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2020 – today
- 2024
[j23]Chunyun Zhang
, Hebo Ma, Chaoran Cui, Yumo Yao, Weiran Xu, Yunfeng Zhang, Yuling Ma:
CoSKT: A Collaborative Self-Supervised Learning Method for Knowledge Tracing. IEEE Trans. Learn. Technol. 17: 1502-1514 (2024)- [c128]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) 2024: 4706-4721 - [c127]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 - [c126]Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. LREC/COLING 2024: 2458-2467 - [c125]Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng:
Faceptor: A Generalist Model for Face Perception. ECCV (34) 2024: 240-260 - [c124]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 2024: 14027-14043 - [c123]Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu:
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. ICASSP 2024: 6150-6154 - [c122]Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. NAACL-HLT (Findings) 2024: 800-813 - [c121]Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu:
UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle. NAACL-HLT (Findings) 2024: 2661-2673 - [i55]Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu:
Knowledge Editing on Black-box Large Language Models. CoRR abs/2402.08631 (2024) - [i54]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR abs/2402.09136 (2024) - [i53]Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu:
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. CoRR abs/2402.11279 (2024) - [i52]Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu:
PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR abs/2402.11534 (2024) - [i51]Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu:
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task. CoRR abs/2402.14494 (2024) - [i50]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) - [i49]Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. CoRR abs/2403.01163 (2024) - [i48]Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng:
Faceptor: A Generalist Model for Face Perception. CoRR abs/2403.09500 (2024) - [i47]Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. CoRR abs/2404.00557 (2024) - [i46]Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu:
HFT: Half Fine-Tuning for Large Language Models. CoRR abs/2404.18466 (2024) - [i45]Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu:
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. CoRR abs/2406.08587 (2024) - [i44]Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu:
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. CoRR abs/2408.02632 (2024) - [i43]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR abs/2409.03810 (2024) - 2023
- [c120]Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. ACL (Findings) 2023: 825-834 - [c119]QiXiang Gao, Mingyang Sun, Yutao Mou, Chen Zeng, Weiran Xu:
Value type: the bridge to a better DST model. ACL (Findings) 2023: 1211-1219 - [c118]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 - [c117]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 - [c116]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL (1) 2023: 14179-14196 - [c115]Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CIKM 2023: 430-440 - [c114]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 - [c113]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 - [c112]Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu:
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. EMNLP (Findings) 2023: 4370-4382 - [c111]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 - [c110]Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu:
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. EMNLP (Findings) 2023: 10506-10518 - [c109]Yuxiang Wu, Guanting Dong, Weiran Xu:
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. EMNLP (Findings) 2023: 11093-11099 - [c108]Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu:
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. ICASSP 2023: 1-5 - [c107]Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu:
Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. ICASSP 2023: 1-5 - [c106]Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu:
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. NLPCC (1) 2023: 682-694 - [i42]Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu:
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. CoRR abs/2302.13584 (2023) - [i41]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) - [i40]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) - [i39]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. CoRR abs/2306.10317 (2023) - [i38]Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. CoRR abs/2307.02830 (2023) - [i37]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) - [i36]Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CoRR abs/2308.14533 (2023) - [i35]Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu:
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR abs/2310.03518 (2023) - [i34]Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu:
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. CoRR abs/2310.06504 (2023) - [i33]Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu:
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. CoRR abs/2310.10169 (2023) - [i32]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) - [i31]Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu:
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. CoRR abs/2310.10184 (2023) - [i30]Yuxiang Wu, Guanting Dong, Weiran Xu:
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. CoRR abs/2310.10520 (2023) - [i29]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) - 2022
- [j22]Lulu Zhao, Weiran Xu, Chunyun Zhang, Jun Guo:
Leveraging speaker-aware structure and factual knowledge for faithful dialogue summarization. Knowl. Based Syst. 245: 108550 (2022) - [c105]Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu:
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. ACL (2) 2022: 46-53 - [c104]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu:
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. COLING 2022: 608-615 - [c103]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. COLING 2022: 707-720 - [c102]Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. COLING 2022: 5327-5334 - [c101]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP 2022: 1517-1529 - [c100]QiXiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu:
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking. EMNLP 2022: 2460-2465 - [c99]Gang Zhao, Guanting Dong, Yidong Shi, Haolong Yan, Weiran Xu, Si Li:
Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. EMNLP (Findings) 2022: 6345-6350 - [c98]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP 2022: 7317-7325 - [c97]Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang:
A Robust Contrastive Alignment Method for Multi-Domain Text Classification. ICASSP 2022: 7827-7831 - [c96]Yanan Wu, Keqing He, Yuanmeng Yan, QiXiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu:
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. NAACL-HLT 2022: 4165-4179 - [c95]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu:
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. NAACL-HLT 2022: 4848-4862 - [c94]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu:
ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. SIGIR 2022: 245-255 - [i28]Liwen Wang, Rumei Li, Yang Yan, Yuanmeng Yan, Sirui Wang, Wei Wu, Weiran Xu:
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER. CoRR abs/2203.03903 (2022) - [i27]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu:
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. CoRR abs/2204.04362 (2022) - [i26]Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang:
A Robust Contrastive Alignment Method For Multi-Domain Text Classification. CoRR abs/2204.12125 (2022) - [i25]Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. CoRR abs/2208.11508 (2022) - [i24]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR abs/2209.06030 (2022) - [i23]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu:
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. CoRR abs/2209.06612 (2022) - [i22]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu:
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. CoRR abs/2210.08830 (2022) - [i21]Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu:
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR abs/2210.08873 (2022) - [i20]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR abs/2210.08909 (2022) - [i19]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR abs/2210.10722 (2022) - 2021
- [j21]Keqing He, Yuanmeng Yan, Weiran Xu:
From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge. Neurocomputing 445: 267-275 (2021) - [j20]Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo:
Utilizing graph neural networks to improving dialogue-based relation extraction. Neurocomputing 456: 299-311 (2021) - [c93]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu:
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. ACL/IJCNLP (2) 2021: 870-878 - [c92]Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou:
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. ACL/IJCNLP (Findings) 2021: 1091-1102 - [c91]Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu:
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. ACL/IJCNLP (1) 2021: 3484-3494 - [c90]Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu:
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. ACL/IJCNLP (1) 2021: 5065-5075 - [c89]Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu:
A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization. EMNLP (Findings) 2021: 1354-1364 - [c88]Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo:
Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization. EMNLP (Findings) 2021: 2435-2446 - [c87]Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu:
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models. EMNLP (1) 2021: 3653-3660 - [c86]Zhiyuan Zeng, Jiaze Chen, Weiran Xu, Lei Li:
Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization. EMNLP (1) 2021: 4102-4108 - [c85]Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu:
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. EMNLP (1) 2021: 9474-9480 - [c84]Zhiyuan Zeng, Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu:
Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection. ICASSP 2021: 7658-7662 - [c83]Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu:
Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization. ICASSP 2021: 7823-7827 - [c82]Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu:
Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. IJCNN 2021: 1-7 - [c81]Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu:
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack. NAACL-HLT 2021: 3740-3750 - [c80]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu:
Adversarial Self-Supervised Learning for Out-of-Domain Detection. NAACL-HLT 2021: 5631-5639 - [i18]Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu:
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. CoRR abs/2105.11741 (2021) - [i17]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu:
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. CoRR abs/2105.14289 (2021) - [i16]Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu:
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. CoRR abs/2105.14313 (2021) - [i15]Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu:
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. CoRR abs/2110.03572 (2021) - [i14]Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng:
TODSum: Task-Oriented Dialogue Summarization with State Tracking. CoRR abs/2110.12680 (2021) - 2020
- [j19]Keqing He, Weiran Xu, Yuanmeng Yan:
Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding. IEEE Access 8: 29407-29416 (2020) - [j18]Weiran Xu, Chenliang Li, Minghao Lee, Chi Zhang:
Multi-task learning for abstractive text summarization with key information guide network. EURASIP J. Adv. Signal Process. 2020(1): 16 (2020) - [j17]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo:
Salient context-based semantic matching for information retrieval. EURASIP J. Adv. Signal Process. 2020(1): 33 (2020) - [j16]Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo:
Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures. Knowl. Based Syst. 207: 106266 (2020) - [j15]Max Aker, Konrad Altenmüller, Armen Beglarian, Jan Behrens, Anatoly Berlev, Uwe Besserer, Benedikt Bieringer, Klaus Blaum, Fabian Block, Beate Bornschein, Lutz Bornschein, Matthias Böttcher, Tim Brunst, Thomas C. Caldwell, Suren Chilingaryan, Wonqook Choi, Deseada D. Díaz Barrero, Karol Debowski, Marco Deffert, Martin Descher, Peter J. Doe, Otokar Dragoun, Guido Drexlin, Stephan Dyba, Frank Edzards, Klaus Eitel, Enrico Ellinger, Ralph Engel, Sanshiro Enomoto, Mariia Fedkevych, Arne Felden, Joseph F. Formaggio, Florian Fränkle, Gregg B. Franklin, Fabian Friedel, Alexander Fulst, Kevin Gauda, Woosik Gil, Ferenc Glück, Robin Größle, Rainer Gumbsheimer, Volker Hannen, Norman Haußmann, Klaus Helbing, Stephanie Hickford, Roman Hiller, David Hillesheimer, Dominic Hinz, Thomas Höhn, Thibaut Houdy, Anton Huber, Alexander Jansen, Christian Karl, Jonas Kellerer, Luke Kippenbrock, Manuel Klein, Christoph Köhler, Leonard Köllenberger, Andreas Kopmann, Marc Korzeczek, Alojz Kovalík, Bennet Krasch, Holger Krause, Luisa La Cascio, Thierry Lasserre, Thanh-Long Le, Ondrej Lebeda, Bjoern Lehnert, Alexey Lokhov, Moritz Machatschek, Emma Malcherek, Alexander Marsteller, Eric L. Martin, Matthias Meier, Christin Melzer, Susanne Mertens, Klaus Müller, Simon Niemes, Patrick Oelpmann, Alexander Osipowicz, Diana S. Parno, Alan W. P. Poon, Jose M. Lopez Poyato, Florian Priester, Oliver Rest, Marco Röllig, Carsten Röttele, R. G. Hamish Robertson, Caroline Rodenbeck, Milos Rysavy, Rudolf Sack, Alejandro Saenz, Peter Schäfer, Anna Schaller (née Pollithy), Lutz Schimpf, Klaus Schlösser, Magnus Schlösser, Lisa Schlüter, Michael Schrank, Bruno Schulz, Michal Sefcík, Hendrik Seitz-Moskaliuk, Valérian Sibille, Daniel Siegmann, Martin Slezák, Felix Spanier, Markus Steidl, Michael Sturm, Menglei Sun, Helmut H. Telle, Larisa A. Thorne, Thomas Thümmler, Nikita Titov, Igor Tkachev, Drahos Vénos, Kathrin Valerius, Ana P. Vizcaya Hernández, Marc Weber, Christian Weinheimer, Christiane Weiss, Stefan Welte, Jürgen Wendel, John F. Wilkerson, Joachim Wolf, Sascha Wüstling, Weiran Xu, Yung-Ruey Yen, Sergey Zadoroghny, Genrich Zeller:
Quantitative Long-Term Monitoring of the Circulating Gases in the KATRIN Experiment Using Raman Spectroscopy. Sensors 20(17): 4827 (2020) - [c79]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. AAAI 2020: 8673-8680 - [c78]Keqing He, Yuanmeng Yan, Weiran Xu:
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. ACL 2020: 619-624 - [c77]Yuanyuan Qi, Jiayue Zhang, Yansong Liu, Weiran Xu, Jun Guo:
CGTR: Convolution Graph Topology Representation for Document Ranking. CIKM 2020: 2173-2176 - [c76]Lulu Zhao, Weiran Xu, Jun Guo:
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words. COLING 2020: 437-449 - [c75]Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu:
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space. COLING 2020: 1452-1460 - [c74]Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou:
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. COLING 2020: 1461-1467 - [c73]