Yunsen Xian

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 39

Top Topics

Open Information Extraction

Attribute Values

Top Venues

Publications

Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning. Mach. Learn. 113 (7) (2024)
Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, Zongyu Wang, Rui Xie, Yunsen Xian
Exploiting Duality in Open Information Extraction with Predicate Prompt. CoRR (2024)
Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. LREC/COLING (2024)
Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR (2024)
Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, Zongyu Wang, Rui Xie, Yunsen Xian
Exploiting Duality in Open Information Extraction with Predicate Prompt. WSDM (2024)
Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. CoRR (2024)
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. NAACL-HLT (2024)
Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING (2024)
Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian
Fusion or Defusion? Flexible Vision-and-Language Pre-Training. ACL (Findings) (2023)
Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) (2023)
Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR (2023)
Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang
Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task. ACL (Findings) (2023)
Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. CoRR (2023)
Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu
Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization. ACL (industry) (2023)
Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR (2023)
Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP (2023)
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. CoRR (2023)
Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, Zongyu Wang, Rui Xie, Yunsen Xian
Towards Visual Taxonomy Expansion. ACM Multimedia (2023)
Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. ACL (Findings) (2023)
Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR (2023)
Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. CoRR (2023)
Dan Ma, Jun Xu, Zongyu Wang, Xuezhi Cao, Yunsen Xian
Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis. CoRR (2023)
Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song
Lifting the Curse of Capacity Gap in Distilling Language Models. ACL (1) (2023)
Keheng Wang, Feiyu Duan, Sirui Wang, Peiguang Li, Yunsen Xian, Chuantao Yin, Wenge Rong, Zhang Xiong
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering. CoRR (2023)
Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song
Lifting the Curse of Capacity Gap in Distilling Language Models. CoRR (2023)
Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. RecSys (2023)
Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, Zongyu Wang, Rui Xie, Yunsen Xian
Towards Visual Taxonomy Expansion. CoRR (2023)
Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. CoRR (2023)
Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL (1) (2023)
Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. CIKM (2023)
Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu, Han Liu
Meta-Generator Enhanced Multi-Domain Recommendation. WWW (Companion Volume) (2023)
Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) (2023)
Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong
TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning. DSAA (2023)
Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
Exchanging-based Multimodal Fusion with Transformer. CoRR (2023)
Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. ACL (1) (2023)
Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. CoRR (2023)
Xiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System. CoRR (2022)
Xiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System. KDD (2022)
Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu
Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction. DL4SR@CIKM (2022)