Qin, Bing

38 publications

IJCAI 2025 Beyond Fixed Length: Bucket Pre-Training Is All You Need Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu

AAAI 2025 Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin

AAAI 2025 Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin

NeurIPS 2025 How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-Trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation Xin Lu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin, Ting Liu

ICLR 2025 Improved Diffusion-Based Generative Model with Better Adversarial Robustness Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma

AAAI 2025 Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin

AAAI 2025 Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin

NeurIPS 2025 Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment Weixiang Zhao, Xingyu Sui, Yulin Hu, Jiahe Guo, Haixiao Liu, Biye Li, Yanyan Zhao, Bing Qin, Ting Liu

NeurIPS 2025 UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu

NeurIPS 2025 When Less Language Is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu

NeurIPS 2024 Discrete Modeling via Boundary Conditional Diffusion Processes Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin

NeurIPS 2024 Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin

NeurIPS 2024 Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin

AAAI 2024 From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin

IJCAI 2024 GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin

NeurIPS 2024 How Does Architecture Influence the Base Capabilities of Pre-Trained Language Models? a Case Study Based on FFN-Wider and MoE Transformers Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu

AAAI 2024 Manifold-Based Verbalizer Space Re-Embedding for Tuning-Free Prompt-Based Classification Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu

NeurIPS 2024 Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

NeurIPS 2024 MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin

AAAI 2024 MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin

IJCAI 2023 GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin

AAAI 2023 Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin

IJCAI 2023 Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin

AAAI 2023 STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-Training Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin

AAAI 2023 Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang

IJCAI 2022 A Survey on Dialogue Summarization: Recent Advances and New Frontiers Xiachong Feng, Xiaocheng Feng, Bing Qin

IJCAI 2021 Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng

AAAI 2020 Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu

AAAI 2020 Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang

AAAI 2019 Exploring Answer Stance Detection with Recurrent Conditional Attention Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin

AAAI 2018 Hierarchical Attention Flow for Multiple-Choice Reading Comprehension Haichao Zhu, Furu Wei, Bing Qin, Ting Liu

IJCAI 2018 Improving Low Resource Named Entity Recognition Using Cross-Lingual Knowledge Transfer Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu

IJCAI 2018 Topic-to-Essay Generation with Neural Networks Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu

IJCAI 2017 ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai

IJCAI 2017 Effective Deep Memory Networks for Distant Supervised Relation Extraction Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu

IJCAI 2016 Exploring Segment Representations for Neural Segmentation Models Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu

IJCAI 2016 HC-Search for Incremental Parsing Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu

IJCAI 2015 User Modeling with Neural Network for Review Rating Prediction Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang