Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. - Zhu, Chiwei; Xu, Benfeng; Yang, An; Lin, Junyang; Wang, Quan; Zhou, Chang; Mao, Zhendong (2025)

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding. - Zhu, Chiwei; Xu, Benfeng; Wang, Xiaorui; Mao, Zhendong (2025)

CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays. - Jiao, Kaijie; Yao, Xingyu; Ma, Shixuan; Fang, Sifan; Guo, Zikang; Xu, Benfeng; Zhang, Licheng; Wang, Quan; Zhang, Yongdong; Mao, Zhendong (2025)

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach. - Li, Ruizhe; Zhu, Chiwei; Xu, Benfeng; Wang, Xiaorui; Mao, Zhendong (CoRR, 2025)

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking. - Chen, Yihan; Xu, Benfeng; Wang, Xiaorui; Zhang, Yongdong; Mao, Zhendong (CoRR, 2025)

MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning. - Guo, Zikang; Xu, Benfeng; Wang, Xiaorui; Mao, Zhendong (CoRR, 2025)

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability. - Zhu, Chiwei; Xu, Benfeng; Yang, An; Lin, Junyang; Wang, Quan; Zhou, Chang; Mao, Zhendong (CoRR, 2025)

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding. - Zhu, Chiwei; Xu, Benfeng; Wang, Xiaorui; Mao, Zhendong (CoRR, 2025)

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents. - Du, Mingxuan; Xu, Benfeng; Zhu, Chiwei; Wang, Xiaorui; Mao, Zhendong (CoRR, 2025)

Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension. - Zhang, Licheng; Wang, Quan; Xu, Benfeng; Liu, Yi; Mao, Zhendong (IEEE Signal Process. Lett., 2024)

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. - Chen, Yihan; Xu, Benfeng; Wang, Quan; Liu, Yi; Mao, Zhendong (2024)

Disentangled Learning with Synthetic Parallel Data for Text Style Transfer. - Han, Jingxuan; Wang, Quan; Guo, Zikang; Xu, Benfeng; Zhang, Licheng; Mao, Zhendong (2024)

KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction. - Kou, Jianshang; Xu, Benfeng; Zhu, Chiwei; Mao, Zhendong (2024)

USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings. - Guo, Zikang; Jiao, Kaijie; Yao, Xingyu; Wan, Yuning; Li, Haoran; Xu, Benfeng; Zhang, Licheng; Wang, Quan; Zhang, Yongdong; Mao, Zhendong (2024)

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. - Chen, Yihan; Xu, Benfeng; Wang, Quan; Liu, Yi; Mao, Zhendong (CoRR, 2024)

S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction. - Xu, Benfeng; Wang, Quan; Lyu, Yajuan; Dai, Dai; Zhang, Yongdong; Mao, Zhendong (2023)

On the Calibration of Large Language Models and Alignment. - Zhu, Chiwei; Xu, Benfeng; Wang, Quan; Zhang, Yongdong; Mao, Zhendong (2023)

Modaldrop: Modality-Aware Regularization for Temporal-Spectral Fusion in Human Activity Recognition. - Zeng, Xin; Chen, Yiqiang; Xu, Benfeng; Zhang, Tengxiang (2023)

$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. - Xu, Benfeng; Wang, Quan; Mao, Zhendong; Lyu, Yajuan; She, Qiaoqiao; Zhang, Yongdong (2023)

Retrieval-Augmented Domain Adaptation of Language Models. - Xu, Benfeng; Zhao, Chunxu; Jiang, Wenbin; Zhu, Pengfei; Dai, Songtai; Pang, Chao; Sun, Zhuo; Wang, Shuohuan; Sun, Yu (2023)

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference. - Xu, Benfeng; Wang, Quan; Mao, Zhendong; Lyu, Yajuan; She, Qiaoqiao; Zhang, Yongdong (CoRR, 2023)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. - Xu, Benfeng; Yang, An; Lin, Junyang; Wang, Quan; Zhou, Chang; Zhang, Yongdong; Mao, Zhendong (CoRR, 2023)

Qwen Technical Report. - Bai, Jinze; Bai, Shuai; Chu, Yunfei; Cui, Zeyu; Dang, Kai; Deng, Xiaodong; Fan, Yang; Ge, Wenbin; Han, Yu; Huang, Fei; Hui, Binyuan; Ji, Luo; et al. (CoRR, 2023)

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. - Wu, Shengguang; Lu, Keming; Xu, Benfeng; Lin, Junyang; Su, Qi; Zhou, Chang (CoRR, 2023)

On the Calibration of Large Language Models and Alignment. - Zhu, Chiwei; Xu, Benfeng; Wang, Quan; Zhang, Yongdong; Mao, Zhendong (CoRR, 2023)

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. - Tang, Wei; Xu, Benfeng; Zhao, Yuyue; Mao, Zhendong; Liu, Yifeng; Liao, Yong; Xie, Haiyong (2022)

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction. - Xu, Benfeng; Wang, Quan; Lyu, Yajuan; Shi, Yabing; Zhu, Yong; Gao, Jie; Mao, Zhendong (2022)

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction. - Tang, Wei; Xu, Benfeng; Zhao, Yuyue; Mao, Zhendong; Liu, Yifeng; Liao, Yong; Xie, Haiyong (CoRR, 2022)

Review and Arrange: Curriculum Learning for Natural Language Understanding. - Zhang, Licheng; Mao, Zhendong; Xu, Benfeng; Wang, Quan; Zhang, Yongdong (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. - Xu, Benfeng; Wang, Quan; Lyu, Yajuan; Zhu, Yong; Mao, Zhendong (2021)

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. - Xu, Benfeng; Wang, Quan; Lyu, Yajuan; Zhu, Yong; Mao, Zhendong (CoRR, 2021)

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination. - Wang, Quan; Dai, Songtai; Xu, Benfeng; Lyu, Yajuan; Zhu, Yong; Wu, Hua; Wang, Haifeng (CoRR, 2021)

Curriculum Learning for Natural Language Understanding. - Xu, Benfeng; Zhang, Licheng; Mao, Zhendong; Wang, Quan; Xie, Hongtao; Zhang, Yongdong (2020)