---
title: "Arts and Humanities — papers, page 14 — Elamur Research"
description: "Arts and Humanities: 9,296 papers of the Elamur Research library · page 14 of 94 · 1226–1325, the most cited first — our summary of each…"
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# 🎭 Arts and Humanities

9,296 papers · page 14 of 94 · 1226–1325 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Languages and linguistics, history, philosophy, literature, religion, music and the arts.

## Papers (9,296)

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1226. [**Lattice-based Minimum Error Rate Training for Statistical Machine Translation**Wolfgang Macherey, Franz Och, Ignacio Thayer, et al.*2008 · 410 citations*](https://md.research.elamur.ai/free/en/papers/macherey-2008-lattice-based-minimum-error-rate/)
1227. [**Abstractive Document Summarization with a Graph-Based Attentional Neural Model**Jiwei Tan, Xiaojun Wan, Jianguo Xiao*2017 · 409 citations*](https://md.research.elamur.ai/free/en/papers/tan-2017-abstractive-document-summarization-graph-based/)
1228. [**Exploiting Source-side Monolingual Data in Neural Machine Translation**Jiajun Zhang, Chengqing Zong*2016 · 409 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2016-exploiting-source-side-monolingual-data/)
1229. [**BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains**Yanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.*2024 · 408 citations*](https://md.research.elamur.ai/free/en/papers/labrak-2024-biomistral-collection-open-source-pretrained/)
1230. [**MuRIL: Multilingual Representations for Indian Languages**Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, et al.*2021 · 408 citations*](https://md.research.elamur.ai/free/en/papers/khanuja-2021-muril-multilingual-representations-indian-languages/)
1231. [**Automatic Detection of Generated Text is Easiest when Humans are Fooled**Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, et al.*2019 · 408 citations*](https://md.research.elamur.ai/free/en/papers/ippolito-2019-automatic-detection-generated-text-easiest/)
1232. [**Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections**Dipanjan Das, Slav Petrov*2011 · 408 citations*](https://md.research.elamur.ai/free/en/papers/das-2011-unsupervised-part-speech-tagging-bilingual/)
1233. [**Using Syntax to Disambiguate Explicit Discourse Connectives in Text**Emily Pitler, Ani Nenkova*2009 · 408 citations*](https://md.research.elamur.ai/free/en/papers/pitler-2009-syntax-disambiguate-explicit-discourse-connectives/)
1234. [**An Annotation Scheme for Free Word Order Languages**Wojciech Skut, Brigitte Krenn, Thorsten Brants, et al.*1997 · 408 citations*](https://md.research.elamur.ai/free/en/papers/skut-1997-annotation-scheme-free-word-order/)
1235. [**Generating Sentences by Editing Prototypes**Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al.*2017 · 407 citations*](https://md.research.elamur.ai/free/en/papers/guu-2017-generating-sentences-editing-prototypes/)
1236. [**Using Document Level Cross-Event Inference to Improve Event Extraction**Shasha Liao, Ralph Grishman*2010 · 407 citations*](https://md.research.elamur.ai/free/en/papers/liao-2010-document-level-cross-event-inference/)
1237. [**A Corpus-based Investigation of Definite Description Use**Massimo Poesio, Renata Vieira*1998 · 407 citations*](https://md.research.elamur.ai/free/en/papers/poesio-1998-corpus-based-investigation-definite-description/)
1238. [**UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 406 citations*](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/)
1239. [**AgentBench: Evaluating LLMs as Agents**Xiao Liu, Hao Yu, Hanchen Zhang, et al.*2023 · 405 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-agentbench-evaluating-llms-agents/)
1240. [**Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning**Mitchell Gordon, Kevin Duh, Nicholas Andrews*2020 · 405 citations*](https://md.research.elamur.ai/free/en/papers/gordon-2020-compressing-bert-studying-effects-weight/)
1241. [**Corpus Variation and Parser Performance**Daniel Gildea*2001 · 405 citations*](https://md.research.elamur.ai/free/en/papers/gildea-2001-corpus-variation-parser-performance/)
1242. [**Synchronous Tree-Adjoining Grammars**Stuart M. Shieber, Yves Schabes*1990 · 405 citations*](https://md.research.elamur.ai/free/en/papers/shieber-1990-synchronous-tree-adjoining-grammars/)
1243. [**The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale**Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.*2024 · 404 citations*](https://md.research.elamur.ai/free/en/papers/penedo-2024-fineweb-datasets-decanting-web-finest/)
1244. [**Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis**Chaoyou Fu, Yuhan Dai, Yongdong Luo, et al.*2024 · 404 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-video-mme-first-ever-comprehensive/)
1245. [**True Few-Shot Learning with Language Models**Ethan Perez, Douwe Kiela, Kyunghyun Cho*2021 · 404 citations*](https://md.research.elamur.ai/free/en/papers/perez-2021-true-few-shot-learning-language/)
1246. [**How to Fine-Tune BERT for Text Classification?**Chi Sun, Xipeng Qiu, Yige Xu, et al.*2019 · 404 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-fine-tune-bert-text-classification/)
1247. [**Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering**Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al.*2023 · 403 citations*](https://md.research.elamur.ai/free/en/papers/siriwardhana-2023-improving-domain-adaptation-retrieval-augmented/)
1248. [**Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems**Andrea Madotto, Chien-Sheng Wu, Pascale Fung*2018 · 403 citations*](https://md.research.elamur.ai/free/en/papers/madotto-2018-mem2seq-effectively-incorporating-knowledge-bases/)
1249. [**Annotating Argument Components and Relations in Persuasive Essays**Christian Stab, Iryna Gurevych*2014 · 403 citations*](https://md.research.elamur.ai/free/en/papers/stab-2014-annotating-argument-components-relations-persuasive/)
1250. [**Nested Named Entity Recognition**Jenny Rose Finkel, Christopher D. Manning*2009 · 403 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2009-nested-named-entity-recognition/)
1251. [**Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis**Yejin Choi, Claire Cardie*2008 · 403 citations*](https://md.research.elamur.ai/free/en/papers/choi-2008-learning-compositional-semantics-as-structural/)
1252. [**Characterizing the Errors of Data-Driven Dependency Parsing Models**Ryan McDonald, Joakim Nivre*2007 · 403 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2007-characterizing-errors-data-driven-dependency/)
1253. [**A Smorgasbord of Features for Statistical Machine Translation**Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, et al.*2004 · 403 citations*](https://md.research.elamur.ai/free/en/papers/och-2004-smorgasbord-features-statistical-machine-translation/)
1254. [**Yi: Open Foundation Models by 01.AI**Alex Young, Bei Chen, Chao Li, et al.*2024 · 402 citations*](https://md.research.elamur.ai/free/en/papers/ai-2024-yi-open-foundation-models-01/)
1255. [**Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs**Miguel Ballesteros, Chris Dyer, Noah A. Smith*2015 · 402 citations*](https://md.research.elamur.ai/free/en/papers/ballesteros-2015-improved-transition-based-parsing-modeling/)
1256. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
1257. [**Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder**Thanh-Le Ha, Jan Niehues, Alex Waibel*2016 · 401 citations*](https://md.research.elamur.ai/free/en/papers/ha-2016-multilingual-neural-machine-translation-universal/)
1258. [**A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios**Michael A. Hedderich, Lukas Lange, Heike Adel, et al.*2021 · 400 citations*](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/)
1259. [**DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts**Alisa Liu, Maarten Sap, Ximing Lu, et al.*2021 · 400 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-dexperts-decoding-time-controlled-text/)
1260. [**QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization**Ming Zhong, Da Yin, Tao Yu, et al.*2021 · 400 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/)
1261. [**Neural Architectures for Nested NER through Linearization**Jana Straková, Milan Straka, Jan Hajic*2019 · 400 citations*](https://md.research.elamur.ai/free/en/papers/strakova-2019-neural-architectures-nested-ner-through/)
1262. [**Massively Multilingual Word Embeddings**Waleed Ammar, George Mulcaire, Yulia Tsvetkov, et al.*2016 · 400 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2016-massively-multilingual-word-embeddings/)
1263. [**MEAD - A Platform for Multidocument Multilingual Text Summarization**Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, et al.*2004 · 400 citations*](https://md.research.elamur.ai/free/en/papers/radev-2004-mead-platform-multidocument-multilingual-text/)
1264. [**FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU**Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.*2023 · 399 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-flexgen-high-throughput-generative-inference/)
1265. [**LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models**Zhiqiang Hu, Lei Wang, Yihuai Lan, et al.*2023 · 399 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-llm-adapters-adapter-family-parameter/)
1266. [**Long Range Arena: A Benchmark for Efficient Transformers**Yi Tay, Mostafa Dehghani, Samira Abnar, et al.*2020 · 399 citations*](https://md.research.elamur.ai/free/en/papers/tay-2020-long-range-arena-benchmark-efficient/)
1267. [**DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction**Mohammadreza Pourreza, Davood Rafiei*2023 · 398 citations*](https://md.research.elamur.ai/free/en/papers/pourreza-2023-din-sql-decomposed-context-learning/)
1268. [**Do Prompt-Based Models Really Understand the Meaning of Their Prompts?**Albert Webson, Ellie Pavlick*2022 · 398 citations*](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/)
1269. [**FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech**Alexis Conneau, Min Ma, Simran Khanuja, et al.*2022 · 398 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2022-fleurs-few-shot-learning-evaluation/)
1270. [**LongT5: Efficient Text-To-Text Transformer for Long Sequences**Mandy Guo, Joshua Ainslie, David Uthus, et al.*2022 · 398 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-longt5-efficient-text-text-transformer/)
1271. [**Construction of the Literature Graph in Semantic Scholar**Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.*2018 · 398 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2018-construction-literature-graph-semantic-scholar/)
1272. [**On the Limitations of Unsupervised Bilingual Dictionary Induction**Anders Søgaard, Sebastian Ruder, Ivan Vulić*2018 · 398 citations*](https://md.research.elamur.ai/free/en/papers/sogaard-2018-limitations-unsupervised-bilingual-dictionary-induction/)
1273. [**UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems**Lushan Han, Abhay L. Kashyap, Tim Finin, et al.*2013 · 398 citations*](https://md.research.elamur.ai/free/en/papers/han-2013-umbc-ebiquity-core-semantic-textual/)
1274. [**Mixture-Model Adaptation for SMT**George Foster, Roland Kuhn*2007 · 398 citations*](https://md.research.elamur.ai/free/en/papers/foster-2007-mixture-model-adaptation-smt/)
1275. [**Automatic Prompt Optimization with “Gradient Descent” and Beam Search**Reid Pryzant, Dan Iter, Jerry Li, et al.*2023 · 397 citations*](https://md.research.elamur.ai/free/en/papers/pryzant-2023-automatic-prompt-optimization-gradient-descent/)
1276. [**TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance**Fengbin Zhu, Wenqiang Lei, Youcheng Huang, et al.*2021 · 397 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-tat-qa-question-answering-benchmark/)
1277. [**Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification**Hao Tang, Donghong Ji, Chenliang Li, et al.*2020 · 397 citations*](https://md.research.elamur.ai/free/en/papers/tang-2020-dependency-graph-enhanced-dual-transformer/)
1278. [**LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning**Jian Liu, Leyang Cui, Hanmeng Liu, et al.*2020 · 397 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-logiqa-challenge-dataset-machine-reading/)
1279. [**Disentangled Representation Learning for Non-Parallel Text Style Transfer**Vineet John, Lili Mou, Hareesh Bahuleyan, et al.*2019 · 397 citations*](https://md.research.elamur.ai/free/en/papers/john-2019-disentangled-representation-learning-non-parallel/)
1280. [**Large Language Models Cannot Self-Correct Reasoning Yet**Jie Huang, Xinyun Chen, Swaroop Mishra, et al.*2023 · 396 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-cannot-self/)
1281. [**A Unified Generative Framework for Aspect-based Sentiment Analysis**Hang Yan, Junqi Dai, Tuo Ji, et al.*2021 · 396 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/)
1282. [**Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques**Stefan Riezler, Tracy H. King, Ronald M. Kaplan, et al.*2002 · 396 citations*](https://md.research.elamur.ai/free/en/papers/riezler-2002-parsing-wall-street-journal-lexical/)
1283. [**Okapi at TREC-3**Stephen E. Robertson, Steve Walker, Susan Jones, et al.*1994 · 396 citations*](https://md.research.elamur.ai/free/en/papers/robertson-1994-okapi-trec-3/)
1284. [**Using cognates to align sentences in bilingual corpora**Michel Simard, George F. Foster, Pierre Isabelle*1992 · 396 citations*](https://md.research.elamur.ai/free/en/papers/simard-1992-cognates-align-sentences-bilingual-corpora/)
1285. [**A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis**Qingnan Jiang, Lei Chen, Ruifeng Xu, et al.*2019 · 395 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2019-challenge-dataset-effective-models-aspect/)
1286. [**Gender Bias in Neural Natural Language Processing**Kaiji Lu, Piotr Mardziel, Fangjing Wu, et al.*2018 · 394 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-gender-bias-neural-natural-language/)
1287. [**URIEL and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors**Patrick Littell, David R. Mortensen, Ke Lin, et al.*2017 · 394 citations*](https://md.research.elamur.ai/free/en/papers/littell-2017-uriel-lang2vec-representing-languages-as/)
1288. [**Linguistic Models for Analyzing and Detecting Biased Language**Marta Recasens, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky*2013 · 394 citations*](https://md.research.elamur.ai/free/en/papers/recasens-2013-linguistic-models-analyzing-detecting-biased/)
1289. [**Literal and Metaphorical Sense Identification through Concrete and Abstract Context**Peter Turney, Yair Neuman, Dan Assaf, et al.*2011 · 394 citations*](https://md.research.elamur.ai/free/en/papers/turney-2011-literal-metaphorical-sense-identification-through/)
1290. [**Entity Disambiguation for Knowledge Base Population**Mark Dredze, Paul McNamee, Delip Rao, et al.*2010 · 394 citations*](https://md.research.elamur.ai/free/en/papers/dredze-2010-entity-disambiguation-knowledge-base-population/)
1291. [**Identifying Word Translations in Non-Parallel Texts**Reinhard Rapp*1995 · 394 citations*](https://md.research.elamur.ai/free/en/papers/rapp-1995-identifying-word-translations-non-parallel/)
1292. [**Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification**Xilun Chen, Yu Sun, Ben Athiwaratkun, et al.*2018 · 393 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-adversarial-deep-averaging-networks-cross/)
1293. [**Whose Opinions Do Language Models Reflect?**Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.*2023 · 392 citations*](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/)
1294. [**A Unified Generative Framework for Various NER Subtasks**Hang Yan, Tao Gui, Junqi Dai, et al.*2021 · 392 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/)
1295. [**Sentence Simplification by Monolingual Machine Translation**Sander Wubben, Antal van den Bosch, Emiel Krahmer*2012 · 392 citations*](https://md.research.elamur.ai/free/en/papers/wubben-2012-sentence-simplification-monolingual-machine-translation/)
1296. [**Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks**Rion Snow, Brendan O'Connor, Daniel Jurafsky, et al.*2008 · 392 citations*](https://md.research.elamur.ai/free/en/papers/snow-2008-cheap-fast-but-is-it/)
1297. [**The Parallel Grammar Project**Miriam Butt, Helge Dyvik, Tracy Holloway King, et al.*2002 · 392 citations*](https://md.research.elamur.ai/free/en/papers/butt-2002-parallel-grammar-project/)
1298. [**BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models**Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg*2021 · 391 citations*](https://md.research.elamur.ai/free/en/papers/ben-zaken-2021-bitfit-simple-parameter-efficient-fine/)
1299. [**Towards Emotional Support Dialog Systems**Siyang Liu, Chujie Zheng, Orianna Demasi, et al.*2021 · 391 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/)
1300. [**Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog**Sebastian Schuster, Sonal Gupta, Rushin Shah, et al.*2019 · 391 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-transfer-learning-multilingual/)
1301. [**DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning**Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, et al.*2018 · 391 citations*](https://md.research.elamur.ai/free/en/papers/popat-2018-declare-debunking-fake-news-false/)
1302. [**Tuning as Ranking**Mark Hopkins, Jonathan May*2011 · 391 citations*](https://md.research.elamur.ai/free/en/papers/hopkins-2011-tuning-as-ranking/)
1303. [**The Third International Chinese Language Processing Bakeoff: Word Segmentation and Named Entity Recognition**Gina-Anne Levow*2006 · 391 citations*](https://md.research.elamur.ai/free/en/papers/levow-2006-third-international-chinese-language-processing/)
1304. [**Large Language Models as Optimizers**Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.*2023 · 390 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-optimizers/)
1305. [**Inside-Outside Reestimation From Partially Bracketed Corpora**Fernando Pereira, Yves Schabes*1992 · 390 citations*](https://md.research.elamur.ai/free/en/papers/pereira-1992-inside-outside-reestimation-partially-bracketed/)
1306. [**BPE-Dropout: Simple and Effective Subword Regularization**Ivan Provilkov, Dmitrii Emelianenko, Elena Voita*2020 · 389 citations*](https://md.research.elamur.ai/free/en/papers/provilkov-2020-bpe-dropout-simple-effective-subword/)
1307. [**Combating Adversarial Misspellings with Robust Word Recognition**Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton*2019 · 389 citations*](https://md.research.elamur.ai/free/en/papers/pruthi-2019-combating-adversarial-misspellings-robust-word/)
1308. [**METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments**Alon Lavie, Abhaya Agarwal*2007 · 389 citations*](https://md.research.elamur.ai/free/en/papers/lavie-2007-meteor-automatic-metric-mt-evaluation/)
1309. [**Parsing the WSJ Using CCG and Log-Linear Models**Stephen Clark, James R. Curran*2004 · 388 citations*](https://md.research.elamur.ai/free/en/papers/clark-2004-parsing-wsj-ccg-log-linear/)
1310. [**WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents**Shunyu Yao, Howard Chen, John Yang, et al.*2022 · 387 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-webshop-towards-scalable-real-world/)
1311. [**Deep Semantic Role Labeling with Self-Attention**Zhixing Tan, Mingxuan Wang, Jun Xie, et al.*2017 · 387 citations*](https://md.research.elamur.ai/free/en/papers/tan-2017-deep-semantic-role-labeling-self/)
1312. [**Multi30K: Multilingual English-German Image Descriptions**Desmond Elliott, Stella Frank, Khalil Sima'an, et al.*2016 · 387 citations*](https://md.research.elamur.ai/free/en/papers/elliott-2016-multi30k-multilingual-english-german-image/)
1313. [**Immediate-Head Parsing for Language Models**Eugene Charniak*2001 · 387 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2001-immediate-head-parsing-language-models/)
1314. [**RULER: What's the Real Context Size of Your Long-Context Language Models?**Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.*2024 · 386 citations*](https://md.research.elamur.ai/free/en/papers/hsieh-2024-ruler-s-real-context-size/)
1315. [**Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics**Nitika Mathur, Timothy Baldwin, Trevor Cohn*2020 · 386 citations*](https://md.research.elamur.ai/free/en/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/)
1316. [**Beam Search Strategies for Neural Machine Translation**Markus Freitag, Yaser Al-Onaizan*2017 · 386 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2017-beam-search-strategies-neural-machine/)
1317. [**CMMLU: Measuring massive multitask language understanding in Chinese**Haonan Li, Yixuan Zhang, Fajri Koto, et al.*2023 · 385 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-cmmlu-measuring-massive-multitask-language/)
1318. [**Gender and Representation Bias in GPT-3 Generated Stories**Li Lucy, David Bamman*2021 · 385 citations*](https://md.research.elamur.ai/free/en/papers/lucy-2021-gender-representation-bias-gpt-3/)
1319. [**German's Next Language Model**Branden Chan, Stefan Schweter, Timo Möller*2020 · 385 citations*](https://md.research.elamur.ai/free/en/papers/chan-2020-german-s-next-language-model/)
1320. [**A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding**Libo Qin, Wanxiang Che, Yangming Li, et al.*2019 · 385 citations*](https://md.research.elamur.ai/free/en/papers/qin-2019-stack-propagation-framework-token-level/)
1321. [**Discourse-Aware Neural Extractive Text Summarization**Jiacheng Xu, Zhe Gan, Yu Cheng, et al.*2019 · 385 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/)
1322. [**Pooled Contextualized Embeddings for Named Entity Recognition**Alan Akbik, Tanja Bergmann, Roland Vollgraf*2019 · 385 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2019-pooled-contextualized-embeddings-named-entity/)
1323. [**Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms**Dinghan Shen, Guoyin Wang, Wenlin Wang, et al.*2018 · 385 citations*](https://md.research.elamur.ai/free/en/papers/shen-2018-baseline-needs-more-love-simple/)
1324. [**Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation**Lora M. Aroyo, Chris Welty*2015 · 385 citations*](https://md.research.elamur.ai/free/en/papers/aroyo-2015-truth-lie-crowd-truth-seven/)
1325. [**Automatic Extraction of Subcategorization from Corpora**Ted Briscoe, John Carroll*1997 · 385 citations*](https://md.research.elamur.ai/free/en/papers/briscoe-1997-automatic-extraction-subcategorization-corpora/)

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