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Jun Gao
Jun Gao
HITSZ
Verified email at stu.hit.edu.cn
Title
Cited by
Cited by
Year
Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations
J Gao, Y Liu, H Deng, W Wang, Y Cao, J Du, R Xu
EMNLP'2021 (Findings), 2021
642021
Generating Multiple Diverse Responses for Short-text Conversation
J Gao, W Bi, X Liu, J Li, S Shi
AAAI'2019, 2019
592019
Exploring the Feasibility of ChatGPT for Event Extraction
J Gao, H Zhao, C Yu, R Xu
arXiv preprint arXiv:2303.03836, 2023
542023
A Discrete CVAE for Response Generation on Short-Text Conversation
J Gao, W Bi, X Liu, J Li, G Zhou, S Shi
EMNLP'2019, 2019
522019
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method
Y Liu, W Bi, J Gao, X Liu, J Yao, S Shi
EMNLP'2018, 2018
302018
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction
J Gao, C Yu, W Wang, H Zhao, R Xu
EMNLP'2022 (Findings), 2022
182022
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering
J Gao, W Wang, C Yu, H Zhao, W Ng, R Xu
ACL'2022, 2022
162022
Fine-Grained Sentence Functions for Short-Text Conversation
W Bi, J Gao, X Liu, S Shi
ACL'2019, 2019
142019
Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction
C Lou, J Gao, C Yu, W Wang, H Zhao, W Tu, R Xu
SIGIR'2022, 2022
102022
Interpretable Proof Generation via Iterative Backward Reasoning
H Qu, Y Cao, J Gao, L Ding, R Xu
NAACL'2022, 2022
102022
REAM♯: An enhancement approach to reference-based evaluation metrics for open-domain dialog generation
J Gao, W Bi, R Xu, S Shi
ACL'2021 (Findings), 2021
9*2021
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack
Y Cao, D Li, M Fang, T Zhou, J Gao, Y Zhan, D Tao
EMNLP'2022, 2022
72022
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset
H Deng, Y Zhang, Y Zhang, W Ying, C Yu, J Gao, W Wang, X Bai, N Yang, ...
EMNLP'2022, 2022
5*2022
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning
F Zhu, J Gao, C Yu, W Wang, C Xu, X Mu, M Yang, R Xu
AAAI'2023, 2023
42023
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction
J Gao, H Zhao, Y Zhang, W Wang, C Yu, R Xu
arXiv preprint arXiv:2310.05092, 2023
32023
A Diffusion Model for Event Skeleton Generation
F Zhu, L Zhang, J Gao, B Qin, R Xu, H Yang
ACL'2023 (Findings), 2023
12023
EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models
J Gao, H Zhao, W Wang, C Yu, R Xu
arXiv preprint arXiv:2402.11430, 2024
2024
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models
L Wei, J Gao, H Zhao
arXiv preprint arXiv:2402.11641, 2024
2024
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Articles 1–18