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Sen Su

LIFEBENCH: Evaluating Length Instruction Following in Large Language Models
2025 · Wei Zhang, Zhenhong Zhou, et al. · neural information processing systems · 1
From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs
2026 · Zhang, Yuanhe, Wang, Weiliu, et al. · arXiv (Cornell University)
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Is Deep Research Reliable? Misleading Knowledge Induces False Conclusions
2026 · Zhu, Pengyu, Li, Lijun, et al. · arXiv (Cornell University)
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SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models
2026 · Zhang, Yuanhe, Tian, Jiayu, et al. · arXiv (Cornell University)
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PrivSV: Differentially Private Steering Vector for Large Language Models
2026 · Association for Artificial Intelligence 2026, Cheng, Xiang, et al. · Underline Science Inc.
SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models
2026 · Yuanhe Zhang, Jiayu Tian, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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DecIF: Improving Instruction-Following through Decomposition
2026 · Tingfeng Hui, Pengyu Zhu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control
2026 · Rui Ha, Rui Pu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Residual Stream Analysis of Overfitting And Structural Disruptions
2025 · Quan Liu, Han Zhou, et al. · neural information processing systems
Works count: 9
Citation count: 1
H-index: 1
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