🧑‍🔬 Who cites Zhe Su

93 citations of their works from 93 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← Zhe Su

1. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
2. Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 227 citations
3. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionarXiv:2506.13585MiniMax, Aili Chen, Aonian Li, et al.2025 · 66 citations
4. Large Language Model Agent: A Survey on Methodology, Applications and ChallengesarXiv:2503.21460Junyu Luo, Weizhi Zhang, Ye Yuan, et al.2025 · 62 citations
5. A Survey on Evaluation of LLM-based AgentsFindings of the Association for Computational LinguisticsAsaf Yehudai, Lilach Eden, Alan Li, et al.2026 · 21 citations
6. OmniBench: Towards The Future of Universal Omni-Language ModelsConference on Neural Information Processing Systems (NeurIPS)Yizhi Li, Yinghao Ma, Ge Zhang, et al.2024 · 17 citations
7. The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task ExecutionarXiv:2510.25726Junlong Li, Wenshuo Zhao, Jian Zhao, et al.2025 · 13 citations
8. SoundMind: RL-Incentivized Logic Reasoning for Audio-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xingjian Diao, Chunhui Zhang, Keyi Kong, et al.2025 · 11 citations
9. Coding Agents with Multimodal Browsing are Generalist Problem SolversFindings of the Association for Computational LinguisticsAditya Bharat Soni, Boxuan Li, Xingyao Wang, et al.2026 · 5 citations
10. Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic EvaluationsAnnual Meeting of the Association for Computational Linguistics (ACL)Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde, et al.2026 · 5 citations
11. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
12. Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-MakingarXiv:2602.06570Chengfeng Dou, Fan Yang, Fei Li, et al.2026 · 2 citations
13. Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Qisheng Su, Shiting Huang, Zhen Fang, et al.2026 · 2 citations
14. MiniMax Sparse AttentionarXiv:2606.13392Xunhao Lai, Weiqi Xu, Yufeng Yang, et al.2026 · 2 citations
15. InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge ProfilingAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Shi, Tianshi Zheng, Weiqi Wang, et al.2026 · 1 citation
16. Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Shiyu Li, Peiming Li, et al.2026 · 1 citation
17. Action Boundary Blindness: When LLM Agents Cannot Tell Where One Action Ends and Another BeginsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangyi Wang, Bingnan Yu, Jiexiang Xu, et al.2026
18. AEQ-Bench: Measuring Empathy of Omni-Modal Large ModelsFindings of the Association for Computational LinguisticsXuan Luo, Lewei Yao, Lanqing Hong, et al.2026
19. Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at ScaleFindings of the Association for Computational LinguisticsJianhong Tu, Nicholas Crispino, Kyle Montgomery, et al.2026
20. Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety AlignmentFindings of the Association for Computational LinguisticsZhixue Song, Boyan Han, Yiwei Wang, et al.2026
21. Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, et al.2026
22. Training Verifier to Assessing Complex Real-World Tool-Use TrajectoriesFindings of the Association for Computational LinguisticsLinzhuang Sun, Mingyang Chen, Hao Liang, et al.2026

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