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Minzheng Wang

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
2025 · Run Luo, Haonan Zhang, et al. · 25
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
2024 · Minzheng Wang, Longze Chen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 15
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Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
2025 · Lei Zhang, Yunshui Li, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 8
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YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction
2023 · Xiao, Xinglin, Wang, Yijie, et al. · arXiv (Cornell University) · 6
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YAYI 2: Multilingual Open-Source Large Language Models
2023 · Luo, Yin, Kong, Qingchao, et al. · arXiv (Cornell University) · 3
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ImaRA: An Imaginative Frame Augmented Method for Low-Resource Multimodal Metaphor Detection and Explanation
2025 · Yuan Tian, Minzheng Wang, et al. · Findings of the Association for Computational Linguistics: NAACL · 2
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Boosting Domain-Specific Question Answering Through Weakly Supervised Self-Training
2023 · Minzheng Wang, Jia Cao, et al. · IEEE International Conference on Intelligence and Security Informatics (ISI) · 2
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
2025 · Minzheng Wang, Xinghua Zhang, et al. · 1
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EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
2025 · Tao Zou, Xinghua Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
2024 · Luo, Run, Zhang, Haonan, et al. · arXiv (Cornell University) · 1
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Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
2024 · Wang, Minzheng, Chen, Longze, et al. · arXiv (Cornell University) · 1
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MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement
2026 · Core Team, Qiao, Zongming, et al. · arXiv (Cornell University)
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SWE-Touch: Benchmarking Coding Agents When Users Touch the Code
2026 · Tan, Yuqiao, Meng, Jinxiang, et al. · arXiv (Cornell University)
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Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents
2026 · Association for Computational Linguistics 2026, Liu, Zichen, et al. · Underline Science Inc.
Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents
2026 · Wang, Minzheng, Luo, Run, et al. · arXiv (Cornell University)
Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents
2026 · Wang, Minzheng, Luo, Run, et al. · arXiv (Cornell University)
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From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space
2026 · Tan, Yuqiao, Wang, Minzheng, et al. · arXiv (Cornell University)
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Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
2026 · Wang, Yanbo, Wang, Minzheng, et al. · arXiv (Cornell University)
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Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents
2026 · Minzheng Wang, Run Luo, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
2025 · Tan, Yuqiao, Wang, Minzheng, et al. · arXiv (Cornell University)
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Adaptive Social Learning via Mode Policy Optimization for Language Agents
2025 · Wang, Minzheng, Li, Yongbin, et al. · arXiv (Cornell University)
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The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends
2024 · Zhang, Xinghua, Yu, Haiyang, et al. · arXiv (Cornell University)
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PromISe: Releasing the Capabilities of LLMs with Prompt Introspective Search
2024 · Minzheng Wang, Nan Xu, et al. · Language Resources and Evaluation Conference (LREC)
Works count: 26
Citation count: 65
H-index: 4
I10-index: 2
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