--- title: "Computer Science — papers, page 39 — Elamur Research" description: "Computer Science: 9,085 papers of the Elamur Research library · page 39 of 92 · 3726–3825, the most cited first — our summary of each, its…" canonical: "https://research.elamur.ai/free/en/shelves/computer-science/page/39/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/page/39/) [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 39 # 🖥️ Computer Science 9,085 papers · page 39 of 92 · 3726–3825 · 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/38/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/) … [30](https://md.research.elamur.ai/free/en/shelves/computer-science/page/30/) … [38](https://md.research.elamur.ai/free/en/shelves/computer-science/page/38/) **39** [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/40/) 3726. [**MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/) 3727. [**ProsocialDialog: A Prosocial Backbone for Conversational Agents**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/) 3728. [**Investigating Pretrained Language Models for Graph-to-Text Generation**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/) 3729. [**Pre-Training BERT on Arabic Tweets: Practical Considerations**Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al.*2021 · 150 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/) 3730. [**Generation-Augmented Retrieval for Open-domain Question Answering**Yuning Mao, Pengcheng He, Xiaodong Liu, et al.*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/mao-2020-generation-augmented-retrieval-open-domain/) 3731. [**INFOTABS: Inference on Tables as Semi-structured Data**Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, et al.*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2020-infotabs-inference-tables-as-semi/) 3732. [**Speech Translation and the End-to-End Promise: Taking Stock of Where We Are**Matthias Sperber, Matthias Paulik*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/sperber-2020-speech-translation-end-end-promise/) 3733. [**Statistical Power and Translationese in Machine Translation Evaluation**Yvette Graham, Barry Haddow, Philipp Koehn*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/) 3734. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/) 3735. [**Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks**Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos*2019 · 150 citations*](https://md.research.elamur.ai/free/en/papers/dou-2019-investigating-meta-learning-algorithms-low/) 3736. [**Overview of the IWSLT 2017 Evaluation Campaign**Mauro Cettolo, Marcello Federico, Luisa Bentivogli, et al.*2017 · 150 citations*](https://md.research.elamur.ai/free/en/papers/cettolo-2017-overview-iwslt-2017-evaluation-campaign/) 3737. [**Regularization techniques for fine-tuning in neural machine translation**Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, et al.*2017 · 150 citations*](https://md.research.elamur.ai/free/en/papers/barone-2017-regularization-techniques-fine-tuning-neural/) 3738. [**Discourse Parsing with Attention-based Hierarchical Neural Networks**Qi Li, Tianshi Li, Baobao Chang*2016 · 150 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-discourse-parsing-attention-based-hierarchical/) 3739. [**Computation of the Probability of Initial Substring Generation by Stochastic Context-Free Grammars**Frederick Jelinek, John D. Lafferty*1991 · 150 citations*](https://md.research.elamur.ai/free/en/papers/jelinek-1991-computation-probability-initial-substring-generation/) 3740. [**Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models**Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.*2024 · 149 citations*](https://md.research.elamur.ai/free/en/papers/yu-2024-chain-note-enhancing-robustness-retrieval/) 3741. [**OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models**Changhun Lee, Jungyu Jin, Taesu Kim, et al.*2023 · 149 citations*](https://md.research.elamur.ai/free/en/papers/lee-2023-owq-outlier-aware-weight-quantization/) 3742. [**SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models**Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.*2023 · 149 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-scibench-evaluating-college-level-scientific/) 3743. [**HyperTree Proof Search for Neural Theorem Proving**Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/lample-2022-hypertree-proof-search-neural-theorem/) 3744. [**ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning**Olga Golovneva, Moya Chen, Spencer Poff, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/golovneva-2022-roscoe-suite-metrics-scoring-step/) 3745. [**BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data**Haoyu Song, Yan Wang, Kaiyan Zhang, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/song-2021-bob-bert-over-bert-training/) 3746. [**Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection**Sihao Chen, Fan Zhang, Kazoo Sone, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-improving-faithfulness-abstractive-summarization-contrast/) 3747. [**Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding**Nouha Dziri, Andrea Madotto, Osmar Zaïane, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2021-neural-path-hunter-reducing-hallucination/) 3748. [**CPM: A Large-scale Generative Chinese Pre-trained Language Model**Zhengyan Zhang, Xu Han, Hao Zhou, et al.*2020 · 149 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-cpm-large-scale-generative/) 3749. [**The Effect of Translationese in Machine Translation Test Sets**Mike Zhang, Antonio Toral*2019 · 149 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-effect-translationese-machine-translation-test/) 3750. [**Identifying Causal Relations Using Parallel Wikipedia Articles**Christopher Hidey, Kathy McKeown*2016 · 149 citations*](https://md.research.elamur.ai/free/en/papers/hidey-2016-identifying-causal-relations-parallel-wikipedia/) 3751. [**Adding Noun Phrase Structure to the Penn Treebank**David Vadas, James Curran*2007 · 149 citations*](https://md.research.elamur.ai/free/en/papers/vadas-2007-adding-noun-phrase-structure-penn/) 3752. [**A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue**Michael Strube, Christoph Müller*2003 · 149 citations*](https://md.research.elamur.ai/free/en/papers/strube-2003-machine-learning-approach-pronoun-resolution/) 3753. [**SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild**Weihao Zeng, Yuzhen Huang, Qian Liu, et al.*2025 · 148 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2025-simplerl-zoo-investigating-taming-zero/) 3754. [**Language Model Behavior: A Comprehensive Survey**Tyler A. Chang, Benjamin K. Bergen*2024 · 148 citations*](https://md.research.elamur.ai/free/en/papers/chang-2024-language-model-behavior-comprehensive-survey/) 3755. [**MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages**Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.*2023 · 148 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-miracl-multilingual-retrieval-dataset-covering/) 3756. [**Measure and Improve Robustness in NLP Models: A Survey**Xuezhi Wang, Haohan Wang, Diyi Yang*2022 · 148 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/) 3757. [**Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary**Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth*2021 · 148 citations*](https://md.research.elamur.ai/free/en/papers/deutsch-2021-question-answering-as-automatic-metric/) 3758. [**Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation**Fahim Dalvi, Nadir Durrani, Hassan Sajjad, et al.*2018 · 148 citations*](https://md.research.elamur.ai/free/en/papers/dalvi-2018-incremental-decoding-training-methods-simultaneous/) 3759. [**HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) 3760. [**Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings**Ondřej Dušek, Filip Jurčíček*2016 · 148 citations*](https://md.research.elamur.ai/free/en/papers/dusek-2016-sequence-sequence-generation-spoken-dialogue/) 3761. [**Varieties of update**Sarah E Murray*2014 · 148 citations*](https://md.research.elamur.ai/free/en/papers/murray-2014-varieties-update/) 3762. [**Process Reinforcement through Implicit Rewards**Ganqu Cui, Lifan Yuan, Zefan Wang, et al.*2025 · 147 citations*](https://md.research.elamur.ai/free/en/papers/cui-2025-process-reinforcement-through-implicit-rewards/) 3763. [**BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages**Junho Myung, Nayeon Lee, Yi Zhou, et al.*2024 · 147 citations*](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/) 3764. [**CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges**Kechi Zhang, Jia Li, Ge Li, et al.*2024 · 147 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-codeagent-enhancing-code-generation-tool/) 3765. [**Measuring short-form factuality in large language models**Jason Wei, Nguyen Karina, Hyung Won Chung, et al.*2024 · 147 citations*](https://md.research.elamur.ai/free/en/papers/wei-2024-measuring-short-form-factuality-large/) 3766. [**Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation**Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/mosbach-2023-few-shot-fine-tuning-vs/) 3767. [**Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation**Nuno M. Guerreiro, Elena Voita, André Martins*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/) 3768. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 147 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/) 3769. [**Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders**Fangyu Liu, Ivan Vulić, Anna Korhonen, et al.*2021 · 147 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-fast-effective-self-supervised-transforming/) 3770. [**Introducing CAD: the Contextual Abuse Dataset**Bertie Vidgen, Dong Nguyen, Helen Margetts, et al.*2021 · 147 citations*](https://md.research.elamur.ai/free/en/papers/vidgen-2021-introducing-cad-contextual-abuse-dataset/) 3771. [**Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles**Yao Lu, Yue Dong, Laurent Charlin*2020 · 147 citations*](https://md.research.elamur.ai/free/en/papers/lu-2020-multi-xscience-large-scale-dataset/) 3772. [**OCNLI: Original Chinese Natural Language Inference**Hai Hu, Kyle Richardson, Liang Xu, et al.*2020 · 147 citations*](https://md.research.elamur.ai/free/en/papers/hu-2020-ocnli-original-chinese-natural/) 3773. [**A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking**Andreas Hanselowski, Christian Stab, Claudia Schulz, et al.*2019 · 147 citations*](https://md.research.elamur.ai/free/en/papers/hanselowski-2019-richly-annotated-corpus-different-tasks/) 3774. [**Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems**Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, et al.*2019 · 147 citations*](https://md.research.elamur.ai/free/en/papers/eger-2019-text-processing-like-humans-do/) 3775. [**Are All Languages Equally Hard to Language-Model?**Ryan Cotterell, Sabrina J. Mielke, Jason Eisner, et al.*2018 · 147 citations*](https://md.research.elamur.ai/free/en/papers/cotterell-2018-are-all-languages-equally-hard/) 3776. [**Do latent tree learning models identify meaningful structure in sentences?**Adina Williams, Andrew Drozdov, Samuel R. Bowman*2018 · 147 citations*](https://md.research.elamur.ai/free/en/papers/williams-2018-do-latent-tree-learning-models/) 3777. [**Neural Models for Reasoning over Multiple Mentions Using Coreference**Bhuwan Dhingra, Qiao Jin, Zhilin Yang, et al.*2018 · 147 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2018-neural-models-reasoning-over-multiple/) 3778. [**How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs**Rico Sennrich*2017 · 147 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-how-grammatical-is-character-level/) 3779. [**Neural Net Models of Open-domain Discourse Coherence**Jiwei Li, Dan Jurafsky*2017 · 147 citations*](https://md.research.elamur.ai/free/en/papers/li-2017-neural-net-models-open-domain/) 3780. [**NaturalLI: Natural Logic Inference for Common Sense Reasoning**Gabor Angeli, Christopher D. Manning*2014 · 147 citations*](https://md.research.elamur.ai/free/en/papers/angeli-2014-naturalli-natural-logic-inference-common/) 3781. [**Evaluating Machine Translation Output with Automatic Sentence Segmentation**Evgeny Matusov, Gregor Leusch, Oliver Bender, et al.*2005 · 147 citations*](https://md.research.elamur.ai/free/en/papers/matusov-2005-evaluating-machine-translation-output-automatic/) 3782. [**Structural Ambiguity and Lexical Relations**Donald Hindle, Mats Rooth*1993 · 147 citations*](https://md.research.elamur.ai/free/en/papers/hindle-1993-structural-ambiguity-lexical-relations/) 3783. [**rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking**Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.*2025 · 146 citations*](https://md.research.elamur.ai/free/en/papers/guan-2025-rstar-math-small-llms-can/) 3784. [**Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**Jun Zhang, Jue Wang, Huan Li, et al.*2024 · 146 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-draft-verify-lossless-large-language/) 3785. [**Fact-Checking Complex Claims with Program-Guided Reasoning**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 146 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/) 3786. [**Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature**Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.*2023 · 146 citations*](https://md.research.elamur.ai/free/en/papers/bao-2023-fast-detectgpt-efficient-zero-shot/) 3787. [**Text Embeddings Reveal (Almost) As Much As Text**John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.*2023 · 146 citations*](https://md.research.elamur.ai/free/en/papers/morris-2023-text-embeddings-reveal-almost-as/) 3788. [**SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/) 3789. [**UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering**Barlas Oguz, Xilun Chen, Vladimir Karpukhin, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/oguz-2022-unik-qa-unified-representations-structured/) 3790. [**TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing**Xiao Wang, Qin Liu, Tao Gui, et al.*2021 · 146 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-textflint-unified-multilingual-robustness-evaluation/) 3791. [**Word-Level Coreference Resolution**Vladimir Dobrovolskii*2021 · 146 citations*](https://md.research.elamur.ai/free/en/papers/dobrovolskii-2021-word-level-coreference-resolution/) 3792. [**CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset**Qi Zhu, Kaili Huang, Zheng Zhang, et al.*2020 · 146 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2020-crosswoz-large-scale-chinese-cross/) 3793. [**Efficient Second-Order TreeCRF for Neural Dependency Parsing**Yu Zhang, Zhenghua Li, Min Zhang*2020 · 146 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-efficient-second-order-treecrf-neural/) 3794. [**ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph**Fei Yu, Jiji Tang, Weichong Yin, et al.*2020 · 146 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-ernie-vil-knowledge-enhanced/) 3795. [**Understanding Dataset Design Choices for Multi-hop Reasoning**Jifan Chen, Greg Durrett*2019 · 146 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-understanding-dataset-design-choices-multi/) 3796. [**SGM: Sequence Generation Model for Multi-label Classification**Pengcheng Yang, Xu Sun, Wei Li, et al.*2018 · 146 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-sgm-sequence-generation-model-multi/) 3797. [**End-to-End Task-Completion Neural Dialogue Systems**Xiujun Li, Yun-Nung Chen, Lihong Li, et al.*2017 · 146 citations*](https://md.research.elamur.ai/free/en/papers/li-2017-end-end-task-completion-neural/) 3798. [**Joint Incremental Disfluency Detection and Dependency Parsing**Matthew Honnibal, Mark Johnson*2014 · 146 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2014-joint-incremental-disfluency-detection-dependency/) 3799. [**Lexicon Infused Phrase Embeddings for Named Entity Resolution**Alexandre Passos, Vineet Kumar, Andrew McCallum*2014 · 146 citations*](https://md.research.elamur.ai/free/en/papers/passos-2014-lexicon-infused-phrase-embeddings-named/) 3800. [**Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs**Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.*2025 · 145 citations*](https://md.research.elamur.ai/free/en/papers/microsoft-2025-phi-4-mini-technical-report/) 3801. [**Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering**Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.*2024 · 145 citations*](https://md.research.elamur.ai/free/en/papers/adlakha-2024-evaluating-correctness-faithfulness-instruction-following/) 3802. [**How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition**Guanting Dong, Hongyi Yuan, Keming Lu, et al.*2024 · 145 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-how-abilities-large-language-models/) 3803. [**Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding**Heming Xia, Zhe Yang, Qingxiu Dong, et al.*2024 · 145 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-unlocking-efficiency-large-language-model/) 3804. [**Context-faithful Prompting for Large Language Models**Wenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-context-faithful-prompting-large-language/) 3805. [**Efficient Methods for Natural Language Processing: A Survey**Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/treviso-2023-efficient-methods-natural-language-processing/) 3806. [**RA-DIT: Retrieval-Augmented Dual Instruction Tuning**Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-ra-dit-retrieval-augmented-dual/) 3807. [**SCOTT: Self-Consistent Chain-of-Thought Distillation**Peifeng Wang, Zhengyang Wang, Zheng Li, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-scott-self-consistent-chain-thought/) 3808. [**Self-Evaluation Guided Beam Search for Reasoning**Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/xie-2023-self-evaluation-guided-beam-search/) 3809. [**Dynamic Prefix-Tuning for Generative Template-based Event Extraction**Xiao Liu, Heyan Huang, Ge Shi, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-dynamic-prefix-tuning-generative-template/) 3810. [**Is GPT-3 a Good Data Annotator?**Bosheng Ding, Chengwei Qin, Linlin Liu, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/) 3811. [**Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks**Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/mireshghallah-2022-quantifying-privacy-risks-masked-language/) 3812. [**RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder**Shitao Xiao, Zheng Liu, Yingxia Shao, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2022-retromae-pre-training-retrieval-oriented/) 3813. [**Including Signed Languages in Natural Language Processing**Kayo Yin, Amit Moryossef, Julie Hochgesang, et al.*2021 · 145 citations*](https://md.research.elamur.ai/free/en/papers/yin-2021-including-signed-languages-natural-language/) 3814. [**Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?**Thang Pham, Trung Bui, Long Mai, et al.*2021 · 145 citations*](https://md.research.elamur.ai/free/en/papers/pham-2021-out-order-how-important-is/) 3815. [**PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning**Siqi Bao, Huang He, Fan Wang, et al.*2021 · 145 citations*](https://md.research.elamur.ai/free/en/papers/bao-2021-plato-2-building-open-domain/) 3816. [**Revealing the Myth of Higher-Order Inference in Coreference Resolution**Liyan Xu, Jinho D. Choi*2020 · 145 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-revealing-myth-higher-order-inference/) 3817. [**SyntaxGym: An Online Platform for Targeted Evaluation of Language Models**Jon Gauthier, Jennifer Hu, Ethan Wilcox, et al.*2020 · 145 citations*](https://md.research.elamur.ai/free/en/papers/gauthier-2020-syntaxgym-online-platform-targeted-evaluation/) 3818. [**UNQOVERing Stereotyping Biases via Underspecified Questions**Tao Li, Daniel Khashabi, Tushar Khot, et al.*2020 · 145 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-unqovering-stereotyping-biases-underspecified-questions/) 3819. 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