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Who cites Carissa Schoenick

2,131 citations of their works from 2,111 papers of our library (of the 149,439 whose bibliographies we read) · 532 with a page here, the most cited first · page 4 of 6 · 301–400 · ← Carissa Schoenick

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  1. Language Resources for Dutch Large Language ModellingarXiv:2312.12852Bram Vanroy2023 · 15 citations
  2. TigerBot: An Open Multilingual Multitask LLMarXiv:2312.08688Ye Chen, Wei Cai, Liangmin Wu, et al.2023 · 15 citations
  3. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language ModelsarXiv:2311.15930Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, et al.2023 · 15 citations
  4. Jais 2: A Family of Arabic-Centric Open Large Language ModelsarXiv:2608.13580Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
  5. Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?Findings of the Association for Computational LinguisticsZhiting Mei, Christina Zhang, Tenny Yin, et al.2026 · 14 citations
  6. Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of ArabicArabic Natural Language Processing Conference (ArabicNLP)Sabri Boughorbel, Majd Hawasly2023 · 14 citations
  7. StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Kaiyi Zhang, Ang Lv, Jinpeng Li, et al.2026 · 13 citations
  8. Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Emre Can Acikgoz, Jeremiah Greer, Akul Datta, et al.2025 · 13 citations
  9. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 13 citations
  10. LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jianghao Chen, Junhong Wu, Yangyifan Xu, et al.2025 · 12 citations
  11. SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language ModelsInternational Conference on Computational Linguistics (COLING)Huanxuan Liao, Shizhu He, Yupu Hao, et al.2025 · 12 citations
  12. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
  13. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
  14. Fanar 2.0: Arabic Generative AI StackarXiv:2603.16397FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.2026 · 11 citations
  15. AIN: The Arabic INclusive Large Multimodal ModelarXiv:2502.00094Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.2025 · 11 citations
  16. Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?Annual Meeting of the Association for Computational Linguistics (ACL)Leyi Pan, Aiwei Liu, Shiyu Huang, et al.2025 · 11 citations
  17. From Language to Cognition: How LLMs Outgrow the Human Language NetworkConference on Empirical Methods in Natural Language Processing (EMNLP)Badr AlKhamissi, Greta Tuckute, Yingtian Tang, et al.2025 · 11 citations
  18. Grounding Multilingual Multimodal LLMs With Cultural KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP)Jean De Dieu Nyandwi, Yueqi Song, Simran Khanuja, et al.2025 · 11 citations
  19. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
  20. Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary ExpansionAnnual Meeting of the Association for Computational Linguistics (ACL)Jianqing Zhu, Huang Huang, Zhihang Lin, et al.2025 · 11 citations
  21. E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language ModelsarXiv:2401.15927Jinchang Hou, Chang Ao, Haihong Wu, et al.2024 · 11 citations
  22. Pragmatic Competence Evaluation of Large Language Models for the Korean LanguagePacific Asia Conference on Language, Information and Computation (PACLIC)Dojun Park, Jiwoo Lee, Hyeyun Jeong, et al.2024 · 11 citations
  23. InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and ReflectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuhang Liu, Pengxiang Li, Zishu Wei, et al.2026 · 10 citations
  24. Disentangling Language and Culture for Evaluating Multilingual Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Ying, Wei Tang, Yiran Zhao, et al.2025 · 10 citations
  25. 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
  26. Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-ThoughtarXiv:2505.15431Tencent Hunyuan Team, Ao Liu, Botong Zhou, et al.2025 · 10 citations
  27. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
  28. JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language ModelsarXiv:2501.14851Michael K. Chen, Xikun Zhang, Dacheng Tao2025 · 10 citations
  29. Knowledge Distillation of Black-Box Large Language ModelsarXiv:2401.07013Hongzhan Chen, Ruijun Chen, Yuqi Yi, et al.2024 · 10 citations
  30. Debiasing Algorithm through Model AdaptationarXiv:2310.18913Tomasz Limisiewicz, David Mareček, Tomaš Musil2023 · 10 citations
  31. Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.2025 · 9 citations
  32. VisualWebInstruct: Scaling up Multimodal Instruction Data through Web SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Yiming Jia, Jiachen Li, Xiang Yue, et al.2025 · 9 citations
  33. CTPD: Cross Tokenizer Preference DistillationarXiv:2601.11865Truong Nguyen, Phi Van Dat, Ngan Nguyen, et al.2026 · 8 citations
  34. Faster MoE LLM Inference for Extremely Large ModelsFindings of the Association for Computational LinguisticsHaoqi Yang, Luohe Shi, Qiwei Li, et al.2026 · 8 citations
  35. Nature-Inspired Population-Based Evolution of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiqun Zhang, Peng Ye, Xiaocui Yang, et al.2026 · 8 citations
  36. EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence CheckingConference on Empirical Methods in Natural Language Processing (EMNLP)Anjiang Wei, Jiannan Cao, Ran Li, et al.2025 · 8 citations
  37. Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhi Xu, Hang Yan, Chang Ma, et al.2025 · 8 citations
  38. 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
  39. On Many-Shot In-Context Learning for Long-Context EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Kaijian Zou, Muhammad Khalifa, Lu Wang2025 · 8 citations
  40. PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsarXiv:2402.02791Yehui Tang, Kai Han, Fangcheng Liu, et al.2024 · 8 citations
  41. Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Yang Zhang, Amr Mohamed, Hadi Abdine, et al.2026 · 7 citations
  42. DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gaurav Srivastava, Zhenyu Bi, Meng Lu, et al.2025 · 7 citations
  43. Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy MaximizationInternational Conference on Computational Linguistics (COLING)Zhaohan Zhang, Ziquan Liu, Ioannis Patras2025 · 7 citations
  44. ICLEval: Evaluating In-Context Learning Ability of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.2025 · 7 citations
  45. MoM: Linear Sequence Modeling with Mixture-of-MemoriesarXiv:2502.13685Jusen Du, Weigao Sun, Disen Lan, et al.2025 · 7 citations
  46. NorEval: A Norwegian Language Understanding and Generation Evaluation BenchmarkFindings of the Association for Computational LinguisticsVladislav Mikhailov, Tita Enstad, David Samuel, et al.2025 · 7 citations
  47. WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More ChallengingAnnual Meeting of the Association for Computational Linguistics (ACL)Ahmed Elhady, Eneko Agirre, Mikel Artetxe2025 · 7 citations
  48. Enhancing Systematic Decompositional Natural Language Inference Using Informal LogicConference on Empirical Methods in Natural Language Processing (EMNLP)Nathaniel Weir, Kate Sanders, Orion Weller, et al.2024 · 7 citations
  49. FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive DistillationarXiv:2407.07093Liqun Ma, Mingjie Sun, Zhiqiang Shen2024 · 7 citations
  50. GRIN: GRadient-INformed MoEarXiv:2409.12136Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.2024 · 7 citations
  51. Demystifying Multi-Agent Debate: The Role of Confidence and DiversityFindings of the Association for Computational LinguisticsXiaochen Zhu, Caiqi Zhang, Yizhou Chi, et al.2026 · 6 citations
  52. PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Zhang, Lyu Mengsi, Zhuo Chen, et al.2026 · 6 citations
  53. RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yihong Dong, Xue Jiang, Yongding Tao, et al.2026 · 6 citations
  54. Softpick: No Attention Sink, No Massive Activations with Rectified SoftmaxFindings of the Association for Computational LinguisticsZayd Muhammad Kawakibi Zuhri, Erland Hilman Fuadi, Alham Fikri Aji2026 · 6 citations
  55. 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
  56. BeamLoRA: Beam-Constraint Low-Rank AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Naibin Gu, Zhenyu Zhang, Xiyu Liu, et al.2025 · 6 citations
  57. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
  58. Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUsarXiv:2504.07866Yichun Yin, Wenyong Huang, Kaikai Song, et al.2025 · 6 citations
  59. 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
  60. SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in ChinesearXiv:2401.11819Liang Xu, Hang Xue, Lei Zhu, et al.2024 · 6 citations
  61. ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoqian Meng, Yilun Luo, Yafei Zhao, et al.2026 · 5 citations
  62. Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language ModelsFindings of the Association for Computational LinguisticsHe Xiao, Qingyao Yang, Dirui Xie, et al.2026 · 5 citations
  63. Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint VerbalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kerem Zaman, Shashank Srivastava2026 · 5 citations
  64. Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026 · 5 citations
  65. 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
  66. SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Gayathri Saranathan, Cong Xu, Mahammad Parwez Alam, et al.2025 · 5 citations
  67. Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generationConference of the European Chapter of the Association for Computational Linguistics (EACL)Thomas F Burns, Letitia Parcalabescu, Stephan Waeldchen, et al.2026 · 4 citations
  68. ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token SelectionFindings of the Association for Computational LinguisticsTao Liu, Taiqiang Wu, Runming Yang, et al.2026 · 4 citations
  69. CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation BackdoorConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenhua Xu, Xixiang Zhao, Xubin Yue, et al.2025 · 4 citations
  70. Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUsarXiv:2503.05139Ling Team; Binwei Zeng; Chao Huang; Chao Zhang; Changxin Tian; Cong Chen; Dingnan Jin; Feng Yu; Feng Zhu; Feng Yuan; Fakang Wang; Gangshan Wang; Guangyao Zhai; Haitao Zhang; Huizhong Li; Jun Zhou; Jia Liu; Junpeng Fang; Junjie Ou; Jun Hu; Ji Luo; Ji Zhang; Jian Liu; Jian Sha; Jianxue Qian; Jiewei Wu; Junping Zhao; Jianguo Li; Jubao Feng; Jingchao Di; Junming Xu; Jinghua Yao; Kuan Xu; Kewei Du; Longfei Li; Lei Liang; Lu Yu; Li Tang; Lin Ju; Peng Xu; Qing Cui; Song Liu; Shicheng Li; Shun Song; Song Yan; Tengwei Cai; Tianyi Chen; Ting Guo; Ting Huang; Tao Feng; Tao Wu; Wei Wu; Xiaolu Zhang; Xueming Yang; Xin Zhao; Xiaobo Hu; Xin Lin; Yao Zhao; Yilong Wang; Yongzhen Guo; Yuanyuan Wang; Yue Yang; Yang Cao; Yuhao Fu; Yi Xiong; Yanzhe Li; Zhe Li; Zhiqiang Zhang; Ziqi Liu; Zhaoxin Huan; Zujie Wen; Zhenhang Sun; Zhuoxuan Du;, Zhengyu He2025 · 4 citations
  71. Llama-GENBA-10B: A Trilingual Large Language Model for German, English and BavarianarXiv:2509.05668Michael Hoffmann, Jophin John, Stefan Schweter, et al.2025 · 4 citations
  72. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
  73. 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
  74. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
  75. 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
  76. Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Xi Xiao, Chenrui Ma, Yunbei Zhang, et al.2026 · 3 citations
  77. REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at OnceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuoshi Pan, Qizhi Pei, Yu Li, et al.2026 · 3 citations
  78. Rethinking Prompt Optimizers: From Prompt Merits to OptimizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zixiao Zhu, Hanzhang Zhou, Zijian Feng, et al.2026 · 3 citations
  79. Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMsFindings of the Association for Computational LinguisticsYiheng Yang, Yujie Wang, Chi Ma, et al.2026 · 3 citations
  80. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesConference on Neural Information Processing Systems (NeurIPS)Jiyoung Lee, Seungho Kim, Jieun Han, et al.2025 · 3 citations
  81. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  82. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
  83. From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Egor Maximov, Yulia Kuzkina, Egor Shvetsov, et al.2026 · 2 citations
  84. Improving Romanian LLM Pretraining Data using Diversity and Quality FilteringWorkshop on Language Models for Low-Resource LanguagesVlad-Andrei Negoiță, Mihai Masala, Traian Rebedea2026 · 2 citations
  85. Lizard: An Efficient Linearization Framework for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien Van Nguyen, Huy Huu Nguyen, Ruiyi Zhang, et al.2026 · 2 citations
  86. MiniMax Sparse AttentionarXiv:2606.13392Xunhao Lai, Weiqi Xu, Yufeng Yang, et al.2026 · 2 citations
  87. More Than Efficiency: Embedding Compression Improves Domain Adaptation in Dense RetrievalWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraChunsheng Zuo, Daniel Khashabi2026 · 2 citations
  88. NSF-SciFy: Mining the NSF Awards Database for Scientific ClaimsAnnual Meeting of the Association for Computational Linguistics (ACL)Delip Rao, Weiqiu You, Eric Wong, et al.2026 · 2 citations
  89. One Token Is Enough: Improving Diffusion Language Models with a Sink TokenFindings of the Association for Computational LinguisticsZihou Zhang, Zheyong Xie, Li Zhong, et al.2026 · 2 citations
  90. PHEB: An European Portuguese High School-Level LLM BenchmarkLanguage Resources and Evaluation Conference (LREC)Diogo C. Tavares, Rafael Ferreira, Afonso Simplício, et al.2026 · 2 citations
  91. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations
  92. The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMsFindings of the Association for Computational LinguisticsOmar Mahmoud, Ali Khalil, Thommen George Karimpanal, et al.2026 · 2 citations
  93. Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation UnderstandingFindings of the Association for Computational LinguisticsYeonkyoung So, Gyuseong Lee, Sungmok Jung, et al.2026 · 2 citations
  94. When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Francesco Ortu, Zhijing Jin, Diego Doimo, et al.2026 · 2 citations
  95. Adapting Falcon3-7B Language Model for Arabic: Methods, Challenges, and OutcomesArabic Natural Language Processing Conference (ArabicNLP)Basma El Amel Boussaha, Mohammed Alyafeai, Ahmed Alzubaidi, et al.2025 · 2 citations
  96. Benchmarking Vision Language Models on German Factual DataarXiv:2504.11108Rene Peinl, Vincent Tischler2025 · 2 citations
  97. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
  98. Analytical FFN-to-MoE Restructuring via Activation Pattern AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zehua Pei, Hui-Ling Zhen, Lancheng Zou, et al.2026 · 1 citation
  99. Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Boxuan Wang, Zhuoyun Li, Xinmiao Huang, et al.2026 · 1 citation
  100. Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank SubstitutionFindings of the Association for Computational LinguisticsYuhua Zhou, Shichao Weng, Changhai Zhou, et al.2026 · 1 citation

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