RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Stella Biderman; Huanqi Cao; Xin Cheng; Michael Chung; Leon Derczynski; Xingjian Du; Matteo Grella; et al. (EMNLP (Findings), 2023)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Huanqi Cao; Xin Cheng; Michael Chung; Matteo Grella; Kranthi Kiran G. V.; Xuzheng He; Haowen Hou; et al. (CoRR, 2023)

How Do Humans Write Code? Large Models Do It the Same Way Too. - Long Li; Xuzheng He; Haozhe Wang 009; Linlin Wang; Liang He (EMNLP, 2024)

Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning. - Qingyu Yin; Xuzheng He; Chak Tou Leong; Fan Wang; Yanzhao Yan; Xiaoyu Shen; Qiang Zhang 026 (EMNLP (Findings), 2024)

StableMask: Refining Causal Masking in Decoder-only Transformer. - Qingyu Yin; Xuzheng He; Xiang Zhuang; Yu Zhao 009; Jianhua Yao 001; Xiaoyu Shen; Qiang Zhang 026 (ICML, 2024)

Interpretable Contrastive Monte Carlo Tree Search Reasoning. - Zitian Gao; Boye Niu; Xuzheng He; Haotian Xu; Hongzhang Liu; Aiwei Liu; Xuming Hu; Lijie Wen 001 (CoRR, 2024)

Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning. - Qingyu Yin; Xuzheng He; Luoao Deng; Chak Tou Leong; Fan Wang; Yanzhao Yan; Xiaoyu Shen; Qiang Zhang (CoRR, 2024)