Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction. - Yingyi Zhang 001; Xianneng Li; Yahe Yu; Jian Tang; Huanfang Deng; Junya Lu; Yeyin Zhang; Qiancheng Jiang; Yunsen Xian; Liqian Yu (DL4SR@CIKM, 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 (KDD, 2022)

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. - Zhuocheng Gong; Jiahao Liu; Qifan Wang 001; Yang Yang 129; Jingang Wang; Wei Wu 014; Yunsen Xian; Dongyan Zhao 001; Rui Yan 001 (ACL (Findings), 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 (ACL (industry), 2023)

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. - Jiduan Liu; Jiahao Liu; Qifan Wang 001; Jingang Wang; Wei Wu 014; Yunsen Xian; Dongyan Zhao 001; Kai Chen; Rui Yan 001 (ACL (1), 2023)

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. - Yutao Mou; Xiaoshuai Song; Keqing He 001; Chen Zeng; Pei Wang; Jingang Wang; Yunsen Xian; Weiran Xu (ACL (1), 2023)

Fusion or Defusion? Flexible Vision-and-Language Pre-Training. - Rongyi Sun; Ziran Li; Yifeng Ding; Qifan Wang 001; Jingang Wang; Haitao Zheng 002; Wei Wu 014; Yunsen Xian (ACL (Findings), 2023)

FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. - Weihao Zeng; Keqing He 001; Yejie Wang; Chen Zeng; Jingang Wang; Yunsen Xian; Weiran Xu (ACL (1), 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 001; Hongzhi Zhang (ACL (Findings), 2023)

Lifting the Curse of Capacity Gap in Distilling Language Models. - Chen Zhang 020; Yang Yang 129; Jiahao Liu; Jingang Wang; Yunsen Xian; Benyou Wang; Dawei Song 001 (ACL (1), 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 (CIKM, 2023)

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. - Xiaoshuai Song; Keqing He 001; Pei Wang; Guanting Dong; Yutao Mou; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (EMNLP, 2023)

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. - Pei Wang; Keqing He 001; Yutao Mou; Xiaoshuai Song; Yanan Wu; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (EMNLP (Findings), 2023)

Towards Visual Taxonomy Expansion. - Tinghui Zhu; Jingping Liu; Jiaqing Liang; Haiyun Jiang; Yanghua Xiao; Zongyu Wang; Rui Xie 005; Yunsen Xian (ACM Multimedia, 2023)

Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. - Sirui Wang; Peiguang Li; Yunsen Xian; Hongzhi Zhang (RecSys, 2023)

Meta-Generator Enhanced Multi-Domain Recommendation. - Yingyi Zhang 001; Xianneng Li; Yahe Yu; Jian Tang; Huanfang Deng; Junya Lu; Yeyin Zhang; Qiancheng Jiang; Yunsen Xian; Liqian Yu; Han Liu 008 (WWW (Companion Volume), 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 001 (CoRR, 2023)

Exchanging-based Multimodal Fusion with Transformer. - Renyu Zhu; Chengcheng Han 004; Yong Qian; Qiushi Sun; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (CoRR, 2023)

Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis. - Dan Ma 008; Jun Xu; Zongyu Wang; Xuezhi Cao; Yunsen Xian (CoRR, 2023)

Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. - Chengcheng Han 004; Renyu Zhu; Jun Kuang; Fengjiao Chen; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (LREC/COLING, 2024)

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. - Pei Wang; Keqing He 001; Yejie Wang; Xiaoshuai Song; Yutao Mou; Jingang Wang; Yunsen Xian; Xunliang Cai; Weiran Xu (LREC/COLING, 2024)

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. - Peng Ding 001; Jun Kuang; Dan Ma 008; Xuezhi Cao; Yunsen Xian; Jiajun Chen 001; Shujian Huang (NAACL-HLT, 2024)

Exploiting Duality in Open Information Extraction with Predicate Prompt. - Zhen Chen; Jingping Liu; Deqing Yang; Yanghua Xiao; Huimin Xu; Zongyu Wang; Rui Xie 005; Yunsen Xian (WSDM, 2024)

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 001 (Mach. Learn., 2024)