Finding the Dominant Winning Ticket in Pre-Trained Language Models. - Zhuocheng Gong; Di He 001; Yelong Shen; Tie-Yan Liu; Weizhu Chen; Dongyan Zhao 001; Ji-Rong Wen; Rui Yan 001 (ACL (Findings), 2022)

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. - Zhuocheng Gong; Jiahao Liu; Qifan Wang 001; Yang Yang 129; Jingang Wang; Wei Wu 014; Yunsen Xian; Dongyan Zhao 001; Rui Yan 001 (ACL (Findings), 2023)

Improving Input-label Mapping with Demonstration Replay for In-context Learning. - Zhuocheng Gong; Jiahao Liu; Qifan Wang 001; Jingang Wang; Xunliang Cai; Dongyan Zhao 001; Rui Yan 001 (EMNLP (Findings), 2023)

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation. - Zhuocheng Gong; Jiahao Liu; Jingang Wang; Xunliang Cai; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2024)

Your Career Path Matters in Person-Job Fit. - Zhuocheng Gong; Yang Song 021; Tao Zhang 070; Ji-Rong Wen; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2024)

Graph-Structured Speculative Decoding. - Zhuocheng Gong; Jiahao Liu; Ziyue Wang; Pengfei Wu 006; Jingang Wang; Xunliang Cai; Dongyan Zhao 001; Rui Yan 001 (ACL (Findings), 2024)

Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. - Zhuocheng Gong; Ang Lv; Jian Guan 002; Wei Wu 014; Huishuai Zhang; Minlie Huang; Dongyan Zhao 001; Rui Yan 001 (EMNLP, 2024)

FIRP: Faster LLM Inference via Future Intermediate Representation Prediction. - Pengfei Wu 006; Jiahao Liu; Zhuocheng Gong; Qifan Wang 001; Jinpeng Li 003; Jingang Wang; Xunliang Cai; Dongyan Zhao 001 (NLPCC (3), 2024)

What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation. - Zhuocheng Gong; Jiahao Liu; Jingang Wang; Xunliang Cai; Dongyan Zhao 001; Rui Yan 001 (CoRR, 2024)

Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration. - Pengfei Wu 006; Jiahao Liu; Zhuocheng Gong; Qifan Wang 001; Jinpeng Li 003; Jingang Wang; Xunliang Cai; Dongyan Zhao 001 (CoRR, 2024)

Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. - Zhuocheng Gong; Ang Lv; Jian Guan 002; Junxi Yan; Wei Wu 014; Huishuai Zhang; Minlie Huang; Dongyan Zhao 001; Rui Yan 001 (CoRR, 2024)

Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes. - Zhuocheng Gong; Jian Guan 002; Wei Wu 014; Huishuai Zhang; Dongyan Zhao 001 (CoRR, 2025)

Efficient RL Training for Reasoning Models via Length-Aware Optimization. - Danlong Yuan; Tian Xie; Shaohan Huang; Zhuocheng Gong; Huishuai Zhang; Chong Luo; Furu Wei; Dongyan Zhao 001 (CoRR, 2025)