---
title: "Artificial Intelligence — papers, page 27 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 27 of 90 · 2526–2625, the most cited first — our summary of each…"
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# 🤖 Artificial Intelligence

8,885 papers · page 27 of 90 · 2526–2625 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

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

## Papers (8,885)

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2526. [**Dynamically Fused Graph Network for Multi-hop Reasoning**Lin Qiu, Yunxuan Xiao, Yanru Qu, et al.*2019 · 237 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2019-dynamically-fused-graph-network-multi/)
2527. [**Towards Robust Neural Machine Translation**Yong Cheng, Zhaopeng Tu, Fandong Meng, et al.*2018 · 237 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2018-robust-neural-machine-translation/)
2528. [**Conventional Orthography for Dialectal Arabic**Nizar Habash, Mona Diab, Owen Rambow*2012 · 237 citations*](https://md.research.elamur.ai/free/en/papers/habash-2012-conventional-orthography-dialectal-arabic/)
2529. [**Selective Sharing for Multilingual Dependency Parsing**Tahira Naseem, Regina Barzilay, Amir Globerson*2012 · 237 citations*](https://md.research.elamur.ai/free/en/papers/naseem-2012-selective-sharing-multilingual-dependency-parsing/)
2530. [**Machine Transliteration**Kevin Knight, Jonathan Graehl*1998 · 237 citations*](https://md.research.elamur.ai/free/en/papers/knight-1998-machine-transliteration/)
2531. [**mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval**Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/)
2532. [**On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey**Lin Long, Rui Wang, Ruixuan Xiao, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/)
2533. [**Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey**Zeyu Han, Chao Gao, Jinyang Liu, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/han-2024-parameter-efficient-fine-tuning-large/)
2534. [**LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.*2023 · 236 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-lmsys-chat-1m-large-scale/)
2535. [**Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models**Myra Cheng, Esin Durmus, Dan Jurafsky*2023 · 236 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2023-marked-personas-natural-language-prompts/)
2536. [**Reframing Instructional Prompts to GPTk's Language**Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al.*2022 · 236 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2022-reframing-instructional-prompts-gptk-s/)
2537. [**Transformers learn in-context by gradient descent**Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.*2022 · 236 citations*](https://md.research.elamur.ai/free/en/papers/oswald-2022-transformers-learn-context-gradient-descent/)
2538. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*2020 · 236 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
2539. [**Generative Language Modeling for Automated Theorem Proving**Stanislas Polu, Ilya Sutskever*2020 · 236 citations*](https://md.research.elamur.ai/free/en/papers/polu-2020-generative-language-modeling-automated-theorem/)
2540. [**Document Context Neural Machine Translation with Memory Networks**Sameen Maruf, Gholamreza Haffari*2018 · 236 citations*](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/)
2541. [**Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints**Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.*2017 · 236 citations*](https://md.research.elamur.ai/free/en/papers/mrksic-2017-semantic-specialization-distributional-word-vector/)
2542. [**Cats Rule and Dogs Drool!: Classifying Stance in Online Debate**Pranav Anand, Marilyn Walker, Rob Abbott, et al.*2011 · 236 citations*](https://md.research.elamur.ai/free/en/papers/anand-2011-cats-rule-dogs-drool-classifying/)
2543. [**Event Extraction as Dependency Parsing**David McClosky, Mihai Surdeanu, Christopher Manning*2011 · 236 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2011-event-extraction-as-dependency-parsing/)
2544. [**Prepositional Phrase Attachment through a Backed-off Model**Michael Collins, James Brooks*1995 · 236 citations*](https://md.research.elamur.ai/free/en/papers/collins-1995-prepositional-phrase-attachment-through-backed/)
2545. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
2546. [**FUDGE: Controlled Text Generation With Future Discriminators**Kevin Yang, Dan Klein*2021 · 235 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-fudge-controlled-text-generation-future/)
2547. [**BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization**Eva Sharma, Chen Li, Lu Wang*2019 · 235 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2019-bigpatent-large-scale-dataset-abstractive/)
2548. [**Classical Structured Prediction Losses for Sequence to Sequence Learning**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 235 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/)
2549. [**OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora**Pierre Lison, Jörg Tiedemann, Milen Kouylekov*2018 · 235 citations*](https://md.research.elamur.ai/free/en/papers/lison-2018-opensubtitles2018-statistical-rescoring-sentence-alignments/)
2550. [**Attention-based Multimodal Neural Machine Translation**Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, et al.*2016 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2016-attention-based-multimodal-neural-machine/)
2551. [**Better Document-level Sentiment Analysis from RST Discourse Parsing**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/)
2552. [**YAGO3: A Knowledge Base from Multilingual Wikipedias**Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/mahdisoltani-2015-yago3-knowledge-base-multilingual-wikipedias/)
2553. [**SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge**Myroslava Dzikovska, Rodney Nielsen, Chris Brew, et al.*2013 · 235 citations*](https://md.research.elamur.ai/free/en/papers/dzikovska-2013-semeval-2013-task-7-joint/)
2554. [**Structured Perceptron with Inexact Search**Liang Huang, Suphan Fayong, Yang Guo*2012 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2012-structured-perceptron-inexact-search/)
2555. [**Entropy Rate Constancy in Text**Dmitriy Genzel, Eugene Charniak*2002 · 235 citations*](https://md.research.elamur.ai/free/en/papers/genzel-2002-entropy-rate-constancy-text/)
2556. [**G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering**Xiaoxin He, Yijun Tian, Yifei Sun, et al.*2024 · 234 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)
2557. [**FeTaQA: Free-form Table Question Answering**Linyong Nan, Chiachun Hsieh, Ziming Mao, et al.*2022 · 234 citations*](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/)
2558. [**SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification**Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.*2022 · 234 citations*](https://md.research.elamur.ai/free/en/papers/fersini-2022-semeval-2022-task-5-multimedia/)
2559. [**Self-Guided Contrastive Learning for BERT Sentence Representations**Taeuk Kim, Kang Min Yoo, Sang-goo Lee*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-self-guided-contrastive-learning-bert/)
2560. [**The Importance of Modeling Social Factors of Language: Theory and Practice**Dirk Hovy, Diyi Yang*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/)
2561. [**Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-corpus-creation-sentiment-analysis-code/)
2562. [**Politeness Transfer: A Tag and Generate Approach**Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/madaan-2020-politeness-transfer-tag-generate-approach/)
2563. [**MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension**Alon Talmor, Jonathan Berant*2019 · 234 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2019-multiqa-empirical-investigation-generalization-transfer/)
2564. [**A Study of Reinforcement Learning for Neural Machine Translation**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 234 citations*](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/)
2565. [**Learning to Understand Phrases by Embedding the Dictionary**Felix Hill, Kyunghyun Cho, Anna Korhonen, et al.*2016 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-understand-phrases-embedding-dictionary/)
2566. [**Translationese and Its Dialects**Moshe Koppel, Noam Ordan*2011 · 234 citations*](https://md.research.elamur.ai/free/en/papers/koppel-2011-translationese-its-dialects/)
2567. [**Bayesian Word Sense Induction**Samuel Brody, Mirella Lapata*2009 · 234 citations*](https://md.research.elamur.ai/free/en/papers/brody-2009-bayesian-word-sense-induction/)
2568. [**Simplifying Text for Language-Impaired Readers**John Carroll, Guido Minnen, Darren Pearce, et al.*1999 · 234 citations*](https://md.research.elamur.ai/free/en/papers/carroll-1999-simplifying-text-language-impaired-readers/)
2569. [**Evaluating Open-Domain Question Answering in the Era of Large Language Models**Ehsan Kamalloo, Nouha Dziri, Charles Clarke, et al.*2023 · 233 citations*](https://md.research.elamur.ai/free/en/papers/kamalloo-2023-evaluating-open-domain-question-answering/)
2570. [**CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning**Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.*2022 · 233 citations*](https://md.research.elamur.ai/free/en/papers/das-2022-container-few-shot-named-entity/)
2571. [**Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification**Timo Schick, Helmut Schmid, Hinrich Schütze*2020 · 233 citations*](https://md.research.elamur.ai/free/en/papers/schick-2020-automatically-identifying-words-that-can/)
2572. [**A Discrete Hard EM Approach for Weakly Supervised Question Answering**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 233 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/)
2573. [**Dialog State Tracking: A Neural Reading Comprehension Approach**Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, et al.*2019 · 233 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-dialog-state-tracking-neural-reading/)
2574. [**Decoupling Strategy and Generation in Negotiation Dialogues**He He, Derek Chen, Anusha Balakrishnan, et al.*2018 · 233 citations*](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/)
2575. [**Towards Robust and Privacy-preserving Text Representations**Yitong Li, Timothy Baldwin, Trevor Cohn*2018 · 233 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-robust-privacy-preserving-text-representations/)
2576. [**Commonsense Knowledge Base Completion**Xiang Li, Aynaz Taheri, Lifu Tu, et al.*2016 · 233 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-commonsense-knowledge-base-completion/)
2577. [**Membership Inference Attacks against Machine Learning Models**Reza Shokri, Marco Stronati, Congzheng Song, et al.*2016 · 233 citations*](https://md.research.elamur.ai/free/en/papers/shokri-2016-membership-inference-attacks-against-machine/)
2578. [**Stance Classification of Ideological Debates: Data, Models, Features, and Constraints**Kazi Saidul Hasan, Vincent Ng*2013 · 233 citations*](https://md.research.elamur.ai/free/en/papers/hasan-2013-stance-classification-ideological-debates-data/)
2579. [**An Empirical Study on Compositionality in Compound Nouns**Siva Reddy, Diana McCarthy, Suresh Manandhar*2011 · 233 citations*](https://md.research.elamur.ai/free/en/papers/reddy-2011-empirical-study-compositionality-compound-nouns/)
2580. [**Unsupervised Event Coreference Resolution with Rich Linguistic Features**Cosmin Bejan, Sanda Harabagiu*2010 · 233 citations*](https://md.research.elamur.ai/free/en/papers/bejan-2010-unsupervised-event-coreference-resolution-rich/)
2581. [**Improving Statistical MT through Morphological Analysis**Sharon Goldwater, David McClosky*2005 · 233 citations*](https://md.research.elamur.ai/free/en/papers/goldwater-2005-improving-statistical-mt-through-morphological/)
2582. [**Evaluating Automated and Manual Acquisition of Anaphora Resolution Strategies**Chinatsu Aone, Scott William Bennett*1995 · 233 citations*](https://md.research.elamur.ai/free/en/papers/aone-1995-evaluating-automated-manual-acquisition-anaphora/)
2583. [**Qwen2-Audio Technical Report**Yunfei Chu, Jin Xu, Qian Yang, et al.*2024 · 232 citations*](https://md.research.elamur.ai/free/en/papers/chu-2024-qwen2-audio-technical-report/)
2584. [**Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision**Zhiqing Sun, Yikang Shen, Qinhong Zhou, et al.*2023 · 232 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-principle-driven-self-alignment-language/)
2585. [**Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information**Michele Bevilacqua, Roberto Navigli*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-breaking-through-80-glass-ceiling/)
2586. [**Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders**Terra Blevins, Luke Zettlemoyer*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/)
2587. [**AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets**Marco Polignano, Pierpaolo Basile, Marco de Gemmis, et al.*2019 · 232 citations*](https://md.research.elamur.ai/free/en/papers/polignano-2019-alberto-italian-bert-language-understanding/)
2588. [**Harvesting Paragraph-level Question-Answer Pairs from Wikipedia**Xinya Du, Claire Cardie*2018 · 232 citations*](https://md.research.elamur.ai/free/en/papers/du-2018-harvesting-paragraph-level-question-answer/)
2589. [**A Deep Generative Framework for Paraphrase Generation**Ankush Gupta, Arvind Agarwal, Prawaan Singh, et al.*2017 · 232 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2017-deep-generative-framework-paraphrase-generation/)
2590. [**Better Arabic Parsing: Baselines, Evaluations, and Analysis**Spence Green, Christopher D. Manning*2010 · 232 citations*](https://md.research.elamur.ai/free/en/papers/green-2010-better-arabic-parsing-baselines-evaluations/)
2591. [**Transliteration of Proper Names in Cross-Lingual Information Retrieval**Paola Virga, Sanjeev Khudanpur*2003 · 232 citations*](https://md.research.elamur.ai/free/en/papers/virga-2003-transliteration-proper-names-cross-lingual/)
2592. [**ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning**Petter Tornberg*2023 · 231 citations*](https://md.research.elamur.ai/free/en/papers/tornberg-2023-chatgpt-4-outperforms-experts-crowd/)
2593. [**Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition**Yongliang Shen, Xinyin Ma, Zeqi Tan, et al.*2021 · 231 citations*](https://md.research.elamur.ai/free/en/papers/shen-2021-locate-label-two-stage-identifier/)
2594. [**How Context Affects Language Models' Factual Predictions**Fabio Petroni, Patrick Lewis, Aleksandra Piktus, et al.*2020 · 231 citations*](https://md.research.elamur.ai/free/en/papers/petroni-2020-context-affects-language-models-factual/)
2595. [**Compositional Questions Do Not Necessitate Multi-hop Reasoning**Sewon Min, Eric Wallace, Sameer Singh, et al.*2019 · 231 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/)
2596. [**Linguistic Input Features Improve Neural Machine Translation**Rico Sennrich, Barry Haddow*2016 · 231 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2016-linguistic-input-features-improve-neural/)
2597. [**Overview for the Second Shared Task on Language Identification in Code-Switched Data**Giovanni Molina, Fahad AlGhamdi, Mahmoud Ghoneim, et al.*2016 · 231 citations*](https://md.research.elamur.ai/free/en/papers/molina-2016-overview-second-shared-task-language/)
2598. [**FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance**Lingjiao Chen, Matei Zaharia, James Zou*2023 · 230 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-frugalgpt-use-large-language-models/)
2599. [**Towards Conversational Recommendation over Multi-Type Dialogs**Zeming Liu, Haifeng Wang, Zheng-Yu Niu, et al.*2020 · 230 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-conversational-recommendation-over-multi-type/)
2600. [**Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation**Amit Moryossef, Yoav Goldberg, Ido Dagan*2019 · 230 citations*](https://md.research.elamur.ai/free/en/papers/moryossef-2019-step-step-separating-planning-realization/)
2601. [**From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood**Kelvin Guu, Panupong Pasupat, Evan Liu, et al.*2017 · 230 citations*](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/)
2602. [**SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)**Wei Xu, Chris Callison-Burch, Bill Dolan*2015 · 230 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/)
2603. [**Sarcasm Detection on Czech and English Twitter**Tomáš Ptáček, Ivan Habernal, Jun Hong*2014 · 230 citations*](https://md.research.elamur.ai/free/en/papers/ptacek-2014-sarcasm-detection-czech-english-twitter/)
2604. [**Adaptation of the translation model for statistical machine translation based on information retrieval**Almut Silja Hildebrand, Matthias Eck, Stephan Vogel, et al.*2005 · 230 citations*](https://md.research.elamur.ai/free/en/papers/hildebrand-2005-adaptation-translation-model-statistical-machine/)
2605. [**A Corpus-Based Approach for Building Semantic Lexicons**Ellen Riloff, Jessica Shepherd*1997 · 230 citations*](https://md.research.elamur.ai/free/en/papers/riloff-1997-corpus-based-approach-building-semantic/)
2606. [**Detecting Hallucinated Content in Conditional Neural Sequence Generation**Chunting Zhou, Graham Neubig, Jiatao Gu, et al.*2021 · 229 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/)
2607. [**Hurdles to Progress in Long-form Question Answering**Kalpesh Krishna, Aurko Roy, Mohit Iyyer*2021 · 229 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2021-hurdles-progress-long-form-question/)
2608. [**CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs**Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, et al.*2020 · 229 citations*](https://md.research.elamur.ai/free/en/papers/kishky-2020-ccaligned-massive-collection-cross-lingual/)
2609. [**Commonsense for Generative Multi-Hop Question Answering Tasks**Lisa Bauer, Yicheng Wang, Mohit Bansal*2018 · 229 citations*](https://md.research.elamur.ai/free/en/papers/bauer-2018-commonsense-generative-multi-hop-question/)
2610. [**Cross-topic Argument Mining from Heterogeneous Sources**Christian Stab, Tristan Miller, Benjamin Schiller, et al.*2018 · 229 citations*](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/)
2611. [**Edit Detection and Parsing for Transcribed Speech**Eugene Charniak, Mark Johnson*2001 · 229 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2001-edit-detection-parsing-transcribed-speech/)
2612. [**The ARPA MT Evaluation Methodologies: Evolution, Lessons, and Future Approaches**John S. White, Theresa A. O'Connell, Francis E. O'Mara*1994 · 229 citations*](https://md.research.elamur.ai/free/en/papers/white-1994-arpa-mt-evaluation-methodologies-evolution/)
2613. [**Two Languages Are More Informative Than One**Ido Dagan, Alon Itai, Ulrike Schwall*1991 · 229 citations*](https://md.research.elamur.ai/free/en/papers/dagan-1991-two-languages-are-more-informative/)
2614. [**OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments**Tianbao Xie, Danyang Zhang, Jixuan Chen, et al.*2024 · 228 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/)
2615. [**Open-Domain Question Answering Goes Conversational via Question Rewriting**Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.*2021 · 228 citations*](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/)
2616. [**End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2**Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, et al.*2020 · 228 citations*](https://md.research.elamur.ai/free/en/papers/ham-2020-end-end-neural-pipeline-goal/)
2617. [**Understanding the Difficulty of Training Transformers**Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.*2020 · 228 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-understanding-difficulty-training-transformers/)
2618. [**Neural Machine Translation with Byte-Level Subwords**Changhan Wang, Kyunghyun Cho, Jiatao Gu*2019 · 228 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-neural-machine-translation-byte-level/)
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