---
title: "Computer Science — papers, page 10 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 10 of 92 · 826–925, the most cited first — our summary of each, its…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/page/10/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/page/10/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / page 10

# 🖥️ Computer Science

9,085 papers · page 10 of 92 · 826–925 · 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)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/9/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [9](https://md.research.elamur.ai/free/en/shelves/computer-science/page/9/) **10** [11](https://md.research.elamur.ai/free/en/shelves/computer-science/page/11/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/page/20/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/11/)

826. [**A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task**Danqi Chen, Jason Bolton, Christopher D. Manning*2016 · 691 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-thorough-examination-cnn-daily-mail/)
827. [**Automatic Chain of Thought Prompting in Large Language Models**Zhuosheng Zhang, Aston Zhang, Mu Li, et al.*2022 · 690 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-automatic-chain-thought-prompting-large/)
828. [**TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data**Pengcheng Yin, Graham Neubig, Wen-tau Yih, et al.*2020 · 690 citations*](https://md.research.elamur.ai/free/en/papers/yin-2020-tabert-pretraining-joint-understanding-textual/)
829. [**DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation**Yizhe Zhang, Siqi Sun, Michel Galley, et al.*2019 · 690 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-dialogpt-large-scale-generative-pre/)
830. [**Findings of the 2017 Conference on Machine Translation (WMT17)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 689 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/)
831. [**ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools**Team GLM, Aohan Zeng, Bin Xu, et al.*2024 · 688 citations*](https://md.research.elamur.ai/free/en/papers/glm-2024-chatglm-family-large-language-models/)
832. [**Why We Need New Evaluation Metrics for NLG**Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.*2017 · 688 citations*](https://md.research.elamur.ai/free/en/papers/novikova-2017-why-we-need-new-evaluation/)
833. [**Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes**Cheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.*2023 · 685 citations*](https://md.research.elamur.ai/free/en/papers/hsieh-2023-distilling-step-step-outperforming-larger/)
834. [**ELI5: Long Form Question Answering**Angela Fan, Yacine Jernite, Ethan Perez, et al.*2019 · 685 citations*](https://md.research.elamur.ai/free/en/papers/fan-2019-eli5-long-form-question-answering/)
835. [**Learning bilingual word embeddings with (almost) no bilingual data**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2017 · 685 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2017-learning-bilingual-word-embeddings-almost/)
836. [**Bilingual Word Embeddings for Phrase-Based Machine Translation**Will Y. Zou, Richard Socher, Daniel Cer, et al.*2013 · 685 citations*](https://md.research.elamur.ai/free/en/papers/zou-2013-bilingual-word-embeddings-phrase-based/)
837. [**Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks**Zhichun Wang, Qingsong Lv, Xiaohan Lan, et al.*2018 · 684 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/)
838. [**A Class of Submodular Functions for Document Summarization**Hui Lin, Jeff Bilmes*2011 · 684 citations*](https://md.research.elamur.ai/free/en/papers/lin-2011-class-submodular-functions-document-summarization/)
839. [**Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval**Lee Xiong, Chenyan Xiong, Ye Li, et al.*2020 · 683 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2020-approximate-nearest-neighbor-negative-contrastive/)
840. [**Semantic Parsing via Paraphrasing**Jonathan Berant, Percy Liang*2014 · 682 citations*](https://md.research.elamur.ai/free/en/papers/berant-2014-semantic-parsing-paraphrasing/)
841. [**Joint Event Extraction via Structured Prediction with Global Features**Qi Li, Heng Ji, Liang Huang*2013 · 682 citations*](https://md.research.elamur.ai/free/en/papers/li-2013-joint-event-extraction-structured-prediction/)
842. [**LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 680 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/)
843. [**Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations**Patrick Pantel, Marco Pennacchiotti*2006 · 680 citations*](https://md.research.elamur.ai/free/en/papers/pantel-2006-espresso-leveraging-generic-patterns-automatically/)
844. [**Globally Normalized Transition-Based Neural Networks**Daniel Andor, Chris Alberti, David Weiss, et al.*2016 · 679 citations*](https://md.research.elamur.ai/free/en/papers/andor-2016-globally-normalized-transition-based-neural/)
845. [**Large Language Models Are Human-Level Prompt Engineers**Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.*2022 · 678 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2022-large-language-models-human-level/)
846. [**ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing**Mark Neumann, Daniel King, Iz Beltagy, et al.*2019 · 677 citations*](https://md.research.elamur.ai/free/en/papers/neumann-2019-scispacy-fast-robust-models-biomedical/)
847. [**Improved Alignment Models for Statistical Machine Translation**Franz Josef Och, Christoph Tillmann, Hermann Ney*1999 · 677 citations*](https://md.research.elamur.ai/free/en/papers/och-1999-improved-alignment-models-statistical-machine/)
848. [**Learning multiple visual domains with residual adapters**Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi*2017 · 674 citations*](https://md.research.elamur.ai/free/en/papers/rebuffi-2017-learning-multiple-visual-domains-residual/)
849. [**Evaluation methods for unsupervised word embeddings**Tobias Schnabel, Igor Labutov, David Mimno, et al.*2015 · 674 citations*](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/)
850. [**TVQA: Localized, Compositional Video Question Answering**Jie Lei, Licheng Yu, Mohit Bansal, et al.*2018 · 673 citations*](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/)
851. [**context2vec: Learning Generic Context Embedding with Bidirectional LSTM**Oren Melamud, Jacob Goldberger, Ido Dagan*2016 · 672 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/)
852. [**Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings**Apoorv Saxena, Aditay Tripathi, Partha Talukdar*2020 · 671 citations*](https://md.research.elamur.ai/free/en/papers/saxena-2020-improving-multi-hop-question-answering/)
853. [**Mask-Predict: Parallel Decoding of Conditional Masked Language Models**Marjan Ghazvininejad, Omer Levy, Yinhan Liu, et al.*2019 · 671 citations*](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2019-mask-predict-parallel-decoding-conditional/)
854. [**Well-Read Students Learn Better: On the Importance of Pre-training Compact Models**Iulia Turc, Ming-Wei Chang, Kenton Lee, et al.*2019 · 671 citations*](https://md.research.elamur.ai/free/en/papers/turc-2019-well-read-students-learn-better/)
855. [**Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences**Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.*2018 · 671 citations*](https://md.research.elamur.ai/free/en/papers/khashabi-2018-looking-beyond-surface-challenge-set/)
856. [**Passage Re-ranking with BERT**Rodrigo Nogueira, Kyunghyun Cho*2019 · 670 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2019-passage-re-ranking-bert/)
857. [**MaltParser: A Data-Driven Parser-Generator for Dependency Parsing**Joakim Nivre, Johan Hall, Jens Nilsson*2006 · 669 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2006-maltparser-data-driven-parser-generator/)
858. [**The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks**Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.*2018 · 668 citations*](https://md.research.elamur.ai/free/en/papers/carlini-2018-secret-sharer-evaluating-testing-unintended/)
859. [**Cross-lingual Name Tagging and Linking for 282 Languages**Xiaoman Pan, Boliang Zhang, Jonathan May, et al.*2017 · 668 citations*](https://md.research.elamur.ai/free/en/papers/pan-2017-cross-lingual-name-tagging-linking/)
860. [**A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks**Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.*2016 · 668 citations*](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/)
861. [**Fast and Robust Neural Network Joint Models for Statistical Machine Translation**Jacob Devlin, Rabih Zbib, Zhongqiang Huang, et al.*2014 · 668 citations*](https://md.research.elamur.ai/free/en/papers/devlin-2014-fast-robust-neural-network-joint/)
862. [**Noun Classification From Predicate-Argument Structures**Donald Hindle*1990 · 668 citations*](https://md.research.elamur.ai/free/en/papers/hindle-1990-noun-classification-predicate-argument-structures/)
863. [**Benchmarking Large Language Models for News Summarization**Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al.*2024 · 666 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/)
864. [**Red Teaming Language Models with Language Models**Ethan Perez, Saffron Huang, Francis Song, et al.*2022 · 666 citations*](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/)
865. [**BAE: BERT-based Adversarial Examples for Text Classification**Siddhant Garg, Goutham Ramakrishnan*2020 · 665 citations*](https://md.research.elamur.ai/free/en/papers/garg-2020-bae-bert-based-adversarial-examples/)
866. [**K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters**Ruize Wang, Duyu Tang, Nan Duan, et al.*2020 · 665 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/)
867. [**KILT: a Benchmark for Knowledge Intensive Language Tasks**Fabio Petroni, Aleksandra Piktus, Angela Fan, et al.*2020 · 665 citations*](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/)
868. [**Efficient Content-Based Sparse Attention with Routing Transformers**Aurko Roy, Mohammad Saffar, Ashish Vaswani, et al.*2020 · 664 citations*](https://md.research.elamur.ai/free/en/papers/roy-2020-efficient-content-based-sparse-attention/)
869. [***SEM 2013 shared task: Semantic Textual Similarity**Eneko Agirre, Daniel Cer, Mona Diab, et al.*2013 · 663 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2013-sem-2013-shared-task-semantic/)
870. [**NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets**Saif Mohammad, Svetlana Kiritchenko, Xiaodan Zhu*2013 · 663 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2013-nrc-canada-building-state-art/)
871. [**Detecting Hate Speech on the World Wide Web**William Warner, Julia Hirschberg*2012 · 663 citations*](https://md.research.elamur.ai/free/en/papers/warner-2012-detecting-hate-speech-world-wide/)
872. [**Curriculum Learning**Yoshua Bengio, Jérôme Louradour, Ronan Collobert, et al.*2009 · 662 citations*](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/)
873. [**Similarity of Neural Network Representations Revisited**Simon Kornblith, Mohammad Norouzi, Honglak Lee, et al.*2019 · 661 citations*](https://md.research.elamur.ai/free/en/papers/kornblith-2019-similarity-neural-network-representations-revisited/)
874. [**A Phrase-Based,Joint Probability Model for Statistical Machine Translation**Daniel Marcu, Daniel Wong*2002 · 661 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2002-phrase-based-joint-probability-model/)
875. [**An Improved Error Model for Noisy Channel Spelling Correction**Eric Brill, Robert C. Moore*2000 · 661 citations*](https://md.research.elamur.ai/free/en/papers/brill-2000-improved-error-model-noisy-channel/)
876. [**Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation**Markus Freitag, George Foster, David Grangier, et al.*2021 · 660 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/)
877. [**Visualizing and Understanding Convolutional Networks**Matthew D Zeiler, Rob Fergus*2013 · 660 citations*](https://md.research.elamur.ai/free/en/papers/zeiler-2013-visualizing-understanding-convolutional-networks/)
878. [**Automatic Identification of Word Translations from Unrelated English and German Corpora**Reinhard Rapp*1999 · 660 citations*](https://md.research.elamur.ai/free/en/papers/rapp-1999-automatic-identification-word-translations-unrelated/)
879. [**PARADISE: A Framework for Evaluating Spoken Dialogue Agents**Marilyn A. Walker, Diane J. Litman, Candace A. Kamm, et al.*1997 · 660 citations*](https://md.research.elamur.ai/free/en/papers/walker-1997-paradise-framework-evaluating-spoken-dialogue/)
880. [**Jailbroken: How Does LLM Safety Training Fail?**Alexander Wei, Nika Haghtalab, Jacob Steinhardt*2023 · 659 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbroken-llm-safety-training-fail/)
881. [**Problems in Current Text Simplification Research: New Data Can Help**Wei Xu, Chris Callison-Burch, Courtney Napoles*2015 · 659 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-problems-current-text-simplification-research/)
882. [**Highway Networks**Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber*2015 · 657 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2015-highway-networks/)
883. [**Simple Semi-supervised Dependency Parsing**Terry Koo, Xavier Carreras, Michael Collins*2008 · 657 citations*](https://md.research.elamur.ai/free/en/papers/koo-2008-simple-semi-supervised-dependency-parsing/)
884. [**The JRC-Acquis: A Multilingual Aligned Parallel Corpus with 20+ Languages**Ralf Steinberger, Bruno Pouliquen, Anna Widiger, et al.*2006 · 657 citations*](https://md.research.elamur.ai/free/en/papers/steinberger-2006-jrc-acquis-multilingual-aligned-parallel/)
885. [**Aligning Sentences in Parallel Corpora**Peter F. Brown, Jennifer C. Lai, Robert L. Mercer*1991 · 657 citations*](https://md.research.elamur.ai/free/en/papers/brown-1991-aligning-sentences-parallel-corpora/)
886. [**BabelNet: Building a Very Large Multilingual Semantic Network**Roberto Navigli, Simone Paolo Ponzetto*2010 · 656 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2010-babelnet-building-very-large-multilingual/)
887. [**Slot-Gated Modeling for Joint Slot Filling and Intent Prediction**Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, et al.*2018 · 655 citations*](https://md.research.elamur.ai/free/en/papers/goo-2018-slot-gated-modeling-joint-slot/)
888. [**Instruction Tuning with GPT-4**Baolin Peng, Chunyuan Li, Pengcheng He, et al.*2023 · 654 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-instruction-tuning-gpt-4/)
889. [**Measures of Distributional Similarity**Lillian Lee*1999 · 654 citations*](https://md.research.elamur.ai/free/en/papers/lee-1999-measures-distributional-similarity/)
890. [**Unsupervised Machine Translation Using Monolingual Corpora Only**Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.*2017 · 653 citations*](https://md.research.elamur.ai/free/en/papers/lample-2017-unsupervised-machine-translation-using-monolingual/)
891. [**A Neural Approach to Automated Essay Scoring**Kaveh Taghipour, Hwee Tou Ng*2016 · 652 citations*](https://md.research.elamur.ai/free/en/papers/taghipour-2016-neural-approach-automated-essay-scoring/)
892. [**Alignment by Agreement**Percy Liang, Ben Taskar, Dan Klein*2006 · 652 citations*](https://md.research.elamur.ai/free/en/papers/liang-2006-alignment-agreement/)
893. [**CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data**Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.*2020 · 651 citations*](https://md.research.elamur.ai/free/en/papers/wenzek-2020-ccnet-extracting-high-quality-monolingual/)
894. [**Using Convolutional Neural Networks to Classify Hate-Speech**Björn Gambäck, Utpal Kumar Sikdar*2017 · 651 citations*](https://md.research.elamur.ai/free/en/papers/gamback-2017-convolutional-neural-networks-classify-hate/)
895. [**Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging**Nils Reimers, Iryna Gurevych*2017 · 650 citations*](https://md.research.elamur.ai/free/en/papers/reimers-2017-reporting-score-distributions-makes-difference/)
896. [**Open Information Extraction Using Wikipedia**Fei Wu, Daniel S. Weld*2010 · 650 citations*](https://md.research.elamur.ai/free/en/papers/wu-2010-open-information-extraction-wikipedia/)
897. [**CoCa: Contrastive Captioners are Image-Text Foundation Models**Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.*2022 · 649 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-coca-contrastive-captioners-image-text/)
898. [**CodeSearchNet Challenge: Evaluating the State of Semantic Code Search**Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, et al.*2020 · 649 citations*](https://md.research.elamur.ai/free/en/papers/husain-2020-codesearchnet-challenge-evaluating-state-semantic/)
899. [**ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer**Yuanmeng Yan, Rumei Li, Sirui Wang, et al.*2021 · 648 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-consert-contrastive-framework-self-supervised/)
900. [**Incremental Joint Extraction of Entity Mentions and Relations**Qi Li, Heng Ji*2014 · 648 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-incremental-joint-extraction-entity-mentions/)
901. [**Chunking with Support Vector Machines**Taku Kudo, Yuji Matsumoto*2001 · 648 citations*](https://md.research.elamur.ai/free/en/papers/kudo-2001-chunking-support-vector-machines/)
902. [**HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models**Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.*2023 · 647 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-halueval-large-scale-hallucination-evaluation/)
903. [**FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP**Alan Akbik, Tanja Bergmann, Duncan Blythe, et al.*2019 · 647 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2019-flair-easy-use-framework-state/)
904. [**A Survey on Automated Fact-Checking**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*2022 · 646 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/)
905. [**Show and Tell: A Neural Image Caption Generator**Oriol Vinyals, Alexander Toshev, Samy Bengio, et al.*2014 · 645 citations*](https://md.research.elamur.ai/free/en/papers/vinyals-2014-show-tell-neural-image-caption/)
906. [**Persistent Anti-Muslim Bias in Large Language Models**Abubakar Abid, Maheen Farooqi, James Zou*2021 · 644 citations*](https://md.research.elamur.ai/free/en/papers/abid-2021-persistent-anti-muslim-bias-large/)
907. [**A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)**Alane Suhr, Stephanie Zhou, Ally Zhang, et al.*2019 · 644 citations*](https://md.research.elamur.ai/free/en/papers/suhr-2019-corpus-reasoning-natural-language-grounded/)
908. [**Pointing the Unknown Words**Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.*2016 · 644 citations*](https://md.research.elamur.ai/free/en/papers/gulcehre-2016-pointing-unknown-words/)
909. [**ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge**Yunxiang Li, Zihan Li, Kai Zhang, et al.*2023 · 643 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-chatdoctor-medical-chat-model-fine/)
910. [**Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate**Tian Liang, Zhiwei He, Wenxiang Jiao, et al.*2023 · 643 citations*](https://md.research.elamur.ai/free/en/papers/liang-2023-encouraging-divergent-thinking-large-language/)
911. [**Algorithms for Deterministic Incremental Dependency Parsing**Joakim Nivre*2008 · 643 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2008-algorithms-deterministic-incremental-dependency-parsing/)
912. [**Learning Word Vectors for 157 Languages**Edouard Grave, Piotr Bojanowski, Prakhar Gupta, et al.*2018 · 641 citations*](https://md.research.elamur.ai/free/en/papers/grave-2018-learning-word-vectors-157-languages/)
913. [**A Centering Approach to Pronouns**Susan E. Brennan, Marilyn W. Friedman, Carl J. Pollard*1987 · 641 citations*](https://md.research.elamur.ai/free/en/papers/brennan-1987-centering-approach-pronouns/)
914. [**A Linear Programming Formulation for Global Inference in Natural Language Tasks**Dan Roth, Wen-tau Yih*2004 · 639 citations*](https://md.research.elamur.ai/free/en/papers/roth-2004-linear-programming-formulation-global-inference/)
915. [**Scalable Inference and Training of Context-Rich Syntactic Translation Models**Michel Galley, Jonathan Graehl, Kevin Knight, et al.*2006 · 638 citations*](https://md.research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/)
916. [**Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models**Muhammad Maaz, Hanoona Rasheed, Salman Khan, et al.*2023 · 635 citations*](https://md.research.elamur.ai/free/en/papers/maaz-2023-video-chatgpt-towards-detailed-video/)
917. [**Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop**Nizar Habash, Owen Rambow*2005 · 635 citations*](https://md.research.elamur.ai/free/en/papers/habash-2005-arabic-tokenization-part-speech-tagging/)
918. [**DAPO: An Open-Source LLM Reinforcement Learning System at Scale**Qiying Yu, Zheng Zhang, Ruofei Zhu, et al.*2025 · 634 citations*](https://md.research.elamur.ai/free/en/papers/yu-2025-dapo-open-source-llm-reinforcement/)
919. [**Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation**Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.*2023 · 632 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-your-code-generated-chatgpt-really/)
920. [**Discriminating Gender on Twitter**John D. Burger, John Henderson, George Kim, et al.*2011 · 632 citations*](https://md.research.elamur.ai/free/en/papers/burger-2011-discriminating-gender-twitter/)
921. [**Exploring Content Models for Multi-Document Summarization**Aria Haghighi, Lucy Vanderwende*2009 · 632 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2009-exploring-content-models-multi-document/)
922. [**Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine**Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, et al.*2023 · 631 citations*](https://md.research.elamur.ai/free/en/papers/jiao-2023-chatgpt-good-translator-yes-gpt/)
923. [**The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages**Jan Hajič, Massimiliano Ciaramita, Richard Johansson, et al.*2009 · 631 citations*](https://md.research.elamur.ai/free/en/papers/hajic-2009-conll-2009-shared-task-syntactic/)
924. [**A Frustratingly Easy Approach for Entity and Relation Extraction**Zexuan Zhong, Danqi Chen*2020 · 630 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/)
925. [**Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond**Mikel Artetxe, Holger Schwenk*2018 · 629 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2018-massively-multilingual-sentence-embeddings-zero/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/9/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [9](https://md.research.elamur.ai/free/en/shelves/computer-science/page/9/) **10** [11](https://md.research.elamur.ai/free/en/shelves/computer-science/page/11/) … [20](https://md.research.elamur.ai/free/en/shelves/computer-science/page/20/) … [92](https://md.research.elamur.ai/free/en/shelves/computer-science/page/92/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/page/11/)