An Evaluation Method Based on Co-word Clustering Analysis - Case Study of Internet + Innovation and Entrepreneurship Economy. - Yunjie Ji; Yao Jiang; Ling He (GSKI (2), 2017)

Performance Tuning and Modeling for Big Data Applications in Docker Containers. - Kejiang Ye; Yunjie Ji (NAS, 2017)

Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification. - Yunjie Ji; Hao Liu 026; Bolei He; Xinyan Xiao; Hua Wu 003; Yanhua Yu (EMNLP (1), 2020)

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 (NAACL-HLT (Findings), 2022)

Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition. - Chenxiao Dou; Xianghui Sun; Yaoshu Wang; Yunjie Ji; Baochang Ma; Xiangang Li (AAAI, 2023)

Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences. - Yunjie Ji; Yan Gong; Yiping Peng; Chao Ni 008; Peiyan Sun; Dongyu Pan; 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)

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)

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)

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 (DTPI, 2024)

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. - Zhihai Wang; Jie Wang 005; Dongsheng Zuo; Yunjie Ji; Xilin Xia; Yuzhe Ma; Jianye Hao; Mingxuan Yuan; Yongdong Zhang 001; Feng Wu 001 (ICML, 2024)

Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning. - Ruoxi Xu; Yunjie Ji; Boxi Cao; Yaojie Lu 001; Hongyu Lin; Xianpei Han; Ben He; Yingfei Sun; Xiangang Li; Le Sun 001 (ACL (1), 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, 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, 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, 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, 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, 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, 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, 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, 2025)