Erxin Yu

According to our database, Erxin Yu authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models.

Boyang Xue, Fei Mi, Qi Zhu, Hongru Wang, Rui Wang, Sheng Wang, Erxin Yu, Xuming Hu, Kam-Fai Wong

CoRR, 2024

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference.

Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong

CoRR, 2024

PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction.

Erxin Yu, Jing Li, Chunpu Xu

CoRR, 2024

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference.

Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong

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

PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction.

Erxin Yu, Jing Li, Chunpu Xu

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

RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation.

Erxin Yu, Jing Li, Chunpu Xu

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

2022

Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.

Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables.

Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang

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

2021

IMBENS: Ensemble Class-imbalanced Learning in Python.

Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang

CoRR, 2021

2020

Context and Type Enhanced Representation Learning for Relation Extraction.

Erxin Yu, Yantao Jia, Shang Wang, Fengfu Li, Yi Chang

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning.

Erxin Yu, Yantao Jia, Yuan Tian, Yi Chang

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction.

Erxin Yu, Wenjuan Han, Yuan Tian, Yi Chang

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