Inner Attention based Recurrent Neural Networks for Answer Selection. - Bingning Wang; Kang Liu 001; Jun Zhao 001 (ACL (1), 2016)

Employing External Rich Knowledge for Machine Comprehension. - Bingning Wang; Shangmin Guo; Kang Liu 001; Shizhu He; Jun Zhao 001 (IJCAI, 2016)

Conditional Generative Adversarial Networks for Commonsense Machine Comprehension. - Bingning Wang; Kang Liu 001; Jun Zhao 001 (IJCAI, 2017)

Deep Semantic Hashing with Multi-Adversarial Training. - Bingning Wang; Kang Liu 001; Jun Zhao 001 (CIKM, 2018)

Unsupervised Story Comprehension with Hierarchical Encoder-Decoder. - Bingning Wang; Ting Yao; Qi Zhang; Jingfang Xu; Kang Liu 001; Zhixing Tian; Jun Zhao 001 (ICTIR, 2019)

Document Gated Reader for Open-Domain Question Answering. - Bingning Wang; Ting Yao; Qi Zhang; Jingfang Xu; Zhixing Tian; Kang Liu 001; Jun Zhao 001 (SIGIR, 2019)

Sogou Machine Reading Comprehension Toolkit. - Jindou Wu; Yunlun Yang; Chao Deng; Hongyi Tang; Bingning Wang; Haoze Sun; Ting Yao; Qi Zhang (CoRR, 2019)

Neural Question Generation with Answer Pivot. - Bingning Wang; Xiaochuan Wang; Ting Tao; Qi Zhang; Jingfang Xu (AAAI, 2020)

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion. - Bingning Wang; Ting Yao; Qi Zhang; Jingfang Xu; Xiaochuan Wang (AAAI, 2020)

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. - Xiaoyu Xing; Zhijing Jin 001; Di Jin; Bingning Wang; Qi Zhang 001; Xuanjing Huang 001 (EMNLP (1), 2020)

SenSeNet: Neural Keyphrase Generation with Document Structure. - Yichao Luo; Zhengyan Li; Bingning Wang; Xiaoyu Xing; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2020)

Multi-Lingual Question Generation with Language Agnostic Language Model. - Bingning Wang; Ting Yao; Weipeng Chen; Jingfang Xu; Xiaochuan Wang (ACL/IJCNLP (Findings), 2021)

Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding? - Han Yang; Leilei Zhang; Bingning Wang; Ting Yao; Junfei Liu (CIKM, 2021)

ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks. - Bingning Wang; Ting Yao; Weipeng Chen; Jingfang Xu; Xiaochuan Wang (WWW, 2021)

ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. - Bingning Wang; Feiyang Lv; Ting Yao; Jin Ma 003; Yu Luo; Haijin Liang (CIKM, 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 001 (CoRR, 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 003; Yu Luo; Haijin Liang (CoRR, 2022)

T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking. - Xiaohui Xie; Qian Dong; Bingning Wang; Feiyang Lv; Ting Yao; Weinan Gan; Zhijing Wu 001; Xiangsheng Li; Haitao Li 006; Yiqun Liu 001; Jin Ma 003 (SIGIR, 2023)

Baichuan 2: Open Large-scale Language Models. - Aiyuan Yang; Bin Xiao; Bingning Wang; Borong Zhang; Ce Bian; Chao Yin; Chenxu Lv; Da Pan 003; Dian Wang; Dong Yan; Fan Yang 087; Fei Deng; et al. (CoRR, 2023)

Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models. - Jie Chen 007; Yupeng Zhang; Bingning Wang; Xin Zhao 018; Ji-Rong Wen; Weipeng Chen (EMNLP (Findings), 2024)

MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic. - Yuyan Zhou; Liang Song; Bingning Wang; Weipeng Chen (EMNLP, 2024)

Exploring Context Window of Large Language Models via Decomposed Positional Vectors. - Zican Dong; Junyi Li; Xin Men; Xin Zhao 018; Bingning Wang; Zhen Tian 001; Weipeng Chen; Ji-Rong Wen (NeurIPS, 2024)

Base of RoPE Bounds Context Length. - Mingyu Xu; Xin Men; Bingning Wang; Qingyu Zhang; Hongyu Lin; Xianpei Han; Weipeng Chen (NeurIPS, 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 001; 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)

Accurate and Reliable Predictions with Mutual-Transport Ensemble. - Han Liu; Peng Cui 007; Bingning Wang; Jun Zhu 001; Xiaolin Hu 001 (CoRR, 2024)

Needle In A Video Haystack: A Scalable Synthetic Framework for Benchmarking Video MLLMs. - Zijia Zhao; Haoyu Lu; Yuqi Huo; Yifan Du 002; Tongtian Yue; Longteng Guo; Bingning Wang; Weipeng Chen; Jing Liu 001 (CoRR, 2024)

Full-ECE: A Metric For Token-level Calibration on Large Language Models. - Han Liu; Yupeng Zhang; Bingning Wang; Weipeng Chen; Xiaolin Hu 001 (CoRR, 2024)

Towards Event-oriented Long Video Understanding. - Yifan Du 002; Kun Zhou 002; Yuqi Huo; Yifan Li 009; Wayne Xin Zhao; Haoyu Lu; Zijia 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 003; Yiding Sun; Shusen Zhang; Zheng Liang; Xin Wu; Yanjun Shen; Fan Yang 087; Haoze Sun; Tianpeng Li; Mingan Lin; Jianhua Xu; et al. (CoRR, 2024)

Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models. - Zhipeng Chen 001; Liang Song; Kun Zhou 002; Wayne Xin Zhao; Bingning Wang; Weipeng Chen; Ji-Rong Wen (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)

LLaSA: Large Language and Structured Data Assistant. - Yao Xu; Shizhu He; Xiangrong Zeng; Jiabei Chen; Guang Liu; Bingning Wang; Jun Zhao 001; Kang Liu 001 (CoRR, 2024)

KV Shifting Attention Enhances Language Modeling. - Mingyu Xu; Wei Cheng; Bingning Wang; Weipeng Chen (CoRR, 2024)

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation. - Zican Dong; Junyi Li; Jinhao Jiang; Mingyu Xu; Xin Zhao; Bingning Wang; Weipeng Chen (ACL (1), 2025)

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect. - Xin Men; Mingyu Xu; Qingyu Zhang; Qianhao Yuan; Bingning Wang; Hongyu Lin; Yaojie Lu 001; Xianpei Han; Weipeng Chen (ACL (Findings), 2025)

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning. - Han Liu; Peng Cui 007; Bingning Wang; Weipeng Chen; Yupeng Zhang; Jun Zhu 001; Xiaolin Hu 001 (CVPR, 2025)

Efficient Motion-Aware Video MLLM. - Zijia Zhao; Yuqi Huo; Tongtian Yue; Longteng Guo; Haoyu Lu; Bingning Wang; Weipeng Chen; Jing Liu (CVPR, 2025)

Exploring the Design Space of Visual Context Representation in Video MLLMs. - Yifan Du 002; Yuqi Huo; Kun Zhou 002; Zijia Zhao; Haoyu Lu; Han Huang; Xin Zhao 018; Bingning Wang; Weipeng Chen; Ji-Rong Wen (ICLR, 2025)

Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs. - Zijia Zhao; Haoyu Lu; Yuqi Huo; Yifan Du 002; Tongtian Yue; Longteng Guo; Bingning Wang; Weipeng Chen; Jing Liu 001 (ICLR, 2025)

LLaSA: Large Language and Structured Data Assistant. - Yao Xu; Shizhu He; Jiabei Chen; ZengXiangrong ZengXiangrong; Bingning Wang; Guang Liu; Jun Zhao 001; Kang Liu 001 (NAACL (Long Papers), 2025)

Virgo: A Preliminary Exploration on Reproducing o1-like MLLM. - Yifan Du 002; Zikang Liu 001; Yifan Li 009; Wayne Xin Zhao; Yuqi Huo; Bingning Wang; Weipeng Chen; Zheng Liu 011; Zhongyuan Wang 006; Ji-Rong Wen (CoRR, 2025)

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation. - Zican Dong; Junyi Li; Jinhao Jiang; Mingyu Xu; Wayne Xin Zhao; Bingning Wang; Weipeng Chen (CoRR, 2025)

Baichuan-M1: Pushing the Medical Capability of Large Language Models. - Bingning Wang; Haizhou Zhao; Huozhi Zhou; Liang Song; Mingyu Xu; Wei Cheng; Xiangrong Zeng; Yupeng Zhang; Yuqi Huo; Zecheng Wang; Zhengyun Zhao; Da Pan 003; et al. (CoRR, 2025)

Efficient Motion-Aware Video MLLM. - Zijia Zhao; Yuqi Huo; Tongtian Yue; Longteng Guo; Haoyu Lu; Bingning Wang; Weipeng Chen; Jing Liu 001 (CoRR, 2025)

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN. - Yao Xu; Mingyu Xu; Fangyu Lei; Wangtao Sun; Xiangrong Zeng; Bingning Wang; Guang Liu; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers. - Rihui Xin; Han Liu; Zecheng Wang; Yupeng Zhang; Dianbo Sui; Xiaolin Hu 001; Bingning Wang (CoRR, 2025)

SSRL: Self-Search Reinforcement Learning. - Yuchen Fan; Kaiyan Zhang; Heng Zhou; Yuxin Zuo; Yanxu Chen; Yu Fu; Xinwei Long; Xuekai Zhu; Che Jiang; Yuchen Zhang; Li Kang; Gang Chen; et al. (CoRR, 2025)

Towards enhanced LLM pretraining: Dynamic checkpoint merging via generation quality. - Zecheng Wang; Deyuan Liu; Chunshan Li; Dianhui Chu; Weipeng Chen; Bingning Wang; Dianbo Sui (Inf. Fusion, 2026)