Elamur Research⌕
☰
home / authors / Brian Lester / cited by / page 6

Who cites Brian Lester

3,479 citations of their works from 3,131 papers of our library (of the 149,439 whose bibliographies we read) · 716 with a page here, the most cited first · page 6 of 8 · 501–600 · ← Brian Lester

1 … 5 6 7 8

  1. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
  2. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  3. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
  4. Teaching Small Language Models Reasoning through Counterfactual DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Feng, Yicheng Li, Chenglin Li, et al.2024 · 21 citations
  5. ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation RecognitionInternational Conference on Computational Linguistics (COLING)Wei Xiang, Zhenglin Wang, Lu Dai, et al.2022 · 21 citations
  6. CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationTransactions of the Association for Computational Linguistics (TACL)Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.2025 · 20 citations
  7. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  8. 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
  9. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Dayu Yang, Tianyang Liu, Daoan Zhang, et al.2025 · 19 citations
  10. ConCISE: Confidence-guided Compression in Step-by-step Efficient ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ziqing Qiao, Yongheng Deng, Jiali Zeng, et al.2025 · 19 citations
  11. Can we obtain significant success in RST discourse parsing by using Large Language Models?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al.2024 · 19 citations
  12. In-Context Principle Learning from MistakesarXiv:2402.05403Tianjun Zhang, Aman Madaan, Luyu Gao, et al.2024 · 19 citations
  13. Suri: Multi-constraint Instruction Following in Long-form Text GenerationFindings of the Association for Computational LinguisticsChau Minh Pham, Simeng Sun, Mohit Iyyer2024 · 19 citations
  14. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsarXiv:2405.02287Piotr Padlewski, Max Bain, Matthew Henderson, et al.2024 · 19 citations
  15. Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Haodong Zhao, Ruifang He, Mengnan Xiao, et al.2023 · 19 citations
  16. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  17. A Survey of Post-Training Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanyu Lai, Xiao Liu, Junjie Gao, et al.2025 · 18 citations
  18. Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic DialectWorkshop on Language Models for Low-Resource LanguagesGuokan Shang, Hadi Abdine, Yousef Khoubrane, et al.2025 · 18 citations
  19. Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and EleganceConference on Empirical Methods in Natural Language Processing (EMNLP)Andong Chen, Lianzhang Lou, Kehai Chen, et al.2025 · 18 citations
  20. Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLMWorkshop on African Natural Language ProcessingYazeed Alnumay, Alexandre Barbet, Anna Bialas, et al.2025 · 18 citations
  21. Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language ModelsLecture notes in computer scienceFeihu Jin, Yifan Liu, Ying Tan2024 · 18 citations
  22. ChatGLM-RLHF: Practices of Aligning Large Language Models with Human FeedbackarXiv:2404.00934Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al.2024 · 17 citations
  23. Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihan Wang, Deli Chen, Damai Dai, et al.2024 · 17 citations
  24. Skills-in-Context Prompting: Unlocking Compositionality in Large Language ModelsarXiv:2308.00304Jiaao Chen, Xiaoman Pan, Dian Yu, et al.2023 · 17 citations
  25. New Trends for Modern Machine Translation with Large Reasoning ModelsLanguage Resources and Evaluation Conference (LREC)Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
  26. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
  27. Soft Prompting for Unlearning in Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Karuna Bhaila, Minh-Hao Van, Xintao Wu2025 · 16 citations
  28. Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
  29. StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style ElementsJillian Fisher, Skyler Hallinan, Ximing Lu, et al.2024 · 16 citations
  30. VinaLLaMA: LLaMA-based Vietnamese Foundation ModelarXiv:2312.11011Quan Nguyen, Huy Pham, Dung Dao2023 · 16 citations
  31. Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?Transactions of the Association for Computational Linguistics (TACL)Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen2025 · 15 citations
  32. L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hyesung Jeon, Yulhwa Kim, Jae-Joon Kim2025 · 15 citations
  33. What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Li, Yanhong Li, Tianyi Zhou2025 · 15 citations
  34. Data-driven Discovery with Large Generative ModelsarXiv:2402.13610Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.2024 · 15 citations
  35. Zero and Few-shot Semantic Parsing with Ambiguous InputsarXiv:2306.00824Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme2023 · 15 citations
  36. EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Shi, Rongkeng Liang, Yong Xu2025 · 14 citations
  37. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations
  38. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.2025 · 14 citations
  39. Alignment at Pre-training! Towards Native Alignment for Arabic LLMsConference on Neural Information Processing Systems (NeurIPS)Juhao Liang, Zhenyang Cai, Jianqing Zhu, et al.2024 · 14 citations
  40. Understanding Chain-of-Thought in LLMs through Information TheoryarXiv:2411.11984Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu2024 · 14 citations
  41. ConPET: Continual Parameter-Efficient Tuning for Large Language ModelsarXiv:2309.14763Chenyang Song, Xu Han, Zheni Zeng, et al.2023 · 14 citations
  42. Constituency Parsing using LLMsarXiv:2310.19462Xuefeng Bai, Jialong Wu, Yulong Chen, et al.2023 · 14 citations
  43. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
  44. Safety Alignment via Constrained Knowledge UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zesheng Shi, Yucheng Zhou, Jing Li, et al.2025 · 13 citations
  45. What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction TuningInternational Conference on Computational Linguistics (COLING)Yifan Du, Hangyu Guo, Kun Zhou, et al.2025 · 13 citations
  46. Fast and Effective On-Policy Distillation from Reasoning PrefixesFindings of the Association for Computational LinguisticsDongxu Zhang, Zhichao Yang, Sepehr Janghorbani, et al.2026 · 12 citations
  47. LoRA-drop: Efficient LoRA Parameter Pruning based on Output EvaluationInternational Conference on Computational Linguistics (COLING)Hongyun Zhou, Xiangyu Lu, Wang Xu, et al.2025 · 12 citations
  48. ToDi: Token-wise Distillation via Fine-Grained Divergence ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Seongryong Jung, Suwan Yoon, DongGeon Kim, et al.2025 · 12 citations
  49. An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language ModelsarXiv:2404.03028Emmy Liu, Graham Neubig, Jacob Andreas2024 · 12 citations
  50. Benchmarking LLaMA-3 on Arabic Language Generation TasksArabic Natural Language Processing Conference (ArabicNLP)Md Tawkat Islam Khondaker, Numaan Naeem, Fatimah Khan, et al.2024 · 12 citations
  51. Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual ProgressarXiv:2408.14960Ayomide Odumakinde, Daniel D'souza, Pat Verga, et al.2024 · 12 citations
  52. ELQA: A Corpus of Metalinguistic Questions and Answers about EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, et al.2023 · 12 citations
  53. The ICL Consistency TestarXiv:2312.04945Lucas Weber, Elia Bruni, Dieuwke Hupkes2023 · 12 citations
  54. 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
  55. Explaining Relationships Among Research PapersInternational Conference on Computational Linguistics (COLING)Xiangci Li, Jessica Ouyang2025 · 11 citations
  56. 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
  57. 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
  58. CLEVA: Chinese Language Models EVAluation PlatformarXiv:2308.04813Yanyang Li, Jianqiao Zhao, Duo Zheng, et al.2023 · 11 citations
  59. Mixed Distillation Helps Smaller Language Model Better ReasoningarXiv:2312.10730Chenglin Li, Qianglong Chen, Liangyue Li, et al.2023 · 11 citations
  60. Factual Dialogue Summarization via Learning from Large Language ModelsInternational Conference on Computational Linguistics (COLING)Rongxin Zhu, Jey Han Lau, Jianzhong Qi2025 · 10 citations
  61. FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language ModelsInternational Conference on Computational Linguistics (COLING)Tao Fan, Guoqiang Ma, Yan Kang, et al.2025 · 10 citations
  62. 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
  63. Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language ModelInternational Conference on Computational Linguistics (COLING)Haoyun Xu, Runzhe Zhan, Yingpeng Ma, et al.2025 · 10 citations
  64. 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
  65. A Generative Approach for Mitigating Structural Biases in Natural Language InferenceJoint Conference on Lexical and Computational Semantics (*SEM)Dimion Asael, Zachary Ziegler, Yonatan Belinkov2022 · 10 citations
  66. 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
  67. 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
  68. Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checkingInternational Conference on Computational Linguistics (COLING)Dina Pisarevskaya, Arkaitz Zubiaga2025 · 9 citations
  69. Taxonomy Tree Generation from Citation GrapharXiv:2410.03761Yuntong Hu, Zhuofeng Li, Zheng Zhang, et al.2024 · 9 citations
  70. Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHFarXiv:2309.09055Simeng Sun, Dhawal Gupta, Mohit Iyyer2023 · 9 citations
  71. 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
  72. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi He, Yihao Liu, Mengyu Zhou, et al.2025 · 8 citations
  73. 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
  74. Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinman Zhao, Xueyan Zhang, Jiaru Li, et al.2025 · 8 citations
  75. 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
  76. 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
  77. Dialect & Sentiment Identification in Nuanced Arabic Tweets Using an Ensemble of Prompt-based, Fine-tuned, and Multitask BERT-Based ModelsArabic Natural Language Processing Workshop (WANLP)Reem Abdel-Salam2022 · 8 citations
  78. 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
  79. 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
  80. Case2Code: Scalable Synthetic Data for Code GenerationInternational Conference on Computational Linguistics (COLING)Yunfan Shao, Linyang Li, Yichuan Ma, et al.2025 · 7 citations
  81. 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
  82. 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
  83. RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation FrameworkYifan Wang, Vera Demberg2024 · 7 citations
  84. 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
  85. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
  86. 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
  87. 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
  88. 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
  89. Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog SystemsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sandesh Swamy, Narges Tabari, Chacha Chen, et al.2023 · 6 citations
  90. HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing PerformanceFindings of the Association for Computational LinguisticsHao Zhang, Zhenjia Li, Yifan Gao, et al.2026 · 5 citations
  91. 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
  92. Irony Detection, Reasoning and Understanding in Zero-shot LearningarXiv:2501.16884Peiling Yi, Yuhan Xia, Yunfei Long2025 · 5 citations
  93. RoCoFT: Efficient Finetuning of Large Language Models with Row-Column UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, et al.2025 · 5 citations
  94. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
  95. Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm DetectionConference on Computational Natural Language Learning (CoNLL)Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam2024 · 5 citations
  96. 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
  97. 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
  98. 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
  99. 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
  100. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations

1 … 5 6 7 8

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/brian-lester/cited-by/page/6/