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Author

Shikun Zhang

Observed name: Zhang, Shikun
Observed institutions: Peking University, Meituan (China)
OpenAlex ID: A5127117143
SaRO: Enhancing LLM Safety through Reasoning-based Alignment
2025 · Mou, Yutao, Luo, Yuxiao, et al. · arXiv (Cornell University) · 1
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REER-PT: Reverse-Engineered Reasoning for Perplexity-Guided Pre-training Data Augmentation
2026 · Que, Haoran, Shi, Jiajun, et al. · arXiv (Cornell University)
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ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents
2026 · Mou, Yutao, Yang, Pengfei, et al. · arXiv (Cornell University)
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TrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models
2026 · Wang, Yidong, Zhan, Yan, et al. · arXiv (Cornell University)
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Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling
2026 · Ye, Zhen, Tan, Xu, et al. · arXiv (Cornell University)
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EVE: Verifiable Self-Evolution of MLLMs via Executable Visual Transformations
2026 · Heng, Yongrui, Jiang, Chaoya, et al. · arXiv (Cornell University)
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Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
2026 · Li, Bo, Wang, Mingda, et al. · arXiv (Cornell University)
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Instruction Data Selection via Answer Divergence
2026 · Li, Bo, Wang, Mingda, et al. · arXiv (Cornell University)
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GALA: Multimodal Graph Alignment for Bug Localization in Automated Program Repair
2026 · Liu, Zhuoyao, Zeng, Zhengran, et al. · arXiv (Cornell University)
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Data Selection for Multi-turn Dialogue Instruction Tuning
2026 · Li, Bo, Zhang, Shikun, et al. · arXiv (Cornell University)
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An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models
2026 · Xing, Chengli, Zeng, Zhengran, et al. · arXiv (Cornell University)
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SteerRM: Debiasing Reward Models via Sparse Autoencoders
2026 · Sun, Mengyuan, Yu, Zhuohao, et al. · arXiv (Cornell University)
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From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models
2026 · Jia, Hongrui, Jiang, Chaoya, et al. · arXiv (Cornell University)
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What Do Agents Learn from Trajectory-SFT: Semantics or Interfaces?
2026 · Gu, Weizheng, Li, Chengze, et al. · arXiv (Cornell University)
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OPE: Overcoming Information Saturation in Parallel Thinking via Outline-Guided Path Exploration
2026 · Qi Guo, Jianing Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Adaptive Test-Time Compute Allocation for Block Diffusion Language Models in Complex Reasoning
2026 · Yi Lu, Deyang Kong, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval
2026 · Yuxiao Luo, Da Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 17
Citation count: 1
H-index: 1
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