---
title: "Computer Science — papers, page 32 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 32 of 92 · 3026–3125, the most cited first — our summary of each, its…"
canonical: "https://research.elamur.ai/free/en/shelves/computer-science/page/32/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/page/32/)

[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 32

# 🖥️ Computer Science

9,085 papers · page 32 of 92 · 3026–3125 · 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/31/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/page/30/) [31](https://md.research.elamur.ai/free/en/shelves/computer-science/page/31/) **32** [33](https://md.research.elamur.ai/free/en/shelves/computer-science/page/33/) … [40](https://md.research.elamur.ai/free/en/shelves/computer-science/page/40/) … [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/33/)

3026. [**Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora**Marcin Junczys-Dowmunt*2018 · 200 citations*](https://md.research.elamur.ai/free/en/papers/dowmunt-2018-dual-conditional-cross-entropy-filtering/)
3027. [**End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification**Jindřich Libovický, Jindřich Helcl*2018 · 200 citations*](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/)
3028. [**Instance Weighting for Neural Machine Translation Domain Adaptation**Rui Wang, Masao Utiyama, Lemao Liu, et al.*2017 · 200 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-instance-weighting-neural-machine-translation/)
3029. [**Neural Network-Based Abstract Generation for Opinions and Arguments**Lu Wang, Wang Ling*2016 · 200 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-neural-network-based-abstract-generation/)
3030. [**Using Universal Linguistic Knowledge to Guide Grammar Induction**Tahira Naseem, Harr Chen, Regina Barzilay, et al.*2010 · 200 citations*](https://md.research.elamur.ai/free/en/papers/naseem-2010-universal-linguistic-knowledge-guide-grammar/)
3031. [**Improving Statistical Machine Translation Performance by Training Data Selection and Optimization**Yajuan Lü, Jin Huang, Qun Liu*2007 · 200 citations*](https://md.research.elamur.ai/free/en/papers/lu-2007-improving-statistical-machine-translation-performance/)
3032. [**LinGO Redwoods: A Rich and Dynamic Treebank for HPSG**Stephan Oepen, Dan Flickinger, Kristina Toutanova, et al.*2004 · 200 citations*](https://md.research.elamur.ai/free/en/papers/oepen-2004-lingo-redwoods-rich-dynamic-treebank/)
3033. [**Aligning Large Language Models with Human: A Survey**Yufei Wang, Wanjun Zhong, Liangyou Li, et al.*2023 · 199 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-aligning-large-language-models-human/)
3034. [**Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2**Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.*2023 · 199 citations*](https://md.research.elamur.ai/free/en/papers/ivison-2023-camels-changing-climate-enhancing-lm/)
3035. [**SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check**Xingyi Cheng, Weidi Xu, Kunlong Chen, et al.*2020 · 199 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2020-spellgcn-incorporating-phonological-visual-similarities/)
3036. [**We Can Detect Your Bias: Predicting the Political Ideology of News Articles**Ramy Baly, Giovanni Da San Martino, James Glass, et al.*2020 · 199 citations*](https://md.research.elamur.ai/free/en/papers/baly-2020-we-can-detect-your-bias/)
3037. [**Jointly Learning to Align and Translate with Transformer Models**Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.*2019 · 199 citations*](https://md.research.elamur.ai/free/en/papers/garg-2019-jointly-learning-align-translate-transformer/)
3038. [**Denoising Distantly Supervised Open-Domain Question Answering**Yankai Lin, Haozhe Ji, Zhiyuan Liu, et al.*2018 · 199 citations*](https://md.research.elamur.ai/free/en/papers/lin-2018-denoising-distantly-supervised-open-domain/)
3039. [**Semi-Supervised Recognition of Sarcasm in Twitter and Amazon**Dmitry Davidov, Oren Tsur, Ari Rappoport*2010 · 199 citations*](https://md.research.elamur.ai/free/en/papers/davidov-2010-semi-supervised-recognition-sarcasm-twitter/)
3040. [**Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art**Veselin Stoyanov, Nathan Gilbert, Claire Cardie, et al.*2009 · 199 citations*](https://md.research.elamur.ai/free/en/papers/stoyanov-2009-conundrums-noun-phrase-coreference-resolution/)
3041. [**Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset**Ke Wang, Junting Pan, Weikang Shi, et al.*2024 · 198 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-measuring-multimodal-mathematical-reasoning-math/)
3042. [**Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias**Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al.*2023 · 198 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-large-language-model-attributed-training/)
3043. [**Measuring Attribution in Natural Language Generation Models**Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, et al.*2023 · 198 citations*](https://md.research.elamur.ai/free/en/papers/rashkin-2023-measuring-attribution-natural-language-generation/)
3044. [**Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs**Suyu Ge, Yunan Zhang, Liyuan Liu, et al.*2023 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ge-2023-model-tells-discard-adaptive-kv/)
3045. [**Toxicity Detection: Does Context Really Matter?**John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, et al.*2020 · 198 citations*](https://md.research.elamur.ai/free/en/papers/pavlopoulos-2020-toxicity-detection-does-context-really/)
3046. [**Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting**J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.*2019 · 198 citations*](https://md.research.elamur.ai/free/en/papers/hu-2019-improved-lexically-constrained-decoding-translation/)
3047. [**On NMT Search Errors and Model Errors: Cat Got Your Tongue?**Felix Stahlberg, Bill Byrne*2019 · 198 citations*](https://md.research.elamur.ai/free/en/papers/stahlberg-2019-nmt-search-errors-model-errors/)
3048. [**Neural Metaphor Detection in Context**Ge Gao, Eunsol Choi, Yejin Choi, et al.*2018 · 198 citations*](https://md.research.elamur.ai/free/en/papers/gao-2018-neural-metaphor-detection-context/)
3049. [**Efficient softmax approximation for GPUs**Edouard Grave, Armand Joulin, Moustapha Cisse, et al.*2016 · 198 citations*](https://md.research.elamur.ai/free/en/papers/grave-2016-efficient-softmax-approximation-gpus/)
3050. [**Reasoning about Pragmatics with Neural Listeners and Speakers**Jacob Andreas, Dan Klein*2016 · 198 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2016-reasoning-about-pragmatics-neural-listeners/)
3051. [**One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/)
3052. [**Learning a Lexical Simplifier Using Wikipedia**Colby Horn, Cathryn Manduca, David Kauchak*2014 · 198 citations*](https://md.research.elamur.ai/free/en/papers/horn-2014-learning-lexical-simplifier-wikipedia/)
3053. [***SEM 2012 Shared Task: Resolving the Scope and Focus of Negation**Roser Morante, Eduardo Blanco*2012 · 198 citations*](https://md.research.elamur.ai/free/en/papers/morante-2012-sem-2012-shared-task-resolving/)
3054. [**Dependency Parsing by Belief Propagation**David Smith, Jason Eisner*2008 · 198 citations*](https://md.research.elamur.ai/free/en/papers/smith-2008-dependency-parsing-belief-propagation/)
3055. [**Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity**Julie Weeds, David Weir*2005 · 198 citations*](https://md.research.elamur.ai/free/en/papers/weeds-2005-co-occurrence-retrieval-flexible-framework/)
3056. [**A General Framework for Distributional Similarity**Julie Weeds, David Weir*2003 · 198 citations*](https://md.research.elamur.ai/free/en/papers/weeds-2003-general-framework-distributional-similarity/)
3057. [**Noun Phrase Coreference as Clustering**Claire Cardie, Kiri Wagstaff*1999 · 198 citations*](https://md.research.elamur.ai/free/en/papers/cardie-1999-noun-phrase-coreference-as-clustering/)
3058. [**MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention**Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.*2024 · 197 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-minference-1-0-accelerating-pre/)
3059. [**Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference**Jiaming Tang, Yilong Zhao, Kan Zhu, et al.*2024 · 197 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-quest-query-aware-sparsity-efficient/)
3060. [**ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search**Dan Zhang, Sining Zhoubian, Ziniu Hu, et al.*2024 · 197 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-rest-mcts-llm-self-training/)
3061. [**Prompt Injection attack against LLM-integrated Applications**Yi Liu; Gelei Deng; Yuekang Li; Kailong Wang; Zihao Wang; Xiaofeng Wang; Tianwei Zhang; Yepang Liu; Haoyu Wang; Yan Zheng; Leo Yu Zhang;, Yang Liu*2023 · 197 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-prompt-injection-attack-against-llm/)
3062. [**Scalable Extraction of Training Data from (Production) Language Models**Milad Nasr, Nicholas Carlini, Jonathan Hayase, et al.*2023 · 197 citations*](https://md.research.elamur.ai/free/en/papers/nasr-2023-scalable-extraction-training-data-production/)
3063. [**Improving Passage Retrieval with Zero-Shot Question Generation**Devendra Sachan, Mike Lewis, Mandar Joshi, et al.*2022 · 197 citations*](https://md.research.elamur.ai/free/en/papers/sachan-2022-improving-passage-retrieval-zero-shot/)
3064. [**Block Pruning For Faster Transformers**François Lagunas, Ella Charlaix, Victor Sanh, et al.*2021 · 197 citations*](https://md.research.elamur.ai/free/en/papers/lagunas-2021-block-pruning-faster-transformers/)
3065. [**Multimodal Transformer for Multimodal Machine Translation**Shaowei Yao, Xiaojun Wan*2020 · 197 citations*](https://md.research.elamur.ai/free/en/papers/yao-2020-multimodal-transformer-multimodal-machine-translation/)
3066. [**Structured Pruning of Large Language Models**Ziheng Wang, Jeremy Wohlwend, Tao Lei*2020 · 197 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-structured-pruning-large-language-models/)
3067. [**Mazajak: An Online Arabic Sentiment Analyser**Ibrahim Abu Farha, Walid Magdy*2019 · 197 citations*](https://md.research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/)
3068. [**Statistical Metaphor Processing**Ekaterina Shutova, Simone Teufel, Anna Korhonen*2013 · 197 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2013-statistical-metaphor-processing/)
3069. [**Anaphoric Annotation in the ARRAU Corpus**Massimo Poesio, Ron Artstein*2008 · 197 citations*](https://md.research.elamur.ai/free/en/papers/poesio-2008-anaphoric-annotation-arrau-corpus/)
3070. [**BART: A Modular Toolkit for Coreference Resolution**Yannick Versley, Simone Paolo Ponzetto, Massimo Poesio, et al.*2008 · 197 citations*](https://md.research.elamur.ai/free/en/papers/versley-2008-bart-modular-toolkit-coreference-resolution/)
3071. [**Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information**Sonja Nießen, Hermann Ney*2004 · 197 citations*](https://md.research.elamur.ai/free/en/papers/niessen-2004-statistical-machine-translation-scarce-resources/)
3072. [**Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?**Yang Yue, Zhiqi Chen, Rui Lu, et al.*2025 · 196 citations*](https://md.research.elamur.ai/free/en/papers/yue-2025-reinforcement-learning-really-incentivize-reasoning/)
3073. [**MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text**Wenhu Chen, Hexiang Hu, Xi Chen, et al.*2022 · 196 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-murag-multimodal-retrieval-augmented-generator/)
3074. [**The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning**Xi Ye, Greg Durrett*2022 · 196 citations*](https://md.research.elamur.ai/free/en/papers/ye-2022-unreliability-explanations-few-shot-prompting/)
3075. [**COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining**Yu Meng, Chenyan Xiong, Payal Bajaj, et al.*2021 · 196 citations*](https://md.research.elamur.ai/free/en/papers/meng-2021-coco-lm-correcting-contrasting-text/)
3076. [**Authorship Attribution for Neural Text Generation**Adaku Uchendu, Thai Le, Kai Shu, et al.*2020 · 196 citations*](https://md.research.elamur.ai/free/en/papers/uchendu-2020-authorship-attribution-neural-text-generation/)
3077. [**Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem**Danielle Saunders, Bill Byrne*2020 · 196 citations*](https://md.research.elamur.ai/free/en/papers/saunders-2020-reducing-gender-bias-neural-machine/)
3078. [**Compound Probabilistic Context-Free Grammars for Grammar Induction**Yoon Kim, Chris Dyer, Alexander Rush*2019 · 196 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/)
3079. [**Design Challenges and Misconceptions in Neural Sequence Labeling**Jie Yang, Shuailong Liang, Yue Zhang*2018 · 196 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-design-challenges-misconceptions-neural-sequence/)
3080. [**Efficient and Robust Question Answering from Minimal Context over Documents**Sewon Min, Victor Zhong, Richard Socher, et al.*2018 · 196 citations*](https://md.research.elamur.ai/free/en/papers/min-2018-efficient-robust-question-answering-minimal/)
3081. [**Retrieval of the Best Counterargument without Prior Topic Knowledge**Henning Wachsmuth, Shahbaz Syed, Benno Stein*2018 · 196 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2018-retrieval-best-counterargument-without-prior/)
3082. [**Hafez: an Interactive Poetry Generation System**Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi, et al.*2017 · 196 citations*](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2017-hafez-interactive-poetry-generation-system/)
3083. [**Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation**Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, et al.*2017 · 196 citations*](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2017-image-grounded-conversations-multimodal-context/)
3084. [**A broad-coverage collection of portable NLP components for building shareable analysis pipelines**Richard Eckart de Castilho, Iryna Gurevych*2014 · 196 citations*](https://md.research.elamur.ai/free/en/papers/castilho-2014-broad-coverage-collection-portable-nlp/)
3085. [**Creating a massively parallel Bible corpus**Thomas Mayer, Michael Cysouw*2014 · 196 citations*](https://md.research.elamur.ai/free/en/papers/mayer-2014-creating-massively-parallel-bible-corpus/)
3086. [**Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)**Byron C. Wallace, Do Kook Choe, Laura Kertz, et al.*2014 · 196 citations*](https://md.research.elamur.ai/free/en/papers/wallace-2014-humans-require-context-infer-ironic/)
3087. [**Paraphrasing for Style**Wei Xu, Alan Ritter, Bill Dolan, et al.*2012 · 196 citations*](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/)
3088. [**Learning to Simplify Sentences Using Wikipedia**Will Coster, David Kauchak*2011 · 196 citations*](https://md.research.elamur.ai/free/en/papers/coster-2011-learning-simplify-sentences-wikipedia/)
3089. [**Maximum Entropy Based Restoration of Arabic Diacritics**Imed Zitouni, Jeffrey S. Sorensen, Ruhi Sarikaya*2006 · 196 citations*](https://md.research.elamur.ai/free/en/papers/zitouni-2006-maximum-entropy-based-restoration-arabic/)
3090. [**InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models**Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.*2025 · 195 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2025-internvl3-exploring-advanced-training/)
3091. [**DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence**DeepSeek-AI, Qihao Zhu, Daya Guo, et al.*2024 · 195 citations*](https://md.research.elamur.ai/free/en/papers/deepseek-ai-2024-deepseek-coder-v2-breaking-barrier/)
3092. [**Towards Faithful Model Explanation in NLP: A Survey**Qing Lyu, Marianna Apidianaki, Chris Callison-Burch*2024 · 195 citations*](https://md.research.elamur.ai/free/en/papers/lyu-2024-faithful-model-explanation-nlp-survey/)
3093. [**What matters when building vision-language models?**Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.*2024 · 195 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2024-matters-building-vision-language-models/)
3094. [**Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic**Keqin Chen, Zhao Zhang, Weili Zeng, et al.*2023 · 195 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-shikra-unleashing-multimodal-llm-s/)
3095. [**Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning**Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, et al.*2022 · 195 citations*](https://md.research.elamur.ai/free/en/papers/alabi-2022-adapting-pre-trained-language-models/)
3096. [**Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering**Or Honovich, Leshem Choshen, Roee Aharoni, et al.*2021 · 195 citations*](https://md.research.elamur.ai/free/en/papers/honovich-2021-q-2-evaluating-factual-consistency/)
3097. [**Generative Data Augmentation for Commonsense Reasoning**Yiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.*2020 · 195 citations*](https://md.research.elamur.ai/free/en/papers/yang-2020-generative-data-augmentation-commonsense-reasoning/)
3098. [**Results of the WMT20 Metrics Shared Task**Nitika Mathur, Johnny Wei, Markus Freitag, et al.*2020 · 195 citations*](https://md.research.elamur.ai/free/en/papers/mathur-2020-results-wmt20-metrics-shared-task/)
3099. [**Multilingual Projection for Parsing Truly Low-Resource Languages**Željko Agić, Anders Johannsen, Barbara Plank, et al.*2016 · 195 citations*](https://md.research.elamur.ai/free/en/papers/agic-2016-multilingual-projection-parsing-truly-low/)
3100. [**A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics**Ehud Aharoni, Anatoly Polnarov, Tamar Lavee, et al.*2014 · 195 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2014-benchmark-dataset-automatic-detection-claims/)
3101. [**Report on the 11th IWSLT evaluation campaign**Mauro Cettolo, Jan Niehues, Sebastian Stüker, et al.*2014 · 195 citations*](https://md.research.elamur.ai/free/en/papers/cettolo-2014-report-11th-iwslt-evaluation-campaign/)
3102. [**SemEval-2010 Task 14: Word Sense Induction &Disambiguation**Suresh Manandhar, Ioannis Klapaftis, Dmitriy Dligach, et al.*2010 · 195 citations*](https://md.research.elamur.ai/free/en/papers/manandhar-2010-semeval-2010-task-14-word/)
3103. [**InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction**Xiao Wang, Weikang Zhou, Can Zu, et al.*2023 · 194 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-instructuie-multi-task-instruction-tuning/)
3104. [**Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback**Viet Lai, Chien Nguyen, Nghia Ngo, et al.*2023 · 194 citations*](https://md.research.elamur.ai/free/en/papers/lai-2023-okapi-instruction-tuned-large-language/)
3105. [**RRHF: Rank Responses to Align Language Models with Human Feedback without tears**Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.*2023 · 194 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2023-rrhf-rank-responses-align-language/)
3106. [**End-to-End Slot Alignment and Recognition for Cross-Lingual NLU**Weijia Xu, Batool Haider, Saab Mansour*2020 · 194 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-end-end-slot-alignment-recognition/)
3107. [**The Right Tool for the Job: Matching Model and Instance Complexities**Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.*2020 · 194 citations*](https://md.research.elamur.ai/free/en/papers/schwartz-2020-right-tool-job-matching-model/)
3108. [**The emergence of number and syntax units in LSTM language models**Yair Lakretz, German Kruszewski, Theo Desbordes, et al.*2019 · 194 citations*](https://md.research.elamur.ai/free/en/papers/lakretz-2019-emergence-number-syntax-units-lstm/)
3109. [**Where is Your Evidence: Improving Fact-checking by Justification Modeling**Tariq Alhindi, Savvas Petridis, Smaranda Muresan*2018 · 194 citations*](https://md.research.elamur.ai/free/en/papers/alhindi-2018-where-is-your-evidence-improving/)
3110. [**First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests**Zhifei Li, Jason Eisner*2009 · 194 citations*](https://md.research.elamur.ai/free/en/papers/li-2009-first-second-order-expectation-semirings/)
3111. [**Making Retrieval-Augmented Language Models Robust to Irrelevant Context**Ori Yoran, Tomer Wolfson, Ori Ram, et al.*2023 · 193 citations*](https://md.research.elamur.ai/free/en/papers/yoran-2023-making-retrieval-augmented-language-models/)
3112. [**OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models**Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, et al.*2023 · 193 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-omniquant-omnidirectionally-calibrated-quantization-large/)
3113. [**That is a Known Lie: Detecting Previously Fact-Checked Claims**Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, et al.*2020 · 193 citations*](https://md.research.elamur.ai/free/en/papers/shaar-2020-that-is-known-lie-detecting/)
3114. [**What Can We Learn from Collective Human Opinions on Natural Language Inference Data?**Yixin Nie, Xiang Zhou, Mohit Bansal*2020 · 193 citations*](https://md.research.elamur.ai/free/en/papers/nie-2020-what-can-we-learn-collective/)
3115. [**Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning**Zhijiang Guo, Yan Zhang, Zhiyang Teng, et al.*2019 · 193 citations*](https://md.research.elamur.ai/free/en/papers/guo-2019-densely-connected-graph-convolutional-networks/)
3116. [**Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection**Jian Ni, Georgiana Dinu, Radu Florian*2017 · 193 citations*](https://md.research.elamur.ai/free/en/papers/ni-2017-weakly-supervised-cross-lingual-named/)
3117. [**Bootstrapping Path-Based Pronoun Resolution**Shane Bergsma, Dekang Lin*2006 · 193 citations*](https://md.research.elamur.ai/free/en/papers/bergsma-2006-bootstrapping-path-based-pronoun-resolution/)
3118. [**LLM in a flash: Efficient Large Language Model Inference with Limited Memory**Keivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko, et al.*2024 · 192 citations*](https://md.research.elamur.ai/free/en/papers/alizadeh-2024-llm-flash-efficient-large-language/)
3119. [**MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning**Jun Chen, Deyao Zhu, Xiaoqian Shen, et al.*2023 · 192 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-minigpt-v2-large-language-model/)
3120. [**PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization**Yidong Wang, Zhuohao Yu, Zhengran Zeng, et al.*2023 · 192 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-pandalm-automatic-evaluation-benchmark-llm/)
3121. [**Exploring and Predicting Transferability across NLP Tasks**Tu Vu, Tong Wang, Tsendsuren Munkhdalai, et al.*2020 · 192 citations*](https://md.research.elamur.ai/free/en/papers/vu-2020-exploring-predicting-transferability-across-nlp/)
3122. [**Unsupervised Question Answering by Cloze Translation**Patrick Lewis, Ludovic Denoyer, Sebastian Riedel*2019 · 192 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2019-unsupervised-question-answering-cloze-translation/)
3123. [**Fine-Grained Arabic Dialect Identification**Mohammad Salameh, Houda Bouamor, Nizar Habash*2018 · 192 citations*](https://md.research.elamur.ai/free/en/papers/salameh-2018-fine-grained-arabic-dialect-identification/)
3124. [**Graph Convolutional Encoders for Syntax-aware Neural Machine Translation**Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.*2017 · 192 citations*](https://md.research.elamur.ai/free/en/papers/bastings-2017-graph-convolutional-encoders-syntax-aware/)
3125. [**Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder**Huadong Chen, Shujian Huang, David Chiang, et al.*2017 · 192 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-improved-neural-machine-translation-syntax/)

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/page/31/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/page/30/) [31](https://md.research.elamur.ai/free/en/shelves/computer-science/page/31/) **32** [33](https://md.research.elamur.ai/free/en/shelves/computer-science/page/33/) … [40](https://md.research.elamur.ai/free/en/shelves/computer-science/page/40/) … [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/33/)