Benfeng Xu

According to our database, Benfeng Xu authored at least 27 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents.

Mingxuan Du, Benfeng Xu, Chiwei Zhu, Xiaorui Wang, Zhendong Mao

CoRR, June, 2025

MIRROR: Multi-agent Intra- and Inter-Reflection for Optimized Reasoning in Tool Learning.

Zikang Guo, Benfeng Xu, Xiaorui Wang, Zhendong Mao

CoRR, May, 2025

Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking.

Yihan Chen, Benfeng Xu, Xiaorui Wang, Yongdong Zhang, Zhendong Mao

CoRR, May, 2025

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach.

Ruizhe Li, Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao

CoRR, April, 2025

CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays.

Kaijie Jiao, Xingyu Yao, Shixuan Ma, Sifan Fang, Zikang Guo, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability.

Chiwei Zhu, Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding.

Chiwei Zhu, Benfeng Xu, Xiaorui Wang, Zhendong Mao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension.

Licheng Zhang, Quan Wang, Benfeng Xu, Yi Liu, Zhendong Mao

IEEE Signal Process. Lett., 2024

USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings.

Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction.

Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Disentangled Learning with Synthetic Parallel Data for Text Style Transfer.

Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions.

Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning.

Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou

CoRR, 2023

Qwen Technical Report.

Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao

CoRR, 2023

kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.

Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang

CoRR, 2023

Retrieval-Augmented Domain Adaptation of Language Models.

Benfeng Xu, Chunxu Zhao, Wenbin Jiang, Pengfei Zhu, Songtai Dai, Chao Pang, Zhuo Sun, Shuohuan Wang, Yu Sun

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference.

Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Modaldrop: Modality-Aware Regularization for Temporal-Spectral Fusion in Human Activity Recognition.

Xin Zeng, Yiqiang Chen, Benfeng Xu, Tengxiang Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

On the Calibration of Large Language Models and Alignment.

Chiwei Zhu, Benfeng Xu, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, Zhendong Mao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Yabing Shi, Yong Zhu, Jie Gao, Zhendong Mao

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction.

Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Review and Arrange: Curriculum Learning for Natural Language Understanding.

Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Building Chinese Biomedical Language Models via Multi-Level Text Discrimination.

Quan Wang, Songtai Dai, Benfeng Xu, Yajuan Lyu, Yong Zhu, Hua Wu, Haifeng Wang

CoRR, 2021

Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction.

Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Curriculum Learning for Natural Language Understanding.

Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020