---
title: "Arts and Humanities — papers, page 18 — Elamur Research"
description: "Arts and Humanities: 9,296 papers of the Elamur Research library · page 18 of 94 · 1626–1725, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/arts-and-humanities/page/18/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/arts-and-humanities/page/18/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) / page 18

# 🎭 Arts and Humanities

9,296 papers · page 18 of 94 · 1626–1725 · 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)

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/17/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) … [10](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/10/) … [17](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/17/) **18** [19](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/19/) [20](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/20/) … [94](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/94/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/19/)

1626. [**MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims**Isabelle Augenstein, Christina Lioma, Dongsheng Wang, et al.*2019 · 319 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2019-multifc-real-world-multi-domain/)
1627. [**Improving Hypernymy Detection with an Integrated Path-based and Distributional Method**Vered Shwartz, Yoav Goldberg, Ido Dagan*2016 · 319 citations*](https://md.research.elamur.ai/free/en/papers/shwartz-2016-improving-hypernymy-detection-integrated-path/)
1628. [**SemEval-2016 Task 3: Community Question Answering**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, et al.*2016 · 319 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/)
1629. [**SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity**Daniela Gerz, Ivan Vulić, Felix Hill, et al.*2016 · 319 citations*](https://md.research.elamur.ai/free/en/papers/gerz-2016-simverb-3500-large-scale-evaluation/)
1630. [**A Neural Network Approach to Context-Sensitive Generation of Conversational Responses**Alessandro Sordoni, Michel Galley, Michael Auli, et al.*2015 · 319 citations*](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/)
1631. [**Entailment above the word level in distributional semantics**Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, et al.*2012 · 319 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2012-entailment-above-word-level-distributional/)
1632. [**An Empirical Model of Multiword Expression Decomposability**Timothy Baldwin, Colin Bannard, Takaaki Tanaka, et al.*2003 · 319 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2003-empirical-model-multiword-expression-decomposability/)
1633. [**MM-LLMs: Recent Advances in MultiModal Large Language Models**Duzhen Zhang, Yahan Yu, Jiahua Dong, et al.*2024 · 318 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-mm-llms-recent-advances-multimodal/)
1634. [**Document Expansion by Query Prediction**Rodrigo Nogueira, Wei Yang, Jimmy Lin, et al.*2019 · 318 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2019-document-expansion-query-prediction/)
1635. [**Distant Supervision for Relation Extraction beyond the Sentence Boundary**Chris Quirk, Hoifung Poon*2017 · 318 citations*](https://md.research.elamur.ai/free/en/papers/quirk-2017-distant-supervision-relation-extraction-beyond/)
1636. [**Unsupervised Pretraining for Sequence to Sequence Learning**Prajit Ramachandran, Peter Liu, Quoc Le*2017 · 318 citations*](https://md.research.elamur.ai/free/en/papers/ramachandran-2017-unsupervised-pretraining-sequence-sequence-learning/)
1637. [**N-gram-based Machine Translation**José Mariño, Rafael E. Banchs, Josep M. Crego, et al.*2006 · 318 citations*](https://md.research.elamur.ai/free/en/papers/marino-2006-n-gram-based-machine-translation/)
1638. [**On Some Pitfalls in Automatic Evaluation and Significance Testing for MT**Stefan Riezler, John T. Maxwell*2005 · 318 citations*](https://md.research.elamur.ai/free/en/papers/riezler-2005-some-pitfalls-automatic-evaluation-significance/)
1639. [**A Graph Model for Unsupervised Lexical Acquisition**Dominic Widdows, Beate Dorow*2002 · 318 citations*](https://md.research.elamur.ai/free/en/papers/widdows-2002-graph-model-unsupervised-lexical-acquisition/)
1640. [**Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models**Chenfei Wu, Shengming Yin, Weizhen Qi, et al.*2023 · 317 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-visual-chatgpt-talking-drawing-editing/)
1641. [**Generating Wikipedia by Summarizing Long Sequences**Peter J. Liu, Mohammad Saleh, Etienne Pot, et al.*2018 · 317 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-generating-wikipedia-summarizing-long-sequences/)
1642. [**Joint Extraction of Events and Entities within a Document Context**Bishan Yang, Tom M. Mitchell*2016 · 317 citations*](https://md.research.elamur.ai/free/en/papers/yang-2016-joint-extraction-events-entities-within/)
1643. [**A massively parallel corpus: the Bible in 100 languages**Christos Christodouloupoulos, Mark J. Steedman*2014 · 317 citations*](https://md.research.elamur.ai/free/en/papers/christodouloupoulos-2014-massively-parallel-corpus-bible-100/)
1644. [**Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data**Leon Derczynski, Alan Ritter, Sam Clark, et al.*2013 · 317 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2013-twitter-part-speech-tagging-all/)
1645. [**Deterministic Dependency Parsing of English Text**Joakim Nivre, Mario Scholz*2004 · 317 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2004-deterministic-dependency-parsing-english-text/)
1646. [**How many data points is a prompt worth?**Teven Le Scao, Alexander Rush*2021 · 316 citations*](https://md.research.elamur.ai/free/en/papers/scao-2021-how-many-data-points-is/)
1647. [**CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Jan Hajič, Martin Popel, et al.*2018 · 316 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2018-conll-2018-shared-task-multilingual/)
1648. [**An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation**Chenhui Chu, Raj Dabre, Sadao Kurohashi*2017 · 316 citations*](https://md.research.elamur.ai/free/en/papers/chu-2017-empirical-comparison-domain-adaptation-methods/)
1649. [**Multi-task Sequence to Sequence Learning**Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.*2015 · 316 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-multi-task-sequence-sequence-learning/)
1650. [**Decoding with Large-Scale Neural Language Models Improves Translation**Ashish Vaswani, Yinggong Zhao, Victoria Fossum, et al.*2013 · 316 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2013-decoding-large-scale-neural-language/)
1651. [**Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data**Yoshimasa Tsuruoka, Jun'ichi Tsujii*2005 · 316 citations*](https://md.research.elamur.ai/free/en/papers/tsuruoka-2005-bidirectional-inference-easiest-first-strategy/)
1652. [**LightRAG: Simple and Fast Retrieval-Augmented Generation**Zirui Guo, Lianghao Xia, Yanhua Yu, et al.*2024 · 315 citations*](https://md.research.elamur.ai/free/en/papers/guo-2024-lightrag-simple-fast-retrieval-augmented/)
1653. [**CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing**Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.*2023 · 315 citations*](https://md.research.elamur.ai/free/en/papers/gou-2023-critic-large-language-models-self/)
1654. [**Joint Slot Filling and Intent Detection via Capsule Neural Networks**Chenwei Zhang, Yaliang Li, Nan Du, et al.*2019 · 315 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-joint-slot-filling-intent-detection/)
1655. [**Supervised Noun Phrase Coreference Research: The First Fifteen Years**Vincent Ng*2010 · 315 citations*](https://md.research.elamur.ai/free/en/papers/ng-2010-supervised-noun-phrase-coreference-research/)
1656. [**Anaphora and Discourse Structure**Bonnie Webber, Matthew Stone, Aravind Joshi, et al.*2003 · 315 citations*](https://md.research.elamur.ai/free/en/papers/webber-2003-anaphora-discourse-structure/)
1657. [**Mining the Web for Bilingual Text**Philip Resnik*1999 · 315 citations*](https://md.research.elamur.ai/free/en/papers/resnik-1999-mining-web-bilingual-text/)
1658. [**LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion**Dongfu Jiang, Xiang Ren, Bill Yuchen Lin*2023 · 314 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-llm-blender-ensembling-large-language/)
1659. [**WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation**Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.*2022 · 314 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-wanli-worker-ai-collaboration-natural/)
1660. [**Double Graph Based Reasoning for Document-level Relation Extraction**Shuang Zeng, Runxin Xu, Baobao Chang, et al.*2020 · 314 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2020-double-graph-based-reasoning-document/)
1661. [**Explainable Automated Fact-Checking for Public Health Claims**Neema Kotonya, Francesca Toni*2020 · 314 citations*](https://md.research.elamur.ai/free/en/papers/kotonya-2020-explainable-automated-fact-checking-public/)
1662. [**Choosing Transfer Languages for Cross-Lingual Learning**Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, et al.*2019 · 314 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-choosing-transfer-languages-cross-lingual/)
1663. [**Neural Natural Language Inference Models Enhanced with External Knowledge**Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, et al.*2018 · 314 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-neural-natural-language-inference-models/)
1664. [**Chinese Syntactic Reordering for Statistical Machine Translation**Chao Wang, Michael Collins, Philipp Koehn*2007 · 314 citations*](https://md.research.elamur.ai/free/en/papers/wang-2007-chinese-syntactic-reordering-statistical-machine/)
1665. [**Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models**Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.*2025 · 313 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-qwen3-embedding-advancing-text/)
1666. [**Faith and Fate: Limits of Transformers on Compositionality**Nouha Dziri, Ximing Lu, Melanie Sclar, et al.*2023 · 313 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2023-faith-fate-limits-transformers-compositionality/)
1667. [**Cross-Language Text Classification Using Structural Correspondence Learning**Peter Prettenhofer, Benno Stein*2010 · 313 citations*](https://md.research.elamur.ai/free/en/papers/prettenhofer-2010-cross-language-text-classification-structural/)
1668. [**Statistical Approaches to Computer-Assisted Translation**Sergio Barrachina, Oliver Bender, Francisco Casacuberta, et al.*2008 · 313 citations*](https://md.research.elamur.ai/free/en/papers/barrachina-2009-statistical-approaches-computer-assisted-translation/)
1669. [**HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal**Mantas Mazeika, Long Phan, Xuwang Yin, et al.*2024 · 312 citations*](https://md.research.elamur.ai/free/en/papers/mazeika-2024-harmbench-standardized-evaluation-framework-automated/)
1670. [**A Transformer-based approach to Irony and Sarcasm detection**Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis*2019 · 312 citations*](https://md.research.elamur.ai/free/en/papers/potamias-2019-transformer-based-approach-irony-sarcasm/)
1671. [**Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.**Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka*2016 · 312 citations*](https://md.research.elamur.ai/free/en/papers/gladkova-2016-analogy-based-detection-morphological-semantic/)
1672. [**Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling**Daichi Mochihashi, Takeshi Yamada, Naonori Ueda*2009 · 312 citations*](https://md.research.elamur.ai/free/en/papers/mochihashi-2009-bayesian-unsupervised-word-segmentation-nested/)
1673. [**A Lexicographer-Friendly Association Score**Pavel Rychlý*2008 · 312 citations*](https://md.research.elamur.ai/free/en/papers/rychly-2008-logdice/)
1674. [**Preemptive Information Extraction using Unrestricted Relation Discovery**Yusuke Shinyama, Satoshi Sekine*2006 · 312 citations*](https://md.research.elamur.ai/free/en/papers/shinyama-2006-preemptive-information-extraction-unrestricted-relation/)
1675. [**The Senseval-3 English lexical sample task**Rada Mihalcea, Timothy Chklovski, Adam Kilgarriff*2004 · 312 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2004-senseval-3-english-lexical-sample/)
1676. [**Fast Decoding and Optimal Decoding for Machine Translation**Ulrich Germann, Michael Jahr, Kevin Knight, et al.*2001 · 312 citations*](https://md.research.elamur.ai/free/en/papers/germann-2001-fast-decoding-optimal-decoding-machine/)
1677. [**Coping with Ambiguity and Unknown Words through Probabilistic Models**Ralph Weischedel, Marie Meteer, Richard Schwartz, et al.*1993 · 312 citations*](https://md.research.elamur.ai/free/en/papers/weischedel-1993-coping-ambiguity-unknown-words-through/)
1678. [**MEDITRON-70B: Scaling Medical Pretraining for Large Language Models**Zeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.*2023 · 311 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-meditron-70b-scaling-medical-pretraining/)
1679. [**Measuring the Evolution of a Scientific Field through Citation Frames**David Jurgens, Srijan Kumar, Raine Hoover, et al.*2018 · 311 citations*](https://md.research.elamur.ai/free/en/papers/jurgens-2018-measuring-evolution-scientific-field-through/)
1680. [**On Improving the Accuracy of Readability Classification using Insights from Second Language Acquisition**Sowmya Vajjala, Detmar Meurers*2012 · 311 citations*](https://md.research.elamur.ai/free/en/papers/vajjala-2012-improving-accuracy-readability-classification-insights/)
1681. [**Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles**Kenji Sagae, Jun'ichi Tsujii*2007 · 311 citations*](https://md.research.elamur.ai/free/en/papers/sagae-2007-dependency-parsing-domain-adaptation-lr/)
1682. [**Automatic Rule Induction for Unknown-Word Guessing**Andrei Mikheev*1997 · 311 citations*](https://md.research.elamur.ai/free/en/papers/mikheev-1997-automatic-rule-induction-unknown-word/)
1683. [**Gender Bias in Machine Translation**Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.*2021 · 310 citations*](https://md.research.elamur.ai/free/en/papers/savoldi-2021-gender-bias-machine-translation/)
1684. [**ParaCrawl: Web-Scale Acquisition of Parallel Corpora**Marta Bañón, Pinzhen Chen, Barry Haddow, et al.*2020 · 310 citations*](https://md.research.elamur.ai/free/en/papers/banon-2020-paracrawl-web-scale-acquisition-parallel/)
1685. [**Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments**Michael Mohler, Razvan Bunescu, Rada Mihalcea*2011 · 310 citations*](https://md.research.elamur.ai/free/en/papers/mohler-2011-learning-grade-short-answer-questions/)
1686. [**Hallucination is Inevitable: An Innate Limitation of Large Language Models**Ziwei Xu, Sanjay Jain, Mohan Kankanhalli*2024 · 309 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-hallucination-inevitable-innate-limitation-large/)
1687. [**Byte Pair Encoding is Suboptimal for Language Model Pretraining**Kaj Bostrom, Greg Durrett*2020 · 309 citations*](https://md.research.elamur.ai/free/en/papers/bostrom-2020-byte-pair-encoding-is-suboptimal/)
1688. [**A Minimal Span-Based Neural Constituency Parser**Mitchell Stern, Jacob Andreas, Dan Klein*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/stern-2017-minimal-span-based-neural-constituency/)
1689. [**Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms**Shulin Liu, Yubo Chen, Kang Liu, et al.*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-exploiting-argument-information-improve-event/)
1690. [**Using String-Kernels for Learning Semantic Parsers**Rohit J. Kate, Raymond J. Mooney*2006 · 308 citations*](https://md.research.elamur.ai/free/en/papers/kate-2006-string-kernels-learning-semantic-parsers/)
1691. [**A Mention-Synchronous Coreference Resolution Algorithm Based On the Bell Tree**Xiaoqiang Luo, Abe Ittycheriah, Hongyan Jing, et al.*2004 · 308 citations*](https://md.research.elamur.ai/free/en/papers/luo-2004-mention-synchronous-coreference-resolution-algorithm/)
1692. [**Precision and Recall of Machine Translation**I. Dan Melamed, Ryan Green, Joseph P. Turian*2003 · 308 citations*](https://md.research.elamur.ai/free/en/papers/melamed-2003-precision-recall-machine-translation/)
1693. [**Discovering Language Model Behaviors with Model-Written Evaluations**Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.*2022 · 307 citations*](https://md.research.elamur.ai/free/en/papers/perez-2022-discovering-language-model-behaviors-model/)
1694. [**Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages**Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.*2022 · 307 citations*](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/)
1695. [**Good-Enough Compositional Data Augmentation**Jacob Andreas*2020 · 307 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2020-good-enough-compositional-data-augmentation/)
1696. [**Get out the vote: Determining support or opposition from Congressional floor-debate transcripts**Matt Thomas, Bo Pang, Lillian Lee*2006 · 307 citations*](https://md.research.elamur.ai/free/en/papers/thomas-2006-get-out-vote-determining-support/)
1697. [**AugGPT: Leveraging ChatGPT for Text Data Augmentation**Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li*2023 · 306 citations*](https://md.research.elamur.ai/free/en/papers/dai-2023-auggpt-leveraging-chatgpt-text-data/)
1698. [**Multi-hop Reading Comprehension through Question Decomposition and Rescoring**Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.*2019 · 306 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-multi-hop-reading-comprehension-through/)
1699. [**A Survey of Domain Adaptation for Neural Machine Translation**Chenhui Chu, Rui Wang*2018 · 306 citations*](https://md.research.elamur.ai/free/en/papers/chu-2018-survey-domain-adaptation-neural-machine/)
1700. [**Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow**Pengcheng Yin, Bowen Deng, Edgar Chen, et al.*2018 · 306 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-learning-mine-aligned-code-natural/)
1701. [**Computational Argumentation Quality Assessment in Natural Language**Henning Wachsmuth, Nona Naderi, Yufang Hou, et al.*2017 · 306 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2017-computational-argumentation-quality-assessment-natural/)
1702. [**Identifying beneficial task relations for multi-task learning in deep neural networks**Joachim Bingel, Anders Søgaard*2017 · 306 citations*](https://md.research.elamur.ai/free/en/papers/bingel-2017-identifying-beneficial-task-relations-multi/)
1703. [**Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation**George Foster, Cyril Goutte, Roland Kuhn*2010 · 306 citations*](https://md.research.elamur.ai/free/en/papers/foster-2010-discriminative-instance-weighting-domain-adaptation/)
1704. [**A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features**Min Zhang, Jie Zhang, Jian Su, et al.*2006 · 306 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2006-composite-kernel-extract-relations-between/)
1705. [**Recognising Textual Entailment with Logical Inference**Johan Bos, Katja Markert*2005 · 306 citations*](https://md.research.elamur.ai/free/en/papers/bos-2005-recognising-textual-entailment-logical-inference/)
1706. [**Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation**Wang Ling, Tiago Luis, Luis Marujo, et al.*2015 · 305 citations*](https://md.research.elamur.ai/free/en/papers/ling-2015-finding-function-form-compositional-character/)
1707. [**How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources**Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.*2023 · 304 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-far-camels-go-exploring-state/)
1708. [**Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense**Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.*2023 · 304 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2023-paraphrasing-evades-detectors-ai-generated/)
1709. [**Abductive Commonsense Reasoning**Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/)
1710. [**Learning Dense Representations for Entity Retrieval**Daniel Gillick, Sayali Kulkarni, Larry Lansing, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2019-learning-dense-representations-entity-retrieval/)
1711. [**Nested Named Entity Recognition Revisited**Arzoo Katiyar, Claire Cardie*2018 · 304 citations*](https://md.research.elamur.ai/free/en/papers/katiyar-2018-nested-named-entity-recognition-revisited/)
1712. [**SemEval 2016 Task 11: Complex Word Identification**Gustavo Paetzold, Lucia Specia*2016 · 304 citations*](https://md.research.elamur.ai/free/en/papers/paetzold-2016-semeval-2016-task-11-complex/)
1713. [**Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning**Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.*2025 · 303 citations*](https://md.research.elamur.ai/free/en/papers/jin-2025-search-r1-training-llms-reason/)
1714. [**PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts**Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.*2023 · 303 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-promptrobust-towards-evaluating-robustness-large/)
1715. [**Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering**Zhiguo Wang, Patrick Ng, Xiaofei Ma, et al.*2019 · 303 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-multi-passage-bert-globally-normalized/)
1716. [**Automated Fact Checking: Task Formulations, Methods and Future Directions**James Thorne, Andreas Vlachos*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-automated-fact-checking-task-formulations/)
1717. [**UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task**Milan Straka*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/)
1718. [**Do Multi-Sense Embeddings Improve Natural Language Understanding?**Jiwei Li, Dan Jurafsky*2015 · 303 citations*](https://md.research.elamur.ai/free/en/papers/li-2015-do-multi-sense-embeddings-improve/)
1719. [**Overview for the First Shared Task on Language Identification in Code-Switched Data**Thamar Solorio, Elizabeth Blair, Suraj Maharjan, et al.*2014 · 303 citations*](https://md.research.elamur.ai/free/en/papers/solorio-2014-overview-first-shared-task-language/)
1720. [**An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation**Yoong Keok Lee, Hwee Tou Ng*2002 · 303 citations*](https://md.research.elamur.ai/free/en/papers/lee-2002-empirical-evaluation-knowledge-sources-learning/)
1721. [**Can AI-Generated Text be Reliably Detected?**Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.*2023 · 302 citations*](https://md.research.elamur.ai/free/en/papers/sadasivan-2023-ai-generated-text-reliably-detected/)
1722. [**Large Language Models are Better Reasoners with Self-Verification**Yixuan Weng, Minjun Zhu, Fei Xia, et al.*2023 · 302 citations*](https://md.research.elamur.ai/free/en/papers/weng-2023-large-language-models-are-better/)
1723. [**SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer**Tu Vu, Brian Lester, Noah Constant, et al.*2022 · 302 citations*](https://md.research.elamur.ai/free/en/papers/vu-2022-spot-better-frozen-model-adaptation/)
1724. [**ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers**Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.*2022 · 302 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-zeroquant-efficient-affordable-post-training/)
1725. [**A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling**Haihong E, Peiqing Niu, Zhongfu Chen, et al.*2019 · 302 citations*](https://md.research.elamur.ai/free/en/papers/e-2019-novel-bi-directional-interrelated-model/)

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/17/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) … [10](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/10/) … [17](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/17/) **18** [19](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/19/) [20](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/20/) … [94](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/94/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/19/)