Power Chess: Robot-to-Robot Nonverbal Emotional Expression Applied to Competitive Play. - Ray LC; Maurice Benayoun; PerMagnus Lindborg; Hongshen Xu; Hin Chung Chan; Ka Man Yip; Tianyi Zhang (ARTECH, 2021)

Cohesiveness of Robots in Groups Affects the Perception of Social Rejection by Human Observers. - Hongshen Xu; Ray LC (HRI, 2022)

TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages. - Zihan Zhao; Lu Chen 002; Ruisheng Cao; Hongshen Xu; Xingyu Chen; Kai Yu 004 (NAACL-HLT, 2022)

Exploring Schema Generalizability of Text-to-SQL. - Jieyu Li; Lu Chen 002; Ruisheng Cao; Su Zhu; Hongshen Xu; Zhi Chen 006; Hanchong Zhang; Kai Yu 004 (ACL (Findings), 2023)

ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought. - Hanchong Zhang; Ruisheng Cao; Lu Chen 002; Hongshen Xu; Kai Yu 004 (EMNLP (Findings), 2023)

Large Language Models Are Semi-Parametric Reinforcement Learning Agents. - Danyang Zhang; Lu Chen 002; Situo Zhang; Hongshen Xu; Zihan Zhao; Kai Yu 004 (NeurIPS, 2023)

Large Language Model Is Semi-Parametric Reinforcement Learning Agent. - Danyang Zhang; Lu Chen 002; Situo Zhang; Hongshen Xu; Zihan Zhao; Kai Yu 004 (CoRR, 2023)

ASTormer: An AST Structure-aware Transformer Decoder for Text-to-SQL. - Ruisheng Cao; Hanchong Zhang; Hongshen Xu; Jieyu Li; Da Ma; Lu Chen 002; Kai Yu 004 (CoRR, 2023)

A Heterogeneous Graph to Abstract Syntax Tree Framework for Text-to-SQL. - Ruisheng Cao; Lu Chen 002; Jieyu Li; Hanchong Zhang; Hongshen Xu; Wangyou Zhang; Kai Yu 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sparsity-Accelerated Training for Large Language Models. - Da Ma; Lu Chen 002; Pengyu Wang; Hongshen Xu; Hanqi Li; Liangtai Sun; Su Zhu; Shuai Fan 005; Kai Yu 004 (ACL (Findings), 2024)

Multilingual Brain Surgeon: Large Language Models Can Be Compressed Leaving No Language behind. - Hongchuan Zeng; Hongshen Xu; Lu Chen 002; Kai Yu 004 (LREC/COLING, 2024)

A Birgat Model for Multi-Intent Spoken Language Understanding with Hierarchical Semantic Frames. - Hongshen Xu; Ruisheng Cao; Su Zhu; Sheng Jiang; Hanchong Zhang; Lu Chen 002; Kai Yu 004 (ICASSP, 2024)

CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions. - Hanchong Zhang; Ruisheng Cao; Hongshen Xu; Lu Chen 002; Kai Yu 004 (NAACL-HLT, 2024)

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? - Ruisheng Cao; Fangyu Lei; Haoyuan Wu; Jixuan Chen; Yeqiao Fu; Hongcheng Gao; Xinzhuang Xiong; Hanchong Zhang; Wenjing Hu; Yuchen Mao; Tianbao Xie; Hongshen Xu; et al. (NeurIPS, 2024)

Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding. - Hongshen Xu; Lu Chen 002; Zihan Zhao; Da Ma; Ruisheng Cao; Zichen Zhu; Kai Yu 004 (WSDM, 2024)

ChemDFM: Dialogue Foundation Model for Chemistry. - Zihan Zhao; Da Ma; Lu Chen 002; Liangtai Sun; Zihao Li; Hongshen Xu; Zichen Zhu; Su Zhu; Shuai Fan 005; Guodong Shen; Xin Chen; Kai Yu 004 (CoRR, 2024)

Rejection Improves Reliability: Training LLMs to Refuse Unknown Questions Using RL from Knowledge Feedback. - Hongshen Xu; Zichen Zhu; Da Ma; Situo Zhang; Shuai Fan 005; Lu Chen 002; Kai Yu 004 (CoRR, 2024)

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity. - Da Ma; Lu Chen 002; Situo Zhang; Yuxun Miao; Su Zhu; Zhi Chen 006; Hongshen Xu; Hanqi Li; Shuai Fan 005; Lei Pan; Kai Yu 004 (CoRR, 2024)

Reducing Tool Hallucination via Reliability Alignment. - Hongshen Xu; Su Zhu; Zihan Wang; Hang Zheng; Da Ma; Ruisheng Cao; Shuai Fan 005; Lu Chen 002; Kai Yu 004 (CoRR, 2024)

Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling. - Hang Zheng; Hongshen Xu; Yuncong Liu; Lu Chen 002; Pascale Fung; Kai Yu 004 (CoRR, 2025)

Alignment for Efficient Tool Calling of Large Language Models. - Hongshen Xu; Zihan Wang; Zichen Zhu; Lei Pan; Xingyu Chen; Lu Chen 002; Kai Yu 004 (CoRR, 2025)

Delusions of Large Language Models. - Hongshen Xu; Zixv yang; Zichen Zhu; Kunyao Lan; Zihan Wang; Mengyue Wu; Ziwei Ji 001; Lu Chen 002; Pascale Fung; Kai Yu 004 (CoRR, 2025)

MiMo: Unlocking the Reasoning Potential of Language Model - From Pretraining to Posttraining. - Bingquan Xia; Bowen Shen; Cici; Dawei Zhu; Di Zhang; Gang Wang; Hailin Zhang 001; Huaqiu Liu; Jiebao Xiao; Jinhao Dong; Liang Zhao; Peidian Li; et al. (CoRR, 2025)

MiMo-VL Technical Report. - Zihao Yue; Zhenru Lin; Yifan Song; Weikun Wang; Shuhuai Ren; Shuhao Gu; Shicheng Li; Peidian Li; Liang Zhao; Lei Li; Kainan Bao; Hao Tian 006; et al. (CoRR, 2025)