Hi, I am Jiacheng Xu (徐嘉诚 in Chinese), a fourth-year Ph.D. student in the
Department of Computer Science at the University of
My adviser is Prof. Greg Durrett.
My research interest focuses on Natural Language Processing and Machine Learning.
More specifically, I work on text summarization and generation.
Before I came to UT Austin, I obtained my bachelor degree from
University in 2017.
From 2015 to 2017, I was a member of FudanNLP, advised by Prof.
Xipeng Qiu. Check out the amazing Text
Analysis, Understanding and Reasoning Group
(TAUR) and the Machine
Learning Group at UT Austin.
Google Scholar Twitter
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
Jiacheng Xu, and Greg Durrett, ACL 2021.
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
Aditya Gupta, Jiacheng Xu, Shyam Upadhyay, Diyi Yang and Manaal Faruqui, Findings of ACL 2021.
Understanding Neural Abstractive
Summarization Models via Uncertainty
Jiacheng Xu, Shrey Desai, and Greg Durrett, EMNLP 2020 (short).
Compressive Summarization with Plausibility
and Salience Modeling
Shrey Desai, Jiacheng Xu, and Greg Durrett, EMNLP 2020.
Discourse-Aware Neural Extractive Model for
Jiacheng Xu, Zhe Gan, Yu Cheng and Jingjing Liu, ACL 2020.
Neural Extractive Text Summarization with
Jiacheng Xu and Greg Durrett, EMNLP 2019.
Spherical Latent Spaces for Stable
Jiacheng Xu and Greg Durrett, EMNLP 2018.
Incorporating Discriminator in Sentence
Generation: A Gibbs Sampling Method
Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang, AAAI 2018.
Knowledge Graph Representation
with Jointly Structural and Textual Encoding
Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang, IJCAi 2017.
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
Jiacheng Xu, Danlu Chen, Xipeng
Qiu, Xuanjing Huang, EMNLP 2016.
Reviewer: AAAI (20,21), ACL (20, 21), COLING (20), EMNLP (19, 21), NAACL (19, 21), NeurIPS (20, 21), ICML (21); JAIR (20, 21)