Bingning Wang

According to our database, Bingning Wang authored at least 34 papers between 2016 and 2024.

Collaborative distances:

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

2024

KV Shifting Attention Enhances Language Modeling.

Mingyu Xu, Wei Cheng, Bingning Wang, Weipeng Chen

CoRR, 2024

LLaSA: Large Language and Structured Data Assistant.

Yao Xu, Shizhu He, Xiangrong Zeng, Jiabei Chen, Guang Liu, Bingning Wang, Jun Zhao, Kang Liu

CoRR, 2024

Beyond Filtering: Adaptive Image-Text Quality Enhancement for MLLM Pretraining.

Han Huang, Yuqi Huo, Zijia Zhao, Haoyu Lu, Shu Wu, Bingning Wang, Qiang Liu, Weipeng Chen, Liang Wang

CoRR, 2024

Exploring the Design Space of Visual Context Representation in Video MLLMs.

Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen

CoRR, 2024

Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models.

Zhipeng Chen, Liang Song, Kun Zhou, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen

CoRR, 2024

BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline.

Guosheng Dong, Da Pan, Yiding Sun, Shusen Zhang, Zheng Liang, Xin Wu, Yanjun Shen, Fan Yang, Haoze Sun, Tianpeng Li, Mingan Lin, Jianhua Xu, Yufan Zhang, Xiaonan Nie, Lei Su, Bingning Wang, Wentao Zhang, Jiaxin Mao, Zenan Zhou, Weipeng Chen

CoRR, 2024

Towards Event-oriented Long Video Understanding.

Yifan Du, Kun Zhou, Yuqi Huo, Yifan Li, Wayne Xin Zhao, Haoyu Lu, Zijia Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen

CoRR, 2024

Full-ECE: A Metric For Token-level Calibration on Large Language Models.

Han Liu, Yupeng Zhang, Bingning Wang, Weipeng Chen, Xiaolin Hu

CoRR, 2024

Needle In A Video Haystack: A Scalable Synthetic Framework for Benchmarking Video MLLMs.

Zijia Zhao, Haoyu Lu, Yuqi Huo, Yifan Du, Tongtian Yue, Longteng Guo, Bingning Wang, Weipeng Chen, Jing Liu

CoRR, 2024

Accurate and Reliable Predictions with Mutual-Transport Ensemble.

Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu

CoRR, 2024

Base of RoPE Bounds Context Length.

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

CoRR, 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

MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic.

Yuyan Zhou, Liang Song, Bingning Wang, Weipeng Chen

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

Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models.

Jie Chen, Yupeng Zhang, Bingning Wang, Xin Zhao, Ji-Rong Wen, Weipeng Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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