Yunsen Xian

According to our database, Yunsen Xian authored at least 23 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.

Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

CoRR, 2024

Exploiting Duality in Open Information Extraction with Predicate Prompt.

Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, Zongyu Wang, Rui Xie, Yunsen Xian

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis.

Dan Ma, Jun Xu, Zongyu Wang, Xuezhi Cao, Yunsen Xian

CoRR, 2023

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily.

Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang

CoRR, 2023

Exchanging-based Multimodal Fusion with Transformer.

Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian

CoRR, 2023

Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering.

Keheng Wang, Feiyu Duan, Sirui Wang, Peiguang Li, Yunsen Xian, Chuantao Yin, Wenge Rong, Zhang Xiong

CoRR, 2023

Meta-Generator Enhanced Multi-Domain Recommendation.

Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu, Han Liu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model.

Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Towards Visual Taxonomy Expansion.

Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, Zongyu Wang, Rui Xie, Yunsen Xian

Proceedings of the 31st ACM International Conference on Multimedia, 2023

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.

Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.

Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning.

Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA.

Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Lifting the Curse of Capacity Gap in Distilling Language Models.

Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task.

Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue.

Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training.

Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery.

Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.

Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization.

Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Q. Zhu

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.

Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System.

Xiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction.

Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022