---
title: "Language and Linguistics — papers, page 23 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 23 of 93 · 2126–2225, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 23 of 93 · 2126–2225 · 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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2126. [**SIMPLE: A General Framework for the Development of Multilingual Lexicons**Nuria Bel, Federica Busa, Nicoletta Calzolari, et al.*2000 · 250 citations*](https://md.research.elamur.ai/free/en/papers/bel-2000-simple-general-framework-development-multilingual/)
2127. [**Measuring Faithfulness in Chain-of-Thought Reasoning**Tamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.*2023 · 249 citations*](https://md.research.elamur.ai/free/en/papers/lanham-2023-measuring-faithfulness-chain-thought-reasoning/)
2128. [**Fast and Accurate Shift-Reduce Constituent Parsing**Muhua Zhu, Yue Zhang, Wenliang Chen, et al.*2013 · 249 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2013-fast-accurate-shift-reduce-constituent/)
2129. [**Generalizing Word Lattice Translation**Christopher Dyer, Smaranda Muresan, Philip Resnik*2008 · 249 citations*](https://md.research.elamur.ai/free/en/papers/dyer-2008-generalizing-word-lattice-translation/)
2130. [**Prototype-Driven Learning for Sequence Models**Aria Haghighi, Dan Klein*2006 · 249 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2006-prototype-driven-learning-sequence-models/)
2131. [**PageRank on Semantic Networks, with Application to Word Sense Disambiguation**Rada Mihalcea, Paul Tarau, Elizabeth Figa*2004 · 249 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2004-pagerank-semantic-networks-application-word/)
2132. [**LeanDojo: Theorem Proving with Retrieval-Augmented Language Models**Kaiyu Yang, Aidan M. Swope, Alex Gu, et al.*2023 · 248 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-leandojo-theorem-proving-retrieval-augmented/)
2133. [**Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings**Rishi Bommasani, Kelly Davis, Claire Cardie*2020 · 248 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2020-interpreting-pretrained-contextualized-representations-reductions/)
2134. [**Linear Algebraic Structure of Word Senses, with Applications to Polysemy**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2018 · 248 citations*](https://md.research.elamur.ai/free/en/papers/arora-2018-linear-algebraic-structure-word-senses/)
2135. [**Reasoning with Sarcasm by Reading In-Between**Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.*2018 · 248 citations*](https://md.research.elamur.ai/free/en/papers/tay-2018-reasoning-sarcasm-reading-between/)
2136. [**A Statistical Model for Multilingual Entity Detection and Tracking**R. Florian, H. Hassan, A. Ittycheriah, et al.*2004 · 248 citations*](https://md.research.elamur.ai/free/en/papers/florian-2004-statistical-model-multilingual-entity-detection/)
2137. [**A Fast and Portable Realizer for Text Generation Systems**Benoit Lavoie, Owen Rainbow*1997 · 248 citations*](https://md.research.elamur.ai/free/en/papers/lavoie-1997-fast-portable-realizer-text-generation/)
2138. [**OpenAI GPT-5 System Card**Aaditya Singh, Adam Fry, Adam Perelman, et al.*2025 · 247 citations*](https://md.research.elamur.ai/free/en/papers/singh-2025-openai-gpt-5-system-card/)
2139. [**RedPajama: an Open Dataset for Training Large Language Models**Maurice Weber, Daniel Fu, Quentin Anthony, et al.*2024 · 247 citations*](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/)
2140. [**SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension**Bohao Li, Rui Wang, Guangzhi Wang, et al.*2023 · 247 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-seed-bench-benchmarking-multimodal-llms/)
2141. [**Contrastive Decoding: Open-ended Text Generation as Optimization**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/)
2142. [**MedDialog: Large-scale Medical Dialogue Datasets**Guangtao Zeng, Wenmian Yang, Zeqian Ju, et al.*2020 · 247 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2020-meddialog-large-scale-medical-dialogue/)
2143. [**Neural Cross-Lingual Named Entity Recognition with Minimal Resources**Jiateng Xie, Zhilin Yang, Graham Neubig, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/)
2144. [**A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models**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/)
2145. [**Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction**Lu Xu, Yew Ken Chia, Lidong Bing*2021 · 246 citations*](https://md.research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/)
2146. [**Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction**Shun Zheng, Wei Cao, Wei Xu, et al.*2019 · 246 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2019-doc2edag-end-end-document-level/)
2147. [**Personalizing Dialogue Agents via Meta-Learning**Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, et al.*2019 · 246 citations*](https://md.research.elamur.ai/free/en/papers/madotto-2019-personalizing-dialogue-agents-meta-learning/)
2148. [**Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset**Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, et al.*2019 · 246 citations*](https://md.research.elamur.ai/free/en/papers/byrne-2019-taskmaster-1-realistic-diverse-dialog/)
2149. [**Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces**Anthony Rios, Ramakanth Kavuluru*2018 · 246 citations*](https://md.research.elamur.ai/free/en/papers/rios-2018-few-shot-zero-shot-multi/)
2150. [**Cross-lingual Models of Word Embeddings: An Empirical Comparison**Shyam Upadhyay, Manaal Faruqui, Chris Dyer, et al.*2016 · 246 citations*](https://md.research.elamur.ai/free/en/papers/upadhyay-2016-cross-lingual-models-word-embeddings/)
2151. [**Using a sledgehammer to crack a nut? Lexical diversity and event coreference resolution**Agata Cybulska, Piek Vossen*2014 · 246 citations*](https://md.research.elamur.ai/free/en/papers/cybulska-2014-sledgehammer-crack-nut-lexical-diversity/)
2152. [**Learning Context-Dependent Mappings from Sentences to Logical Form**Luke Zettlemoyer, Michael Collins*2009 · 246 citations*](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2009-learning-context-dependent-mappings-sentences/)
2153. [**Automatic Evaluation of Information Ordering: Kendall's Tau**Mirella Lapata*2006 · 246 citations*](https://md.research.elamur.ai/free/en/papers/lapata-2006-automatic-evaluation-information-ordering-kendall/)
2154. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model**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/)
2155. [**MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning**Xiangru Tang, Anni Zou, Zhuosheng Zhang, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-medagents-large-language-models-as/)
2156. [**NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark**Oscar Sainz, Jon Campos, Iker García-Ferrero, et al.*2023 · 245 citations*](https://md.research.elamur.ai/free/en/papers/sainz-2023-nlp-evaluation-trouble-need-measure/)
2157. [**Ignore Previous Prompt: Attack Techniques For Language Models**Fabio Perez, Ian Ribeiro*2022 · 245 citations*](https://md.research.elamur.ai/free/en/papers/perez-2022-ignore-previous-prompt-attack-techniques/)
2158. [**Automatic Detection of Machine Generated Text: A Critical Survey**Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.*2020 · 245 citations*](https://md.research.elamur.ai/free/en/papers/jawahar-2020-automatic-detection-machine-generated-text/)
2159. [**Knowledge-Grounded Dialogue Generation with Pre-trained Language Models**Xueliang Zhao, Wei Wu, Can Xu, et al.*2020 · 245 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/)
2160. [**Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT**Zhiyong Wu, Yun Chen, Ben Kao, et al.*2020 · 245 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-perturbed-masking-parameter-free-probing/)
2161. [**Can You Unpack That? Learning to Rewrite Questions-in-Context**Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber*2019 · 245 citations*](https://md.research.elamur.ai/free/en/papers/elgohary-2019-can-you-unpack-that-learning/)
2162. [**ASPEC: Asian Scientific Paper Excerpt Corpus**Toshiaki Nakazawa, Manabu Yaguchi, Kiyotaka Uchimoto, et al.*2016 · 245 citations*](https://md.research.elamur.ai/free/en/papers/nakazawa-2016-aspec-asian-scientific-paper-excerpt/)
2163. [**Hallucinations in Large Multilingual Translation Models**Nuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.*2023 · 244 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-hallucinations-large-multilingual-translation-models/)
2164. [**MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers**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/)
2165. [**NCRF++: An Open-source Neural Sequence Labeling Toolkit**Jie Yang, Yue Zhang*2018 · 244 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-ncrf-open-source-neural-sequence/)
2166. [**Demographic Factors Improve Classification Performance**Dirk Hovy*2015 · 244 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2015-demographic-factors-improve-classification-performance/)
2167. [**Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters**Olutobi Owoputi, Brendan O'Connor, Chris Dyer, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/owoputi-2013-improved-part-speech-tagging-online/)
2168. [**Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/)
2169. [**HOO 2012: A Report on the Preposition and Determiner Error Correction Shared Task**Robert Dale, Ilya Anisimoff, George Narroway*2012 · 244 citations*](https://md.research.elamur.ai/free/en/papers/dale-2012-hoo-2012-report-preposition-determiner/)
2170. [**SMOR: A German Computational Morphology Covering Derivation, Composition and Inflection**Helmut Schmid, Arne Fitschen, Ulrich Heid*2004 · 244 citations*](https://md.research.elamur.ai/free/en/papers/schmid-2004-smor-german-computational-morphology-covering/)
2171. [**Estimators for Stochastic “Unification-Based” Grammars**Mark Johnson, Stuart Geman, Stephen Canon, et al.*1999 · 244 citations*](https://md.research.elamur.ai/free/en/papers/johnson-1999-estimators-stochastic-unification-based-grammars/)
2172. [**KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache**Zirui Liu, Jiayi Yuan, Hongye Jin, et al.*2024 · 243 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-kivi-tuning-free-asymmetric-2bit/)
2173. [**Multimodal Few-Shot Learning with Frozen Language Models**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/)
2174. [**CLUE: A Chinese Language Understanding Evaluation Benchmark**Liang Xu, Hai Hu, Xuanwei Zhang, et al.*2020 · 243 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-clue-chinese-language-understanding/)
2175. [**Argumentation Mining in User-Generated Web Discourse**Ivan Habernal, Iryna Gurevych*2017 · 243 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2017-argumentation-mining-user-generated-web/)
2176. [**Learning to Distinguish Hypernyms and Co-Hyponyms**Julie Weeds, Daoud Clarke, Jeremy Reffin, et al.*2014 · 243 citations*](https://md.research.elamur.ai/free/en/papers/weeds-2014-learning-distinguish-hypernyms-co-hyponyms/)
2177. [**Word-Sense Disambiguation for Machine Translation**David Vickrey, Luke Biewald, Marc Teyssier, et al.*2005 · 243 citations*](https://md.research.elamur.ai/free/en/papers/vickrey-2005-word-sense-disambiguation-machine-translation/)
2178. [**Chinese Part-of-Speech Tagging: One-at-a-Time or All-at-Once? Word-Based or Character-Based?**Hwee Tou Ng, Jin Kiat Low*2004 · 243 citations*](https://md.research.elamur.ai/free/en/papers/ng-2004-chinese-part-speech-tagging-one/)
2179. [**Factuality Challenges in the Era of Large Language Models**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 242 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/)
2180. [**In-context Examples Selection for Machine Translation**Sweta Agrawal, Chunting Zhou, Mike Lewis, et al.*2023 · 242 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2023-context-examples-selection-machine-translation/)
2181. [**Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations**Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.*2023 · 242 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-synthetic-data-generation-large-language/)
2182. [**ZeroGen: Efficient Zero-shot Learning via Dataset Generation**Jiacheng Ye, Jiahui Gao, Qintong Li, et al.*2022 · 242 citations*](https://md.research.elamur.ai/free/en/papers/ye-2022-zerogen-efficient-zero-shot-learning/)
2183. [**Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis**Zhuang Chen, Tieyun Qian*2020 · 242 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-relation-aware-collaborative-learning-unified/)
2184. [**EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing**Yue Dong, Zichao Li, Mehdi Rezagholizadeh, et al.*2019 · 242 citations*](https://md.research.elamur.ai/free/en/papers/dong-2019-editnts-neural-programmer-interpreter-model/)
2185. [**Training Neural Machine Translation to Apply Terminology Constraints**Georgiana Dinu, Prashant Mathur, Marcello Federico, et al.*2019 · 242 citations*](https://md.research.elamur.ai/free/en/papers/dinu-2019-training-neural-machine-translation-apply/)
2186. [**Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling**Xiaochuang Han, Jacob Eisenstein*2019 · 242 citations*](https://md.research.elamur.ai/free/en/papers/han-2019-unsupervised-domain-adaptation-contextualized-embeddings/)
2187. [**Towards Exploiting Background Knowledge for Building Conversation Systems**Nikita Moghe, Siddhartha Arora, Suman Banerjee, et al.*2018 · 242 citations*](https://md.research.elamur.ai/free/en/papers/moghe-2018-exploiting-background-knowledge-building-conversation/)
2188. [**Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models**Yuanlong Shao, Stephan Gouws, Denny Britz, et al.*2017 · 242 citations*](https://md.research.elamur.ai/free/en/papers/shao-2017-generating-high-quality-informative-conversation/)
2189. [**Multi-domain Neural Network Language Generation for Spoken Dialogue Systems**Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, et al.*2016 · 242 citations*](https://md.research.elamur.ai/free/en/papers/wen-2016-multi-domain-neural-network-language/)
2190. [**Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge**Altaf Rahman, Vincent Ng*2012 · 242 citations*](https://md.research.elamur.ai/free/en/papers/rahman-2012-resolving-complex-cases-definite-pronouns/)
2191. [**Experiments with a Multilanguage Non-Projective Dependency Parser**Giuseppe Attardi*2006 · 242 citations*](https://md.research.elamur.ai/free/en/papers/attardi-2006-experiments-multilanguage-non-projective-dependency/)
2192. [**Scaling Web-based Acquisition of Entailment Relations**Idan Szpektor, Hristo Tanev, Ido Dagan, et al.*2004 · 242 citations*](https://md.research.elamur.ai/free/en/papers/szpektor-2004-scaling-web-based-acquisition-entailment/)
2193. [**Large Language Monkeys: Scaling Inference Compute with Repeated Sampling**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/)
2194. [**Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals**Yanai Elazar, Shauli Ravfogel, Alon Jacovi, et al.*2021 · 241 citations*](https://md.research.elamur.ai/free/en/papers/elazar-2021-amnesic-probing-behavioral-explanation-amnesic/)
2195. [**The Curious Case of Hallucinations in Neural Machine Translation**Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt*2021 · 241 citations*](https://md.research.elamur.ai/free/en/papers/raunak-2021-curious-case-hallucinations-neural-machine/)
2196. [**A review of sentiment analysis research in Arabic language**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
2197. [**Hierarchical Graph Network for Multi-hop Question Answering**Yuwei Fang, Siqi Sun, Zhe Gan, et al.*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/fang-2020-hierarchical-graph-network-multi-hop/)
2198. [**Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports**Yuhao Zhang, Derek Merck, Emily Tsai, et al.*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-optimizing-factual-correctness-summary-study/)
2199. [**Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art**Patrick Lewis, Myle Ott, Jingfei Du, et al.*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/)
2200. [**Charagram: Embedding Words and Sentences via Character n-grams**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2016 · 241 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2016-charagram-embedding-words-sentences-character/)
2201. [**Simplifying Lexical Simplification: Do We Need Simplified Corpora?**Goran Glavaš, Sanja Štajner*2015 · 241 citations*](https://md.research.elamur.ai/free/en/papers/glavas-2015-simplifying-lexical-simplification-do-we/)
2202. [**Stance Classification using Dialogic Properties of Persuasion**Marilyn Walker, Pranav Anand, Rob Abbott, et al.*2012 · 241 citations*](https://md.research.elamur.ai/free/en/papers/walker-2012-stance-classification-dialogic-properties-persuasion/)
2203. [**Domain Adaptation for Statistical Machine Translation with Monolingual Resources**Nicola Bertoldi, Marcello Federico*2009 · 241 citations*](https://md.research.elamur.ai/free/en/papers/bertoldi-2009-domain-adaptation-statistical-machine-translation/)
2204. [**Trusting Your Evidence: Hallucinate Less with Context-aware Decoding**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 240 citations*](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/)
2205. [**MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems**Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-mintl-minimalist-transfer-learning-task/)
2206. [**SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets**Parth Patwa, Gustavo Aguilar, Sudipta Kar, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/patwa-2020-semeval-2020-task-9-overview/)
2207. [**“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer**Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran*2019 · 240 citations*](https://md.research.elamur.ai/free/en/papers/sudhakar-2019-transforming-delete-retrieve-generate-approach/)
2208. [**Comparing Automatic and Human Evaluation of Local Explanations for Text Classification**Dong Nguyen*2018 · 240 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2018-comparing-automatic-human-evaluation-local/)
2209. [**A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus.**Kristina Gulordava, Marco Baroni*2011 · 240 citations*](https://md.research.elamur.ai/free/en/papers/gulordava-2011-distributional-similarity-approach-detection-semantic/)
2210. [**The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts**György Szarvas, Veronika Vincze, Richárd Farkas, et al.*2008 · 240 citations*](https://md.research.elamur.ai/free/en/papers/szarvas-2008-bioscope-corpus-annotation-negation-uncertainty/)
2211. [**Combining Outputs from Multiple Machine Translation Systems**Antti-Veikko Rosti, Necip Fazil Ayan, Bing Xiang, et al.*2007 · 240 citations*](https://md.research.elamur.ai/free/en/papers/rosti-2007-combining-outputs-multiple-machine-translation/)
2212. [**LaMP: When Large Language Models Meet Personalization**Alireza Salemi, Sheshera Mysore, Michael Bendersky, et al.*2024 · 239 citations*](https://md.research.elamur.ai/free/en/papers/salemi-2024-lamp-when-large-language-models/)
2213. [**Language Models can Solve Computer Tasks**Geunwoo Kim, Pierre Baldi, Stephen McAleer*2023 · 239 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-language-models-solve-computer-tasks/)
2214. [**RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment**Hanze Dong, Wei Xiong, Deepanshu Goyal, et al.*2023 · 239 citations*](https://md.research.elamur.ai/free/en/papers/dong-2023-raft-reward-ranked-finetuning-generative/)
2215. [**ASQA: Factoid Questions Meet Long-Form Answers**Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.*2022 · 239 citations*](https://md.research.elamur.ai/free/en/papers/stelmakh-2022-asqa-factoid-questions-meet-long/)
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