Xiaoshuai Song

35 papers A* 5Misc 1Journal 21Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis. CoRR Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen
2026	J	`jnl`	GISA: A Benchmark for General Information-Seeking Assistant. CoRR Yutao Zhu, Xingshuo Zhang, Maosen Zhang, Jiajie Jin, Liancheng Zhang, Xiaoshuai Song, Kangzhi Zhao, Wencong Zeng, Ruiming Tang, Han Li, Ji-Rong Wen, Zhicheng Dou
2026	J	`jnl`	ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants. CoRR Pei Wang, Yanan Wu, Xiaoshuai Song, Weixun Wang, Gengru Chen, Zhongwen Li, Kezhong Yan, Ken Deng, Qi Liu, Shuaibing Zhao, Shaopan Xiong, Xuepeng Liu, Xuefeng Chen, Wanxi Deng, Wenbo Su, Bo Zheng
2025	A*	`conf`	Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. WWW Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2025	A*	`conf`	CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. ICLR Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu
2025	J	`jnl`	Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants. CoRR Lixiong Qin, Shilong Ou, Miaoxuan Zhang, Jiangning Wei, Yuhang Zhang, Xiaoshuai Song, Yuchen Liu, Mei Wang, Weiran Xu
2025	A*	`conf`	MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. ICLR Pei Wang, Yanan Wu, Noah Wang, Jiaheng Liu, Xiaoshuai Song, Z. Y. Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng
2025	—	`conf`	ProgCo: Program Helps Self-Correction of Large Language Models. ACL (2) Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng
2025	J	`jnl`	ProgCo: Program Helps Self-Correction of Large Language Models. CoRR Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng
2025	A*	`conf`	Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation. AAAI Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen
2025	J	`jnl`	Towards robust and generalizable training: An empirical study of noisy slot filling for input perturbations. Neurocomputing Guanting Dong, Xiaoshuai Song, Jiachi Liu, Liwen Wang, Zhengyang Wang, Zechen Wang, Shanglin Lei, Keqing He, Bo Xiao, Weiran Xu
2025	—	`conf`	We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? ACL (1) Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Jiapeng Wang, Zhuoma Gongque, Shanglin Lei, Yifan Zhang, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Xiao Zong, Yida Xu, Peiqing Yang, Zhimin Bao, Muxi Diao, Chen Li, Honggang Zhang
2024	—	`conf`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	J	`jnl`	Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024	J	`jnl`	CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. CoRR Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu
2024	—	`conf`	Faceptor: A Generalist Model for Face Perception. ECCV (34) Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng
2024	J	`jnl`	Faceptor: A Generalist Model for Face Perception. CoRR Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng
2024	J	`jnl`	Knowledge Editing on Black-box Large Language Models. CoRR Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
2024	J	`jnl`	MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models. CoRR Pei Wang, Yanan Wu, Zekun Wang, Jiaheng Liu, Xiaoshuai Song, Zhongyuan Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng
2024	J	`jnl`	Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models. CoRR Yifan Zhang, Shanglin Lei, Runqi Qiao, Zhuoma Gongque, Xiaoshuai Song, Guanting Dong, Qiuna Tan, Zhe Wei, Peiqing Yang, Ye Tian, Yadong Xue, Xiaofei Wang, Honggang Zhang
2024	Misc	`conf`	Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. ICASSP Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu
2024	J	`jnl`	Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task. CoRR Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu
2024	J	`jnl`	Toward General Instruction-Following Alignment for Retrieval-Augmented Generation. CoRR Guanting Dong, Xiaoshuai Song, Yutao Zhu, Runqi Qiao, Zhicheng Dou, Ji-Rong Wen
2024	J	`jnl`	We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? CoRR Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Zhuoma Gongque, Shanglin Lei, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Yifan Zhang, Xiao Zong, Yida Xu, Muxi Diao, Zhimin Bao, Chen Li, Honggang Zhang
2023	—	`conf`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	—	`conf`	Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. EMNLP (Findings) Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu
2023	J	`jnl`	Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. CoRR Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu
2023	—	`conf`	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023	J	`jnl`	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023	A*	`conf`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023	J	`jnl`	Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu
2016	—	`conf`	Obstacle tracking based on millimeter wave radar. ICSAI Xiaoshuai Song, Yu Du
2011	J	`jnl`	The relationship between ic-cone-convexness and nearly cone-subconvexlikeness. Appl. Math. Lett. Yihong Xu, Xiaoshuai Song