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2020 – today
- 2024
[j1]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): 3999-4012 (2024)- [c21]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: 2354-2364 - [c20]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: 3707-3717 - [c19]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: 2136-2153 - [c18]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: 125-133 - [i17]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 abs/2401.11107 (2024) - [i16]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 abs/2402.17256 (2024) - [i15]Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang:
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. CoRR abs/2404.05342 (2024) - 2023
- [c17]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: 476-486 - [c16]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: 4535-4553 - [c15]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: 5105-5119 - [c14]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: 6532-6546 - [c13]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: 8065-8079 - [c12]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: 9661-9675 - [c11]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: 13139-13151 - [c10]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: 13785-13802 - [c9]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: 3854-3859 - [c8]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: 1-3 - [c7]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: 3926-3939 - [c6]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: 10291-10304 - [c5]Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, Zongyu Wang, Rui Xie, Yunsen Xian:
Towards Visual Taxonomy Expansion. ACM Multimedia 2023: 6481-6490 - [c4]Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang:
Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. RecSys 2023: 723-729 - [c3]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: 485-489 - [i14]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 abs/2305.12129 (2023) - [i13]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 abs/2305.16726 (2023) - [i12]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 abs/2305.17699 (2023) - [i11]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 abs/2306.00014 (2023) - [i10]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 abs/2306.10315 (2023) - [i9]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 abs/2308.13259 (2023) - [i8]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 abs/2308.14436 (2023) - [i7]Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian:
Exchanging-based Multimodal Fusion with Transformer. CoRR abs/2309.02190 (2023) - [i6]Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, Zongyu Wang, Rui Xie, Yunsen Xian:
Towards Visual Taxonomy Expansion. CoRR abs/2309.06105 (2023) - [i5]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 abs/2310.10176 (2023) - [i4]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 abs/2310.13380 (2023) - [i3]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 abs/2311.08268 (2023) - [i2]Dan Ma, Jun Xu, Zongyu Wang, Xuezhi Cao, Yunsen Xian:
Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis. CoRR abs/2311.16678 (2023) - 2022
- [c2]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 - [c1]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: 3241-3249 - [i1]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 abs/2205.09394 (2022)
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