Li Lyna Zhang - Microsoft Research Aisa | 人才画像 - AMiner

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基本信息

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个人简介

My research interests lie broadly in AI algorithms. After I joined MSRA, my research focused on inventing novel algorithms for improving AI inference efficiency, which include: (1) compression for pre-trained transformer models and LLMs, and (2) hardware-aware NAS for edge AI.

研究兴趣

论文共 36 篇作者统计合作学者相似作者

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Beyond Prompt Content: Enhancing LLM Performance Via Content-Format Integrated Prompt Optimization

Yuanye Liu,Jiahang Xu,Li Lyna Zhang,Qi Chen, Xuan Feng,Yang Chen, Zhongxin Guo,Yuqing Yang,Peng Cheng

CoRR (2025)

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LongRoPE2: Near-Lossless LLM Context Window Scaling

Ning Shang,Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez,Fan Yang,Weizhu Chen,Mao Yang

ICML 2025 (2025)

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Phi-4-Mini Technical Report: Compact Yet Powerful Multimodal Language Models Via Mixture-of-LoRAs

Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, Adam Atkinson,Hany Awadalla,Nguyen Bach,Jianmin Bao,Alon Benhaim, Martin Cai,Vishrav Chaudhary, Congcong Chen, Dong Chen,Dongdong Chen,Junkun Chen,Weizhu Chen,Yen-Chun Chen,Yi-ling Chen,Qi Dai,Xiyang Dai,Ruchao Fan, Mei Gao, Min Gao, Amit Garg,Abhishek Goswami,Junheng Hao,Amr Hendy, Yuxuan Hu, Xin Jin,Mahmoud Khademi, Dongwoo Kim,Young Jin Kim, Gina Lee,Jinyu Li,Yunsheng Li,Chen Liang, Xihui Lin,Zeqi Lin,Mengchen Liu,Yang Liu, Gilsinia Lopez,Chong Luo,Piyush Madan,Vadim Mazalov, Arindam Mitra, Ali Mousavi,Anh Nguyen, Jing Pan, Daniel Perez-Becker, Jacob Platin, Thomas Portet, Kai Qiu, Bo Ren,Liliang Ren, Sambuddha Roy,Ning Shang,Yelong Shen,Saksham Singhal,Subhojit Som,Xia Song, Tetyana Sych, Praneetha Vaddamanu,Shuohang Wang,Yiming Wang, Zhenghao Wang,Haibin Wu,Haoran Xu, Weijian Xu, Yifan Yang,Ziyi Yang,Donghan Yu, Ishmam Zabir, Jianwen Zhang,Li Lyna Zhang,Yunan Zhang,Xiren Zhou

CoRR (2025)

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Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Zhenting Qi, Mingyuan MA,Jiahang Xu,Li Lyna Zhang,Fan Yang,Mao Yang

ICLR 2025 (2025)

引用52浏览0EI引用

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Rstar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Xinyu Guan,Li Lyna Zhang, Yifei Liu,Ning Shang, Youran Sun, Yi Zhu,Fan Yang,Mao Yang

ICML 2025 (2025)

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Rstar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset

Yifei Liu,Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou,Ning Shang,Fan Yang,Mao Yang

arxiv（2025）

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LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search

Chengquan Feng,Li Lyna Zhang, Yuanchi Liu,Jiahang Xu,Chengruidong Zhang, Zhiyuan Wang,Ting Cao,Mao Yang,Haisheng Tan

Symposium on Networked Systems Design and Implementation (2024)

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Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models

Song Guo,Jiahang Xu,Li Lyna Zhang,Mao Yang

ICLR 2024 (2024)

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VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

Yifei Liu,Jicheng Wen,Yang Wang, Shengyu Ye,Li Lyna Zhang,Ting Cao,Cheng Li,Mao Yang

EMNLP 2024 (2024): 8181-8196

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Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning

Xijie Huang,Li Lyna Zhang,Kwang-Ting Cheng,Fan Yang,Mao Yang

EMNLP 2024 (2024): 13674-13695

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