Keqing He

According to our database, Keqing He authored at least 60 papers between 2020 and 2024.

Collaborative distances:

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

2024

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.

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

CoRR, 2024

PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability.

Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu

CoRR, 2024

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models.

Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu

CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu

CoRR, 2024

Knowledge Editing on Black-box Large Language Models.

Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu

CoRR, 2024

DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations.

Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.

Wei Liu, Weihao Zeng, Keqing He, Yong Jiang, Junxian He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models.

Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses.

Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition.

Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu

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, Bo Xiao, 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, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang

CoRR, 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, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu

CoRR, 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, Zechen Wang, Weiran Xu

Proceedings of the Natural Language Processing and Chinese Computing, 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, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu

Proceedings of the IEEE International Conference on Acoustics, 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, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu

Proceedings of the IEEE International Conference on Acoustics, 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

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition.

Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, 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

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, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu

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

Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation.

Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu

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

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

Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting.

Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu

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

2022

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems.

Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu

CoRR, 2022

Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning.

Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu

CoRR, 2022

ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement.

Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization.

Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold.

Yanan Wu, Keqing He, Yuanmeng Yan, QiXiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning.

Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery.

Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation.

Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generalized Intent Discovery: Learning from Open World Dialogue System.

Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling.

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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Unified Knowledge Prompt Pre-training for Customer Service Dialogues.

Keqing He, Jingang Wang, Chaobo Sun, Wei Wu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning.

Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge.

Keqing He, Yuanmeng Yan, Weiran Xu

Neurocomputing, 2021

TODSum: Task-Oriented Dialogue Summarization with State Tracking.

Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng

CoRR, 2021

Adversarial Self-Supervised Learning for Out-of-Domain Detection.

Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack.

Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection.

Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu

Proceedings of the International Joint Conference on Neural Networks, 2021

Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection.

Zhiyuan Zeng, Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu

Proceedings of the IEEE International Conference on Acoustics, 2021

Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization.

Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu

Proceedings of the IEEE International Conference on Acoustics, 2021

Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling.

Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization.

Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning.

Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System.

Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System.

Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding.

Keqing He, Weiran Xu, Yuanmeng Yan

IEEE Access, 2020

Learning Label-Relational Output Structure for Adaptive Sequence Labeling.

Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages.

Keqing He, Yuanmeng Yan, Weiran Xu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots.

Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space.

Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack.

Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Syntactic Graph Convolutional Network for Spoken Language Understanding.

Keqing He, Shuyu Lei, Yushu Yang, Huixing Jiang, Zhongyuan Wang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge.

Keqing He, Yuanmeng Yan, Weiran Xu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020