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Who cites «Finetuned Language Models Are Zero-Shot Learners»

1,887 papers of our library cite it (of the 149,439 whose bibliographies we read) · 499 with a page here, the most cited first · page 5 of 5 · 401–499 · ← back to «Finetuned Language Models Are Zero-Shot Learners»

1 … 4 5

  1. The ICL Consistency TestarXiv:2312.04945Lucas Weber, Elia Bruni, Dieuwke Hupkes2023 · 12 citations
  2. Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhe Yang, Yichang Zhang, Yudong Wang, et al.2025 · 11 citations
  3. EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuningarXiv:2410.10209Dong Huang, Guangtao Zeng, Jianbo Dai, et al.2024 · 11 citations
  4. Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative DatasetsFindings of the Association for Computational LinguisticsIsrael Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay, et al.2024 · 11 citations
  5. CLEVA: Chinese Language Models EVAluation PlatformarXiv:2308.04813Yanyang Li, Jianqiao Zhao, Duo Zheng, et al.2023 · 11 citations
  6. Mixed Distillation Helps Smaller Language Model Better ReasoningarXiv:2312.10730Chenglin Li, Qianglong Chen, Liangyue Li, et al.2023 · 11 citations
  7. Factual Dialogue Summarization via Learning from Large Language ModelsInternational Conference on Computational Linguistics (COLING)Rongxin Zhu, Jey Han Lau, Jianzhong Qi2025 · 10 citations
  8. IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute RandomizationInternational Joint Conference on Natural Language Processing (IJCNLP)Ahmed Frikha, Nassim Walha, Krishna Kanth Nakka, et al.2025 · 10 citations
  9. Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMsInternational Conference on Computational Linguistics (COLING)Tamzeed Mahfuz, Satak Kumar Dey, Ruwad Naswan, et al.2025 · 10 citations
  10. AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yun He, Wenzhe Li, Hejia Zhang, et al.2026 · 9 citations
  11. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific NeuronsInternational Conference on Computational Linguistics (COLING)Yongqi Leng, Deyi Xiong2025 · 9 citations
  12. Nudging: Inference-time Alignment of LLMs via Guided DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Fei, Yasaman Razeghi, Sameer Singh2025 · 8 citations
  13. The Nature of NLP: Analyzing Contributions in NLP PapersAnnual Meeting of the Association for Computational Linguistics (ACL)Aniket Pramanick, Yufang Hou, Saif M. Mohammad, et al.2025 · 8 citations
  14. Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationarXiv:2401.06477Tianyu Zheng; Shuyue Guo; Xingwei Qu; Jiawei Guo; Xinrun Du; Qi Jia; Chenghua Lin; Wenhao Huang; Jie Fu;, Ge Zhang2024 · 8 citations
  15. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishWorkshop on the Role of Resources in the Age of Large Language ModelsOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  16. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
  17. Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context LearningInternational Conference on Computational Linguistics (COLING)Piyapath T. Spencer, Nanthipat Kongborrirak2025 · 7 citations
  18. Case2Code: Scalable Synthetic Data for Code GenerationInternational Conference on Computational Linguistics (COLING)Yunfan Shao, Linyang Li, Yichuan Ma, et al.2025 · 7 citations
  19. Language Adaptation of Large Language Models: An Empirical Study on LLaMA2International Conference on Computational Linguistics (COLING)Shumin Wang, Yuexiang Xie, Bolin Ding, et al.2025 · 7 citations
  20. UltraIF: Advancing Instruction Following from the WildConference on Empirical Methods in Natural Language Processing (EMNLP)Kaikai An, Li Sheng, Ganqu Cui, et al.2025 · 7 citations
  21. RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation FrameworkYifan Wang, Vera Demberg2024 · 7 citations
  22. Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMsFindings of the Association for Computational LinguisticsZara Siddique, Irtaza Khalid, Liam Turner, et al.2026 · 6 citations
  23. Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.2025 · 6 citations
  24. 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
  25. Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode TheoryConference on Empirical Methods in Natural Language Processing (EMNLP)Ming Li, Nan Zhang, Chenrui Fan, et al.2025 · 6 citations
  26. Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy ParadigmConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuo Li, Yuhao Du, Xiaoqi Jiao, et al.2025 · 5 citations
  27. Irony Detection, Reasoning and Understanding in Zero-shot LearningarXiv:2501.16884Peiling Yi, Yuhan Xia, Yunfei Long2025 · 5 citations
  28. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
  29. Spotlight Your Instructions: Instruction-following with Dynamic Attention SteeringConference of the European Chapter of the Association for Computational Linguistics (EACL)Praveen Venkateswaran, Danish Contractor2026 · 4 citations
  30. Large Language Models as a Normalizer for Transliteration and Dialectal TranslationWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Md Mahfuz Ibn Alam, Antonios Anastasopoulos2025 · 4 citations
  31. Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dipankar Srirag, Aditya Joshi, Jacob Eisenstein2025 · 4 citations
  32. SDD: Self-Degraded Defense against Malicious Fine-tuningAnnual Meeting of the Association for Computational Linguistics (ACL)ZiXuan Chen, Weikai Lu, Xin Lin, et al.2025 · 4 citations
  33. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
  34. Decoding News Narratives: A Critical Analysis of Large Language Models in Framing DetectionWorkshop on Natural Language Processing for Political SciencesValeria Pastorino, Jasivan Alex Sivakumar, Nafise Sadat Moosavi2026 · 3 citations
  35. Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
  36. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
  37. Latent Agents: A Post-Training Procedure for Internalized Multi-Agent DebateAnnual Meeting of the Association for Computational Linguistics (ACL)John Seon Keun Yi, Aaron Mueller, Dokyun Lee2026 · 2 citations
  38. Qomhrá: A Bilingual Irish and English Large Language ModelWorkshop on Language Models for Low-Resource LanguagesJoseph McInerney, Khanh-Tung Tran, Liam Lonergan, et al.2026 · 2 citations
  39. A Platform for Generating Educational Activities to Teach English as a Second LanguagearXiv:2504.20251Aiala Rosa, Santiago Gongora, Juan Pablo Filevich, et al.2025 · 2 citations
  40. Compatibility-Aware Dynamic Fine-Tuning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Zhou, Junwei Sheng, Qianning Wang, et al.2026 · 1 citation
  41. DMRetriever: A Family of Models for Improved Text Retrieval in Disaster ManagementAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Yin, Xiangjue Dong, Chengkai Liu, et al.2026 · 1 citation
  42. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras2026 · 1 citation
  43. PromptLab: A Collaborative Platform for Prompt Engineering and Dataset CurationConference of the European Chapter of the Association for Computational Linguistics (EACL)Maged S. Al-shaibani, Zaid Alyafeai, Dania Refai, et al.2026 · 1 citation
  44. Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient OrganizationAnnual Meeting of the Association for Computational Linguistics (ACL)Jia Liu, Jiaxin Luo, Weiwen Xu, et al.2026 · 1 citation
  45. SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huy Nghiem, Advik Sachdeva, Hal Daumé Iii2026 · 1 citation
  46. UIT-Polar at SemEval-2026 Task 9 Detecting Multilingual, Multicultural and Multievent Online PolarizationInternational Workshop on Semantic Evaluation (SemEval)Hoàn Trần2026 · 1 citation
  47. x1: Learning to Think Adaptively Across Languages and CulturesFindings of the Association for Computational LinguisticsYangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.2026 · 1 citation
  48. Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve TasksInternational Workshop on Construction Grammars and NLPHarish Tayyar Madabushi, Claire Bonial2025 · 1 citation
  49. A Layer-wise Analysis of Supervised Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Qinghua Zhao, Xueling Gong, Xinyu Chen, et al.2026
  50. ArabicNumBench: Evaluating Arabic Number Reading in Large Language ModelsarXiv:2602.18776Anas Alhumud, Abdulaziz Alhammadi, Muhammad Badruddin Khan2026
  51. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026
  52. Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real WorldFindings of the Association for Computational LinguisticsYulong Wu, Viktor Schlegel, Riza Batista-Navarro2026
  53. CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG HallucinationsFindings of the Association for Computational LinguisticsJinWei Shi, Qizhuo Xie, Qianzi Hou, et al.2026
  54. CodeRise: Bootstrapping LLMs for Ultra Low-Resource Programming Languages via Progressive Self-Refinement CurriculumFindings of the Association for Computational LinguisticsTengfei Wen, Xuanang Chen, Ben He, et al.2026
  55. Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context InferenceFindings of the Association for Computational LinguisticsWenxuan Xie, Xuhong Wang2026
  56. Delayed Wh-Question Development in Children with Hearing Loss: Evidence for Morphosyntactic Vulnerability from Corpus-Based NLP and LLM AnalysesWorkshop on Linguistic Analysis for HealthTong Wu2026
  57. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning CollectionsFindings of the Association for Computational LinguisticsHaebin Shin, Lei Ji, Xiao Liu, et al.2026
  58. D²-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware DecodingFindings of the Association for Computational LinguisticsJinshuo Zhang, Xiaoding Zhou, Weiyu Zhang, et al.2026
  59. From Recognition to Reasoning: Benchmarking and Enhancing MLLMs on Real-World Receipt Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yandi Wang, Libin Zhan, Ziwei Huang, et al.2026
  60. GCIG: GraphRAG-based Cross-document Instruction Generation for Boosting LLM ReasoningFindings of the Association for Computational LinguisticsXiaoliang Xu, Huang Yuan, Junmei Wang, et al.2026
  61. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
  62. InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in SummarizationLanguage Resources and Evaluation Conference (LREC)Kosuke Nishida, Kyosuke Nishida, Itsumi Saito2026
  63. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain GeneralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tian Xueyun, MingHua Ma, Bingbing Xu, et al.2026
  64. LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape ElevationFindings of the Association for Computational LinguisticsJin Zhong, Jinglin Liang, Tongtong Yang, et al.2026
  65. LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.2026
  66. Mapping the Course for Prompt-based Structured PredictionConference of the European Chapter of the Association for Computational Linguistics (EACL)Matt Pauk, Maria Leonor Pacheco2026
  67. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026
  68. Multilingual and Cross-Lingual Citation Needed Detection on Wikipedia for Lower-Resource LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Gerrit Quaremba, Amy Rechkemmer, Elizabeth Black, et al.2026
  69. Multimodal Dual-Path Decoding for Medical Report GenerationFindings of the Association for Computational LinguisticsJinghan Sun, Dong Wei, Zhihong Zhu, et al.2026
  70. MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African LanguagesLanguage Resources and Evaluation Conference (LREC)Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.2026
  71. Position: Scores Without Context? Rethinking the Role of Evaluation in the Era of LLMsWorkshop on Generation, Evaluation and Metrics (GEM)Jiawei Zhou2026
  72. PSK@EEUCA 2026: Fine-tuning Large Language Models with Synthetic Data Augmentation for Multi-class Toxicity Detection in Gaming ChatWorkshop on Event Extraction and Understanding: Challenges and ApplicationsSrikar Kashyap Pulipaka2026
  73. Ranking Human and LLM Texts Using Locality StatisticsFindings of the Association for Computational LinguisticsYiyang Wang, Chen Ding, Hangfeng He2026
  74. 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
  75. RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-ContextTransactions of the Association for Computational Linguistics (TACL)Jackson Petty, Michael Y. Hu, Wentao Wang, et al.2026
  76. Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New PerspectivesFindings of the Association for Computational LinguisticsYajiao Liu, Congliang Chen, Junchi Yang, et al.2026
  77. Revisiting Self-Play Preference Optimization: On the Role of Prompt DifficultyFindings of the Association for Computational LinguisticsYao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, et al.2026
  78. Robust Explanations for User Trust in Enterprise NLP SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guilin Zhang, Kai Zhao, Jeffrey Friedman, et al.2026
  79. Safe-FedLLM: Delving into the Safety of Federated Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.2026
  80. SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive LearningFindings of the Association for Computational LinguisticsBoyan Shi, Wei Chen, Shuyuan Zhao, et al.2026
  81. Scaling Intent Understanding: A Framework for Classification with Clarification using Lightweight LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Subhadip Nandi, Tanishka Agarwal, Anshika Singh, et al.2026
  82. Shuttle Between Symbolic Instructions and Neural Parameters of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wangtao Sun, Haotian Xu, Huanxuan Liao, et al.2026
  83. SOP-Maze: Evaluating Large Language Models on Complicated Business Standard Operating ProceduresFindings of the Association for Computational LinguisticsJiaming Wang, Zhe Tang, Zehao Jin, et al.2026
  84. SteuerLLM: Local specialized large language model for German tax law analysisarXiv:2602.11081 · Scientific Reports, Volume 16, 2026Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.2026
  85. Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningLanguage Resources and Evaluation Conference (LREC)Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026
  86. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  87. Think Before you Write: QA-Guided Reasoning for Character Descriptions in BooksFindings of the Association for Computational LinguisticsArgyrios Papoudakis, Mirella Lapata, Frank Keller2026
  88. Ultra-Low-Dimensional Prompt Tuning via Random ProjectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Zijun Wu, Yongchang Hao, Lili Mou2026
  89. Understanding the Prompt SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Chenhui Chu2026
  90. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026
  91. We Are What We Repeatedly Do: Improving Long Context Instruction FollowingFindings of the Association for Computational LinguisticsPreston K Robinette, Andrew Hard, Swaroop Ramaswamy, et al.2026
  92. What Tokens Truly Matter? The Logit Conflation Problem in LLM SamplingFindings of the Association for Computational LinguisticsPinlong Zhao, Huijun Tang, Pengfei Jiao, et al.2026
  93. When Discourse Pressures Conflict: Information Structure in Vision-Language Model OutputsarXiv:2605.28346Marcell Fekete, Johannes Bjerva, Tamas Kaldi2026
  94. Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?Findings of the Association for Computational LinguisticsChristophe Ye, Cassie S. Mitchell2026
  95. You Only Need One Single Token to Refine Safety AlignmentFindings of the Association for Computational LinguisticsWenqian Yu, Shuo Chen, Zhijiang Li, et al.2026
  96. SLENDER: Structured Outputs for SLM-based NER in Low-Resource EnglishesAnnual Meeting of the Association for Computational Linguistics (ACL)Nicole Ren, James Teo2025
  97. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024
  98. Robustness of GPT Large Language Models on Natural Language Processing Tasks (GPT系列大语言模型在自然语言处理任务中的鲁棒性)Journal of Computer Research and DevelopmentXuanting Chen (陈炫婷), Junjie Ye (叶俊杰), Can Zu (祖璨), et al.2024
  99. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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