Who cites Lingming Zhang
- MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori InferenceFindings of the Association for Computational LinguisticsZheyuan Zhang, Lin Ge, Hongjiang Li, et al.2026 · 3 citations
- Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
- Skill Discovery for Software Scripting Automation via Offline Simulations with LLMsFindings of the Association for Computational LinguisticsPaiheng Xu, Gang Wu, Xiang Chen, et al.2026 · 3 citations
- Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMsarXiv:2506.19290Liang Zeng, Yongcong Li, Yuzhen Xiao, et al.2025 · 3 citations
- Can We Predict Before Executing Machine Learning Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.2026 · 2 citations
- MiniMax Sparse AttentionarXiv:2606.13392Xunhao Lai, Weiqi Xu, Yufeng Yang, et al.2026 · 2 citations
- MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning ModelsFindings of the Association for Computational LinguisticsXinming Wang, Jian Xu, Bin Yu, et al.2026 · 2 citations
- CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Jingyang Gong, Lei Li, et al.2026 · 1 citation
- 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
- ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lingxiao Tang, He Ye, Zhaoyang Chu, et al.2026 · 1 citation
- Hunyuan-A13B Technical ReportarXiv:2609.27284Tencent Hunyuan Team, Ao Liu, Botong Zhou, et al.2026 · 1 citation
- POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition InferenceFindings of the Association for Computational LinguisticsGehao Zhang, Juan Zhai2026 · 1 citation
- SeCuRepair: Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Chengran Yang, Ting Zhang, Jinfeng Jiang, et al.2026 · 1 citation
- SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?Findings of the Association for Computational LinguisticsYuxuan Sun, Yuze Zhao, Yufeng Wang, et al.2026 · 1 citation
- Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel FaultsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenhao Zhou, Zhuochen Huang, Yike He, et al.2026 · 1 citation
- Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-VisualizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Mizanur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, et al.2026
- ARCHITECT: Uncertainty-Aware Dynamic Tool Learning via Causal Intervention for Open-World AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangyi Wang, Jiexiang Xu, Bingnan Yu, et al.2026
- AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM CodingFindings of the Association for Computational LinguisticsSamuel Osebe, Fan Yang, Junyi Li, et al.2026
- Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward ModelsFindings of the Association for Computational LinguisticsQiyuan Zhang, Yufei Wang, Tianhe Wu, et al.2026
- 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
- CodeRM-NT: Reward Model for Code RL without Unit TestsFindings of the Association for Computational LinguisticsXiao Xia, Dan Zhang, Tianrui Sun2026
- CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Radin Shayanfar, Chu Fei Luo, Rohan V Bhambhoria, et al.2026
- Curing Miracle Steps in LLM Mathematical Reasoning with Rubric RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.2026
- DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning CollectionsFindings of the Association for Computational LinguisticsHaebin Shin, Lei Ji, Xiao Liu, et al.2026
- 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
- FuseSearch: Learning Adaptive Parallel Execution for Efficient Code LocalizationFindings of the Association for Computational LinguisticsKe Xu, Siyang Xiao, Ming Liang, et al.2026
- Generalizable LLM Learning of Graph Synthetic Data with Post-training AlignmentFindings of the Association for Computational LinguisticsYizhuo Zhang, Heng Wang, Shangbin Feng, et al.2026
- GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-CallingAnnual Meeting of the Association for Computational Linguistics (ACL)Hao-Xiang Xu, Chong Deng, Jiaqing Liu, et al.2026
- InferPilot: Autonomous Inference Attacks Against ML Services With LLM-Based AgentsFindings of the Association for Computational LinguisticsYixin Wu, Rui Wen, Chi Cui, et al.2026
- LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World SoftwareAnnual Meeting of the Association for Computational Linguistics (ACL)Syed Md Mukit Rashid, Abdullah Al Ishtiaq, Kai Tu, et al.2026
- LoopCoder: Scaling Code Intelligence via Looped Language ModelsFindings of the Association for Computational LinguisticsJian Yang, Wei Zhang, Shuyue Guo, et al.2026
- Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding ScalingFindings of the Association for Computational LinguisticsZhenghua Wang, Yiran Ding, Changze Lv, et al.2026
- PaT: Planning-after-Trial for Efficient Test-Time Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Youngsik Yoon, Sungjae Lee, Seockbean Song, et al.2026
- 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
- Self-Reflective Generation at Test TimeAnnual Meeting of the Association for Computational Linguistics (ACL)Jian Mu, Qixin Zhang, Zhiyong Wang, et al.2026
- Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Dayu Wang, Jiaye Yang, Weikang Li, et al.2026
- Tailored Primitive Initialization is the Secret Key to Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yihang Yao, Guangtao Zeng, Raina Wu, et al.2026
- 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
- ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-trainingFindings of the Association for Computational LinguisticsYifan Yang, Jinghui Lu, Evadeng, et al.2026
- When “Correct” Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Yibo Peng, James Song, Lei Li, et al.2026
- 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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