---
title: "Who cites Adam: A Method for Stochastic Optimization — page 7"
description: "10,909 papers of the Elamur Research library cite «Adam: A Method for Stochastic Optimization», found in their bibliographies · page 7 of 12…"
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---
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# Who cites «Adam: A Method for Stochastic Optimization»

10,909 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1123 with a page here, the most cited first · page 7 of 12 · 601–700 · [← back to «Adam: A Method for Stochastic Optimization»](https://md.research.elamur.ai/free/en/papers/kingma-2014-adam-method-stochastic-optimization/)

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601. **[MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data](https://md.research.elamur.ai/free/en/papers/zhao-2022-multihiertt-numerical-reasoning-over-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhao, Yunxiang Li, Chenying Li, et al.*2022 · 128 citations*
602. **[ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora](https://md.research.elamur.ai/free/en/papers/ouyang-2020-ernie-m-enhanced-multilingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xuan Ouyang, Shuohuan Wang, Chao Pang, et al.*2020 · 128 citations*
603. **[XLM-E: Cross-lingual Language Model Pre-training via ELECTRA](https://md.research.elamur.ai/free/en/papers/chi-2022-xlm-e-cross-lingual-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zewen Chi, Shaohan Huang, Li Dong, et al.*2022 · 127 citations*
604. **[Arabic aspect based sentiment analysis using bidirectional GRU based models](https://md.research.elamur.ai/free/en/papers/m-abdelgwad-2021-arabic-aspect-based-sentiment-analysis/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Mohammed M.Abdelgwad, Taysir Hassan A Soliman, Ahmed I.Taloba, et al.*2021 · 127 citations*
605. [**Chain of Hindsight Aligns Language Models with Feedback arXiv:2302.02676**Hao Liu, Carmelo Sferrazza, Pieter Abbeel*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-chain-hindsight-aligns-language-models/)
606. **[Learning Dense Representations of Phrases at Scale](https://md.research.elamur.ai/free/en/papers/lee-2021-learning-dense-representations-phrases-scale/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, et al.*2021 · 126 citations*
607. **[Generative Spoken Dialogue Language Modeling](https://md.research.elamur.ai/free/en/papers/nguyen-2023-generative-spoken-dialogue-language-modeling/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tu Anh Nguyen, Eugene Kharitonov, Jade Copet, et al.*2023 · 124 citations*
608. **[Adversarial Learning for Zero-Shot Stance Detection on Social Media](https://md.research.elamur.ai/free/en/papers/allaway-2021-adversarial-learning-zero-shot-stance/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Emily Allaway, Malavika Srikanth, Kathleen McKeown*2021 · 124 citations*
609. **[When and Why is Document-level Context Useful in Neural Machine Translation?](https://md.research.elamur.ai/free/en/papers/kim-2019-when-why-is-document-level/) [Workshop on Discourse in Machine Translation](https://md.research.elamur.ai/free/en/venues/workshop-on-discourse-in-machine-translation/)**Yunsu Kim, Duc Thanh Tran, Hermann Ney*2019 · 124 citations*
610. [**Transformer-Patcher: One Mistake worth One Neuron arXiv:2301.09785**Zeyu Huang, Yikang Shen, Xiaofeng Zhang, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-transformer-patcher-one-mistake-worth/)
611. [**BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning arXiv:1810.08272**Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, et al.*2018 · 123 citations*](https://md.research.elamur.ai/free/en/papers/chevalier-boisvert-2018-babyai-platform-study-sample-efficiency/)
612. **[ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts](https://md.research.elamur.ai/free/en/papers/asai-2022-attempt-parameter-efficient-multi-task/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.*2022 · 122 citations*
613. [**Making Neural QA as Simple as Possible but not Simpler arXiv:1703.04816**Dirk Weissenborn, Georg Wiese, Laura Seiffe*2017 · 122 citations*](https://md.research.elamur.ai/free/en/papers/weissenborn-2017-making-neural-qa-simple-possible/)
614. **[Collaborative Dialogue in Minecraft](https://md.research.elamur.ai/free/en/papers/chen-2019-collaborative-dialogue-minecraft/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier*2019 · 121 citations*
615. **[Importance of Search and Evaluation Strategies in Neural Dialogue Modeling](https://md.research.elamur.ai/free/en/papers/kulikov-2019-importance-search-evaluation-strategies-neural/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Ilia Kulikov, Alexander Miller, Kyunghyun Cho, et al.*2019 · 121 citations*
616. [**Compositional Exemplars for In-context Learning arXiv:2302.05698**Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, et al.*2023 · 120 citations*](https://md.research.elamur.ai/free/en/papers/ye-2023-compositional-exemplars-context-learning/)
617. **[XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models](https://md.research.elamur.ai/free/en/papers/liang-2023-xlm-v-overcoming-vocabulary-bottleneck/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Davis Liang, Hila Gonen, Yuning Mao, et al.*2023 · 120 citations*
618. **[Adaptive Nearest Neighbor Machine Translation](https://md.research.elamur.ai/free/en/papers/zheng-2021-adaptive-nearest-neighbor-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xin Zheng, Zhirui Zhang, Junliang Guo, et al.*2021 · 120 citations*
619. [**A Constructive Prediction of the Generalization Error Across Scales arXiv:1909.12673**Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, et al.*2019 · 120 citations*](https://md.research.elamur.ai/free/en/papers/rosenfeld-2019-constructive-prediction-generalization-error-across/)
620. **[Knowledge Enhanced Masked Language Model for Stance Detection](https://md.research.elamur.ai/free/en/papers/kawintiranon-2021-knowledge-enhanced-masked-language-model/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kornraphop Kawintiranon, Lisa Singh*2021 · 119 citations*
621. **[ChID: A Large-scale Chinese IDiom Dataset for Cloze Test](https://md.research.elamur.ai/free/en/papers/zheng-2019-chid-large-scale-chinese/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chujie Zheng, Minlie Huang, Aixin Sun*2019 · 119 citations*
622. **[Overcoming Language Variation in Sentiment Analysis with Social Attention](https://md.research.elamur.ai/free/en/papers/yang-2017-overcoming-language-variation-sentiment-analysis/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yi Yang, Jacob Eisenstein*2017 · 119 citations*
623. **[A Length-Extrapolatable Transformer](https://md.research.elamur.ai/free/en/papers/sun-2023-length-extrapolatable-transformer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yutao Sun, Li Dong, Barun Patra, et al.*2023 · 118 citations*
624. [**Resurrecting Recurrent Neural Networks for Long Sequences arXiv:2303.06349**Antonio Orvieto, Samuel L Smith, Albert Gu, et al.*2023 · 118 citations*](https://md.research.elamur.ai/free/en/papers/orvieto-2023-resurrecting-recurrent-neural-networks-long/)
625. [**Scaling Laws for Transfer arXiv:2102.01293**Danny Hernandez, Jared Kaplan, Tom Henighan, et al.*2021 · 118 citations*](https://md.research.elamur.ai/free/en/papers/hernandez-2021-scaling-laws-transfer/)
626. [**Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model arXiv:1912.09637**Wenhan Xiong, Jingfei Du, William Yang Wang, et al.*2019 · 117 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2019-pretrained-encyclopedia-weakly-supervised-knowledge/)
627. **[End-to-End Training of Neural Retrievers for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/sachan-2021-end-end-training-neural-retrievers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, et al.*2021 · 116 citations*
628. [**RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation arXiv:2310.04408**Fangyuan Xu, Weijia Shi, Eunsol Choi*2023 · 115 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-recomp-improving-retrieval-augmented-lms/)
629. **[Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features](https://md.research.elamur.ai/free/en/papers/lee-2021-pushing-text-readability-assessment-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bruce W. Lee, Yoo Sung Jang, Jason Lee*2021 · 115 citations*
630. **[Unified Pragmatic Models for Generating and Following Instructions](https://md.research.elamur.ai/free/en/papers/fried-2018-unified-pragmatic-models-generating-following/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Daniel Fried, Jacob Andreas, Dan Klein*2018 · 115 citations*
631. [**DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads arXiv:2410.10819**Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2024-duoattention-efficient-long-context-llm/)
632. **[Entity Linking in 100 Languages](https://md.research.elamur.ai/free/en/papers/botha-2020-entity-linking-100-languages/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jan A. Botha, Zifei Shan, Daniel Gillick*2020 · 114 citations*
633. **[Monolingual Adapters for Zero-Shot Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/philip-2020-monolingual-adapters-zero-shot-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jerin Philip, Alexandre Berard, Matthias Gallé, et al.*2020 · 114 citations*
634. [**Efficient Large Scale Language Modeling with Mixtures of Experts arXiv:2112.10684**Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.*2021 · 113 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2021-efficient-large-scale-language-modeling/)
635. **[Multi-Task Stance Detection with Sentiment and Stance Lexicons](https://md.research.elamur.ai/free/en/papers/li-2019-multi-task-stance-detection-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yingjie Li, Cornelia Caragea*2019 · 113 citations*
636. [**DistiLLM: Towards Streamlined Distillation for Large Language Models arXiv:2402.03898**Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.*2024 · 112 citations*](https://md.research.elamur.ai/free/en/papers/ko-2024-distillm-towards-streamlined-distillation-large/)
637. [**Neural Networks and the Chomsky Hierarchy arXiv:2207.02098**Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.*2022 · 112 citations*](https://md.research.elamur.ai/free/en/papers/deletang-2022-neural-networks-chomsky-hierarchy/)
638. **[RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models](https://md.research.elamur.ai/free/en/papers/yang-2021-rap-robustness-aware-perturbations-defending/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenkai Yang, Yankai Lin, Peng Li, et al.*2021 · 112 citations*
639. **[XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization](https://md.research.elamur.ai/free/en/papers/raganato-2020-xl-wic-multilingual-benchmark-evaluating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alessandro Raganato, Tommaso Pasini, Jose Camacho-Collados, et al.*2020 · 112 citations*
640. [**Neural Models of Factuality**Rachel Rudinger, Aaron Steven White, Benjamin Van Durme*2018 · 112 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/)
641. [**Transformer Language Models without Positional Encodings Still Learn Positional Information arXiv:2203.16634**Adi Haviv, Ori Ram, Ofir Press, et al.*2022 · 111 citations*](https://md.research.elamur.ai/free/en/papers/haviv-2022-transformer-language-models-positional-encodings/)
642. [**Linear Transformers Are Secretly Fast Weight Programmers arXiv:2102.11174**Imanol Schlag, Kazuki Irie, Jurgen Schmidhuber*2021 · 111 citations*](https://md.research.elamur.ai/free/en/papers/schlag-2021-linear-transformers-secretly-fast-weight/)
643. [**Reframing Human-AI Collaboration for Generating Free-Text Explanations arXiv:2112.08674**Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, et al.*2021 · 111 citations*](https://md.research.elamur.ai/free/en/papers/wiegreffe-2021-reframing-human-ai-collaboration-generating/)
644. [**Efficient Large Language Models: A Survey arXiv:2312.03863**Zhongwei Wan, Xin Wang, Che Liu, et al.*2023 · 110 citations*](https://md.research.elamur.ai/free/en/papers/wan-2023-efficient-large-language-models-survey/)
645. [**RouteLLM: Learning to Route LLMs with Preference Data arXiv:2406.18665**Isaac Ong, Amjad Almahairi, Vincent Wu, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ong-2024-routellm-learning-route-llms-preference/)
646. **[AMR-To-Text Generation with Graph Transformer](https://md.research.elamur.ai/free/en/papers/wang-2020-amr-text-generation-graph-transformer/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tianming Wang, Xiaojun Wan, Hanqi Jin*2020 · 108 citations*
647. **[Rethinking Document-level Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zewei Sun, Mingxuan Wang, Hao Zhou, et al.*2022 · 107 citations*
648. **[CausaLM: Causal Model Explanation Through Counterfactual Language Models](https://md.research.elamur.ai/free/en/papers/feder-2021-causalm-causal-model-explanation-through/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Amir Feder, Nadav Oved, Uri Shalit, et al.*2021 · 107 citations*
649. **[An Empirical Study of Pre-trained Transformers for Arabic Information Extraction](https://md.research.elamur.ai/free/en/papers/lan-2020-empirical-study-pre-trained-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wuwei Lan, Yang Chen, Wei Xu, et al.*2020 · 107 citations*
650. [**DAPPLE: A Pipelined Data Parallel Approach for Training Large Models arXiv:2007.01045**Shiqing Fan, Yi Rong, Chen Meng, et al.*2020 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fan-2020-dapple-pipelined-data-parallel-approach/)
651. **[Offensive Language and Hate Speech Detection for Danish](https://md.research.elamur.ai/free/en/papers/sigurbergsson-2020-offensive-language-hate-speech-detection/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Gudbjartur Ingi Sigurbergsson, Leon Derczynski*2020 · 107 citations*
652. **[Uncertain Natural Language Inference](https://md.research.elamur.ai/free/en/papers/chen-2020-uncertain-natural-language-inference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.*2020 · 107 citations*
653. [**Studying Large Language Model Generalization with Influence Functions arXiv:2308.03296**Roger Grosse, Juhan Bae, Cem Anil, et al.*2023 · 105 citations*](https://md.research.elamur.ai/free/en/papers/grosse-2023-studying-large-language-model-generalization/)
654. **[DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification](https://md.research.elamur.ai/free/en/papers/qin-2020-dcr-net-deep-co-interactive/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Libo Qin, Wanxiang Che, Yangming Li, et al.*2020 · 105 citations*
655. **[Text-Free Prosody-Aware Generative Spoken Language Modeling](https://md.research.elamur.ai/free/en/papers/kharitonov-2022-text-free-prosody-aware-generative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eugene Kharitonov, Ann Lee, Adam Polyak, et al.*2022 · 104 citations*
656. [**An Annotated Dataset of Coreference in English Literature**David Bamman, Olivia Lewke, Anya Mansoor*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2020-annotated-dataset-coreference-english-literature/)
657. **[Exact Hard Monotonic Attention for Character-Level Transduction](https://md.research.elamur.ai/free/en/papers/wu-2019-exact-hard-monotonic-attention-character/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shijie Wu, Ryan Cotterell*2019 · 103 citations*
658. **[Exploiting Monolingual Data at Scale for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Yiren Wang, Yingce Xia, et al.*2019 · 103 citations*
659. [**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/)
660. [**Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words**Valentin, Hofmann*2021 · 102 citations*](https://md.research.elamur.ai/free/en/papers/hofmann-2021-superbizarre-derivational/)
661. [**Simulating Action Dynamics with Neural Process Networks arXiv:1711.05313**Antoine Bosselut, Omer Levy, Ari Holtzman, et al.*2017 · 102 citations*](https://md.research.elamur.ai/free/en/papers/bosselut-2017-simulating-action-dynamics-neural-process/)
662. [**AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web arXiv:2305.13117**Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos*2023 · 101 citations*](https://md.research.elamur.ai/free/en/papers/schlichtkrull-2023-averitec-dataset-real-world-claim/)
663. **[Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark](https://md.research.elamur.ai/free/en/papers/dziri-2022-evaluating-attribution-dialogue-systems-begin/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.*2022 · 100 citations*
664. **[Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions](https://md.research.elamur.ai/free/en/papers/li-2024-eliciting-translation-ability-large-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiahuan Li, Hao Zhou, Shujian Huang, et al.*2024 · 99 citations*
665. **[Executing Instructions in Situated Collaborative Interactions](https://md.research.elamur.ai/free/en/papers/suhr-2019-executing-instructions-situated-collaborative-interactions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alane Suhr, Claudia Yan, Charlotte Schluger, et al.*2019 · 99 citations*
666. **[A Joint Sequential and Relational Model for Frame-Semantic Parsing](https://md.research.elamur.ai/free/en/papers/yang-2017-joint-sequential-relational-model-frame/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bishan Yang, Tom Mitchell*2017 · 98 citations*
667. [**LoRA+: Efficient Low Rank Adaptation of Large Models arXiv:2402.12354**Soufiane Hayou, Nikhil Ghosh, Bin Yu*2024 · 97 citations*](https://md.research.elamur.ai/free/en/papers/hayou-2024-lora-efficient-low-rank-adaptation/)
668. [**Dataset Distillation arXiv:1811.10959**Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, et al.*2018 · 97 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-dataset-distillation/)
669. [**Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic**Nasser Zalmout, Nizar Habash*2017 · 97 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/)
670. [**TextGrad: Automatic "Differentiation" via Text arXiv:2406.07496**Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.*2024 · 96 citations*](https://md.research.elamur.ai/free/en/papers/yuksekgonul-2024-textgrad-automatic-differentiation-text/)
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680. [**Better & Faster Large Language Models via Multi-token Prediction arXiv:2404.19737**Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere, et al.*2024 · 90 citations*](https://md.research.elamur.ai/free/en/papers/gloeckle-2024-better-faster-large-language-models/)
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682. [**Automatically Auditing Large Language Models via Discrete Optimization arXiv:2303.04381**Erik Jones, Anca Dragan, Aditi Raghunathan, et al.*2023 · 89 citations*](https://md.research.elamur.ai/free/en/papers/jones-2023-automatically-auditing-large-language-models/)
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