afraid Language Models Aren't Modeling Ambiguity](https://md.research.elamur.ai/free/en/papers/liu-2023-we-re-afraid-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alisa Liu, Zhaofeng Wu, Julian Michael, et al.*2023 · 108 citations*
242. [**Data Engineering for Scaling Language Models to 128K Context arXiv:2402.10171**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)
243. **[End-to-End Bias Mitigation by Modelling Biases in Corpora](https://md.research.elamur.ai/free/en/papers/mahabadi-2020-end-end-bias-mitigation-modelling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson*2020 · 107 citations*
244. **[Increasing Informativeness in Temporal Annotation](https://md.research.elamur.ai/free/en/papers/pustejovsky-2011-increasing-informativeness-temporal-annotation/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**James Pustejovsky, Amber Stubbs*2011 · 107 citations*
245. [**An HMM Approach to Vowel Restoration in Arabic and Hebrew**Ya'akov Gal*2002 · 106 citations*](https://md.research.elamur.ai/free/en/papers/gal-2002-hmm-approach-vowel-restoration-arabic/)
246. [**Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech**Nianwen Xue, Ondřej Bojar, Jan Hajič, et al.*2014 · 106 citations*](https://md.research.elamur.ai/free/en/papers/xue-2014-not-interlingua-but-close-comparison/)
247. [**Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs arXiv:2410.18451**Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.*2024 · 104 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-skywork-reward-bag-tricks/)
248. **[An Alternative Conception of Tree-Adjoining Derivation](https://md.research.elamur.ai/free/en/papers/schabes-1994-alternative-conception-tree-adjoining-derivation/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Yves Schabes, Stuart M. Shieber*1994 · 103 citations*
249. **[A Unified Local and Global Model for Discourse Coherence](https://md.research.elamur.ai/free/en/papers/elsner-2007-unified-local-global-model-discourse/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Micha Elsner, Joseph Austerweil, Eugene Charniak*2007 · 102 citations*
250. **[MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing](https://md.research.elamur.ai/free/en/papers/oepen-2020-mrp-2020-second-shared-task/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Stephan Oepen, Omri Abend, Lasha Abzianidze, et al.*2020 · 101 citations*
251. **[BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting](https://md.research.elamur.ai/free/en/papers/yong-2023-bloom-1-adding-language-support/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, et al.*2023 · 101 citations*
252. [**Inverse Scaling: When Bigger Isn't Better arXiv:2306.09479 · Transactions on Machine Learning Research (TMLR), 10/2023, https://openreview.net/forum?id=DwgRm72GQF**Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.*2023 · 99 citations*](https://md.research.elamur.ai/free/en/papers/mckenzie-2023-inverse-scaling-bigger-isn-t/)
253. **[On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/belinkov-2019-adversarial-removal-hypothesis-only-bias/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.*2019 · 95 citations*
254. [**Arabic Diacritization with Recurrent Neural Networks**Yonatan Belinkov, James Glass*2015 · 93 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2015-arabic-diacritization-recurrent-neural-networks/)
255. **[A Report on the 2020 Sarcasm Detection Shared Task](https://md.research.elamur.ai/free/en/papers/ghosh-2020-report-2020-sarcasm-detection-shared/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan*2020 · 92 citations*
256. **[Machine Comprehension with Discourse Relations](https://md.research.elamur.ai/free/en/papers/narasimhan-2015-machine-comprehension-discourse-relations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Karthik Narasimhan, Regina Barzilay*2015 · 91 citations*
257. **[Frequency Effects on Syntactic Rule Learning in Transformers](https://md.research.elamur.ai/free/en/papers/wei-2021-frequency-effects-syntactic-rule-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jason Wei, Dan Garrette, Tal Linzen, et al.*2021 · 91 citations*
258. **[BERT Busters: Outlier Dimensions that Disrupt Transformers](https://md.research.elamur.ai/free/en/papers/kovaleva-2021-bert-busters-outlier-dimensions-that/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, et al.*2021 · 90 citations*
259. [**Retrieval Head Mechanistically Explains Long-Context Factuality arXiv:2404.15574**Wenhao Wu, Yizhong Wang, Guangxuan Xiao, et al.*2024 · 90 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-retrieval-head-mechanistically-explains-long/)
260. **[CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies](https://md.research.elamur.ai/free/en/papers/shi-2024-culturebank-online-community-driven-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weiyan Shi, Ryan Li, Yutong Zhang, et al.*2024 · 88 citations*
261. **[RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs](https://md.research.elamur.ai/free/en/papers/akyurek-2023-rl4f-generating-natural-language-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, et al.*2023 · 87 citations*
262. [**A Survey of Large Language Models in Medicine: Progress, Application, and Challenge arXiv:2311.05112**Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/)
263. **[Multilingual Large Language Models Are Not (Yet) Code-Switchers](https://md.research.elamur.ai/free/en/papers/zhang-2023-multilingual-large-language-models-are/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, et al.*2023 · 85 citations*
264. **[Coreference-inspired Coherence Modeling](https://md.research.elamur.ai/free/en/papers/elsner-2008-coreference-inspired-coherence-modeling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Micha Elsner, Eugene Charniak*2008 · 84 citations*
265. **[A Systematic Study of Neural Discourse Models for Implicit Discourse Relation](https://md.research.elamur.ai/free/en/papers/rutherford-2017-systematic-study-neural-discourse-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Attapol Rutherford, Vera Demberg, Nianwen Xue*2017 · 78 citations*
266. [**Pragmatically Informative Text Generation**Sheng Shen, Daniel Fried, Jacob Andreas, et al.*2019 · 78 citations*](https://md.research.elamur.ai/free/en/papers/shen-2019-pragmatically-informative-text-generation/)
267. **[Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps](https://md.research.elamur.ai/free/en/papers/chuang-2024-lookback-lens-detecting-mitigating-contextual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.*2024 · 76 citations*
268. [**RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency arXiv:1809.01329**Richard Futrell, Ethan Wilcox, Takashi Morita, et al.*2018 · 75 citations*](https://md.research.elamur.ai/free/en/papers/futrell-2018-rnns-psycholinguistic-subjects-syntactic-state/)
269. [**ReLoRA: High-Rank Training Through Low-Rank Updates arXiv:2307.05695**Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, et al.*2023 · 74 citations*](https://md.research.elamur.ai/free/en/papers/lialin-2023-relora-high-rank-training-through/)
270. **[The Computational Complexity of Avoiding Conversational Implicatures](https://md.research.elamur.ai/free/en/papers/reiter-1990-computational-complexity-avoiding-conversational-implicatures/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ehud Reiter*1990 · 73 citations*
271. [**Agent Workflow Memory arXiv:2409.07429**Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-agent-workflow-memory/)
272. **[POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection](https://md.research.elamur.ai/free/en/papers/liu-2022-politics-pretraining-same-story-article/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yujian Liu, Xinliang Frederick Zhang, David Wegsman, et al.*2022 · 70 citations*
273. [**Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models arXiv:2305.14705**Sheng Shen, Le Hou, Yanqi Zhou, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-mixture-experts-meets-instruction-tuning/)
274. **[A Rate–Distortion view of human pragmatic reasoning?](https://md.research.elamur.ai/free/en/papers/zaslavsky-2021-rate-distortion-view-human-pragmatic/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Noga Zaslavsky, Jennifer Hu, Roger P. Levy*2021 · 69 citations*
275. **[Tokenization Is More Than Compression](https://md.research.elamur.ai/free/en/papers/schmidt-2024-tokenization-is-more-than-compression/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Craig W Schmidt, Varshini Reddy, Haoran Zhang, et al.*2024 · 66 citations*
276. **[Figurative Language in Recognizing Textual Entailment](https://md.research.elamur.ai/free/en/papers/chakrabarty-2021-figurative-language-recognizing-textual-entailment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, et al.*2021 · 63 citations*
277. [**Solving Thematic Divergences in Machine Translation**Bonnie Dorr*1990 · 63 citations*](https://md.research.elamur.ai/free/en/papers/dorr-1990-solving-thematic-divergences-machine-translation/)
278. [**Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering**Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al.*2021 · 63 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/)
279. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets arXiv:1906.01830**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
280. [**How well do NLI models capture verb veridicality?**Alexis Ross, Ellie Pavlick*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/ross-2019-how-well-do-nli-models/)
281. [**Large Language Model Routing with Benchmark Datasets arXiv:2309.15789**Tal Shnitzer, Anthony Ou, Mirian Silva, et al.*2023 · 61 citations*](https://md.research.elamur.ai/free/en/papers/shnitzer-2023-large-language-model-routing-benchmark/)
282. [**Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation**Dun Deng, Nianwen Xue*2017 · 55 citations*](https://md.research.elamur.ai/free/en/papers/deng-2017-translation-divergences-chinese-english-machine/)
283. **[Unsupervised Grammar Induction with Depth-bounded PCFG](https://md.research.elamur.ai/free/en/papers/jin-2018-unsupervised-grammar-induction-depth-bounded/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lifeng Jin, Finale Doshi-Velez, Timothy Miller, et al.*2018 · 55 citations*
284. [**Parsing and presuppositions in the calculation of local contexts**Matt Mandelkern, Jacopo Romoli*2017 · 52 citations*](https://md.research.elamur.ai/free/en/papers/mandelkern-2017-parsing-presuppositions-calculation-local-contexts/)
285. **[How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech](https://md.research.elamur.ai/free/en/papers/yedetore-2023-how-poor-is-stimulus-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Yedetore, Tal Linzen, Robert Frank, et al.*2023 · 48 citations*
286. [**Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment**Yonatan Belinkov, Tao Lei, Regina Barzilay, et al.*2014 · 45 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2014-exploring-compositional-architectures-word-vector/)
287. [**Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B**Jiaming Luo, Yuan Cao, Regina Barzilay*2019 · 43 citations*](https://md.research.elamur.ai/free/en/papers/luo-2019-neural-decipherment-minimum-cost-flow/)
288. **[Robust Non-Explicit Neural Discourse Parser in English and Chinese](https://md.research.elamur.ai/free/en/papers/rutherford-2016-robust-non-explicit-neural-discourse/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Attapol Rutherford, Nianwen Xue*2016 · 41 citations*
289. [**STARC: Structured Annotations for Reading Comprehension**Yevgeni Berzak, Jonathan Malmaud, Roger Levy*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/berzak-2020-starc-structured-annotations-reading-comprehension/)
290. **[Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)](https://md.research.elamur.ai/free/en/papers/muller-2023-findings-second-wmt-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, et al.*2023 · 39 citations*
291. **[Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches](https://md.research.elamur.ai/free/en/papers/fried-2023-pragmatics-language-grounding-phenomena-tasks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniel Fried, Nicholas Tomlin, Jennifer Hu, et al.*2023 · 36 citations*
292. **[A note on the architecture of presupposition](https://md.research.elamur.ai/free/en/papers/mandelkern-2016-note-architecture-presupposition/) [Semantics and Pragmatics](https://md.research.elamur.ai/free/en/venues/semantics-and-pragmatics/)**Matthew Mandelkern*2016 · 35 citations*
293. [**Tweet Acts: A Speech Act Classifier for Twitter arXiv:1605.05156**Soroush Vosoughi, Deb Roy*2016 · 32 citations*](https://md.research.elamur.ai/free/en/papers/vosoughi-2016-tweet-acts-speech-act-classifier/)
294. [**Classifying Syntactic Errors in Learner Language**Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, et al.*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/choshen-2020-classifying-syntactic-errors-learner-language/)
295. [**Unsupervised Morphology Rivals Supervised Morphology for Arabic MT**David Stallard, Jacob Devlin, Michael Kayser, et al.*2012 · 30 citations*](https://md.research.elamur.ai/free/en/papers/stallard-2012-unsupervised-morphology-rivals-supervised-morphology/)
296. [**Deciphering Undersegmented Ancient Scripts Using Phonetic Prior**Jiaming Luo, Frederik Hartmann, Enrico Santus, et al.*2021 · 29 citations*](https://md.research.elamur.ai/free/en/papers/luo-2021-deciphering-undersegmented-ancient-scripts-phonetic/)
297. **[Holistic Discourse Coherence Annotation for Noisy Essay Writing](https://md.research.elamur.ai/free/en/papers/burstein-2013-holistic-discourse-coherence-annotation-noisy/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Jill Burstein, Joel Tetreault, Martin Chodorow*2013 · 28 citations*
298. **[Presuppositional exhaustification](https://md.research.elamur.ai/free/en/papers/bassi-2021-presuppositional-exhaustification/) [Semantics and Pragmatics](https://md.research.elamur.ai/free/en/venues/semantics-and-pragmatics/)**Itai Bassi, Guillermo Del Pinal, Uli Sauerland*2021 · 27 citations*
299. [**VerbNet Representations: Subevent Semantics for Transfer Verbs**Susan Windisch Brown, Julia Bonn, James Gung, et al.*2019 · 27 citations*](https://md.research.elamur.ai/free/en/papers/brown-2019-verbnet-representations-subevent-semantics-transfer/)
300. **["With 1 follower I must be AWESOME :P". Exploring the role of irony markers in irony recognition](https://md.research.elamur.ai/free/en/papers/ghosh-2018-1-follower-i-must-awesome/) [Proceedings of the International AAAI Conference on Web and Social Media](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-international-aaai-conference-on-web-and-social-media/)**Debanjan Ghosh, Smaranda Muresan*2018 · 27 citations*

[← prev](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/page/2/) [1](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/) [2](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/page/2/) **3** [4](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/page/4/) [next →](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/works/page/4/)

- [← back to](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/) — Greater Boston