---
title: "Language and Linguistics — papers, page 26 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 26 of 93 · 2426–2525, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 26 of 93 · 2426–2525 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Language and Linguistics is a subfield of Arts and Humanities in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Syntax, Semantics, Linguistic Variation».

## Papers (9,206)

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2426. [**Better Summarization Evaluation with Word Embeddings for ROUGE**Jun-Ping Ng, Viktoria Abrecht*2015 · 217 citations*](https://md.research.elamur.ai/free/en/papers/ng-2015-better-summarization-evaluation-word-embeddings/)
2427. [**Inclusive yet Selective: Supervised Distributional Hypernymy Detection**Stephen Roller, Katrin Erk, Gemma Boleda*2014 · 217 citations*](https://md.research.elamur.ai/free/en/papers/roller-2014-inclusive-yet-selective-supervised-distributional/)
2428. [**Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis**Shafiq Joty, Giuseppe Carenini, Raymond Ng, et al.*2013 · 217 citations*](https://md.research.elamur.ai/free/en/papers/joty-2013-combining-intra-multi-sentential-rhetorical/)
2429. [**Strategic conversation**Nicholas Asher, Alex Lascarides*2013 · 217 citations*](https://md.research.elamur.ai/free/en/papers/asher-2013-strategic-conversation/)
2430. [**Are You Sure That This Happened? Assessing the Factuality Degree of Events in Text**Roser Saurí, James Pustejovsky*2012 · 217 citations*](https://md.research.elamur.ai/free/en/papers/sauri-2012-are-you-sure-that-this/)
2431. [**Large Scale Parallel Document Mining for Machine Translation**Jakob Uszkoreit, Jay Ponte, Ashok Popat, et al.*2010 · 217 citations*](https://md.research.elamur.ai/free/en/papers/uszkoreit-2010-large-scale-parallel-document-mining/)
2432. [**Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking**Ryan Roth, Owen Rambow, Nizar Habash, et al.*2008 · 217 citations*](https://md.research.elamur.ai/free/en/papers/roth-2008-arabic-morphological-tagging-diacritization-lemmatization/)
2433. [**Why Doesn't EM Find Good HMM POS-Taggers?**Mark Johnson*2007 · 217 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2007-why-doesn-t-em-find/)
2434. [**Minimum Risk Annealing for Training Log-Linear Models**David A. Smith, Jason Eisner*2006 · 217 citations*](https://md.research.elamur.ai/free/en/papers/smith-2006-minimum-risk-annealing-training-log/)
2435. [**Making Language Models Better Reasoners with Step-Aware Verifier**Yifei Li, Zeqi Lin, Shizhuo Zhang, et al.*2023 · 216 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-making-language-models-better-reasoners/)
2436. [**Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning**Beliz Gunel, Jingfei Du, Alexis Conneau, et al.*2020 · 216 citations*](https://md.research.elamur.ai/free/en/papers/gunel-2020-supervised-contrastive-learning-pre-trained/)
2437. [**Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index**Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, et al.*2019 · 216 citations*](https://md.research.elamur.ai/free/en/papers/seo-2019-real-time-open-domain-question/)
2438. [**SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers**Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, et al.*2018 · 216 citations*](https://md.research.elamur.ai/free/en/papers/gabor-2018-semeval-2018-task-7-semantic/)
2439. [**Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking**Tsung-Hsien Wen, Milica Gašić, Dongho Kim, et al.*2015 · 216 citations*](https://md.research.elamur.ai/free/en/papers/wen-2015-stochastic-language-generation-dialogue-recurrent/)
2440. [**Squibs: What Is a Paraphrase?**Rahul Bhagat, Eduard Hovy*2013 · 216 citations*](https://md.research.elamur.ai/free/en/papers/bhagat-2013-squibs-what-is-paraphrase/)
2441. [**Structured Relation Discovery using Generative Models**Limin Yao, Aria Haghighi, Sebastian Riedel, et al.*2011 · 216 citations*](https://md.research.elamur.ai/free/en/papers/yao-2011-structured-relation-discovery-generative-models/)
2442. [**Sentence and Expression Level Annotation of Opinions in User-Generated Discourse**Cigdem Toprak, Niklas Jakob, Iryna Gurevych*2010 · 216 citations*](https://md.research.elamur.ai/free/en/papers/toprak-2010-sentence-expression-level-annotation-opinions/)
2443. [**AlpaGasus: Training A Better Alpaca with Fewer Data**Lichang Chen, Shiyang Li, Jun Yan, et al.*2023 · 215 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-alpagasus-training-better-alpaca-fewer/)
2444. [**Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4**Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.*2023 · 215 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-logical-reasoning-ability-chatgpt/)
2445. [**Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models**Robert Logan IV, Ivana Balazevic, Eric Wallace, et al.*2022 · 215 citations*](https://md.research.elamur.ai/free/en/papers/iv-2022-cutting-down-prompts-parameters-simple/)
2446. [**Annotating and Modeling Fine-grained Factuality in Summarization**Tanya Goyal, Greg Durrett*2021 · 215 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2021-annotating-modeling-fine-grained-factuality/)
2447. [**Cross-lingual Contextualized Topic Models with Zero-shot Learning**Federico Bianchi, Silvia Terragni, Dirk Hovy, et al.*2021 · 215 citations*](https://md.research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/)
2448. [**Measuring Association Between Labels and Free-Text Rationales**Sarah Wiegreffe, Ana Marasović, Noah A. Smith*2021 · 215 citations*](https://md.research.elamur.ai/free/en/papers/wiegreffe-2021-measuring-association-between-labels-free/)
2449. [**ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations**Fernando Alva-Manchego, Louis Martin, Antoine Bordes, et al.*2020 · 215 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2020-asset-dataset-tuning-evaluation-sentence/)
2450. [**Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training**Margaret Li, Stephen Roller, Ilia Kulikov, et al.*2020 · 215 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-don-t-say-that-making/)
2451. [**You Impress Me: Dialogue Generation via Mutual Persona Perception**Qian Liu, Yihong Chen, Bei Chen, et al.*2020 · 215 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-you-impress-me-dialogue-generation/)
2452. [**OpenKiwi: An Open Source Framework for Quality Estimation**Fabio Kepler, Jonay Trénous, Marcos Treviso, et al.*2019 · 215 citations*](https://md.research.elamur.ai/free/en/papers/kepler-2019-openkiwi-open-source-framework-quality/)
2453. [**Probing the Need for Visual Context in Multimodal Machine Translation**Ozan Caglayan, Pranava Madhyastha, Lucia Specia, et al.*2019 · 215 citations*](https://md.research.elamur.ai/free/en/papers/caglayan-2019-probing-need-visual-context-multimodal/)
2454. [**An Empirical Analysis of Formality in Online Communication**Ellie Pavlick, Joel Tetreault*2016 · 215 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2016-empirical-analysis-formality-online-communication/)
2455. [**CharacTer: Translation Edit Rate on Character Level**Weiyue Wang, Jan-Thorsten Peter, Hendrik Rosendahl, et al.*2016 · 215 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-character-translation-edit-rate-character/)
2456. [**Coreference Resolution in a Modular, Entity-Centered Model**Aria Haghighi, Dan Klein*2010 · 215 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2010-coreference-resolution-modular-entity-centered/)
2457. [**Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations**Jaehun Jung, Lianhui Qin, Sean Welleck, et al.*2022 · 214 citations*](https://md.research.elamur.ai/free/en/papers/jung-2022-maieutic-prompting-logically-consistent-reasoning/)
2458. [**Systematic Inequalities in Language Technology Performance across the World's Languages**Damian Blasi, Antonios Anastasopoulos, Graham Neubig*2022 · 214 citations*](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/)
2459. [**FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow**Xuezhe Ma, Chunting Zhou, Xian Li, et al.*2019 · 214 citations*](https://md.research.elamur.ai/free/en/papers/ma-2019-flowseq-non-autoregressive-conditional-sequence/)
2460. [**Content Selection in Deep Learning Models of Summarization**Chris Kedzie, Kathleen McKeown, Hal Daumé III*2018 · 214 citations*](https://md.research.elamur.ai/free/en/papers/kedzie-2018-content-selection-deep-learning-models/)
2461. [**Learning to Parse and Translate Improves Neural Machine Translation**Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho*2017 · 214 citations*](https://md.research.elamur.ai/free/en/papers/eriguchi-2017-learning-parse-translate-improves-neural/)
2462. [**A Global Joint Model for Semantic Role Labeling**Kristina Toutanova, Aria Haghighi, Christopher D. Manning*2008 · 214 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2008-global-joint-model-semantic-role/)
2463. [**WildChat: 1M ChatGPT Interaction Logs in the Wild**Wenting Zhao, Xiang Ren, Jack Hessel, et al.*2024 · 213 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-wildchat-1m-chatgpt-interaction-logs/)
2464. [**Teaching language models to support answers with verified quotes**Jacob Menick, Maja Trebacz, Vladimir Mikulik, et al.*2022 · 213 citations*](https://md.research.elamur.ai/free/en/papers/menick-2022-teaching-language-models-support-answers/)
2465. [**An Unsupervised Sentence Embedding Method by Mutual Information Maximization**Yan Zhang, Ruidan He, Zuozhu Liu, et al.*2020 · 213 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-unsupervised-sentence-embedding-method-mutual/)
2466. [**Data-Driven Sentence Simplification: Survey and Benchmark**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2020 · 213 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2020-data-driven-sentence-simplification-survey/)
2467. [**TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task**Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig*2020 · 213 citations*](https://md.research.elamur.ai/free/en/papers/alt-2020-tacred-revisited-thorough-evaluation-tacred/)
2468. [**TernaryBERT: Distillation-aware Ultra-low Bit BERT**Wei Zhang, Lu Hou, Yichun Yin, et al.*2020 · 213 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-ternarybert-distillation-aware-ultra-low/)
2469. [**Extractive Summarization of Long Documents by Combining Global and Local Context**Wen Xiao, Giuseppe Carenini*2019 · 213 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2019-extractive-summarization-long-documents-combining/)
2470. [**N-gram Counts and Language Models from the Common Crawl**Christian Buck, Kenneth Heafield, Bas van Ooyen*2014 · 213 citations*](https://md.research.elamur.ai/free/en/papers/buck-2014-n-gram-counts-language-models/)
2471. [**Nonliteral understanding of number words**Justine T. Kao, Jean Y. Wu, Leon Bergen, et al.*2014 · 213 citations*](https://md.research.elamur.ai/free/en/papers/kao-2014-nonliteral-understanding-number-words/)
2472. [**Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases**Yuval Marton, Chris Callison-Burch, Philip Resnik*2009 · 213 citations*](https://md.research.elamur.ai/free/en/papers/marton-2009-improved-statistical-machine-translation-monolingually/)
2473. [**Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation Performance**Roberto Navigli*2006 · 213 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2006-meaningful-clustering-senses-helps-boost/)
2474. [**The LinGO Redwoods Treebank: Motivation and Preliminary Applications**Stephan Oepen, Kristina Toutanova, Stuart Shieber, et al.*2002 · 213 citations*](https://md.research.elamur.ai/free/en/papers/oepen-2002-lingo-redwoods-treebank-motivation-preliminary/)
2475. [**Two-level Description of Turkish Morphology**Kemal Oflazer*1993 · 213 citations*](https://md.research.elamur.ai/free/en/papers/oflazer-1993-two-level-description-turkish-morphology/)
2476. [**Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models**Mosh Levy, Alon Jacoby, Yoav Goldberg*2024 · 212 citations*](https://md.research.elamur.ai/free/en/papers/levy-2024-same-task-more-tokens-impact/)
2477. [**Fine-Grained Human Feedback Gives Better Rewards for Language Model Training**Zeqiu Wu, Yushi Hu, Weijia Shi, et al.*2023 · 212 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-fine-grained-human-feedback-gives/)
2478. [**Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems**Bing Liu, Gokhan Tür, Dilek Hakkani-Tür, et al.*2018 · 212 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-dialogue-learning-human-teaching-feedback/)
2479. [**Syntax for Semantic Role Labeling, To Be, Or Not To Be**Shexia He, Zuchao Li, Hai Zhao, et al.*2018 · 212 citations*](https://md.research.elamur.ai/free/en/papers/he-2018-syntax-semantic-role-labeling-be/)
2480. [**Results of the WMT17 Metrics Shared Task**Ondřej Bojar, Yvette Graham, Amir Kamran*2017 · 212 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-results-wmt17-metrics-shared-task/)
2481. [**Are Word Embedding-based Features Useful for Sarcasm Detection?**Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.*2016 · 212 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/)
2482. [**SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning**Andrew Gordon, Zornitsa Kozareva, Melissa Roemmele*2012 · 212 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2012-semeval-2012-task-7-choice/)
2483. [**First-Order Probabilistic Models for Coreference Resolution**Aron Culotta, Michael Wick, Andrew McCallum*2007 · 212 citations*](https://md.research.elamur.ai/free/en/papers/culotta-2007-first-order-probabilistic-models-coreference/)
2484. [**GAIA: a benchmark for General AI Assistants**Gregoire Mialon, Clementine Fourrier, Craig Swift, et al.*2023 · 211 citations*](https://md.research.elamur.ai/free/en/papers/mialon-2023-gaia-benchmark-general-ai-assistants/)
2485. [**Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!**Yubo Ma, Yixin Cao, Yong Hong, et al.*2023 · 211 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-large-language-model-is-not/)
2486. [**MADLAD-400: A Multilingual And Document-Level Large Audited Dataset**Sneha Kudugunta, Isaac Caswell, Biao Zhang, et al.*2023 · 211 citations*](https://md.research.elamur.ai/free/en/papers/kudugunta-2023-madlad-400-multilingual-document-level/)
2487. [**Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?**Byung-Doh Oh, William Schuler*2023 · 211 citations*](https://md.research.elamur.ai/free/en/papers/oh-2023-why-does-surprisal-larger-transformer/)
2488. [**An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models**Nicholas Meade, Elinor Poole-Dayan, Siva Reddy*2022 · 211 citations*](https://md.research.elamur.ai/free/en/papers/meade-2022-empirical-survey-effectiveness-debiasing-techniques/)
2489. [**Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP**Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.*2022 · 211 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/)
2490. [**Multilingual Offensive Language Identification with Cross-lingual Embeddings**Tharindu Ranasinghe, Marcos Zampieri*2020 · 211 citations*](https://md.research.elamur.ai/free/en/papers/ranasinghe-2020-multilingual-offensive-language-identification-cross/)
2491. [**Answers Unite! Unsupervised Metrics for Reinforced Summarization Models**Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.*2019 · 211 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2019-answers-unite-unsupervised-metrics-reinforced/)
2492. [**Did the Model Understand the Question?**Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, et al.*2018 · 211 citations*](https://md.research.elamur.ai/free/en/papers/mudrakarta-2018-did-model-understand-question/)
2493. [**Cheap Translation for Cross-Lingual Named Entity Recognition**Stephen Mayhew, Chen-Tse Tsai, Dan Roth*2017 · 211 citations*](https://md.research.elamur.ai/free/en/papers/mayhew-2017-cheap-translation-cross-lingual-named/)
2494. [**Deep Multitask Learning for Semantic Dependency Parsing**Hao Peng, Sam Thomson, Noah A. Smith*2017 · 211 citations*](https://md.research.elamur.ai/free/en/papers/peng-2017-deep-multitask-learning-semantic-dependency/)
2495. [**Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints**Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein*2016 · 211 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2016-learning-based-single-document-summarization/)
2496. [**A Syntactic Analysis Method of Long Japanese Sentences Based on the Detection of Conjunctive Structures**Sadao Kurohashi, Makoto Nagao*1994 · 211 citations*](https://md.research.elamur.ai/free/en/papers/kurohashi-1994-syntactic-analysis-method-long-japanese/)
2497. [**Towards History-based Grammars: Using Richer Models for Probabilistic Parsing**Ezra Black, Fred Jelinek, John Lafrerty, et al.*1993 · 211 citations*](https://md.research.elamur.ai/free/en/papers/black-1993-history-based-grammars-richer-models/)
2498. [**Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch**Le Yu, Bowen Yu, Haiyang Yu, et al.*2023 · 210 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-language-models-super-mario-absorbing/)
2499. [**Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning**Pan Lu, Liang Qiu, Kai-Wei Chang, et al.*2022 · 210 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-dynamic-prompt-learning-policy-gradient/)
2500. [**Adversarial Training for Weakly Supervised Event Detection**Xiaozhi Wang, Xu Han, Zhiyuan Liu, et al.*2019 · 210 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-adversarial-training-weakly-supervised-event/)
2501. [**Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer**Cicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi*2018 · 210 citations*](https://md.research.elamur.ai/free/en/papers/santos-2018-fighting-offensive-language-social-media/)
2502. [**Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric**Nafise Sadat Moosavi, Michael Strube*2016 · 210 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2016-which-coreference-evaluation-metric-do/)
2503. [**The CoNLL-2015 Shared Task on Shallow Discourse Parsing**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2015 · 210 citations*](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/)
2504. [**SemEval-2012 Task 1: English Lexical Simplification**Lucia Specia, Sujay Kumar Jauhar, Rada Mihalcea*2012 · 210 citations*](https://md.research.elamur.ai/free/en/papers/specia-2012-semeval-2012-task-1-english/)
2505. [**Towards an ISO Standard for Dialogue Act Annotation**Harry Bunt, Jan Alexandersson, Jean Carletta, et al.*2010 · 210 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2010-iso-standard-dialogue-act-annotation/)
2506. [**Unsupervised Morphological Segmentation with Log-Linear Models**Hoifung Poon, Colin Cherry, Kristina Toutanova*2009 · 210 citations*](https://md.research.elamur.ai/free/en/papers/poon-2009-unsupervised-morphological-segmentation-log-linear/)
2507. [**A Generative Model for Parsing Natural Language to Meaning Representations**Wei Lu, Hwee Tou Ng, Wee Sun Lee, et al.*2008 · 210 citations*](https://md.research.elamur.ai/free/en/papers/lu-2008-generative-model-parsing-natural-language/)
2508. [**LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders**Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.*2024 · 209 citations*](https://md.research.elamur.ai/free/en/papers/behnamghader-2024-llm2vec-large-language-models-secretly/)
2509. [**Compressing Context to Enhance Inference Efficiency of Large Language Models**Yucheng Li, Bo Dong, Frank Guerin, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-compressing-context-enhance-inference-efficiency/)
2510. [**OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models**Anas Awadalla, Irena Gao, Josh Gardner, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/awadalla-2023-openflamingo-open-source-framework-training/)
2511. [**Reinforced Self-Training (ReST) for Language Modeling**Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/gulcehre-2023-reinforced-self-training-rest-language/)
2512. [**Sources of Hallucination by Large Language Models on Inference Tasks**Nick McKenna, Tianyi Li, Liang Cheng, et al.*2023 · 209 citations*](https://md.research.elamur.ai/free/en/papers/mckenna-2023-sources-hallucination-large-language-models/)
2513. [**PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change**Karthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.*2022 · 209 citations*](https://md.research.elamur.ai/free/en/papers/valmeekam-2022-planbench-extensible-benchmark-evaluating-large/)
2514. [**Logical Natural Language Generation from Open-Domain Tables**Wenhu Chen, Jianshu Chen, Yu Su, et al.*2020 · 209 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-logical-natural-language-generation-open/)
2515. [**Morphological Inflection Generation with Hard Monotonic Attention**Roee Aharoni, Yoav Goldberg*2017 · 209 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2017-morphological-inflection-generation-hard-monotonic/)
2516. [**Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution**Sam Wiseman, Alexander M. Rush, Stuart Shieber, et al.*2015 · 209 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2015-learning-anaphoricity-antecedent-ranking-features/)
2517. [**Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE**Yvette Graham*2015 · 209 citations*](https://md.research.elamur.ai/free/en/papers/graham-2015-re-evaluating-automatic-summarization-bleu/)
2518. [**For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia**Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, et al.*2010 · 209 citations*](https://md.research.elamur.ai/free/en/papers/yatskar-2010-sake-simplicity-unsupervised-extraction-lexical/)
2519. [**(Meta-) Evaluation of Machine Translation**Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, et al.*2007 · 209 citations*](https://md.research.elamur.ai/free/en/papers/burch-2007-meta-evaluation-machine-translation/)
2520. [**MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects**Nizar Habash, Owen Rambow*2006 · 209 citations*](https://md.research.elamur.ai/free/en/papers/habash-2006-magead-morphological-analyzer-generator-arabic/)
2521. [**Efficient Parsing of Highly Ambiguous Context-Free Grammars with Bit Vectors**Helmut Schmid*2004 · 209 citations*](https://md.research.elamur.ai/free/en/papers/schmid-2004-efficient-parsing-highly-ambiguous-context/)
2522. [**Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study**Hwee Tou Ng, Bin Wang, Yee Seng Chan*2003 · 209 citations*](https://md.research.elamur.ai/free/en/papers/ng-2003-exploiting-parallel-texts-word-sense/)
2523. [**Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts**Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith*2019 · 208 citations*](https://md.research.elamur.ai/free/en/papers/clark-2019-sentence-mover-s-similarity-automatic/)
2524. [**LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better**Adhiguna Kuncoro, Chris Dyer, John Hale, et al.*2018 · 208 citations*](https://md.research.elamur.ai/free/en/papers/kuncoro-2018-lstms-can-learn-syntax-sensitive/)
2525. [**Universal Decompositional Semantics on Universal Dependencies**Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, et al.*2016 · 208 citations*](https://md.research.elamur.ai/free/en/papers/white-2016-universal-decompositional-semantics-universal-dependencies/)

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