---
title: "Who cites Attention Is All You Need — page 7"
description: "16,413 papers of the Elamur Research library cite «Attention Is All You Need», found in their bibliographies · page 7 of 10 · 601–700; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/7/"
---
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# Who cites «Attention Is All You Need»

16,413 papers of our library cite it (of the 140,884 whose bibliographies we read) · 993 with a page here, the most cited first · page 7 of 10 · 601–700 · [← the paper](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/)

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601. [**Moshi: a speech-text foundation model for real-time dialogue**Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/)
602. [**Large Language Models with Controllable Working Memory**Daliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.*2023 · 154 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-large-language-models-controllable-working/)
603. [**Leveraging Large Language Models for Multiple Choice Question Answering**Joshua Robinson, Christopher Michael Rytting, David Wingate*2022 · 154 citations*](https://md.research.elamur.ai/free/en/papers/robinson-2022-leveraging-large-language-models-multiple/)
604. [**DART: Open-Domain Structured Data Record to Text Generation**Linyong Nan, Dragomir Radev, Rui Zhang, et al.*2020 · 154 citations*](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/)
605. [**FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/)
606. [**Graph Pre-training for AMR Parsing and Generation**Xuefeng Bai, Yulong Chen, Yue Zhang*2022 · 153 citations*](https://md.research.elamur.ai/free/en/papers/bai-2022-graph-pre-training-amr-parsing/)
607. [**Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models**Tianyi Tang, Wenyang Luo, Haoyang Huang, et al.*2024 · 151 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-language-specific-neurons-key-multilingual/)
608. [**AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators**Xingwei He, Zhenghao Lin, Yeyun Gong, et al.*2023 · 150 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/)
609. [**Language Model Tokenizers Introduce Unfairness Between Languages**Aleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.*2023 · 149 citations*](https://md.research.elamur.ai/free/en/papers/petrov-2023-language-model-tokenizers-introduce-unfairness/)
610. [**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/)
611. [**Investigating Pretrained Language Models for Graph-to-Text Generation**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/)
612. [**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/)
613. [**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/)
614. [**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/)
615. [**Fact-Checking Complex Claims with Program-Guided Reasoning**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/)
616. [**Unified Demonstration Retriever for In-Context Learning**Xiaonan Li, Kai Lv, Hang Yan, et al.*2023 · 144 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-unified-demonstration-retriever-context-learning/)
617. [**GLUCOSE: GeneraLized and COntextualized Story Explanations**Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2020-glucose-generalized-contextualized-story-explanations/)
618. [**TALM: Tool Augmented Language Models**Aaron Parisi, Yao Zhao, Noah Fiedel*2022 · 142 citations*](https://md.research.elamur.ai/free/en/papers/parisi-2022-talm-tool-augmented-language-models/)
619. [**Rethinking embedding coupling in pre-trained language models**Hyung Won Chung, Thibault Févry, Henry Tsai, et al.*2020 · 142 citations*](https://md.research.elamur.ai/free/en/papers/chung-2020-rethinking-embedding-coupling-pre-trained/)
620. [**Paragraph-level Simplification of Medical Texts**Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.*2021 · 139 citations*](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/)
621. [**On The Evaluation of Machine Translation Systems Trained With Back-Translation**Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.*2020 · 139 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/)
622. [**Trivial Transfer Learning for Low-Resource Neural Machine Translation**Tom Kocmi, Ondřej Bojar*2018 · 139 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2018-trivial-transfer-learning-low-resource/)
623. [**Efficient Training of Language Models to Fill in the Middle**Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.*2022 · 137 citations*](https://md.research.elamur.ai/free/en/papers/bavarian-2022-efficient-training-language-models-fill/)
624. [**Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation**Eva Vanmassenhove, Dimitar Shterionov, Andy Way*2019 · 137 citations*](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2019-lost-translation-loss-decay-linguistic/)
625. [**Agent Laboratory: Using LLM Agents as Research Assistants**Samuel Schmidgall, Yusheng Su, Ze Wang, et al.*2025 · 136 citations*](https://md.research.elamur.ai/free/en/papers/schmidgall-2025-agent-laboratory-using-llm/)
626. [**SummScreen: A Dataset for Abstractive Screenplay Summarization**Mingda Chen, Zewei Chu, Sam Wiseman, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/chen-2022-summscreen-dataset-abstractive-screenplay-summarization/)
627. [**Byte Pair Encoding is Suboptimal for Language Model Pretraining**Kaj Bostrom, Greg Durrett*2020 · 136 citations*](https://md.research.elamur.ai/free/en/papers/bostrom-2020-byte-pair-encoding-is-suboptimal/)
628. [**Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention**Jingyang Yuan, Huazuo Gao, Damai Dai, et al.*2025 · 135 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2025-native-sparse-attention-hardware/)
629. [**Affective and Contextual Embedding for Sarcasm Detection**Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.*2020 · 135 citations*](https://md.research.elamur.ai/free/en/papers/babanejad-2020-affective-contextual-embedding-sarcasm-detection/)
630. [**Domain Robustness in Neural Machine Translation**Mathias Müller, Annette Rios, Rico Sennrich*2020 · 135 citations*](https://md.research.elamur.ai/free/en/papers/muller-2020-domain-robustness-neural-machine-translation/)
631. [**Simple and Effective Masked Diffusion Language Models**Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.*2024 · 134 citations*](https://md.research.elamur.ai/free/en/papers/sahoo-2024-simple-effective-masked-diffusion-language/)
632. [**Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph**Rui Liu, Zheng Lin, Yutong Tan, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-enhancing-zero-shot-few-shot/)
633. [**Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning**Pan Lu, Ran Gong, Shibiao Jiang, et al.*2021 · 134 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-inter-gps-interpretable-geometry-problem/)
634. [**Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches**Shane Storks, Qiaozi Gao, Joyce Y. Chai*2019 · 134 citations*](https://md.research.elamur.ai/free/en/papers/storks-2019-recent-advances-natural-language-inference/)
635. [**Findings of the WMT 2018 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Varvara Logacheva, et al.*2018 · 134 citations*](https://md.research.elamur.ai/free/en/papers/specia-2018-findings-wmt-2018-shared-task/)
636. [**Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement**Hui Liu, Wenya Wang, Haoliang Li*2022 · 132 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-multi-modal-sarcasm-detection-hierarchical/)
637. [**Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation**Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.*2020 · 132 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2020-deep-encoder-shallow-decoder-reevaluating/)
638. [**EuroLLM: Multilingual Language Models for Europe**Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/martins-2024-eurollm-multilingual-language-models-europe/)
639. [**Extracting Latent Steering Vectors from Pretrained Language Models**Nishant Subramani, Nivedita Suresh, Matthew Peters*2022 · 131 citations*](https://md.research.elamur.ai/free/en/papers/subramani-2022-extracting-latent-steering-vectors-pretrained/)
640. [**MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems**Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/)
641. [**Analyzing Transformers in Embedding Space**Guy Dar, Mor Geva, Ankit Gupta, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/dar-2023-analyzing-transformers-embedding-space/)
642. [**Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition**Vered Shwartz, Ido Dagan*2019 · 129 citations*](https://md.research.elamur.ai/free/en/papers/shwartz-2019-still-pain-neck-evaluating-text/)
643. [**Fanar: An Arabic-Centric Multimodal Generative AI Platform**Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.*2025 · 127 citations*](https://md.research.elamur.ai/free/en/papers/abbas-2025-fanar-arabic-centric-multimodal-generative/)
644. [**Time Travel in LLMs: Tracing Data Contamination in Large Language Models**Shahriar Golchin, Mihai Surdeanu*2023 · 127 citations*](https://md.research.elamur.ai/free/en/papers/golchin-2023-time-travel-llms-tracing-data/)
645. [**Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors**Liyan Tang, Tanya Goyal, Alex Fabbri, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-understanding-factual-errors-summarization-errors/)
646. [**A Recipe For Arbitrary Text Style Transfer with Large Language Models**Emily Reif, Daphne Ippolito, Ann Yuan, et al.*2021 · 125 citations*](https://md.research.elamur.ai/free/en/papers/reif-2021-recipe-arbitrary-text-style-transfer/)
647. [**Adversarial Learning for Zero-Shot Stance Detection on Social Media**Emily Allaway, Malavika Srikanth, Kathleen McKeown*2021 · 124 citations*](https://md.research.elamur.ai/free/en/papers/allaway-2021-adversarial-learning-zero-shot-stance/)
648. [**Large Language Model Alignment: A Survey**Tianhao Shen, Renren Jin, Yufei Huang, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-model-alignment-survey/)
649. [**Machine Learning for Ancient Languages: A Survey**Thea Sommerschield, Yannis Assael, John Pavlopoulos, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/sommerschield-2023-machine-learning-ancient-languages-survey/)
650. [**DocNLI: A Large-scale Dataset for Document-level Natural Language Inference**Wenpeng Yin, Dragomir Radev, Caiming Xiong*2021 · 121 citations*](https://md.research.elamur.ai/free/en/papers/yin-2021-docnli-large-scale-dataset-document/)
651. [**High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics**Markus Freitag, David Grangier, Qijun Tan, et al.*2022 · 120 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2022-high-quality-rather-than-high/)
652. [**Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering**Jinheon Baek, Alham Fikri Aji, Amir Saffari*2023 · 118 citations*](https://md.research.elamur.ai/free/en/papers/baek-2023-knowledge-augmented-language-model-prompting/)
653. [**MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task**Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.*2023 · 118 citations*](https://md.research.elamur.ai/free/en/papers/juraska-2023-metricx-23-google-submission-wmt/)
654. [**Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas**Manuel Mager, Arturo Oncevay, Abteen Ebrahimi, et al.*2021 · 118 citations*](https://md.research.elamur.ai/free/en/papers/mager-2021-findings-americasnlp-2021-shared-task/)
655. [**I-BERT: Integer-only BERT Quantization**Sehoon Kim, Amir Gholami, Zhewei Yao, et al.*2021 · 118 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-i-bert-integer-only-bert/)
656. [**DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence**DeepSeek-AI, Anyi Xu, Bangcai Lin, et al.*2026 · 117 citations*](https://md.research.elamur.ai/free/en/papers/deepseek-ai-2026-deepseek-v4-highly-efficient/)
657. [**MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases**Louis Martin, Angela Fan, Éric de la Clergerie, et al.*2022 · 117 citations*](https://md.research.elamur.ai/free/en/papers/martin-2022-muss-multilingual-unsupervised-sentence-simplification/)
658. [**Scaling Laws for Autoregressive Generative Modeling**Tom Henighan, Jared Kaplan, Mor Katz, et al.*2020 · 115 citations*](https://md.research.elamur.ai/free/en/papers/henighan-2020-scaling-laws-autoregressive-generative-modeling/)
659. [**Document-level Neural MT: A Systematic Comparison**António Lopes, M. Amin Farajian, Rachel Bawden, et al.*2020 · 114 citations*](https://md.research.elamur.ai/free/en/papers/lopes-2020-document-level-neural-mt-systematic/)
660. [**Entity Linking in 100 Languages**Jan A. Botha, Zifei Shan, Daniel Gillick*2020 · 114 citations*](https://md.research.elamur.ai/free/en/papers/botha-2020-entity-linking-100-languages/)
661. [**MLSUM: The Multilingual Summarization Corpus**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2020 · 114 citations*](https://md.research.elamur.ai/free/en/papers/scialom-2020-mlsum-multilingual-summarization-corpus/)
662. [**ALLaM: Large Language Models for Arabic and English**M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/bari-2024-allam-large-language-models-arabic/)
663. [**DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search**Huajian Xin, Z. Z. Ren, Junxiao Song, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/xin-2024-deepseek-prover-v1-5-harnessing/)
664. [**DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data**Huajian Xin, Daya Guo, Zhihong Shao, et al.*2024 · 111 citations*](https://md.research.elamur.ai/free/en/papers/xin-2024-deepseek-prover-advancing-theorem-proving/)
665. [**Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus**Isaac Caswell, Theresa Breiner, Daan van Esch, et al.*2020 · 111 citations*](https://md.research.elamur.ai/free/en/papers/caswell-2020-language-id-wild-unexpected/)
666. [**Olmo 3**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
667. [**AMR-To-Text Generation with Graph Transformer**Tianming Wang, Xiaojun Wan, Hanqi Jin*2020 · 108 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-amr-text-generation-graph-transformer/)
668. [**APE at Scale and Its Implications on MT Evaluation Biases**Markus Freitag, Isaac Caswell, Scott Roy*2019 · 107 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2019-ape-scale-its-implications-mt/)
669. [**Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation**Verna Dankers, Christopher Lucas, Ivan Titov*2022 · 105 citations*](https://md.research.elamur.ai/free/en/papers/dankers-2022-can-transformer-be-too-compositional/)
670. [**LENS: A Learnable Evaluation Metric for Text Simplification**Mounica Maddela, Yao Dou, David Heineman, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/)
671. [**Nemotron-4 340B Technical Report**Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.*2024 · 102 citations*](https://md.research.elamur.ai/free/en/papers/adler-2024-nemotron-4-340b-technical-report/)
672. [**Tokenizer Choice For LLM Training: Negligible or Crucial?**Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.*2024 · 102 citations*](https://md.research.elamur.ai/free/en/papers/ali-2024-tokenizer-choice-llm-training-negligible/)
673. [**Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction**Zhanming Jie, Jierui Li, Wei Lu*2022 · 102 citations*](https://md.research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/)
674. [**Probing Natural Language Inference Models through Semantic Fragments**Kyle Richardson, Hai Hu, Lawrence S. Moss, et al.*2019 · 102 citations*](https://md.research.elamur.ai/free/en/papers/richardson-2019-probing-natural-language-inference-models/)
675. [**UniTE: Unified Translation Evaluation**Yu Wan, Dayiheng Liu, Baosong Yang, et al.*2022 · 100 citations*](https://md.research.elamur.ai/free/en/papers/wan-2022-unite-unified-translation-evaluation/)
676. [**Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus**Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al.*2020 · 100 citations*](https://md.research.elamur.ai/free/en/papers/bentivogli-2020-gender-danger-evaluating-speech-translation/)
677. [**Cross-Domain Label-Adaptive Stance Detection**Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.*2021 · 96 citations*](https://md.research.elamur.ai/free/en/papers/hardalov-2021-cross-domain-label-adaptive-stance/)
678. [**LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation**Gustavo Aguilar, Sudipta Kar, Thamar Solorio*2020 · 96 citations*](https://md.research.elamur.ai/free/en/papers/aguilar-2020-lince-centralized-benchmark-linguistic-code/)
679. [**SemDeDup: Data-efficient learning at web-scale through semantic deduplication**Amro Abbas, Kushal Tirumala, Dániel Simig, et al.*2023 · 94 citations*](https://md.research.elamur.ai/free/en/papers/abbas-2023-semdedup-data-efficient-learning-web/)
680. [**A Unified Linear-Time Framework for Sentence-Level Discourse Parsing**Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, et al.*2019 · 94 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-unified-linear-time-framework-sentence/)
681. [**The NiuTrans Machine Translation Systems for WMT19**Bei Li, Yinqiao Li, Chen Xu, et al.*2019 · 92 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-niutrans-machine-translation-systems-wmt19/)
682. [**Prompsit's submission to WMT 2018 Parallel Corpus Filtering shared task**Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, et al.*2018 · 92 citations*](https://md.research.elamur.ai/free/en/papers/cartagena-2018-prompsit-s-submission-wmt-2018/)
683. [**Skywork: A More Open Bilingual Foundation Model**Tianwen Wei, Liang Zhao, Lichang Zhang, et al.*2023 · 91 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-skywork-more-open-bilingual/)
684. [**BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language**Philip A. Huebner, Elior Sulem, Fisher Cynthia, et al.*2021 · 91 citations*](https://md.research.elamur.ai/free/en/papers/huebner-2021-babyberta-learning-more-grammar-small/)
685. [**WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models**Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz*2022 · 90 citations*](https://md.research.elamur.ai/free/en/papers/minixhofer-2022-wechsel-effective-initialization-subword-embeddings/)
686. [**Language Modeling Is Compression**Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.*2023 · 89 citations*](https://md.research.elamur.ai/free/en/papers/deletang-2023-language-modeling-compression/)
687. [**BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation**Yuchen Jiang, Tianyu Liu, Shuming Ma, et al.*2022 · 85 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/)
688. [**Coreference-Aware Dialogue Summarization**Zhengyuan Liu, Ke Shi, Nancy Chen*2021 · 81 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-coreference-aware-dialogue-summarization/)
689. [**Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?**Yi Tay, Mostafa Dehghani, Samira Abnar, et al.*2023 · 79 citations*](https://md.research.elamur.ai/free/en/papers/tay-2023-scaling-laws-vs-model-architectures/)
690. [**Are Pretrained Language Models Symbolic Reasoners over Knowledge?**Nora Kassner, Benno Krojer, Hinrich Schütze*2020 · 79 citations*](https://md.research.elamur.ai/free/en/papers/kassner-2020-are-pretrained-language-models-symbolic/)
691. [**Towards Emotion-aided Multi-modal Dialogue Act Classification**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 78 citations*](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/)
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