龙婷｜吉林大学｜学者主页

期刊论文

2026

Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem

Lichang Song, Ting Long, Yi Chang

DOI

2026

Personalized Education with Ranking Alignment Recommendation

Haipeng Liu, Yuxuan Liu, Ting Long

Lecture notes in computer science

DOI

2026

HierLLM: Hierarchical Large Language Model for Question Recommendation

Yuxuan Liu, Haipeng Liu, Ting Long

Lecture notes in computer science

DOI

2026

Improving Question Recommendation Through Oracle Recommendation Imitation

Haipeng Liu, Ting Long, Yixiang Shan, Liang Yin, Yi Chang

Lecture notes in computer science

DOI

2026

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning

Wei Liu, Ting Long

arXiv.org

DOI

2025

AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing

Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Hai Yu

Lecture notes in computer science

DOI

2025

IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing

Jingwei Yu, Zhenyu Mu, Weiwen Liu, Hangyu Wang, Ting Long, Weinan Zhang, Yong Yu

DOI

2025

CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing

Jingwei Yu, Zhenyu Mu, Weiwen Liu, Ting Long, Weiming Zhang, Weinan Zhang, Yong Hai Yu

DOI

2025

Simulating Question-answering Correctness with a Conditional Diffusion

Ting Long, Liang Yin, Yi Chang, Wei Xia, Yong Hai Yu

DOI

2025

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making

Lu Guo, Yixiang Shan, Zhengbang Zhu, Qifan Liang, Lichang Song, Ting Long, Weinan Zhang, Yi Chang

arXiv.org

DOI

2025

ContraDiff: Planning Towards High Return States via Contrastive Learning

Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin

International Conference on Learning Representations

2025

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency

Qifan Liang, Yixiang Shan, Haipeng Liu, Zhengbang Zhu, Ting Long, Weinan Zhang, Yuan Tian

International Conference on Learning Representations

2024

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching

Guang-He Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang

International Conference on Machine Learning

DOI

2023

SACAT: Student-Adaptive Computerized Adaptive Testing

Jingwei Yu, Zhenyu Mu, Jiayi Lei, Liang Yin, Wei Xia, Yong Hai Yu, Ting Long

DOI

2023

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Hai Yu

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2013

Novel magnetic field computation model in pattern classification

Feng Pan, Xiaoting Li, Ting Long, Xiaohui Hu, Tingting Ren, Junping Du

Journal Of Systems Engineering And Electronics，Vol. 240, No. 50

DOI

预印本

2026

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

Haotong Yang, Ting Long, Yi Chang

arXiv (Cornell University)

DOI

2026

Mitigating Capability Degradation in LLM Self-Improvement via Representation Geometry Regularization

Jiaqi Tian, Ting Long

arXiv preprint

2026

Ruyi2.5 Technical Report

Huan Song, Shuyu Tian, Qingfei Zhao, Wenhao Hong, Jiang Liu, Ting Long, Jiawei Shao, Xuelong Li

arXiv preprint

2026

Privacy-Aware Camera 2.0 Technical Report

Huan Song, Shuyu Tian, Ting Long, Jiang Liu, Cheng Yuan, Zhenyu Jia, Jiawei Shao, Xuelong Li

arXiv preprint

2025

Constructing a Question-Answering Simulator through the Distillation of LLMs

Haipeng Liu, Ting Long, Jing Fu

arXiv preprint

2025

Theoretical Foundations of Scaling Law in Familial Models

Huan Song, Qingfei Zhao, Ting Long, Shuyu Tian, Hongjun An, Jiawei Shao, Xuelong Li

arXiv preprint

2022

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu

arXiv preprint

龙婷

精选作品

期刊论文

Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem

Personalized Education with Ranking Alignment Recommendation

HierLLM: Hierarchical Large Language Model for Question Recommendation

Improving Question Recommendation Through Oracle Recommendation Imitation

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning

AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing

IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing

CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing

Simulating Question-answering Correctness with a Conditional Diffusion

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making

ContraDiff: Planning Towards High Return States via Contrastive Learning

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching

SACAT: Student-Adaptive Computerized Adaptive Testing

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

Novel magnetic field computation model in pattern classification

预印本

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

Mitigating Capability Degradation in LLM Self-Improvement via Representation Geometry Regularization

Ruyi2.5 Technical Report

Privacy-Aware Camera 2.0 Technical Report

Constructing a Question-Answering Simulator through the Distillation of LLMs

Theoretical Foundations of Scaling Law in Familial Models

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

研究方向