Qin Chen

According to our database, Qin Chen authored at least 73 papers between 2014 and 2025.

Collaborative distances:

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

2025

Recent Advances of Foundation Language Models-based Continual Learning: A Survey.

Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Yuan Xie, Liang He

ACM Comput. Surv., May, 2025

Task-Core Memory Management and Consolidation for Long-term Continual Learning.

Tianyu Huai, Jie Zhou, Yuxuan Cai, Qin Chen, Wen Wu, Xingjiao Wu, Xipeng Qiu, Liang He

CoRR, May, 2025

Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback.

Yutao Yang, Jie Zhou, Junsong Li, Qianjun Pan, Bihao Zhan, Qin Chen, Xipeng Qiu, Liang He

CoRR, May, 2025

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law.

Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He

CoRR, May, 2025

Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning.

Junsong Li, Jie Zhou, Yutao Yang, Bihao Zhan, Qianjun Pan, Yuyang Ding, Qin Chen, Jiang Bo, Xin Lin, Liang He

CoRR, March, 2025

Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences.

Kedi Chen, Zhikai Lei, Fan Zhang, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang

CoRR, March, 2025

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction.

Ziwei Wang, Jie Zhou, Qin Chen, Min Zhang, Bo Jiang, Aimin Zhou, Qinchun Bai, Liang He

CoRR, February, 2025

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection.

Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng, Liang He

CoRR, January, 2025

Multi-MELO: Unified multimodal model editing with dynamic LoRA.

Qin Chen, Jianghao Yin, Lang Yu, Jie Zhou, Liang He

Expert Syst. Appl., 2025

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering.

Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering.

Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He

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

P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts.

Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation.

Lang Yu, Lina Ge, Guanghui Wang, Jianghao Yin, Qin Chen, Jie Zhou, Liang He

IEEE Internet Things J., November, 2024

CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification.

Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He

IEEE ACM Trans. Audio Speech Lang. Process., 2024

CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models.

Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He

CoRR, 2024

P-Tailor: Customizing Personality Traits for Language Models via Mixture of Specialized LoRA Experts.

Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He

CoRR, 2024

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis.

Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He

CoRR, 2024

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking.

Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He

CoRR, 2024

Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check.

Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Prompt Debiasing via Causal Intervention for Event Argument Extraction.

Jiaju Lin, Jie Zhou, Qin Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Modeling Comparative Logical Relation with Contrastive Learning for Text Generation.

Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering.

Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He

Proceedings of the International Joint Conference on Neural Networks, 2024

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis.

Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Arlene Chen, Liang He

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

DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models.

Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He

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

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis.

Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis.

Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder.

Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models.

Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching.

Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA.

Lang Yu, Qin Chen, Jie Zhou, Liang He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mathematical Language Models: A Survey.

Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He

CoRR, 2023

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.

Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu

CoRR, 2023

Black-box Prompt Tuning for Vision-Language Model as a Service.

Lang Yu, Qin Chen, Jiaju Lin, Liang He

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog.

Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction.

Zhikai Lei, Jie Zhou, Qin Chen, Qi Zhang, Liang He

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations.

Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He

Proceedings of the IEEE International Conference on Acoustics, 2023

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion.

Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Causal Intervention-based Prompt Debiasing for Event Argument Extraction.

Jiaju Lin, Jie Zhou, Qin Chen

CoRR, 2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments.

Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He

CoRR, 2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Proceedings of the International Joint Conference on Neural Networks, 2022

CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction.

Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification.

Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He

Proceedings of the IEEE International Conference on Acoustics, 2022

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck.

Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering.

Jiayu Ding, Siyuan Wang, Qin Chen, Zhongyu Wei

CoRR, 2021

Eliciting Knowledge from Language Models for Event Extraction.

Jiaju Lin, Jin Jian, Qin Chen

CoRR, 2021

Human-In-The-Loop Document Layout Analysis.

Xingjiao Wu, Tianlong Ma, Xin Li, Qin Chen, Liang He

CoRR, 2021

ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline.

Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

One-Stage Visual Grounding via Semantic-Aware Feature Filter.

Jiabo Ye, Xin Lin, Liang He, Dingbang Li, Qin Chen

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Operation Diagnosis on Procedure Graph: The Task and Dataset.

Ruipu Luo, Qi Zhu, Qin Chen, Siyuan Wang, Zhongyu Wei, Weijian Sun, Shuang Tang

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

Attending via both Fine-tuning and Compressing.

Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He

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

2020

Two-stage sentiment classification based on user-product interactive information.

Yu Ji, Wen Wu, Shiyun Chen, Qin Chen, Wenxin Hu, Liang He

Knowl. Based Syst., 2020

Position-aware hierarchical transfer model for aspect-level sentiment classification.

Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He

Inf. Sci., 2020

Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning.

Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, Xuanjing Huang

CoRR, 2020

Automatic Term Name Generation for Gene Ontology: Task and Dataset.

Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.

Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee

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

2019

Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges.

Jie Zhou, Jimmy Xiangji Huang, Qin Chen, Qinmin Vivian Hu, Tingting Wang, Liang He

IEEE Access, 2019

Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph.

Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks.

Yiying Yang, Zhongyu Wei, Qin Chen, Libo Wu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

TAKer: Fine-Grained Time-Aware Microblog Search with Kernel Density Estimation.

Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He

IEEE Trans. Knowl. Data Eng., 2018

Modeling Queries with Contextual Snippets for Information Retrieval.

Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He

ACM Trans. Intell. Syst. Technol., 2018

CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network.

Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation.

Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, Liang He

Proceedings of the Neural Information Processing - 25th International Conference, 2018

SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification.

Qinmin Hu, Jie Zhou, Qin Chen, Liang He

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity.

Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Enhancing Recurrent Neural Networks with Positional Attention for Question Answering.

Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He, Weijie An

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Representation Learning with Entity Topics for Knowledge Graphs.

Xin Ouyang, Yan Yang, Liang He, Qin Chen, Jiacheng Zhang

Proceedings of the Knowledge Science, Engineering and Management, 2017

Modeling User-Item Profiles with Neural Networks for Rating Prediction.

Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Knowledge Memory Based LSTM Model for Answer Selection.

Weijie An, Qin Chen, Yan Yang, Liang He

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

SG++: Word Representation with Sentiment and Negation for Twitter Sentiment Classification.

Qinmin Hu, Yijun Pei, Qin Chen, Liang He

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015

ECNU at TREC 2015: Microblog Track.

Qin Chen, Bo Wang, Beijing Huang, Qinmin Hu, Liang He

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

2014

Locating Query-oriented Experts in Microblog Search.

Qin Chen, Yan Yang, Qinmin Hu, Liang He

Proceedings of Workshop on Semantic Matching in Information Retrieval co-located with the 37th international ACM SIGIR conference on research and development in information retrieval, 2014