Xiaqiang Tang

According to our database, Xiaqiang Tang authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models.

Yi Wang, Xiaqiang Tang, Keyu Hu, Haojie Lu, Sihong Xie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Deep Research: A Systematic Survey.

Zhengliang Shi, Yiqun Chen, Haitao Li, Weiwei Sun, Shiyu Ni, Yougang Lyu, Run-Ze Fan, Bowen Jin, Yixuan Weng, Minjun Zhu, Qiujie Xie, Xinyu Guo, Qu Yang, Jiayi Wu, Jujia Zhao, Xiaqiang Tang, Xinbei Ma, Cunxiang Wang, Jiaxin Mao, Qingyao Ai, Jen-tse Huang, Wenxuan Wang, Yue Zhang, Yiming Yang, Zhaopeng Tu, Zhaochun Ren

CoRR, December, 2025

SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation.

Xiaqiang Tang, Yi Wang, Keyu Hu, Rui Xu, Chuang Li, Weigao Sun, Jian Li, Sihong Xie

CoRR, August, 2025

Comba: Improving Bilinear RNNs with Closed-loop Control.

Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun

CoRR, June, 2025

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models.

Xiaqiang Tang, Jian Li, Keyu Hu, Du Nan, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie

CoRR, May, 2025

MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity.

Xiaqiang Tang, Qiang Gao, Jian Li, Nan Du, Qi Li, Sihong Xie

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

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models.

Xiaqiang Tang, Jian Li, Keyu Hu, Nan Du, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie

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

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs.

Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters.

Weigao Sun, Yongtuo Liu, Xiaqiang Tang, Xiaoyu Mo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes.

Xiaqiang Tang, Weigao Sun, Siyuan Hu, Yiyang Sun, Yafeng Guo

IEEE Robotics Autom. Lett., January, 2024

2023

FGNet: A Graph-Based Motion Forecasting Method From a Future Perspective.

Xiaqiang Tang, Yafeng Guo, Yiyang Sun, Siyuan Hu, Jun Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interpretable End-to-End Driving Model for Implicit Scene Understanding.

Yiyang Sun, Xiaonian Wang, Yangyang Zhang, Jiagui Tang, Xiaqiang Tang, Jing Yao

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023