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Who cites Canwen Xu

9,197 citations of their works from 8,596 papers of our library (of the 141,840 whose bibliographies we read) · 775 with a page here, the most cited first · page 5 of 8 · 401–500 · ← Canwen Xu

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  1. Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 128 citations
  2. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsarXiv:2308.08493Shahriar Golchin, Mihai Surdeanu2023 · 127 citations
  3. NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment AnalysisLanguage Resources and Evaluation Conference (LREC)Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.2022 · 127 citations
  4. Generalization in NLI: Ways (Not) To Go Beyond Simple HeuristicsWorkshop on Insights from Negative Results in NLPPrajjwal Bhargava, Aleksandr Drozd, Anna Rogers2021 · 127 citations
  5. Keep CALM and Explore: Language Models for Action Generation in Text-based GamesConference on Empirical Methods in Natural Language Processing (EMNLP)Shunyu Yao, Rohan Rao, Matthew Hausknecht, et al.2020 · 127 citations
  6. A Recipe For Arbitrary Text Style Transfer with Large Language ModelsarXiv:2109.03910Emily Reif, Daphne Ippolito, Ann Yuan, et al.2021 · 126 citations
  7. An Improved Baseline for Sentence-level Relation ExtractionConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Wenxuan Zhou, Muhao Chen2022 · 124 citations
  8. Revisiting the Uniform Information Density HypothesisConference on Empirical Methods in Natural Language Processing (EMNLP)Clara Meister, Tiago Pimentel, Patrick Haller, et al.2021 · 123 citations
  9. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 121 citations
  10. Unlearn What You Want to Forget: Efficient Unlearning for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaao Chen, Diyi Yang2023 · 120 citations
  11. I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 120 citations
  12. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
  13. Logical Fallacy DetectionFindings of the Association for Computational LinguisticsZhijing Jin, Abhinav Lalwani, Tejas Vaidhya, et al.2022 · 119 citations
  14. Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsFindings of the Association for Computational LinguisticsKai Zhang, Bernal Jimenez Gutierrez, Yu Su2023 · 118 citations
  15. Pretraining Language Models with Human PreferencesarXiv:2302.08582Tomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 118 citations
  16. The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English WritersarXiv:2101.09157Daniel Buschek, Martin Zurn, Malin Eiband2021 · 118 citations
  17. ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFindings of the Association for Computational LinguisticsFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 116 citations
  18. Quantifying the Persona Effect in LLM SimulationsAnnual Meeting of the Association for Computational Linguistics (ACL)Tiancheng Hu, Nigel Collier2024 · 116 citations
  19. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Seungone Kim, Se Joo, Doyoung Kim, et al.2023 · 116 citations
  20. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 116 citations
  21. KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Donghan Yu, Chenguang Zhu, Yuwei Fang, et al.2022 · 115 citations
  22. Making Science Simple: Corpora for the Lay Summarisation of Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)Tomas Goldsack, Zhihao Zhang, Chenghua Lin, et al.2022 · 115 citations
  23. Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic FeaturesConference on Empirical Methods in Natural Language Processing (EMNLP)Bruce W. Lee, Yoo Sung Jang, Jason Lee2021 · 115 citations
  24. Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender BiasWorkshop on Gender Bias in Natural Language ProcessingMarion Bartl, Malvina Nissim, Albert Gatt2020 · 115 citations
  25. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationarXiv:2310.04408Fangyuan Xu, Weijia Shi, Eunsol Choi2023 · 114 citations
  26. Aspect-Controllable Opinion SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata2021 · 114 citations
  27. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  28. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 113 citations
  29. PandaGPT: One Model To Instruction-Follow Them AllarXiv:2305.16355Yixuan Su, Tian Lan, Huayang Li, et al.2023 · 113 citations
  30. Ground-Truth Labels Matter: A Deeper Look into Input-Label DemonstrationsConference on Empirical Methods in Natural Language Processing (EMNLP)Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, et al.2022 · 113 citations
  31. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingarXiv:2402.02057Yichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 112 citations
  32. A Critical Evaluation of Evaluations for Long-form Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Fangyuan Xu, Yixiao Song, Mohit Iyyer, et al.2023 · 112 citations
  33. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 112 citations
  34. Logic-Guided Data Augmentation and Regularization for Consistent Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Akari Asai, Hannaneh Hajishirzi2020 · 111 citations
  35. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
  36. WiCE: Real-World Entailment for Claims in WikipediaConference on Empirical Methods in Natural Language Processing (EMNLP)Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, et al.2023 · 109 citations
  37. Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption ContestAnnual Meeting of the Association for Computational Linguistics (ACL)Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.2023 · 107 citations
  38. End-to-End Bias Mitigation by Modelling Biases in CorporaAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson2020 · 107 citations
  39. LEDGAR: A Large-Scale Multi-label Corpus for Text Classification of Legal Provisions in ContractsLanguage Resources and Evaluation Conference (LREC)Don Tuggener, Pius von Däniken, Thomas Peetz, et al.2020 · 107 citations
  40. NADI 2022: The Third Nuanced Arabic Dialect Identification Shared TaskArabic Natural Language Processing Workshop (WANLP)Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, et al.2022 · 106 citations
  41. CDLM: Cross-Document Language ModelingFindings of the Association for Computational LinguisticsAvi Caciularu, Arman Cohan, Iz Beltagy, et al.2021 · 106 citations
  42. Complementary Explanations for Effective In-Context LearningFindings of the Association for Computational LinguisticsXi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.2023 · 105 citations
  43. Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Verna Dankers, Christopher Lucas, Ivan Titov2022 · 105 citations
  44. Playing with Words at the National Library of Sweden — Making a Swedish BERTarXiv:2007.01658Martin Malmsten, Love Borjeson, Chris Haffenden2020 · 105 citations
  45. Aspect-Controlled Neural Argument GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych2021 · 103 citations
  46. LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionarXiv:2307.13269Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.2023 · 102 citations
  47. Parallel Context Windows for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nir Ratner, Yoav Levine, Yonatan Belinkov, et al.2023 · 102 citations
  48. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionZhanming Jie, Jierui Li, Wei Lu2022 · 102 citations
  49. On the Safety of Conversational Models: Taxonomy, Dataset, and BenchmarkFindings of the Association for Computational LinguisticsHao Sun, Guangxuan Xu, Jiawen Deng, et al.2022 · 102 citations
  50. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 101 citations
  51. Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 101 citations
  52. FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Wan, Mohit Bansal2022 · 101 citations
  53. PRover: Proof Generation for Interpretable Reasoning over RulesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, et al.2020 · 101 citations
  54. What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task LearningFindings of the Association for Computational LinguisticsJane Pan, Tianyu Gao, Howard Chen, et al.2023 · 100 citations
  55. Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval AugmentationInternational Conference on Computational Linguistics (COLING)Ruiyang Ren, Yuhao Wang, Yingqi Qu, et al.2025 · 99 citations
  56. Evaluating Attribution in Dialogue Systems: The BEGIN BenchmarkTransactions of the Association for Computational Linguistics (TACL)Nouha Dziri, Hannah Rashkin, Tal Linzen, et al.2022 · 99 citations
  57. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningarXiv:2310.03731Ke Wang, Houxing Ren, Aojun Zhou, et al.2023 · 98 citations
  58. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 96 citations
  59. Inseq: An Interpretability Toolkit for Sequence Generation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Gabriele Sarti, Nils Feldhus, Ludwig Sickert, et al.2023 · 96 citations
  60. MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Yulin Chen, Ning Ding, et al.2022 · 96 citations
  61. Cross-Domain Label-Adaptive Stance DetectionConference on Empirical Methods in Natural Language Processing (EMNLP)Momchil Hardalov, Arnav Arora, Preslav Nakov, et al.2021 · 96 citations
  62. LinCE: A Centralized Benchmark for Linguistic Code-switching EvaluationLanguage Resources and Evaluation Conference (LREC)Gustavo Aguilar, Sudipta Kar, Thamar Solorio2020 · 96 citations
  63. SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health SupportFindings of the Association for Computational LinguisticsHuachuan Qiu, Hongliang He, Shuai Zhang, et al.2024 · 95 citations
  64. Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank AdaptationarXiv:2305.15011Haonan Li, Fajri Koto, Minghao Wu, et al.2023 · 95 citations
  65. Dictionary-based Phrase-level Prompting of Large Language Models for Machine TranslationarXiv:2302.07856Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer2023 · 95 citations
  66. MAmmoTH2: Scaling Instructions from the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
  67. Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via DebateFindings of the Association for Computational LinguisticsKai Xiong, Xiao Ding, Yixin Cao, et al.2023 · 94 citations
  68. Efficient Long-Text Understanding with Short-Text ModelsTransactions of the Association for Computational Linguistics (TACL)Maor Ivgi, Uri Shaham, Jonathan Berant2023 · 93 citations
  69. Tailor: Generating and Perturbing Text with Semantic ControlsAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Ross, Tongshuang Wu, Hao Peng, et al.2022 · 93 citations
  70. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mihir Parmar, Nisarg Patel, Neeraj Varshney, et al.2024 · 92 citations
  71. INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language ModelsarXiv:2306.04757Yew Ken Chia, Pengfei Hong, Lidong Bing, et al.2023 · 92 citations
  72. LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive MemoryarXiv:2410.10813Di Wu, Hongwei Wang, Wenhao Yu, et al.2024 · 91 citations
  73. ChatHaruhi: Reviving Anime Character in Reality via Large Language ModelarXiv:2308.09597Cheng Li, Ziang Leng, Chenxi Yan, et al.2023 · 91 citations
  74. As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other LanguagesFindings of the Association for Computational LinguisticsWietse de Vries, Malvina Nissim2021 · 91 citations
  75. TransQuest: Translation Quality Estimation with Cross-lingual TransformersInternational Conference on Computational Linguistics (COLING)Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov2020 · 91 citations
  76. PLACES: Prompting Language Models for Social Conversation SynthesisFindings of the Association for Computational LinguisticsMaximillian Chen, Alexandros Papangelis, Chenyang Tao, et al.2023 · 90 citations
  77. WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language modelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz2022 · 90 citations
  78. Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Andrea Sottana, Bin Liang, Kai Zou, et al.2023 · 89 citations
  79. Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xudong Lu, Qi Liu, Yuhui Xu, et al.2024 · 88 citations
  80. Learning to Filter Context for Retrieval-Augmented GenerationarXiv:2311.08377Zhiruo Wang, Jun Araki, Zhengbao Jiang, et al.2023 · 88 citations
  81. On the Tool Manipulation Capability of Open-source Large Language ModelsarXiv:2305.16504Qiantong Xu, Fenglu Hong, Bo Li, et al.2023 · 88 citations
  82. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
  83. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 87 citations
  84. First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTConference of the European Chapter of the Association for Computational Linguistics (EACL)Benjamin Muller, Yanai Elazar, Benoît Sagot, et al.2021 · 87 citations
  85. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsConference on Neural Information Processing Systems (NeurIPS)Laura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  86. How to Adapt Your Pretrained Multilingual Model to 1600 LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Abteen Ebrahimi, Katharina Kann2021 · 86 citations
  87. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 85 citations
  88. ADaPT: As-Needed Decomposition and Planning with Language ModelsFindings of the Association for Computational LinguisticsArchiki Prasad, Alexander Koller, Mareike Hartmann, et al.2024 · 85 citations
  89. BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual TransferConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.2024 · 85 citations
  90. FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Jiang, Yufei Wang, Xingshan Zeng, et al.2024 · 85 citations
  91. LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Tong Zhu, Xiaoye Qu, Daize Dong, et al.2024 · 85 citations
  92. When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Tyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.2024 · 85 citations
  93. Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOMarXiv:2303.01911Rachel Bawden, François Yvon2023 · 85 citations
  94. Multilingual Large Language Models Are Not (Yet) Code-SwitchersConference on Empirical Methods in Natural Language Processing (EMNLP)Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, et al.2023 · 85 citations
  95. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationNorthern European Journal of Language TechnologyKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 85 citations
  96. Solving Math Word Problems via Cooperative Reasoning induced Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Zhu, Junjie Wang, Lin Zhang, et al.2023 · 85 citations
  97. Finding Skill Neurons in Pre-trained Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, et al.2022 · 85 citations
  98. Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared TaskConference on Machine Translation (WMT)Ricardo Rei, Ana C Farinha, Chrysoula Zerva, et al.2021 · 85 citations
  99. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 84 citations
  100. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, et al.2024 · 83 citations

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