Yunjie Ji

According to our database, Yunjie Ji authored at least 20 papers between 2017 and 2025.

Collaborative distances:

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

2025

Not All Correct Answers Are Equal: Why Your Distillation Source Matters.

Xiaoyu Tian, Yunjie Ji, Haotian Wang, Shuaiting Chen, Sitong Zhao, Yiping Peng, Han Zhao, Xiangang Li

CoRR, May, 2025

AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale.

Yunjie Ji, Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yiping Peng, Han Zhao, Xiangang Li

CoRR, May, 2025

Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study.

Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yiping Peng, Yunjie Ji, Han Zhao, Xiangang Li

CoRR, May, 2025

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training.

Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yiping Peng, Yunjie Ji, Han Zhao, Xiangang Li

CoRR, April, 2025

Leveraging Reasoning Model Answers to Enhance Non-Reasoning Model Capability.

Haotian Wang, Han Zhao, Shuaiting Chen, Xiaoyu Tian, Sitong Zhao, Yunjie Ji, Yiping Peng, Xiangang Li

CoRR, April, 2025

How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study.

Yunjie Ji, Sitong Zhao, Xiaoyu Tian, Haotian Wang, Shuaiting Chen, Yiping Peng, Han Zhao, Xiangang Li

CoRR, April, 2025

Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking.

Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yunjie Ji, Yiping Peng, Han Zhao, Xiangang Li

CoRR, March, 2025

1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training.

Han Zhao, Haotian Wang, Yiping Peng, Sitong Zhao, Xiaoyu Tian, Shuaiting Chen, Yunjie Ji, Xiangang Li

CoRR, March, 2025

Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning.

Ruoxi Xu, Yunjie Ji, Boxi Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Ben He, Yingfei Sun, Xiangang Li, Le Sun

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

2024

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design.

Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LoT-nuScenes: A Virtual Long-Tail Scenario Dataset for Parallel Vision and Parallel Vehicles.

Yang Mi, Yunjie Ji, Keqiu Wang, Yadong Wang, Tianyu Shen, Kunfeng Wang

Proceedings of the 4th IEEE International Conference on Digital Twins and Parallel Intelligence, 2024

2023

A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model.

Xianghui Sun, Yunjie Ji, Baochang Ma, Xiangang Li

CoRR, 2023

Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation.

Yunjie Ji, Yan Gong, Yong Deng, Yiping Peng, Qiang Niu, Baochang Ma, Xiangang Li

CoRR, 2023

Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases.

Yunjie Ji, Yong Deng, Yan Gong, Yiping Peng, Qiang Niu, Lei Zhang, Baochang Ma, Xiangang Li

CoRR, 2023

Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences.

Yunjie Ji, Yan Gong, Yiping Peng, Chao Ni, Peiyan Sun, Dongyu Pan, Baochang Ma, Xiangang Li

CoRR, 2023

Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition.

Chenxiao Dou, Xianghui Sun, Yaoshu Wang, Yunjie Ji, Baochang Ma, Xiangang Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning.

Yunjie Ji, Liangyu Chen, Chenxiao Dou, Baochang Ma, Xiangang Li

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2020

Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification.

Yunjie Ji, Hao Liu, Bolei He, Xinyan Xiao, Hua Wu, Yanhua Yu

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

2017

Performance Tuning and Modeling for Big Data Applications in Docker Containers.

Kejiang Ye, Yunjie Ji

Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

An Evaluation Method Based on Co-word Clustering Analysis - Case Study of Internet + Innovation and Entrepreneurship Economy.

Yunjie Ji, Yao Jiang, Ling He

Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017