Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. - Keqing He 001; Yuanmeng Yan; Weiran Xu (ACL, 2020)

Syntactic Graph Convolutional Network for Spoken Language Understanding. - Keqing He 001; Shuyu Lei; Yushu Yang; Huixing Jiang; Zhongyuan Wang (COLING, 2020)

Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. - Keqing He 001; Jinchao Zhang 001; Yuanmeng Yan; Weiran Xu; Cheng Niu; Jie Zhou 016 (COLING, 2020)

A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space. - Hong Xu 009; Keqing He 001; Yuanmeng Yan; Sihong Liu; Zijun Liu; Weiran Xu (COLING, 2020)

Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots. - Yuanmeng Yan; Keqing He 001; Hong Xu 009; Sihong Liu; Fanyu Meng; Min Hu; Weiran Xu (EMNLP (1), 2020)

Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. - Keqing He 001; Yuanmeng Yan; Weiran Xu (IJCNN, 2020)

Learning Label-Relational Output Structure for Adaptive Sequence Labeling. - Keqing He 001; Yuanmeng Yan; Hong Xu 009; Sihong Liu; Zijun Liu; Weiran Xu (IJCNN, 2020)

Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding. - Keqing He 001; Weiran Xu; Yuanmeng Yan (IEEE Access, 2020)

Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. - Sihong Liu; Jinchao Zhang 001; Keqing He 001; Weiran Xu; Jie Zhou 016 (ACL/IJCNLP (Findings), 2021)

Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. - Yanan Wu; Zhiyuan Zeng 002; Keqing He 001; Hong Xu 009; Yuanmeng Yan; Huixing Jiang; Weiran Xu (ACL/IJCNLP (1), 2021)

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. - Zhiyuan Zeng 002; Keqing He 001; Yuanmeng Yan; Zijun Liu; Yanan Wu; Hong Xu 009; Huixing Jiang; Weiran Xu (ACL/IJCNLP (2), 2021)

A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization. - Yuejie Lei; Fujia Zheng; Yuanmeng Yan; Keqing He 001; Weiran Xu (EMNLP (Findings), 2021)

Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. - Liwen Wang; Xuefeng Li 002; Jiachi Liu; Keqing He 001; Yuanmeng Yan; Weiran Xu (EMNLP (1), 2021)

Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization. - Yuejie Lei; Yuanmeng Yan; Zhiyuan Zeng 002; Keqing He 001; Ximing Zhang; Weiran Xu (ICASSP, 2021)

Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection. - Zhiyuan Zeng 002; Hong Xu 009; Keqing He 001; Yuanmeng Yan; Sihong Liu; Zijun Liu; Weiran Xu (ICASSP, 2021)

Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. - Zijun Liu; Yuanmeng Yan; Keqing He 001; Sihong Liu; Hong Xu 009; Weiran Xu (IJCNN, 2021)

Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack. - Liwen Wang; Yuanmeng Yan; Keqing He 001; Yanan Wu; Weiran Xu (NAACL-HLT, 2021)

Adversarial Self-Supervised Learning for Out-of-Domain Detection. - Zhiyuan Zeng 002; Keqing He 001; Yuanmeng Yan; Hong Xu 009; Weiran Xu (NAACL-HLT, 2021)

TODSum: Task-Oriented Dialogue Summarization with State Tracking. - Lulu Zhao; Fujia Zheng; Keqing He 001; Weihao Zeng; Yuejie Lei; Huixing Jiang; Wei Wu 014; Weiran Xu; Jun Guo 002; Fanyu Meng (CoRR, 2021)

From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge. - Keqing He 001; Yuanmeng Yan; Weiran Xu (Neurocomputing, 2021)

Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. - Yutao Mou; Keqing He 001; Yanan Wu; Zhiyuan Zeng 002; Hong Xu 009; Huixing Jiang; Wei Wu 014; Weiran Xu (ACL (2), 2022)

Unified Knowledge Prompt Pre-training for Customer Service Dialogues. - Keqing He 001; Jingang Wang; Chaobo Sun; Wei Wu 014 (CIKM, 2022)

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. - Guanting Dong; Daichi Guo; Liwen Wang; Xuefeng Li 002; Zechen Wang; Chen Zeng; Keqing He 001; Jinzheng Zhao; Hao Lei; Xinyue Cui; Yi Huang; Junlan Feng; et al. (COLING, 2022)

Generalized Intent Discovery: Learning from Open World Dialogue System. - Yutao Mou; Keqing He 001; Yanan Wu; Pei Wang; Jingang Wang; Wei Wu 014; Yi Huang; Junlan Feng; Weiran Xu (COLING, 2022)

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. - Yanan Wu; Zhiyuan Zeng 002; Keqing He 001; Yutao Mou; Pei Wang; Weiran Xu (COLING, 2022)

Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. - Yutao Mou; Keqing He 001; Pei Wang; Yanan Wu; Jingang Wang; Wei Wu 014; Weiran Xu (EMNLP, 2022)

UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. - Yutao Mou; Pei Wang; Keqing He 001; Yanan Wu; Jingang Wang; Wei Wu 014; Weiran Xu (EMNLP, 2022)

Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. - Yanan Wu; Keqing He 001; Yuanmeng Yan; QiXiang Gao; Zhiyuan Zeng 002; Fujia Zheng; Lulu Zhao; Huixing Jiang; Wei Wu 014; Weiran Xu (NAACL-HLT, 2022)

Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. - Lulu Zhao; Fujia Zheng; Weihao Zeng; Keqing He 001; Weiran Xu; Huixing Jiang; Wei Wu 014; Yanan Wu (NAACL-HLT, 2022)

ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. - Lulu Zhao; Fujia Zheng; Weihao Zeng; Keqing He 001; Ruotong Geng; Huixing Jiang; Wei Wu 014; Weiran Xu (SIGIR, 2022)

Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. - Yanan Wu; Zhiyuan Zeng 002; Keqing He 001; Yutao Mou; Pei Wang; Yuanmeng Yan; Weiran Xu (CoRR, 2022)

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. - Weihao Zeng; Keqing He 001; Zechen Wang; Dayuan Fu; Guanting Dong; Ruotong Geng; Pei Wang; Jingang Wang; Chaobo Sun; Wei Wu 014; Weiran Xu (CoRR, 2022)

Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. - Xuefeng Li 002; Liwen Wang; Guanting Dong; Keqing He 001; Jinzheng Zhao; Hao Lei; Jiachi Liu; Weiran Xu (ACL (Findings), 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)

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)

Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. - Weihao Zeng; Lulu Zhao; Keqing He 001; Ruotong Geng; Jingang Wang; Wei Wu 014; Weiran Xu (ACL (1), 2023)

A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. - Guanting Dong; Zechen Wang; Jinxu Zhao; Gang Zhao; Daichi Guo; Dayuan Fu; Tingfeng Hui; Chen Zeng; Keqing He 001; Xuefeng Li 002; Liwen Wang; Xinyue Cui; et al. (CIKM, 2023)

DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. - Guanting Dong; Tingfeng Hui; Zhuoma Gongque; Jinxu Zhao; Daichi Guo; Gang Zhao; Keqing He 001; Weiran Xu (EMNLP (Findings), 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)

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. - Xiaoshuai Song; Yutao Mou; Keqing He 001; Yueyan Qiu; Jinxu Zhao; Pei Wang; Weiran Xu (EMNLP (Findings), 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)

A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. - Guanting Dong; Zechen Wang; Liwen Wang; Daichi Guo; Dayuan Fu; Yuxiang Wu; Chen Zeng; Xuefeng Li 002; Tingfeng Hui; Keqing He 001; Xinyue Cui; QiXiang Gao; et al. (ICASSP, 2023)

Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. - Daichi Guo; Guanting Dong; Dayuan Fu; Yuxiang Wu; Chen Zeng; Tingfeng Hui; Liwen Wang; Xuefeng Li 002; Zechen Wang; Keqing He 001; Xinyue Cui; Weiran Xu (ICASSP, 2023)

Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. - Guanting Dong; Jinxu Zhao; Tingfeng Hui; Daichi Guo; Wenlong Wang; Boqi Feng; Yueyan Qiu; Zhuoma Gongque; Keqing He 001; Zechen Wang; Weiran Xu (NLPCC (1), 2023)

Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. - Daichi Guo; Guanting Dong; Dayuan Fu; Yuxiang Wu; Chen Zeng; Tingfeng Hui; Liwen Wang; Xuefeng Li 002; Zechen Wang; Keqing He 001; Xinyue Cui; Weiran Xu (CoRR, 2023)

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. - Shicheng Tan; Weng Lam Tam; Yuanchun Wang; Wenwen Gong; Yang Yang 009; Hongyin Tang; Keqing He 001; Jiahao Liu; Jingang Wang; Shu Zhao; Peng Zhang 077; Jie Tang 001 (CoRR, 2023)

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. - Jiachi Liu; Liwen Wang; Guanting Dong; Xiaoshuai Song; Zechen Wang; Zhengyang Wang; Shanglin Lei; Jinzheng Zhao; Keqing He 001; Bo Xiao; Weiran Xu (CoRR, 2023)

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. - Xiaoshuai Song; Yutao Mou; Keqing He 001; Yueyan Qiu; Pei Wang; Weiran Xu (CoRR, 2023)

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. - Yejie Wang; Keqing He 001; Guanting Dong; Pei Wang; Weihao Zeng; Muxi Diao; Weiran Xu; Jingang Wang; Mengdi Zhang 002; Xunliang Cai (ACL (1), 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)

BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. - Weihao Zeng; Keqing He 001; Yejie Wang; Dayuan Fu; Weiran Xu (LREC/COLING, 2024)

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. - Yejie Wang; Keqing He 001; Dayuan Fu; Zhuoma Gongque; Heyang Xu; Yanxu Chen; Zhexu Wang; Yujia Fu; Guanting Dong; Muxi Diao; Jingang Wang; Mengdi Zhang 002; et al. (EMNLP, 2024)

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. - Siqi Wang; Zhengyu Chen 001; Bei Li; Keqing He 001; Min Zhang 005; Jingang Wang (EMNLP, 2024)

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning. - Wei Liu 131; Weihao Zeng; Keqing He 001; Yong Jiang 001; Junxian He (ICLR, 2024)

DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. - Weihao Zeng; Dayuan Fu; Keqing He 001; Yejie Wang; Yukai Xu; Weiran Xu (NAACL-HLT (Findings), 2024)

Knowledge Editing on Black-box Large Language Models. - Xiaoshuai Song; Zhengyang Wang; Keqing He 001; Guanting Dong; Yutao Mou; Jinxu Zhao; Weiran Xu (CoRR, 2024)

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. - Yejie Wang; Keqing He 001; Guanting Dong; Pei Wang; Weihao Zeng; Muxi Diao; Yutao Mou; Mengdi Zhang 002; Jingang Wang; Xunliang Cai; Weiran Xu (CoRR, 2024)

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. - Pei Wang; Yejie Wang; Muxi Diao; Keqing He 001; Guanting Dong; Weiran Xu (CoRR, 2024)

PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. - Dayuan Fu; Jianzhao Huang; Siyuan Lu; Guanting Dong; Yejie Wang; Keqing He 001; Weiran Xu (CoRR, 2024)

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. - Yejie Wang; Keqing He 001; Dayuan Fu; Zhuoma Gongque; Heyang Xu; Yanxu Chen; Zhexu Wang; Yujia Fu; Guanting Dong; Muxi Diao; Jingang Wang; Mengdi Zhang 002; et al. (CoRR, 2024)

PreAct: Prediction Enhances Agent's Planning Ability. - Dayuan Fu; Jianzhao Huang; Siyuan Lu; Guanting Dong; Yejie Wang; Keqing He 001; Weiran Xu (COLING, 2025)

AgentRefine: Enhancing Agent Generalization through Refinement Tuning. - Dayuan Fu; Keqing He 001; Yejie Wang; Wentao Hong; Zhuoma Gongque; Weihao Zeng; Wei Wang; Jingang Wang; Xunliang Cai; Weiran Xu (ICLR, 2025)

Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing. - Xiaoshuai Song; Zhengyang Wang; Keqing He 001; Guanting Dong; Yutao Mou; Jinxu Zhao; Weiran Xu (WWW, 2025)

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild. - Weihao Zeng; Yuzhen Huang; Qian Liu 012; Wei Liu 131; Keqing He 001; Zejun Ma; Junxian He (CoRR, 2025)