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Jiashu Pu
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2020 – today
- 2024
- [c11]Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu:
LANID: LLM-assisted New Intent Discovery. LREC/COLING 2024: 10110-10116 - [c10]Jing Chen, Xinyu Zhu, Cheng Yang, Chufan Shi, Yadong Xi, Yuxiang Zhang, Junjie Wang, Jiashu Pu, Tian Feng, Yujiu Yang, Rongsheng Zhang:
HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing. EMNLP (Findings) 2024: 8075-8121 - [i9]Jiashu Pu, Yajing Wan, Yuru Zhang, Jing Chen, Ling Cheng, Qian Shao, Yongzhu Chang, Tangjie Lv, Rongsheng Zhang:
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation. CoRR abs/2402.09954 (2024) - [i8]Jing Chen, Xinyu Zhu, Cheng Yang, Chufan Shi, Yadong Xi, Yuxiang Zhang, Junjie Wang, Jiashu Pu, Rongsheng Zhang, Yujiu Yang, Tian Feng:
HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing. CoRR abs/2406.11683 (2024) - 2023
- [j1]Zhipeng Hu, Yu Ding
, Runze Wu, Lincheng Li, Rongsheng Zhang, Yujing Hu, Feng Qiu, Zhimeng Zhang, Kai Wang, Shiwei Zhao, Yongqiang Zhang, Ji Jiang, Yadong Xi, Jiashu Pu, Wei Zhang, Suzhen Wang, Ke Chen, Tianze Zhou, Jiarui Chen, Yan Song, Tangjie Lv, Changjie Fan:
Deep learning applications in games: a survey from a data perspective. Appl. Intell. 53(24): 31129-31164 (2023) - [c9]Yongzhu Chang, Rongsheng Zhang, Lin Jiang, Qihang Chen, Le Zhang, Jiashu Pu:
Sudowoodo: A Chinese Lyric Imitation System with Source Lyrics. EMNLP (Demos) 2023: 99-105 - [c8]Jiashu Pu, Ling Cheng, Lu Fan, Tangjie Lv, Rongsheng Zhang:
Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts. EMNLP 2023: 9472-9496 - [c7]Yongzhu Chang
I-WAS: A Data Augmentation Method with GPT-2 for Simile Detection. ICDAR (3) 2023: 265-279 - [c6]Lu Fan
Neighborhood-based Hard Negative Mining for Sequential Recommendation. SIGIR 2023: 2042-2046 - [i7]Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu:
Neighborhood-based Hard Negative Mining for Sequential Recommendation. CoRR abs/2306.10047 (2023) - [i6]Yongzhu Chang, Rongsheng Zhang, Jiashu Pu:
I-WAS: a Data Augmentation Method with GPT-2 for Simile Detection. CoRR abs/2308.04109 (2023) - [i5]Yongzhu Chang, Rongsheng Zhang, Lin Jiang, Qihang Chen, Le Zhang, Jiashu Pu:
Sudowoodo: a Chinese Lyric Imitation System with Source Lyrics. CoRR abs/2308.04665 (2023) - [i4]Jiashu Pu, Shiwei Zhao, Ling Cheng, Yongzhu Chang, Runze Wu, Tangjie Lv, Rongsheng Zhang:
Examining the Effect of Pre-training on Time Series Classification. CoRR abs/2309.05256 (2023) - 2022
- [c5]Weijie Chen, Yongzhu Chang, Rongsheng Zhang, Jiashu Pu, Guandan Chen, Le Zhang, Yadong Xi, Yijiang Chen, Chang Su:
Probing Simile Knowledge from Pre-trained Language Models. ACL (1) 2022: 5875-5887 - [c4]Jiashu Pu, Ziyi Huang, Yadong Xi, Guandan Chen, Weijie Chen, Rongsheng Zhang:
Unraveling the Mystery of Artifacts in Machine Generated Text. LREC 2022: 6889-6898 - [c3]Xianyang Qi, Jiashu Pu, Shiwei Zhao, Runze Wu, Jianrong Tao:
A GNN-Enhanced Game Bot Detection Model for MMORPGs. PAKDD (2) 2022: 316-327 - [c2]Jiashu Pu, Jianshi Lin, Xiaoxi Mao, Jianrong Tao, Xudong Shen, Yue Shang, Runze Wu:
Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking. WWW 2022: 3396-3406 - [i3]Jiashu Pu, Guandan Chen, Yongzhu Chang, Xiaoxi Mao:
Dialog Intent Induction via Density-based Deep Clustering Ensemble. CoRR abs/2201.06731 (2022) - [i2]Weijie Chen, Yongzhu Chang, Rongsheng Zhang, Jiashu Pu, Guandan Chen, Le Zhang, Yadong Xi, Yijiang Chen, Chang Su:
Probing Simile Knowledge from Pre-trained Language Models. CoRR abs/2204.12807 (2022) - 2021
- [i1]Yadong Xi, Jiashu Pu, Xiaoxi Mao:
Taming Repetition in Dialogue Generation. CoRR abs/2112.08657 (2021)
2010 – 2019
- 2017
- [c1]James Thorne, Mingjie Chen, Giorgos Myrianthous, Jiashu Pu, Xiaoxuan Wang, Andreas Vlachos
Fake news stance detection using stacked ensemble of classifiers. NLPmJ@EMNLP 2017: 80-83
Coauthor Index
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last updated on 2024-11-15 19:29 CET by the dblp team
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