---
title: "Artificial Intelligence — papers, page 22 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 22 of 90 · 2026–2125, the most cited first — our summary of each…"
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---
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# 🤖 Artificial Intelligence

8,885 papers · page 22 of 90 · 2026–2125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems».

## Papers (8,885)

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2026. [**Survey: Multiword Expression Processing: A Survey**Mathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.*2017 · 296 citations*](https://md.research.elamur.ai/free/en/papers/constant-2017-survey-multiword-expression-processing-survey/)
2027. [**Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection**Ruty Rinott, Lena Dankin, Carlos Alzate Perez, et al.*2015 · 296 citations*](https://md.research.elamur.ai/free/en/papers/rinott-2015-show-me-your-evidence-automatic/)
2028. [**Developing Age and Gender Predictive Lexica over Social Media**Maarten Sap, Gregory Park, Johannes Eichstaedt, et al.*2014 · 296 citations*](https://md.research.elamur.ai/free/en/papers/sap-2014-developing-age-gender-predictive-lexica/)
2029. [**Phrase Clustering for Discriminative Learning**Dekang Lin, Xiaoyun Wu*2009 · 296 citations*](https://md.research.elamur.ai/free/en/papers/lin-2009-phrase-clustering-discriminative-learning/)
2030. [**Pivot Language Approach for Phrase-Based Statistical Machine Translation**Hua Wu, Haifeng Wang*2007 · 296 citations*](https://md.research.elamur.ai/free/en/papers/wu-2007-pivot-language-approach-phrase-based/)
2031. [**Automatic Acquisition of Domain Knowledge for Information Extraction**Roman Yangarber, Ralph Grishman, Pasi Tapanainen, et al.*2000 · 296 citations*](https://md.research.elamur.ai/free/en/papers/yangarber-2000-automatic-acquisition-domain-knowledge-information/)
2032. [**AdapterDrop: On the Efficiency of Adapters in Transformers**Andreas Rücklé, Gregor Geigle, Max Glockner, et al.*2021 · 295 citations*](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/)
2033. [**Entity-Based Knowledge Conflicts in Question Answering**Shayne Longpre, Kartik Perisetla, Anthony Chen, et al.*2021 · 295 citations*](https://md.research.elamur.ai/free/en/papers/longpre-2021-entity-based-knowledge-conflicts-question/)
2034. [**SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization**Haoming Jiang, Pengcheng He, Weizhu Chen, et al.*2020 · 295 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2020-smart-robust-efficient-fine-tuning/)
2035. [**Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing**Tal Schuster, Ori Ram, Regina Barzilay, et al.*2019 · 295 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-alignment-contextual-word/)
2036. [**Learning Joint Multilingual Sentence Representations with Neural Machine Translation**Holger Schwenk, Matthijs Douze*2017 · 295 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2017-learning-joint-multilingual-sentence-representations/)
2037. [**Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement**Hua He, Jimmy Lin*2016 · 295 citations*](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/)
2038. [**Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger**Massimiliano Ciaramita, Yasemin Altun*2006 · 295 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2006-broad-coverage-sense-disambiguation-information/)
2039. [**Re-evaluating the Role of Bleu in Machine Translation Research**Chris Callison-Burch, Miles Osborne, Philipp Koehn*2006 · 295 citations*](https://md.research.elamur.ai/free/en/papers/burch-2006-re-evaluating-role-bleu-machine/)
2040. [**Combining Distributional and Morphological Information for Part of Speech Induction**Alexander Clark*2003 · 295 citations*](https://md.research.elamur.ai/free/en/papers/clark-2003-combining-distributional-morphological-information-part/)
2041. [**Evaluating Verifiability in Generative Search Engines**Nelson Liu, Tianyi Zhang, Percy Liang*2023 · 294 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-verifiability-generative-search-engines/)
2042. [**A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature**Benjamin Nye, Junyi Jessy Li, Roma Patel, et al.*2018 · 294 citations*](https://md.research.elamur.ai/free/en/papers/nye-2018-corpus-multi-level-annotations-patients/)
2043. [**Predictive power of word surprisal for reading times is a linear function of language model quality**Adam Goodkind, Klinton Bicknell*2018 · 294 citations*](https://md.research.elamur.ai/free/en/papers/goodkind-2018-predictive-power-word-surprisal-reading/)
2044. [**KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization**Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, et al.*2024 · 293 citations*](https://md.research.elamur.ai/free/en/papers/hooper-2024-kvquant-towards-10-million-context/)
2045. [**Prompting Large Language Model for Machine Translation: A Case Study**Biao Zhang, Barry Haddow, Alexandra Birch*2023 · 293 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-prompting-large-language-model-machine/)
2046. [**Information-Theoretic Probing for Linguistic Structure**Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, et al.*2020 · 293 citations*](https://md.research.elamur.ai/free/en/papers/pimentel-2020-information-theoretic-probing-linguistic-structure/)
2047. [**Easy Victories and Uphill Battles in Coreference Resolution**Greg Durrett, Dan Klein*2013 · 293 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2013-easy-victories-uphill-battles-coreference/)
2048. [**Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines**Joakim Nivre, Johan Hall, Jens Nilsson, et al.*2006 · 293 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2006-labeled-pseudo-projective-dependency-parsing/)
2049. [**Improvements in Automatic Thesaurus Extraction**James R. Curran, Marc Moens*2002 · 293 citations*](https://md.research.elamur.ai/free/en/papers/curran-2002-improvements-automatic-thesaurus-extraction/)
2050. [**The Necessity of Parsing for Predicate Argument Recognition**Daniel Gildea, Martha Palmer*2002 · 293 citations*](https://md.research.elamur.ai/free/en/papers/gildea-2002-necessity-parsing-predicate-argument-recognition/)
2051. [**Text Classification via Large Language Models**Xiaofei Sun, Xiaoya Li, Jiwei Li, et al.*2023 · 292 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-text-classification-large-language-models/)
2052. [**Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little**Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.*2021 · 292 citations*](https://md.research.elamur.ai/free/en/papers/sinha-2021-masked-language-modeling-distributional-hypothesis/)
2053. [**A Survey of the State of Explainable AI for Natural Language Processing**Marina Danilevsky, Kun Qian, Ranit Aharonov, et al.*2020 · 292 citations*](https://md.research.elamur.ai/free/en/papers/danilevsky-2020-survey-state-explainable-ai-natural/)
2054. [**A Benchmark Dataset for Learning to Intervene in Online Hate Speech**Jing Qian, Anna Bethke, Yinyin Liu, et al.*2019 · 292 citations*](https://md.research.elamur.ai/free/en/papers/qian-2019-benchmark-dataset-learning-intervene-online/)
2055. [**Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack**Emily Dinan, Samuel Humeau, Bharath Chintagunta, et al.*2019 · 292 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2019-build-it-break-it-fix/)
2056. [**Black Holes and White Rabbits: Metaphor Identification with Visual Features**Ekaterina Shutova, Douwe Kiela, Jean Maillard*2016 · 292 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2016-black-holes-white-rabbits-metaphor/)
2057. [**CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning**Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.*2022 · 291 citations*](https://md.research.elamur.ai/free/en/papers/le-2022-coderl-mastering-code-generation-through/)
2058. [**Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning**Yi Yang, Arzoo Katiyar*2020 · 291 citations*](https://md.research.elamur.ai/free/en/papers/yang-2020-simple-effective-few-shot-named/)
2059. [**Neural language models as psycholinguistic subjects: Representations of syntactic state**Richard Futrell, Ethan Wilcox, Takashi Morita, et al.*2019 · 291 citations*](https://md.research.elamur.ai/free/en/papers/futrell-2019-neural-language-models-as-psycholinguistic/)
2060. [**Diverse Few-Shot Text Classification with Multiple Metrics**Mo Yu, Xiaoxiao Guo, Jinfeng Yi, et al.*2018 · 291 citations*](https://md.research.elamur.ai/free/en/papers/yu-2018-diverse-few-shot-text-classification/)
2061. [**Exploiting Cross-Sentence Context for Neural Machine Translation**Longyue Wang, Zhaopeng Tu, Andy Way, et al.*2017 · 291 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-exploiting-cross-sentence-context-neural/)
2062. [**Statistical Machine Translation for Query Expansion in Answer Retrieval**Stefan Riezler, Alexander Vasserman, Ioannis Tsochantaridis, et al.*2007 · 291 citations*](https://md.research.elamur.ai/free/en/papers/riezler-2007-statistical-machine-translation-query-expansion/)
2063. [**The Distributional Inclusion Hypotheses and Lexical Entailment**Maayan Geffet, Ido Dagan*2005 · 291 citations*](https://md.research.elamur.ai/free/en/papers/geffet-2005-distributional-inclusion-hypotheses-lexical-entailment/)
2064. [**Can language models learn from explanations in context?**Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.*2022 · 290 citations*](https://md.research.elamur.ai/free/en/papers/lampinen-2022-can-language-models-learn-explanations/)
2065. [**Challenges and Strategies in Cross-Cultural NLP**Daniel Hershcovich, Stella Frank, Heather Lent, et al.*2022 · 290 citations*](https://md.research.elamur.ai/free/en/papers/hershcovich-2022-challenges-strategies-cross-cultural-nlp/)
2066. [**HAT: Hardware-Aware Transformers for Efficient Natural Language Processing**Hanrui Wang, Zhanghao Wu, Zhijian Liu, et al.*2020 · 290 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-hat-hardware-aware-transformers-efficient/)
2067. [**SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours**Genevieve Gorrell, Elena Kochkina, Maria Liakata, et al.*2019 · 290 citations*](https://md.research.elamur.ai/free/en/papers/gorrell-2019-semeval-2019-task-7-rumoureval/)
2068. [**Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings**Han-Chin Shing, Suraj Nair, Ayah Zirikly, et al.*2018 · 290 citations*](https://md.research.elamur.ai/free/en/papers/shing-2018-expert-crowdsourced-machine-assessment-suicide/)
2069. [**SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation**Xinyi Wang, Hieu Pham, Zihang Dai, et al.*2018 · 290 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-switchout-efficient-data-augmentation-algorithm/)
2070. [**Emotion Intensities in Tweets**Saif Mohammad, Felipe Bravo-Marquez*2017 · 290 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-emotion-intensities-tweets/)
2071. [**Detecting Sarcasm in Multimodal Social Platforms**Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al.*2016 · 290 citations*](https://md.research.elamur.ai/free/en/papers/schifanella-2016-detecting-sarcasm-multimodal-social-platforms/)
2072. [**Modeling Biological Processes for Reading Comprehension**Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, et al.*2014 · 290 citations*](https://md.research.elamur.ai/free/en/papers/berant-2014-modeling-biological-processes-reading-comprehension/)
2073. [**Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence**Tal Schuster, Adam Fisch, Regina Barzilay*2021 · 289 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2021-get-your-vitamin-c-robust/)
2074. [**CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing**Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al.*2020 · 289 citations*](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/)
2075. [**Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills**Eric Michael Smith, Mary Williamson, Kurt Shuster, et al.*2020 · 289 citations*](https://md.research.elamur.ai/free/en/papers/smith-2020-can-you-put-it-all/)
2076. [**Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling**Zhifang Fan, Zhen Wu, Xin-Yu Dai, et al.*2019 · 289 citations*](https://md.research.elamur.ai/free/en/papers/fan-2019-target-oriented-opinion-words-extraction/)
2077. [**SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals**Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, et al.*2010 · 289 citations*](https://md.research.elamur.ai/free/en/papers/hendrickx-2010-semeval-2010-task-8-multi/)
2078. [**Methods for Using Textual Entailment in Open-Domain Question Answering**Sanda Harabagiu, Andrew Hickl*2006 · 289 citations*](https://md.research.elamur.ai/free/en/papers/harabagiu-2006-methods-textual-entailment-open-domain/)
2079. [**Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences**Bo Pang, Kevin Knight, Daniel Marcu*2003 · 289 citations*](https://md.research.elamur.ai/free/en/papers/pang-2003-syntax-based-alignment-multiple-translations/)
2080. [**An Algorithm for Finding Noun Phrase Correspondences in Bilingual Corpora**Julian Kupiec*1993 · 289 citations*](https://md.research.elamur.ai/free/en/papers/kupiec-1993-algorithm-finding-noun-phrase-correspondences/)
2081. [**MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning**Xiang Yue, Xingwei Qu, Ge Zhang, et al.*2023 · 288 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/)
2082. [**On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes**Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.*2023 · 288 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-policy-distillation-language-models-learning/)
2083. [**QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization**Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.*2022 · 288 citations*](https://md.research.elamur.ai/free/en/papers/fabbri-2022-qafacteval-improved-qa-based-factual/)
2084. [**GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification**Jie Zhou, Xu Han, Cheng Yang, et al.*2019 · 288 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2019-gear-graph-based-evidence-aggregating/)
2085. [**Structural Scaffolds for Citation Intent Classification in Scientific Publications**Arman Cohan, Waleed Ammar, Madeleine van Zuylen, et al.*2019 · 288 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2019-structural-scaffolds-citation-intent-classification/)
2086. [**emrQA: A Large Corpus for Question Answering on Electronic Medical Records**Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.*2018 · 288 citations*](https://md.research.elamur.ai/free/en/papers/pampari-2018-emrqa-large-corpus-question-answering/)
2087. [**Learning to Translate in Real-time with Neural Machine Translation**Jiatao Gu, Graham Neubig, Kyunghyun Cho, et al.*2017 · 288 citations*](https://md.research.elamur.ai/free/en/papers/gu-2017-learning-translate-real-time-neural/)
2088. [**The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content**Omar F. Zaidan, Chris Callison-Burch*2011 · 288 citations*](https://md.research.elamur.ai/free/en/papers/zaidan-2011-arabic-online-commentary-dataset-annotated/)
2089. [**Translating Named Entities Using Monolingual and Bilingual Resources**Yaser Al-Onaizan, Kevin Knight*2002 · 288 citations*](https://md.research.elamur.ai/free/en/papers/onaizan-2002-translating-named-entities-monolingual-bilingual/)
2090. [**An Efficient Method for Determining Bilingual Word Classes**Franz Josef Och*1999 · 288 citations*](https://md.research.elamur.ai/free/en/papers/och-1999-efficient-method-determining-bilingual-word/)
2091. [**Automatic Identification of Non-compositional Phrases**Dekang Lin*1999 · 288 citations*](https://md.research.elamur.ai/free/en/papers/lin-1999-automatic-identification-non-compositional-phrases/)
2092. [**Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language**Andy Zeng, Maria Attarian, Brian Ichter, et al.*2022 · 287 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-socratic-models-composing-zero-shot/)
2093. [**Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**Jue Wang, Wei Lu*2020 · 287 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-two-are-better-than-one/)
2094. [**Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification**Minghao Hu, Yuxing Peng, Zhen Huang, et al.*2019 · 287 citations*](https://md.research.elamur.ai/free/en/papers/hu-2019-open-domain-targeted-sentiment-analysis/)
2095. [**Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation**Toan Q. Nguyen, David Chiang*2017 · 287 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2017-transfer-learning-across-low-resource/)
2096. [**Computational Sociolinguistics: A Survey**Dong Nguyen, A. Seza Doğruöz, Carolyn P. Rosé, et al.*2016 · 287 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2016-computational-sociolinguistics-survey/)
2097. [**Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task**Shervin Malmasi, Marcos Zampieri, Nikola Ljubešić, et al.*2016 · 287 citations*](https://md.research.elamur.ai/free/en/papers/malmasi-2016-discriminating-between-similar-languages/)
2098. [**Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition**Timothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al.*2015 · 287 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2015-shared-tasks-2015-workshop-noisy/)
2099. [**Learning Grounded Meaning Representations with Autoencoders**Carina Silberer, Mirella Lapata*2014 · 287 citations*](https://md.research.elamur.ai/free/en/papers/silberer-2014-learning-grounded-meaning-representations-autoencoders/)
2100. [**Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca**Yiming Cui, Ziqing Yang, Xin Yao*2023 · 286 citations*](https://md.research.elamur.ai/free/en/papers/cui-2023-efficient-effective-text-encoding-chinese/)
2101. [**PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them**Patrick Lewis, Yuxiang Wu, Linqing Liu, et al.*2021 · 286 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2021-paq-65-million-probably-asked/)
2102. [**Text Generation from Knowledge Graphs with Graph Transformers**Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, et al.*2019 · 286 citations*](https://md.research.elamur.ai/free/en/papers/kedziorski-2019-text-generation-knowledge-graphs-graph/)
2103. [**Machine Translation of Arabic Dialects**Rabih Zbib, Erika Malchiodi, Jacob Devlin, et al.*2012 · 286 citations*](https://md.research.elamur.ai/free/en/papers/zbib-2012-machine-translation-arabic-dialects/)
2104. [**Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars**Yuan Ding, Martha Palmer*2005 · 286 citations*](https://md.research.elamur.ai/free/en/papers/ding-2005-machine-translation-probabilistic-synchronous-dependency/)
2105. [**The First International Chinese Word Segmentation Bakeoff**Richard Sproat, Thomas Emerson*2003 · 286 citations*](https://md.research.elamur.ai/free/en/papers/sproat-2003-first-international-chinese-word-segmentation/)
2106. [**A Statistical Approach to Anaphora Resolution**Niyu Ge, John Hale, Eugene Charniak*1998 · 286 citations*](https://md.research.elamur.ai/free/en/papers/ge-1998-statistical-approach-anaphora-resolution/)
2107. [**ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning**Weihao Yu, Zihang Jiang, Yanfei Dong, et al.*2020 · 285 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-reclor-reading-comprehension-dataset-requiring/)
2108. [**PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification**Yinfei Yang, Yuan Zhang, Chris Tar, et al.*2019 · 285 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-paws-x-cross-lingual-adversarial/)
2109. [**Learning to Paraphrase for Question Answering**Li Dong, Jonathan Mallinson, Siva Reddy, et al.*2017 · 285 citations*](https://md.research.elamur.ai/free/en/papers/dong-2017-learning-paraphrase-question-answering/)
2110. [**A Bayesian Mixed Effects Model of Literary Character**David Bamman, Ted Underwood, Noah A. Smith*2014 · 285 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2014-bayesian-mixed-effects-model-literary/)
2111. [**USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation**Shikib Mehri, Maxine Eskenazi*2020 · 284 citations*](https://md.research.elamur.ai/free/en/papers/mehri-2020-usr-unsupervised-reference-free-evaluation/)
2112. [**Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges**Qingsong Ma, Johnny Wei, Ondřej Bojar, et al.*2019 · 284 citations*](https://md.research.elamur.ai/free/en/papers/ma-2019-results-wmt19-metrics-shared-task/)
2113. [**Constructing Datasets for Multi-hop Reading Comprehension Across Documents**Johannes Welbl, Pontus Stenetorp, Sebastian Riedel*2018 · 284 citations*](https://md.research.elamur.ai/free/en/papers/welbl-2018-constructing-datasets-multi-hop-reading/)
2114. [**Ranking Sentences for Extractive Summarization with Reinforcement Learning**Shashi Narayan, Shay B. Cohen, Mirella Lapata*2018 · 284 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2018-ranking-sentences-extractive-summarization-reinforcement/)
2115. [**Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation**Sameer Pradhan, Xiaoqiang Luo, Marta Recasens, et al.*2014 · 284 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2014-scoring-coreference-partitions-predicted-mentions/)
2116. [**Lexical Generalization in CCG Grammar Induction for Semantic Parsing**Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, et al.*2011 · 284 citations*](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2011-lexical-generalization-ccg-grammar-induction/)
2117. [**Improvements in Phrase-Based Statistical Machine Translation**Richard Zens, Hermann Ney*2004 · 284 citations*](https://md.research.elamur.ai/free/en/papers/zens-2004-improvements-phrase-based-statistical-machine/)
2118. [**Spelling Error Correction with Soft-Masked BERT**Shaohua Zhang, Haoran Huang, Jicong Liu, et al.*2020 · 283 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-spelling-error-correction-soft-masked/)
2119. [**Large-Scale Multi-Label Text Classification on EU Legislation**Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, et al.*2019 · 283 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-large-scale-multi-label-text/)
2120. [**Diachronic word embeddings and semantic shifts: a survey**Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al.*2018 · 283 citations*](https://md.research.elamur.ai/free/en/papers/kutuzov-2018-diachronic-word-embeddings-semantic-shifts/)
2121. [**Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling**Luheng He, Kenton Lee, Omer Levy, et al.*2018 · 283 citations*](https://md.research.elamur.ai/free/en/papers/he-2018-jointly-predicting-predicates-arguments-neural/)
2122. [**Large Language Model based Multi-Agents: A Survey of Progress and Challenges**Taicheng Guo, Xiuying Chen, Yaqi Wang, et al.*2024 · 282 citations*](https://md.research.elamur.ai/free/en/papers/guo-2024-large-language-model-based/)
2123. [**API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs**Minghao Li, Yingxiu Zhao, Bowen Yu, et al.*2023 · 282 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-api-bank-comprehensive-benchmark-tool/)
2124. [**HuatuoGPT, Towards Taming Language Model to Be a Doctor**Hongbo Zhang, Junying Chen, Feng Jiang, et al.*2023 · 282 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-huatuogpt-taming-language-model-be/)
2125. [**Is ChatGPT a Good NLG Evaluator? A Preliminary Study**Jiaan Wang, Yunlong Liang, Fandong Meng, et al.*2023 · 282 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-chatgpt-good-nlg-evaluator-preliminary/)

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