Who cites Linlin Li
- Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 14,178 citations
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
- ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Omar Khattab, Matei Zaharia2020 · 1,789 citations
- Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
- Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
- DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,320 citations
- It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Timo Schick, Hinrich Schütze2021 · 1,132 citations
- MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.2020 · 1,016 citations
- GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
- FNet: Mixing Tokens with Fourier TransformsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, et al.2022 · 597 citations
- DeeBERT: Dynamic Early Exiting for Accelerating BERT InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Ji Xin, Raphael Tang, Jaejun Lee, et al.2020 · 487 citations
- LLM-Pruner: On the Structural Pruning of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Xinyin Ma, Gongfan Fang, Xinchao Wang2023 · 452 citations
- Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al.2021 · 425 citations
- Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
- FastBERT: a Self-distilling BERT with Adaptive Inference TimeAnnual Meeting of the Association for Computational Linguistics (ACL)Weijie Liu, Peng Zhou, Zhiruo Wang, et al.2020 · 383 citations
- Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 367 citations
- SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
- ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersConference on Neural Information Processing Systems (NeurIPS)Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 304 citations
- Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
- On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
- Survey: Multiword Expression Processing: A SurveyComputational LinguisticsMathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.2017 · 296 citations
- ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 245 citations
- BERT-of-Theseus: Compressing BERT by Progressive Module ReplacingConference on Empirical Methods in Natural Language Processing (EMNLP)Canwen Xu, Wangchunshu Zhou, Tao Ge, et al.2020 · 240 citations
- An Empirical Study on Compositionality in Compound NounsInternational Joint Conference on Natural Language Processing (IJCNLP)Siva Reddy, Diana McCarthy, Suresh Manandhar2011 · 233 citations
- Structured Pruning Learns Compact and Accurate ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhou Xia, Zexuan Zhong, Danqi Chen2022 · 221 citations
- TernaryBERT: Distillation-aware Ultra-low Bit BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Zhang, Lu Hou, Yichun Yin, et al.2020 · 213 citations
- DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank AdaptationConference of the European Chapter of the Association for Computational Linguistics (EACL)Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, et al.2023 · 203 citations
- Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasConference on Neural Information Processing Systems (NeurIPS)Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 202 citations
- Structured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Wang, Jeremy Wohlwend, Tao Lei2020 · 202 citations
- Block Pruning For Faster TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)François Lagunas, Ella Charlaix, Victor Sanh, et al.2021 · 199 citations
- The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 196 citations
- Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-TuningInternational Conference on Computational Linguistics (COLING)Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, et al.2022 · 195 citations
- Compressing Large-Scale Transformer-Based Models: A Case Study on BERTTransactions of the Association for Computational Linguistics (TACL)Prakhar Ganesh, Yao Chen, Xin Lou, et al.2021 · 190 citations
- BinaryBERT: Pushing the Limit of BERT QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoli Bai, Wei Zhang, Lu Hou, et al.2021 · 166 citations
- CPM: A Large-scale Generative Chinese Pre-trained Language ModelAI OpenZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 150 citations
- Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
- MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
- I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 122 citations
- MAGPIE: A Large Corpus of Potentially Idiomatic ExpressionsLanguage Resources and Evaluation Conference (LREC)Hessel Haagsma, Johan Bos, Malvina Nissim2020 · 118 citations
- MoEfication: Transformer Feed-forward Layers are Mixtures of ExpertsFindings of the Association for Computational LinguisticsZhengyan Zhang, Yankai Lin, Zhiyuan Liu, et al.2022 · 115 citations
- f-Divergence Minimization for Sequence-Level Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqiao Wen, Zichao Li, Wenyu Du, et al.2023 · 92 citations
- BERT Busters: Outlier Dimensions that Disrupt TransformersFindings of the Association for Computational LinguisticsOlga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, et al.2021 · 90 citations
- Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
- Idiomatic Expression Identification using Semantic CompatibilityTransactions of the Association for Computational Linguistics (TACL)Ziheng Zeng, Suma Bhat2021 · 75 citations
- The Unreasonable Ineffectiveness of the Deeper LayersarXiv:2403.17887Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.2024 · 71 citations
- Idiom Token Classification using Sentential Distributed SemanticsAnnual Meeting of the Association for Computational Linguistics (ACL)Giancarlo Salton, Robert Ross, John Kelleher2016 · 65 citations
- ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2112.12731Shuohuan Wang, Yu Sun, Yang Xiang, et al.2021 · 63 citations
- ID10M: Idiom Identification in 10 LanguagesFindings of the Association for Computational LinguisticsSimone Tedeschi, Federico Martelli, Roberto Navigli2022 · 49 citations
- F-coref: Fast, Accurate and Easy to Use Coreference ResolutionConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Shon Otmazgin, Arie Cattan, Yoav Goldberg2022 · 45 citations
- Dual-Space Knowledge Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Songming Zhang, Xue Zhang, Zengkui Sun, et al.2024 · 39 citations
- Improving Stance Detection with Multi-Dataset Learning and Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yingjie Li, Chenye Zhao, Cornelia Caragea2021 · 39 citations
- Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMsarXiv:2402.12030 · Transactions on Machine Learning Research, January 2025Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.2024 · 35 citations
- A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
- Towards the Law of Capacity Gap in Distilling Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhang, Qiuchi Li, Dawei Song, et al.2025 · 27 citations
- FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
- Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context ExpertsFindings of the Association for Computational LinguisticsNghia T. Le, Fan Bai, Alan Ritter2022 · 20 citations
- Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge DistillationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhijnan Nath, Shadi Manafi Avari, Avyakta Chelle, et al.2024 · 16 citations
- Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Xin Lv, Yushi Bai, et al.2025 · 14 citations
- Distilling Calibrated Knowledge for Stance DetectionFindings of the Association for Computational LinguisticsYingjie Li, Cornelia Caragea2023 · 13 citations
- Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Sara Rajaee, Yadollah Yaghoobzadeh, Mohammad Taher Pilehvar2022 · 13 citations
- EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport AlignmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Minh-Phuc Truong, Hai An Vu, Tu Vu, et al.2025 · 10 citations
- Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key InformationConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Chen, Jiawei Sheng, Wenyuan Zhang, et al.2025 · 10 citations
- Knowledge Distillation of Black-Box Large Language ModelsarXiv:2401.07013Hongzhan Chen, Ruijun Chen, Yuqi Yi, et al.2024 · 10 citations
- A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity UnderstandingLanguage Resources and Evaluation Conference (LREC)Dilara Torunoğlu-Selamet, Doğukan Arslan, Rodrigo Wilkens, et al.2026 · 8 citations
- Cross-lingual transfer for low-resource Arabic language understandingArabic Natural Language Processing Workshop (WANLP)Khadige Abboud, Olga Golovneva, Christopher DiPersio2022 · 8 citations
- TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge DistillationarXiv:2503.04872Lin Sun, Guangxiang Zhao, Xiaoqi Jian, et al.2025 · 7 citations
- Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Anshumann, Mohd Abbas Zaidi, Akhil Kedia, et al.2025 · 6 citations
- Detecting Anti-Semitic Hate Speech using Transformer-based Large Language ModelsarXiv:2405.03794Dengyi Liu, Minghao Wang, Andrew G. Catlin2024 · 6 citations
- Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic HierarchiesFindings of the Association for Computational LinguisticsChanghai Zhou, Shiyang Zhang, Yuhua Zhou, et al.2026 · 3 citations
- Cross-layer Attention Sharing for Pre-trained Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.2026 · 2 citations
- FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model CompressionFindings of the Association for Computational LinguisticsJiayi Tian, Ryan Solgi, Jinming Lu, et al.2026 · 2 citations
- LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Robin Vujanic, Thomas Rückstieß2026 · 2 citations
- Multi-Granularity Semantic Revision for Large Language Model DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Liu, Yun Zhang, Wei Li, et al.2026 · 2 citations
- Enhanced Arabic Text Retrieval with Attentive Relevance ScoringIEEE International Workshop on Machine Learning for Signal Processing (MLSP)Salah Eddine Bekhouche, Azeddine Benlamoudi, Yazid Bounab, et al.2025 · 2 citations
- Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions IdentificationChaya Liebeskind, Yaakov HaCohen-Kerner2016 · 2 citations
- SindBERT, the Sailor: Charting the Seas of Turkish NLPWorkshop Natural Language Processing for Turkic LanguagesRaphael Schmitt, Stefan Schweter2026 · 1 citation
- TaoType: Predicting Fine-Grained Typing Intent for Faster SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Yipeng Yu, Yichen Yuan, Chengxiao Feng, et al.2026 · 1 citation
- ID10M-JAM: Stress-Testing Idiom Identification Under Challenging ContextFindings of the Association for Computational LinguisticsKai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.2026
- Investigating Memorization in Language Models Trained via Knowledge DistillationLanguage Resources and Evaluation Conference (LREC)Maarten Mäcking, Michaela Regneri2026
- ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Peizhuo Lv, Ruihua Zhou, Yunpeng Li, et al.2026
- A Hybrid DeBERTa and Gated Broad Learning System for Cyberbullying Detection in English TextarXiv:2506.16052Devesh Kumar2025
- Non Idiomatic Conventionalised Expressions: A New Pain in the Neck?Pacific Asia Conference on Language, Information and Computation (PACLIC)Ganesh Katrapati, Manish Shrivastava2025
- The semantic transparency of English compound nounsMartin Schäfer2018
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