---
title: "Computer Science — papers, page 18 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 18 of 92 · 1626–1725, the most cited first — our summary of each, its…"
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# 🖥️ Computer Science

9,085 papers · page 18 of 92 · 1626–1725 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial intelligence, language technology, vision, systems, networks, software and the theory of computing.

## Papers (9,085)

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1626. [**Tool Learning with Foundation Models**Yujia Qin, Shengding Hu, Yankai Lin, et al.*2023 · 378 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/)
1627. [**Towards General Text Embeddings with Multi-stage Contrastive Learning**Zehan Li, Xin Zhang, Yanzhao Zhang, et al.*2023 · 378 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-towards-general-text-embeddings-multi/)
1628. [**FastBERT: a Self-distilling BERT with Adaptive Inference Time**Weijie Liu, Peng Zhou, Zhiruo Wang, et al.*2020 · 378 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-fastbert-self-distilling-bert-adaptive/)
1629. [**A Neural Layered Model for Nested Named Entity Recognition**Meizhi Ju, Makoto Miwa, Sophia Ananiadou*2018 · 378 citations*](https://md.research.elamur.ai/free/en/papers/ju-2018-neural-layered-model-nested-named/)
1630. [**HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data**Wenhu Chen, Hanwen Zha, Zhiyu Chen, et al.*2020 · 377 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-hybridqa-dataset-multi-hop-question/)
1631. [**Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks**Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.*2018 · 377 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-paragraph-level-neural-question-generation/)
1632. [**Neural Machine Translation with Extended Context**Jörg Tiedemann, Yves Scherrer*2017 · 377 citations*](https://md.research.elamur.ai/free/en/papers/tiedemann-2017-neural-machine-translation-extended-context/)
1633. [**From Paraphrase Database to Compositional Paraphrase Model and Back**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2015 · 377 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2015-paraphrase-database-compositional-paraphrase-model/)
1634. [**Extracting Relations with Integrated Information Using Kernel Methods**Shubin Zhao, Ralph Grishman*2005 · 377 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2005-extracting-relations-integrated-information-kernel/)
1635. [**Representing Discourse Coherence: A Corpus-Based Study**Florian Wolf, Edward Gibson*2005 · 377 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2005-representing-discourse-coherence-corpus-based/)
1636. [**Mind2Web: Towards a Generalist Agent for the Web**Xiang Deng, Yu Gu, Boyuan Zheng, et al.*2023 · 376 citations*](https://md.research.elamur.ai/free/en/papers/deng-2023-mind2web-towards-generalist-agent-web/)
1637. [**Editing Models with Task Arithmetic**Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.*2022 · 376 citations*](https://md.research.elamur.ai/free/en/papers/ilharco-2022-editing-models-task-arithmetic/)
1638. [**Transformers as Soft Reasoners over Language**Peter Clark, Oyvind Tafjord, Kyle Richardson*2020 · 376 citations*](https://md.research.elamur.ai/free/en/papers/clark-2020-transformers-soft-reasoners-over-language/)
1639. [**Multilingual Models for Compositional Distributed Semantics**Karl Moritz Hermann, Phil Blunsom*2014 · 376 citations*](https://md.research.elamur.ai/free/en/papers/hermann-2014-multilingual-models-compositional-distributed-semantics/)
1640. [**A Scalable Global Model for Summarization**Dan Gillick, Benoit Favre*2009 · 376 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2009-scalable-global-model-summarization/)
1641. [**MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension**Adam Fisch, Alon Talmor, Robin Jia, et al.*2019 · 375 citations*](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/)
1642. [**CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction**Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, et al.*2018 · 375 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2018-cail2018-large-scale-legal-dataset/)
1643. [**TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction**Adrien Bougouin, Florian Boudin, Béatrice Daille*2013 · 375 citations*](https://md.research.elamur.ai/free/en/papers/bougouin-2013-topicrank-graph-based-topic-ranking/)
1644. [**Crowdsourcing Translation: Professional Quality from Non-Professionals**Omar F. Zaidan, Chris Callison-Burch*2011 · 375 citations*](https://md.research.elamur.ai/free/en/papers/zaidan-2011-crowdsourcing-translation-professional-quality-non/)
1645. [**Probabilistic CFG with Latent Annotations**Takuya Matsuzaki, Yusuke Miyao, Jun'ichi Tsujii*2005 · 375 citations*](https://md.research.elamur.ai/free/en/papers/matsuzaki-2005-probabilistic-cfg-latent-annotations/)
1646. [**A Watermark for Large Language Models**John Kirchenbauer, Jonas Geiping, Yuxin Wen, et al.*2023 · 374 citations*](https://md.research.elamur.ai/free/en/papers/kirchenbauer-2023-watermark-large-language-models/)
1647. [**A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers**Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.*2021 · 374 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/)
1648. [**cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models**Chris Dyer, Adam Lopez, Juri Ganitkevitch, et al.*2010 · 374 citations*](https://md.research.elamur.ai/free/en/papers/dyer-2010-cdec-decoder-alignment-learning-framework/)
1649. [**ChatDev: Communicative Agents for Software Development**Chen Qian, Wei Liu, Hongzhang Liu, et al.*2023 · 373 citations*](https://md.research.elamur.ai/free/en/papers/qian-2023-chatdev-communicative-agents-software/)
1650. [**CogVLM: Visual Expert for Pretrained Language Models**Weihan Wang, Qingsong Lv, Wenmeng Yu, et al.*2023 · 373 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-cogvlm-visual-expert-pretrained/)
1651. [**JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages**Željko Agić, Ivan Vulić*2019 · 373 citations*](https://md.research.elamur.ai/free/en/papers/agic-2019-jw300-wide-coverage-parallel-corpus/)
1652. [**A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications**Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha*2024 · 372 citations*](https://md.research.elamur.ai/free/en/papers/sahoo-2024-systematic-survey-prompt-engineering-large/)
1653. [**Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology**Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach, et al.*2019 · 372 citations*](https://md.research.elamur.ai/free/en/papers/zmigrod-2019-counterfactual-data-augmentation-mitigating-gender/)
1654. [**Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations**Peixiang Zhong, Di Wang, Chunyan Miao*2019 · 372 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2019-knowledge-enriched-transformer-emotion-detection/)
1655. [**What makes a good conversation? How controllable attributes affect human judgments**Abigail See, Stephen Roller, Douwe Kiela, et al.*2019 · 372 citations*](https://md.research.elamur.ai/free/en/papers/see-2019-what-makes-good-conversation-how/)
1656. [**Boosting Named Entity Recognition with Neural Character Embeddings**Cícero dos Santos, Victor Guimarães*2015 · 372 citations*](https://md.research.elamur.ai/free/en/papers/santos-2015-boosting-named-entity-recognition-neural/)
1657. [**Contextual Dependencies in Unsupervised Word Segmentation**Sharon Goldwater, Thomas L. Griffiths, Mark Johnson*2006 · 372 citations*](https://md.research.elamur.ai/free/en/papers/goldwater-2006-contextual-dependencies-unsupervised-word-segmentation/)
1658. [**WebArena: A Realistic Web Environment for Building Autonomous Agents**Shuyan Zhou, Frank F. Xu, Hao Zhu, et al.*2023 · 371 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-webarena-realistic-web-environment-building/)
1659. [**SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles**Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, et al.*2020 · 371 citations*](https://md.research.elamur.ai/free/en/papers/martino-2020-semeval-2020-task-11-detection/)
1660. [**Improving Lexical Embeddings with Semantic Knowledge**Mo Yu, Mark Dredze*2014 · 371 citations*](https://md.research.elamur.ai/free/en/papers/yu-2014-improving-lexical-embeddings-semantic-knowledge/)
1661. [**Learning for Semantic Parsing with Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2006 · 371 citations*](https://md.research.elamur.ai/free/en/papers/wong-2006-learning-semantic-parsing-statistical-machine/)
1662. [**Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning**Liangming Pan, Alon Albalak, Xinyi Wang, et al.*2023 · 370 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-logic-lm-empowering-large-language/)
1663. [**Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction**Yaojie Lu, Hongyu Lin, Jin Xu, et al.*2021 · 370 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-text2event-controllable-sequence-structure-generation/)
1664. [**Heterogeneous Graph Neural Networks for Extractive Document Summarization**Danqing Wang, Pengfei Liu, Yining Zheng, et al.*2020 · 370 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-heterogeneous-graph-neural-networks-extractive/)
1665. [**Position-Aware Tagging for Aspect Sentiment Triplet Extraction**Lu Xu, Hao Li, Wei Lu, et al.*2020 · 370 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-position-aware-tagging-aspect-sentiment/)
1666. [**Green AI**Roy Schwartz, Jesse Dodge, Noah A. Smith, et al.*2019 · 370 citations*](https://md.research.elamur.ai/free/en/papers/schwartz-2019-green-ai/)
1667. [**Invariant Risk Minimization**Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, et al.*2019 · 370 citations*](https://md.research.elamur.ai/free/en/papers/arjovsky-2019-invariant-risk-minimization/)
1668. [**Massively Multilingual Neural Machine Translation**Roee Aharoni, Melvin Johnson, Orhan Firat*2019 · 370 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2019-massively-multilingual-neural-machine-translation/)
1669. [**Question Generation for Question Answering**Nan Duan, Duyu Tang, Peng Chen, et al.*2017 · 370 citations*](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/)
1670. [**Metaphor Detection with Cross-Lingual Model Transfer**Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, et al.*2014 · 370 citations*](https://md.research.elamur.ai/free/en/papers/tsvetkov-2014-metaphor-detection-cross-lingual-model/)
1671. [**The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text**Richárd Farkas, Veronika Vincze, György Móra, et al.*2010 · 370 citations*](https://md.research.elamur.ai/free/en/papers/farkas-2010-conll-2010-shared-task-learning/)
1672. [**Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations**Hakan Inan, Kartikeya Upasani, Jianfeng Chi, et al.*2023 · 369 citations*](https://md.research.elamur.ai/free/en/papers/inan-2023-llama-guard-llm-based-input/)
1673. [**Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good**Xuewei Wang, Weiyan Shi, Richard Kim, et al.*2019 · 369 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-persuasion-good-personalized-persuasive-dialogue/)
1674. [**Training Tips for the Transformer Model**Martin Popel, Ondřej Bojar*2018 · 369 citations*](https://md.research.elamur.ai/free/en/papers/popel-2018-training-tips-transformer-model/)
1675. [**WASSA-2017 Shared Task on Emotion Intensity**Saif Mohammad, Felipe Bravo-Marquez*2017 · 369 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-wassa-2017-shared-task-emotion/)
1676. [**Political Ideology Detection Using Recursive Neural Networks**Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, et al.*2014 · 369 citations*](https://md.research.elamur.ai/free/en/papers/iyyer-2014-political-ideology-detection-recursive-neural/)
1677. [**Intricacies of Collins' Parsing Model**Daniel M. Bikel*2004 · 369 citations*](https://md.research.elamur.ai/free/en/papers/bikel-2004-intricacies-collins-parsing-model/)
1678. [**Large Language Models Are Reasoning Teachers**Namgyu Ho, Laura Schmid, Se-Young Yun*2023 · 368 citations*](https://md.research.elamur.ai/free/en/papers/ho-2023-large-language-models-are-reasoning/)
1679. [**VILA: On Pre-training for Visual Language Models**Ji Lin, Hongxu Yin, Wei Ping, et al.*2023 · 368 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-vila-pre-training-visual-language/)
1680. [**An Analysis of Encoder Representations in Transformer-Based Machine Translation**Alessandro Raganato, Jörg Tiedemann*2018 · 368 citations*](https://md.research.elamur.ai/free/en/papers/raganato-2018-analysis-encoder-representations-transformer-based/)
1681. [**Improving the Transformer Translation Model with Document-Level Context**Jiacheng Zhang, Huanbo Luan, Maosong Sun, et al.*2018 · 368 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-improving-transformer-translation-model-document/)
1682. [**Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis**Graham Neubig, Yosuke Nakata, Shinsuke Mori*2011 · 368 citations*](https://md.research.elamur.ai/free/en/papers/neubig-2011-pointwise-prediction-robust-adaptable-japanese/)
1683. [**An Evaluation Tool for Machine Translation: Fast Evaluation for MT Research**Sonja Nießen, Franz Josef Och, Gregor Leusch, et al.*2000 · 368 citations*](https://md.research.elamur.ai/free/en/papers/niessen-2000-evaluation-tool-machine-translation-fast/)
1684. [**A Latent Variable Model Approach to PMI-based Word Embeddings**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2016 · 367 citations*](https://md.research.elamur.ai/free/en/papers/arora-2016-latent-variable-model-approach-pmi/)
1685. [**A Survey on Large Language Models for Code Generation**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 366 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/)
1686. [**Augmented Language Models: a Survey**Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.*2023 · 366 citations*](https://md.research.elamur.ai/free/en/papers/mialon-2023-augmented-language-models-survey/)
1687. [**WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct**Haipeng Luo, Qingfeng Sun, Can Xu, et al.*2023 · 366 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-wizardmath-empowering-mathematical-reasoning-large/)
1688. [**Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence**Federico Bianchi, Silvia Terragni, Dirk Hovy*2021 · 366 citations*](https://md.research.elamur.ai/free/en/papers/bianchi-2021-pre-training-is-hot-topic/)
1689. [**The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics**Steven Bird, Robert Dale, Bonnie Dorr, et al.*2008 · 366 citations*](https://md.research.elamur.ai/free/en/papers/bird-2008-acl-anthology-reference-corpus-reference/)
1690. [**Name Tagging with Word Clusters and Discriminative Training**Scott Miller, Jethran Guinness, Alex Zamanian*2004 · 366 citations*](https://md.research.elamur.ai/free/en/papers/miller-2004-name-tagging-word-clusters-discriminative/)
1691. [**Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection**Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al.*2022 · 365 citations*](https://md.research.elamur.ai/free/en/papers/sap-2022-annotators-attitudes-how-annotator-beliefs/)
1692. [**Latent Hatred: A Benchmark for Understanding Implicit Hate Speech**Mai ElSherief, Caleb Ziems, David Muchlinski, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/elsherief-2021-latent-hatred-benchmark-understanding-implicit/)
1693. [**The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models**Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, et al.*2021 · 365 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2021-interplay-variant-size-task-type/)
1694. [**GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge**Luyao Huang, Chi Sun, Xipeng Qiu, et al.*2019 · 365 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-glossbert-bert-word-sense-disambiguation/)
1695. [**Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring**Fei Dong, Yue Zhang, Jie Yang*2017 · 365 citations*](https://md.research.elamur.ai/free/en/papers/dong-2017-attention-based-recurrent-convolutional-neural/)
1696. [**The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation**Barbara Plank*2022 · 364 citations*](https://md.research.elamur.ai/free/en/papers/plank-2022-problem-human-label-variation-ground/)
1697. [**Identifying and Reducing Gender Bias in Word-Level Language Models**Shikha Bordia, Samuel R. Bowman*2019 · 364 citations*](https://md.research.elamur.ai/free/en/papers/bordia-2019-identifying-reducing-gender-bias-word/)
1698. [**Combining Language and Vision with a Multimodal Skip-gram Model**Angeliki Lazaridou, Nghia The Pham, Marco Baroni*2015 · 364 citations*](https://md.research.elamur.ai/free/en/papers/lazaridou-2015-combining-language-vision-multimodal-skip/)
1699. [**A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing**Bernd Bohnet, Joakim Nivre*2012 · 364 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2012-transition-based-system-joint-part/)
1700. [**Adaptive Attention Span in Transformers**Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, et al.*2019 · 363 citations*](https://md.research.elamur.ai/free/en/papers/sukhbaatar-2019-adaptive-attention-span-transformers/)
1701. [**The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English**Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.*2019 · 363 citations*](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/)
1702. [**The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery**Chris Lu, Cong Lu, Robert Tjarko Lange, et al.*2024 · 362 citations*](https://md.research.elamur.ai/free/en/papers/lu-2024-ai-scientist-fully-automated/)
1703. [**Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification**Shengding Hu, Ning Ding, Huadong Wang, et al.*2022 · 362 citations*](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/)
1704. [**Revisiting Few-sample BERT Fine-tuning**Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.*2020 · 362 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-revisiting-few-sample-bert-fine/)
1705. [**Linked Data Quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO**Michael Färber, Frederic Bartscherer, Carsten Menne, et al.*2018 · 362 citations*](https://md.research.elamur.ai/free/en/papers/farber-2018-linked-data-quality-dbpedia-freebase/)
1706. [**TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue**Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.*2020 · 361 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/)
1707. [**How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks**Divyansh Kaushik, Zachary C. Lipton*2018 · 361 citations*](https://md.research.elamur.ai/free/en/papers/kaushik-2018-how-much-reading-does-reading/)
1708. [**A Statistical Model for Domain-Independent Text Segmentation**Masao Utiyama, Hitoshi Isahara*2001 · 361 citations*](https://md.research.elamur.ai/free/en/papers/utiyama-2001-statistical-model-domain-independent-text/)
1709. [**BERTje: A Dutch BERT Model**Wietse de Vries, Andreas van Cranenburgh, Arianna Bisazza, et al.*2019 · 360 citations*](https://md.research.elamur.ai/free/en/papers/de-vries-2019-bertje-dutch-bert-model/)
1710. [**HotFlip: White-Box Adversarial Examples for Text Classification**Javid Ebrahimi, Anyi Rao, Daniel Lowd, et al.*2018 · 360 citations*](https://md.research.elamur.ai/free/en/papers/ebrahimi-2018-hotflip-white-box-adversarial-examples/)
1711. [**Visual Attention Model for Name Tagging in Multimodal Social Media**Di Lu, Leonardo Neves, Vitor Carvalho, et al.*2018 · 360 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-visual-attention-model-name-tagging/)
1712. [**Analyzing the Behavior of Visual Question Answering Models**Aishwarya Agrawal, Dhruv Batra, Devi Parikh*2016 · 360 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2016-analyzing-behavior-visual-question-answering/)
1713. [**emoji2vec: Learning Emoji Representations from their Description**Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, et al.*2016 · 360 citations*](https://md.research.elamur.ai/free/en/papers/eisner-2016-emoji2vec-learning-emoji-representations-their/)
1714. [**Scaling Semantic Parsers with On-the-Fly Ontology Matching**Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, et al.*2013 · 360 citations*](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2013-scaling-semantic-parsers-fly-ontology/)
1715. [**Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation**Deyi Xiong, Qun Liu, Shouxun Lin*2006 · 360 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2006-maximum-entropy-based-phrase-reordering/)
1716. [**Tracking Point of View in Narrative**Janyce M. Wiebe*1994 · 360 citations*](https://md.research.elamur.ai/free/en/papers/wiebe-1994-tracking-point-view-narrative/)
1717. [**Datasets: A Community Library for Natural Language Processing**Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.*2021 · 359 citations*](https://md.research.elamur.ai/free/en/papers/lhoest-2021-datasets-community-library-natural-language/)
1718. [**Adversarial Training for Unsupervised Bilingual Lexicon Induction**Meng Zhang, Yang Liu, Huanbo Luan, et al.*2017 · 359 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2017-adversarial-training-unsupervised-bilingual-lexicon/)
1719. [**Question Answering on Freebase via Relation Extraction and Textual Evidence**Kun Xu, Siva Reddy, Yansong Feng, et al.*2016 · 359 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-question-answering-freebase-relation-extraction/)
1720. [**The Media Frames Corpus: Annotations of Frames Across Issues**Dallas Card, Amber E. Boydstun, Justin H. Gross, et al.*2015 · 359 citations*](https://md.research.elamur.ai/free/en/papers/card-2015-media-frames-corpus-annotations-frames/)
1721. [**A Unified Model for Word Sense Representation and Disambiguation**Xinxiong Chen, Zhiyuan Liu, Maosong Sun*2014 · 359 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-unified-model-word-sense-representation/)
1722. [**Random Walks for Knowledge-Based Word Sense Disambiguation**Eneko Agirre, Oier López de Lacalle, Aitor Soroa*2014 · 359 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-random-walks-knowledge-based-word/)
1723. [**Varieties of conventional implicature**Elin McCready*2010 · 359 citations*](https://md.research.elamur.ai/free/en/papers/mccready-2010-varieties-conventional-implicature/)
1724. [**Arabic Preprocessing Schemes for Statistical Machine Translation**Nizar Habash, Fatiha Sadat*2006 · 359 citations*](https://md.research.elamur.ai/free/en/papers/habash-2006-arabic-preprocessing-schemes-statistical-machine/)
1725. [**Orca: Progressive Learning from Complex Explanation Traces of GPT-4**Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.*2023 · 358 citations*](https://md.research.elamur.ai/free/en/papers/mukherjee-2023-orca-progressive-learning-complex-explanation/)

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