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Who cites Yuri Burda

2,946 citations of their works from 2,916 papers of our library (of the 149,439 whose bibliographies we read) · 794 with a page here, the most cited first · page 8 of 8 · 701–794 · ← Yuri Burda

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  1. CANDICE: Agentic Causal Disentanglement with Class Conditional Knowledge Integration for Long Tailed Domain GeneralizationFindings of the Association for Computational LinguisticsMidhat Urooj, Ayan Banerjee, Sandeep Gupta2026
  2. CIA: Inferring the Communication Topology from LLM-based Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxuan Wu, Xixun Lin, He Zhang, et al.2026
  3. code-transformed: The Influence of Large Language Models on CodeFindings of the Association for Computational LinguisticsYuliang Xu, Siming Huang, Mingmeng Geng, et al.2026
  4. CodeRipple: Wavelet-Based Detection of LLM-Generated CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Yao, Zhendong Mao, Quan Wang2026
  5. 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
  6. CodeRM-NT: Reward Model for Code RL without Unit TestsFindings of the Association for Computational LinguisticsXiao Xia, Dan Zhang, Tianrui Sun2026
  7. Contract-Coding: Towards Repo-Level Generation via Structured Symbolic ParadigmFindings of the Association for Computational LinguisticsYilin, Lujin Zhao, Yijie Shi2026
  8. CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace CreditAnnual Meeting of the Association for Computational Linguistics (ACL)Kangyu Wang, Zhiyun Jiang, Haibo Feng, et al.2026
  9. DecoCal: Decoding with Calibration in Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Xu, Huixuan Zhang, Xiaojun Wan2026
  10. 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
  11. Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block GenerationFindings of the Association for Computational LinguisticsYuyan Zhou, Weiyu Chen, James Kwok2026
  12. Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting CircuitsFindings of the Association for Computational LinguisticsYizheng Zhao2026
  13. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent SystemsFindings of the Association for Computational LinguisticsZixu Wang, Bingbing Xu, Yige Yuan, et al.2026
  14. DOS: Dependency-Oriented Sampler for Masked Diffusion Language ModelsFindings of the Association for Computational LinguisticsXueyu Zhou, Yangrong Hu, Jian Huang2026
  15. DSMentor: Curriculum-Guided Inference with Online Memory for Data-Science LLM AgentsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraHe Wang, Alexander Hanbo Li, Yiqun Hu, et al.2026
  16. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning CollectionsFindings of the Association for Computational LinguisticsHaebin Shin, Lei Ji, Xiao Liu, et al.2026
  17. Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit FusionAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhang, Jiuheng Lin, Zhiyuan Liao, et al.2026
  18. EGSS: Entropy-guided Stepwise Scaling for Reliable Software EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Chenhui Mao, Yuanting Lei, Zhixiang Wei, et al.2026
  19. ETR: Entropy Trend Reward for Efficient Chain-of-Thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan Xiong, Huan Liu, Li Gu, et al.2026
  20. Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.2026
  21. Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MASAnnual Meeting of the Association for Computational Linguistics (ACL)Bingyu Yan, Xiaoming Zhang, JinYu Hou, et al.2026
  22. EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent CommunicationFindings of the Association for Computational LinguisticsHeng Zhang, Yihao Zhong, Lubin Gan, et al.2026
  23. Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model FactualityFindings of the Association for Computational LinguisticsMike Zhang, Johannes Bjerva, Russa Biswas2026
  24. From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic HorizonsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyu Ma, Teng Xiao, Zuchao Li, et al.2026
  25. From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQAFindings of the Association for Computational LinguisticsJing Zhang, Lianghong Guo, Yanlin Wang, et al.2026
  26. FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.2026
  27. G-LoRA: Global-Local Decoupled Low-Rank AdaptationFindings of the Association for Computational LinguisticsJiahao Xiong, Yihong Huang, Yihe Liu, et al.2026
  28. GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Ruan, Yichao Du, Jianjie Zheng, et al.2026
  29. GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy InputsFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Xufu Liu, et al.2026
  30. HCSpec: Two-Tier Horizontal Cascade Speculative Decoding for High-Efficiency Large Language Model InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhou Zhang, Siming Chen, Hao Ye, et al.2026
  31. Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, et al.2026
  32. Infinity-MoE: Generalizing Mixture of Experts to Infinite ExpertsConference of the European Chapter of the Association for Computational Linguistics (EACL)Shota Takashiro, Takeshi Kojima, Shohei Taniguchi, et al.2026
  33. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Junyou Su, He Zhu, Xiao Luo, et al.2026
  34. Learning from Failures: Error Notebook-guided Secure Code GenerationFindings of the Association for Computational LinguisticsXinyu Zhong, Peng Lan, Zhifang Liao2026
  35. Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2FormulaAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Shuai, Yiyun Chen, Maolin Ma, et al.2026
  36. LEDOM: Reverse Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Xunjian Yin, Sitao Cheng, Yuxi Xie, et al.2026
  37. LeLoRA: Learnable Low-Rank Adaptation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, et al.2026
  38. LLM-as-Scheduler: Agentic Workflow Dynamic SchedulingAnnual Meeting of the Association for Computational Linguistics (ACL)Dawei Xiang, Kexin Chu, Wenyan Xu, et al.2026
  39. LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence CheckingFindings of the Association for Computational LinguisticsNeeva Oza, Ishaan Govil, Parul Gupta, et al.2026
  40. Localized Low-Rank Adaptation within Clustered Parameter SubspacesAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Xiong, Yihe Liu, Xianming Hu, et al.2026
  41. Low-Rank Compression of Language Models via Differentiable Rank SelectionLanguage Resources and Evaluation Conference (LREC)Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini2026
  42. MARS: Unleashing the Power of Speculative Decoding via Margin-Aware VerificationFindings of the Association for Computational LinguisticsJingwei Song, Xinyu Wang, Hanbin Wang, et al.2026
  43. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe GraphingAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Jinxuan Cai, Yishen Li, et al.2026
  44. MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)ZhenChun Xu, Yi Cai, Dajun Zheng, et al.2026
  45. MAXS: Meta-Adaptive Exploration with LLM AgentsFindings of the Association for Computational LinguisticsJian Zhang, Zhiyuan Wang, Zhangqi Wang, et al.2026
  46. Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yihua Zhu, Qianying Liu, Jiaxin Wang, et al.2026
  47. Memory Dial: A Training Framework for Controllable Memorization in Language ModelsFindings of the Association for Computational LinguisticsXiangbo Zhang, Ali Emami2026
  48. MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Xia, Zheyuan Yang, Arman Cohan, et al.2026
  49. MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token PredictionFindings of the Association for Computational LinguisticsKe Wang, Aohan Zeng, Zhengxiao Du, et al.2026
  50. Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Ayan Sar, Pranav Singh Puri, Sumit Aich, et al.2026
  51. NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution PolicyAnnual Meeting of the Association for Computational Linguistics (ACL)Jiye Wang, Yu Wang, Jianbin Li, et al.2026
  52. Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Zhou, Chi Zhang, Xiang Feng, et al.2026
  53. On the Editability of Delta Parameters in Post-Trained ModelsFindings of the Association for Computational LinguisticsQiaoyu Tang, Le Yu, Bowen Yu, et al.2026
  54. Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RLFindings of the Association for Computational LinguisticsZhaofeng Wu, Shiqi Wang, Boya Peng, et al.2026
  55. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential TomorrowFindings of the Association for Computational LinguisticsYangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.2026
  56. PEC-Home: Interpretation of Progressively Elliptical Commands in Smart HomesFindings of the Association for Computational LinguisticsYingyu Shan, Zeming Liu, Silin Li, et al.2026
  57. PerfCoder: Large Language Models for Interpretable Code Performance OptimizationFindings of the Association for Computational LinguisticsJiuding Yang, Shengyao Lu, Hongxuan Liu, et al.2026
  58. PibE-MPP: A Play-it-by-Ear Masking Performance Plug-in for LLMsFindings of the Association for Computational LinguisticsMengwei Wang, Simin Niu, Xun Liang, et al.2026
  59. PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyu Zheng, Yun Zhu, Yuqian Yuan, et al.2026
  60. RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion DecodingFindings of the Association for Computational LinguisticsQinglin Zeng, Jusheng Zhang, Jing Yang, et al.2026
  61. ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Junyao Yang, Chen Qian, Wen Shen, et al.2026
  62. Reinforcement Learning for Latent-Space Thinking in LLMsEdition of the Swiss Text Analytics ConferenceEnes Özeren, Matthias Assenmacher2026
  63. Rethinking Data Mixing from the Perspective of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjian Xu, Tianze Sun, Changwei Xu, et al.2026
  64. Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making ProblemFindings of the Association for Computational LinguisticsLichang Song, Ting Long, Yi Chang2026
  65. RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiaobin Tian, Shuai Yuan, Muyun Ding, et al.2026
  66. River-LLM: Large Language Model Seamless Exit Based on KV ShareAnnual Meeting of the Association for Computational Linguistics (ACL)Yingtao Shen, An Zou2026
  67. RoBSA: RoPE-based Blockwise Sparse Multi-head Latent AttentionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Shi, Kairong Luo, Zhen Zheng, et al.2026
  68. RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive LearningFindings of the Association for Computational LinguisticsYitao Xiao, Shaoyong Guo, Guoming Yang, et al.2026
  69. ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiasheng Zheng, Xin Zheng, Boxi Cao, et al.2026
  70. SCVQ: Sparse-Compensated Vector Quantization for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Zhou, Yujun Diao, Zicheng Kong, et al.2026
  71. SDC-LoRA: Singular-Subspace Drift Controlled LoRA to Mitigate Knowledge ForgettingFindings of the Association for Computational LinguisticsGeyuan Zhang, Xiaofei Zhou, Shihao Liu, et al.2026
  72. SeDev: Structured Semantic Exploration for LLM-Driven Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ronghui Yang, Jie Liu, Jiajie Zeng, et al.2026
  73. SPIDE: Serial and Parallel Intertwined Speculative DecodingFindings of the Association for Computational LinguisticsWenru Xu, Peixuan Xu, Ziqi Yang, et al.2026
  74. SynthFix: Adaptive Neuro-Symbolic Code Vulnerability RepairFindings of the Association for Computational LinguisticsYifan Zhang, Jieyu Li, Kexin Pei, et al.2026
  75. Table-R1: Region-based Reinforcement Learning for Table UnderstandingFindings of the Association for Computational LinguisticsZhenhe Wu, Jian Yang, Zhongjiang He, et al.2026
  76. Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Pukun Zhao, Qizhou Chen, et al.2026
  77. TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Siyu Zhao2026
  78. TeamOmega at SemEval-2026 Task 13: Frozen vs. Trainable Representations for Out-of-Distribution AI-Generated Code Detection: A CodeBERT Fine-Tuning StudyInternational Workshop on Semantic Evaluation (SemEval)Nahid Niyaz Shovon, Md. Naim Parvez2026
  79. The Curse of Verbalization: How Presentation Order Constrains LLM ReasoningFindings of the Association for Computational LinguisticsYue Zhou, Henry Peng Zou, Barbara Di Eugenio, et al.2026
  80. Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature ModulationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Yu, Shijian Xiao, Cam-Tu Nguyen, et al.2026
  81. Think Like You Execute: Verifiable Chain of Thought from Program TracesAnnual Meeting of the Association for Computational Linguistics (ACL)Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, et al.2026
  82. ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, et al.2026
  83. Thinking Twice Makes Large Language Models Safer and More HelpfulFindings of the Association for Computational LinguisticsYutao Mou, Yuxiao Luo, Shikun Zhang, et al.2026
  84. Towards Identification and Intervention of Safety-Critical Parameters in Large Language ModelsFindings of the Association for Computational LinguisticsWeiwei Qi, Zefeng Wu, Tianhang Zheng, et al.2026
  85. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026
  86. UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and MiningFindings of the Association for Computational LinguisticsChanghao Wang, Yunfeiyu, Xinhao Yao, et al.2026
  87. Vector Calligrapher: Generating Scalable Vector Graphics via Structured Linguistic SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Zhou, Xikang Chen, Yan Gong, et al.2026
  88. 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
  89. 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
  90. YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution ShiftsInternational Workshop on Semantic Evaluation (SemEval)Lixian Xing, Jin Wang, Xuejie Zhang2026
  91. Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhe Wang, Jin Huang, Xingjian Zhang, et al.2026
  92. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025
  93. Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)Journal of SoftwareQuanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.2025
  94. Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)Journal of SoftwareYihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.2025

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