Bingning Wang

According to our database, Bingning Wang authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Checkpoint Merging via Bayesian Optimization in LLM Pretraining.

Deyuan Liu, Zecheng Wang, Bingning Wang, Weipeng Chen, Chunshan Li, Zhiying Tu, Dianhui Chu, Bo Li, Dianbo Sui

CoRR, 2024

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

Xin Men, Mingyu Xu, Qingyu Zhang, Bingning Wang, Hongyu Lin, Yaojie Lu, Xianpei Han, Weipeng Chen

CoRR, 2024

2023

Baichuan 2: Open Large-scale Language Models.

Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, Fei Deng, Feng Wang, Feng Liu, Guangwei Ai, Guosheng Dong, Haizhou Zhao, Hang Xu, Haoze Sun, Hongda Zhang, Hui Liu, Jiaming Ji, Jian Xie, Juntao Dai, Kun Fang, Lei Su, Liang Song, Lifeng Liu, Liyun Ru, Luyao Ma, Mang Wang, Mickel Liu, MingAn Lin, Nuolan Nie, Peidong Guo, Ruiyang Sun, Tao Zhang, Tianpeng Li, Tianyu Li, Wei Cheng, Weipeng Chen, Xiangrong Zeng, Xiaochuan Wang, Xiaoxi Chen, Xin Men, Xin Yu, Xuehai Pan, Yanjun Shen, Yiding Wang, Yiyu Li, Youxin Jiang, Yuchen Gao, Yupeng Zhang, Zenan Zhou, Zhiying Wu

CoRR, 2023

T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking.

Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding.

Bingning Wang, Feiyang Lv, Ting Yao, Yiming Yuan, Jin Ma, Yu Luo, Haijin Liang

CoRR, 2022

Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models.

Han Liu, Bingning Wang, Ting Yao, Haijin Liang, Jianjin Xu, Xiaolin Hu

CoRR, 2022

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding.

Bingning Wang, Feiyang Lv, Ting Yao, Jin Ma, Yu Luo, Haijin Liang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks.

Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding?

Han Yang, Leilei Zhang, Bingning Wang, Ting Yao, Junfei Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multi-Lingual Question Generation with Language Agnostic Language Model.

Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

SenSeNet: Neural Keyphrase Generation with Document Structure.

Yichao Luo, Zhengyan Li, Bingning Wang, Xiaoyu Xing, Qi Zhang, Xuanjing Huang

CoRR, 2020

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis.

Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion.

Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Neural Question Generation with Answer Pivot.

Bingning Wang, Xiaochuan Wang, Ting Tao, Qi Zhang, Jingfang Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Sogou Machine Reading Comprehension Toolkit.

Jindou Wu, Yunlun Yang, Chao Deng, Hongyi Tang, Bingning Wang, Haoze Sun, Ting Yao, Qi Zhang

CoRR, 2019

Document Gated Reader for Open-Domain Question Answering.

Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Zhixing Tian, Kang Liu, Jun Zhao

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Unsupervised Story Comprehension with Hierarchical Encoder-Decoder.

Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Kang Liu, Zhixing Tian, Jun Zhao

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

2018

Deep Semantic Hashing with Multi-Adversarial Training.

Bingning Wang, Kang Liu, Jun Zhao

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Conditional Generative Adversarial Networks for Commonsense Machine Comprehension.

Bingning Wang, Kang Liu, Jun Zhao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Employing External Rich Knowledge for Machine Comprehension.

Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inner Attention based Recurrent Neural Networks for Answer Selection.

Bingning Wang, Kang Liu, Jun Zhao

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016