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Yunjie Ji
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2020 – today
- 2025
[c8]Ruoxi Xu, Yunjie Ji, Boxi Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Ben He, Yingfei Sun, Xiangang Li, Le Sun:
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning. ACL (1) 2025: 28682-28693
[i15]Han Zhao, Haotian Wang, Yiping Peng, Sitong Zhao, Xiaoyu Tian, Shuaiting Chen, Yunjie Ji, Xiangang Li:
1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training. CoRR abs/2503.19633 (2025)
[i14]Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yunjie Ji, Yiping Peng, Han Zhao, Xiangang Li:
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking. CoRR abs/2503.19855 (2025)
[i13]Ruoxi Xu, Yunjie Ji, Boxi Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Ben He, Yingfei Sun, Xiangang Li, Le Sun:
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning. CoRR abs/2504.00472 (2025)
[i12]Yunjie Ji, Sitong Zhao, Xiaoyu Tian, Haotian Wang, Shuaiting Chen, Yiping Peng, Han Zhao, Xiangang Li:
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study. CoRR abs/2504.00829 (2025)
[i11]Haotian Wang, Han Zhao, Shuaiting Chen, Xiaoyu Tian, Sitong Zhao, Yunjie Ji, Yiping Peng, Xiangang Li:
Leveraging Reasoning Model Answers to Enhance Non-Reasoning Model Capability. CoRR abs/2504.09639 (2025)
[i10]Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yiping Peng, Yunjie Ji, Han Zhao, Xiangang Li:
DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training. CoRR abs/2504.17565 (2025)
[i9]Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yiping Peng, Yunjie Ji, Han Zhao, Xiangang Li:
Exploring the Potential of Offline RL for Reasoning in LLMs: A Preliminary Study. CoRR abs/2505.02142 (2025)
[i8]Yunjie Ji, Xiaoyu Tian, Sitong Zhao, Haotian Wang, Shuaiting Chen, Yiping Peng, Han Zhao, Xiangang Li:
AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale. CoRR abs/2505.08311 (2025)
[i7]Xiaoyu Tian, Yunjie Ji, Haotian Wang, Shuaiting Chen, Sitong Zhao, Yiping Peng, Han Zhao, Xiangang Li:
Not All Correct Answers Are Equal: Why Your Distillation Source Matters. CoRR abs/2505.14464 (2025)
[i6]Keyu An, Yanni Chen, Chong Deng, Changfeng Gao, Zhifu Gao, Bo Gong, Xiangang Li, Yabin Li, Xiang Lv, Yunjie Ji, Yiheng Jiang, Bin Ma, Haoneng Luo, Chongjia Ni, Zexu Pan, Yiping Peng, Zhendong Peng, Peiyao Wang, Hao Wang, Wen Wang, Wupeng Wang, Biao Tian, Zhentao Tan, Nan Yang, Bin Yuan, Jieping Ye, Jixing Yu, Qinglin Zhang, Kun Zou, Han Zhao, Shengkui Zhao, Jingren Zhou:
FunAudio-ASR Technical Report. CoRR abs/2509.12508 (2025)- 2024
[c7]Yang Mi, Yunjie Ji, Keqiu Wang, Yadong Wang, Tianyu Shen, Kunfeng Wang:
LoT-nuScenes: A Virtual Long-Tail Scenario Dataset for Parallel Vision and Parallel Vehicles. DTPI 2024: 194-199
[c6]Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu:
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. ICML 2024: 51825-51853- 2023
[c5]Chenxiao Dou, Xianghui Sun, Yaoshu Wang, Yunjie Ji, Baochang Ma, Xiangang Li:
Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition. AAAI 2023: 12737-12744
[i5]Yunjie Ji, Yan Gong, Yiping Peng, Chao Ni, Peiyan Sun, Dongyu Pan, Baochang Ma, Xiangang Li:
Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences. CoRR abs/2303.07610 (2023)
[i4]Yunjie Ji, Yong Deng, Yan Gong, Yiping Peng, Qiang Niu, Lei Zhang, Baochang Ma, Xiangang Li:
Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases. CoRR abs/2303.14742 (2023)
[i3]Yunjie Ji, Yan Gong, Yong Deng, Yiping Peng, Qiang Niu, Baochang Ma, Xiangang Li:
Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation. CoRR abs/2304.07854 (2023)
[i2]Xianghui Sun, Yunjie Ji, Baochang Ma, Xiangang Li:
A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model. CoRR abs/2304.08109 (2023)- 2022
[c4]Yunjie Ji, Liangyu Chen, Chenxiao Dou, Baochang Ma, Xiangang Li:
To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning. NAACL-HLT (Findings) 2022: 1292-1300
[i1]Yunjie Ji, Liangyu Chen, Chenxiao Dou, Baochang Ma, Xiangang Li:
To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning. CoRR abs/2208.01299 (2022)- 2020
[c3]Yunjie Ji, Hao Liu, Bolei He
, Xinyan Xiao, Hua Wu, Yanhua Yu:
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification. EMNLP (1) 2020: 7012-7023
2010 – 2019
- 2017
[c2]Yunjie Ji, Yao Jiang, Ling He:
An Evaluation Method Based on Co-word Clustering Analysis - Case Study of Internet + Innovation and Entrepreneurship Economy. GSKI (2) 2017: 588-595
[c1]Kejiang Ye, Yunjie Ji:
Performance Tuning and Modeling for Big Data Applications in Docker Containers. NAS 2017: 1-6
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last updated on 2026-02-10 23:55 CET by the dblp team
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