Jiacheng Xu

According to our database, Jiacheng Xu authored at least 17 papers between 2016 and 2023.

Collaborative distances:

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

2023

Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models.

Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou

CoRR, 2023

A Long Way to Go: Investigating Length Correlations in RLHF.

Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett

CoRR, 2023

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.

Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

EEL: Efficiently Encoding Lattices for Reranking.

Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Massive-scale Decoding for Text Generation using Lattices.

Jiacheng Xu, Siddhartha Jonnalagadda, Greg Durrett

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

Training Dynamics for Text Summarization Models.

Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

ASPECTNEWS: Aspect-Oriented Summarization of News Documents.

Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Massive-scale Decoding for Text Generation using Lattices.

Jiacheng Xu, Greg Durrett

CoRR, 2021

Aspect-Oriented Summarization through Query-Focused Extraction.

Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett

CoRR, 2021

Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution.

Jiacheng Xu, Greg Durrett

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

2020

Understanding Neural Abstractive Summarization Models via Uncertainty.

Jiacheng Xu, Shrey Desai, Greg Durrett

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

Compressive Summarization with Plausibility and Salience Modeling.

Shrey Desai, Jiacheng Xu, Greg Durrett

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

2019

Neural Extractive Text Summarization with Syntactic Compression.

Jiacheng Xu, Greg Durrett

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Spherical Latent Spaces for Stable Variational Autoencoders.

Jiacheng Xu, Greg Durrett

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method.

Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Knowledge Graph Representation with Jointly Structural and Textual Encoding.

Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification.

Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016