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Author

Zhiqi Bai

Observed names: Bai, Zhiqi, 白, 芷绮
ORCID: 0000-0003-2857-2556
Observed ORCID: 0000-0003-2857-2556
OpenAlex ID: A5065092030
AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes
2019 · Huiyan Jiang, Tianyu Shi, et al. · IEEE Access · 163
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DDK: Distilling Domain Knowledge for Efficient Large Language Models
2024 · Jiaheng Liu, Chenchen Zhang, et al. · neural information processing systems · 11
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D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
2024 · Haoran Que, Jiaheng Liu, et al. · neural information processing systems · 4
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ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
2024 · Wu, Yanan, Liu, Jie, et al. · arXiv (Cornell University) · 1
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Socratic Skill Learning: Interleaving Teaching and Practice for Transferable Agent Skills
2026 · Zhu, Letian, Li, Han, et al. · arXiv (Cornell University)
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HappyWorld-Bench
2026 · Bai, Zhiqi, Cai, Junai, et al. · arXiv (Cornell University)
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TVIR: Building Deep Research Agents Towards Text-Visual Interleaved Report Generation
2026 · Ma, Xinkai, Bai, Zhiqi, et al. · arXiv (Cornell University)
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MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
2026 · Che, Xinyu, Xiong, Junqi, et al. · arXiv (Cornell University)
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DR$^{3}$-Eval: Towards Realistic and Reproducible Deep Research Evaluation
2026 · Xie, Qianqian, Xiong, Qingheng, et al. · arXiv (Cornell University)
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Logics-STEM: Empowering LLM Reasoning via Failure-Driven Post-Training and Document Knowledge Enhancement
2026 · Xu, Mingyu, Fang, Cheng, et al. · arXiv (Cornell University)
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Reconstructing KV Caches with Cross-layer Fusion For Enhanced Transformers
2025 · Lin, Hongzhan, Bai, Zhiqi, et al. · arXiv (Cornell University)
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E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
2024 · Liu, Jiaheng, Bai, Zhiqi, et al. · arXiv (Cornell University)
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融入空间数据的地图制图新途径探讨
2022 · 白, 芷绮 · 地矿测绘
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Mapgis 在地图制图中的应用
2022 · 白, 芷绮 · 工程管理
Works count: 15
Citation count: 182
H-index: 3
I10-index: 2
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