Yunsen Xian

39 papers A* 3A 3B 1Journal 18Unranked 14
YearRankTypeTitle / Venue / Authors
2024 — conf
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily.
NAACL-HLT
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
2024 — conf
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.
LREC/COLING
Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024 J jnl
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.
CoRR
Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2024 J jnl
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model.
CoRR
Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang
2024 — conf
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition.
LREC/COLING
Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
2024 A conf
Exploiting Duality in Open Information Extraction with Predicate Prompt.
WSDM
Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, Zongyu Wang, Rui Xie, Yunsen Xian
2024 J jnl
Exploiting Duality in Open Information Extraction with Predicate Prompt.
CoRR
Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, Zongyu Wang, Rui Xie, Yunsen Xian
2024 J jnl
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning.
Mach. Learn.
Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong
2023 J jnl
A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily.
CoRR
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang
2023 — conf
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.
EMNLP (Findings)
Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023 J jnl
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.
CoRR
Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023 A conf
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model.
RecSys
Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang
2023 A conf
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA.
CIKM
Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu
2023 J jnl
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA.
CoRR
Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu
2023 — conf
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery.
ACL (1)
Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023 J jnl
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery.
CoRR
Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu
2023 J jnl
Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis.
CoRR
Dan Ma, Jun Xu, Zongyu Wang, Xuezhi Cao, Yunsen Xian
2023 J jnl
Exchanging-based Multimodal Fusion with Transformer.
CoRR
Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
2023 — conf
Fusion or Defusion? Flexible Vision-and-Language Pre-Training.
ACL (Findings)
Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian
2023 — conf
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue.
ACL (1)
Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
2023 J jnl
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue.
CoRR
Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu
2023 J jnl
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering.
CoRR
Keheng Wang, Feiyu Duan, Sirui Wang, Peiguang Li, Yunsen Xian, Chuantao Yin, Wenge Rong, Zhang Xiong
2023 A* conf
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.
EMNLP
Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023 J jnl
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.
CoRR
Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu
2023 — conf
Lifting the Curse of Capacity Gap in Distilling Language Models.
ACL (1)
Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song
2023 J jnl
Lifting the Curse of Capacity Gap in Distilling Language Models.
CoRR
Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song
2023 — conf
Meta-Generator Enhanced Multi-Domain Recommendation.
WWW (Companion Volume)
Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu, Han Liu
2023 — conf
Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task.
ACL (Findings)
Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang
2023 — conf
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.
ACL (Findings)
Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
2023 J jnl
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.
CoRR
Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan
2023 — conf
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.
ACL (1)
Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan
2023 J jnl
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.
CoRR
Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan
2023 B conf
TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning.
DSAA
Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong
2023 A* conf
Towards Visual Taxonomy Expansion.
ACM Multimedia
Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, Zongyu Wang, Rui Xie, Yunsen Xian
2023 J jnl
Towards Visual Taxonomy Expansion.
CoRR
Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, Zongyu Wang, Rui Xie, Yunsen Xian
2023 — conf
Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization.
ACL (industry)
Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu
2022 A* conf
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System.
KDD
Xiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian
2022 J jnl
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System.
CoRR
Xiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian
2022 — conf
Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction.
DL4SR@CIKM
Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu