Jiacheng Xu

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All published works

Action	Title	Year	Authors
+ PDF Chat	SYKI-SVC: Advancing Singing Voice Conversion with Post-Processing Innovations and an Open-Source Professional Testset	2025	Yiquan Zhou Wenyu Wang Hongwu Ding Jiacheng Xu Jihua Zhu Xin Gao Shihao Li
+ PDF Chat	FGCL: Fine-Grained Contrastive Learning For Mandarin Stuttering Event Detection	2024	Han Jiang Wenyu Wang Yiquan Zhou Hongwu Ding Jiacheng Xu Jihua Zhu
+ PDF Chat	FGCL: Fine-grained Contrastive Learning For Mandarin Stuttering Event Detection	2024	Han Jiang Wenyu Wang Yiquan Zhou Hongwu Ding Jiacheng Xu Jihua Zhu
+	Language Model Self-improvement by Reinforcement Learning Contemplation	2023	Jing-Cheng Pang Pengyuan Wang Kaiyuan Li Xionghui Chen Jiacheng Xu Zongzhang Zhang Yang Yu
+	EEL: Efficiently Encoding Lattices for Reranking	2023	Prasann Singhal Jiacheng Xu Xi Ye Greg Durrett
+	Best-k Search Algorithm for Neural Text Generation	2023	Jiacheng Xu Caiming Xiong Silvio Savarese Yingbo Zhou
+	EEL: Efficiently Encoding Lattices for Reranking	2023	Prasann Singhal Jiacheng Xu Xi Ye Greg Durrett
+	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors	2023	Liyan Tang Tanya Goyal Alex Fabbri Philippe Laban Jiacheng Xu Semih Yavuz Wojciech Kryściński Justin F. Rousseau Greg Durrett
+	A Long Way to Go: Investigating Length Correlations in RLHF	2023	Prasann Singhal Tanya Goyal Jiacheng Xu Greg Durrett
+	Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models	2023	Lifu Tu Semih Yavuz Qu Jin Jiacheng Xu Rui Meng Caiming Xiong Yingbo Zhou
+ PDF Chat	Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors	2022	Wilson Tam Jiacheng Xu Jiakai Zou Zecheng Wang Tinglong Liao Shuhan Yuan
+ PDF Chat	Training Dynamics for Text Summarization Models	2022	Tanya Goyal Jiacheng Xu Junyi Jessy Li Greg Durrett
+	Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models	2022	Aarohi Srivastava Abhinav Rastogi Abhishek S. Rao Abu Awal Shoeb Abubakar Abid Adam Fisch Adam R. Brown Adam Santoro Aditya Gupta Adrià Garriga-Alonso
+	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors	2022	Liyan Tang Tanya Goyal Alexander R. Fabbri Philippe Laban Jiacheng Xu Semih Yahvuz Wojciech Kryściński Justin F. Rousseau Greg Durrett
+ PDF Chat	ASPECTNEWS: Aspect-Oriented Summarization of News Documents	2022	Ojas Ahuja Jiacheng Xu Akshay Gupta Kevin Horecka Greg Durrett
+ PDF Chat	Massive-scale Decoding for Text Generation using Lattices	2022	Jiacheng Xu Siddhartha Jonnalagadda Greg Durrett
+	Neural Architecture Search on Efficient Transformers and Beyond	2022	Zexiang Liu Dong Li Kaiyue Lu Zhen Qin Weixuan Sun Jiacheng Xu Yiran Zhong
+	Best-$k$ Search Algorithm for Neural Text Generation	2022	Jiacheng Xu Caiming Xiong Silvio Savarese Yingbo Zhou
+	Aspect-Oriented Summarization through Query-Focused Extraction.	2021	Ojas Ahuja Jiacheng Xu Akshay Gupta Kevin Horecka Greg Durrett
+	Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering	2021	Aditya Gupta Jiacheng Xu Shyam Upadhyay Diyi Yang Manaal Faruqui
+	Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution	2021	Jiacheng Xu Greg Durrett
+	Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering	2021	Aditya Gupta Jiacheng Xu Shyam Upadhyay Diyi Yang Manaal Faruqui
+	Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution	2021	Jiacheng Xu Greg Durrett
+	Massive-scale Decoding for Text Generation using Lattices	2021	Jiacheng Xu Greg Durrett
+	Training Dynamics for Text Summarization Models	2021	Tanya Goyal Jiacheng Xu Junyi Jessy Li Greg Durrett
+	ASPECTNEWS: Aspect-Oriented Summarization of News Documents	2021	Ojas Ahuja Jiacheng Xu Akshay Gupta Kevin Horecka Greg Durrett
+	Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering	2021	Aditya Gupta Jiacheng Xu Shyam Upadhyay Diyi Yang Manaal Faruqui
+	Compressive Summarization with Plausibility and Salience Modeling	2020	Shrey Desai Jiacheng Xu Greg Durrett
+	Discourse-Aware Neural Extractive Text Summarization	2020	Jiacheng Xu Zhe Gan Yu Cheng Jun Liu
+	Understanding Neural Abstractive Summarization Models via Uncertainty	2020	Jiacheng Xu Shrey Desai Greg Durrett
+	Understanding Neural Abstractive Summarization Models via Uncertainty	2020	Jiacheng Xu Shrey Desai Greg Durrett
+	Compressive Summarization with Plausibility and Salience Modeling	2020	Shrey Desai Jiacheng Xu Greg Durrett
+	Compressive Summarization with Plausibility and Salience Modeling	2020	Shrey Desai Jiacheng Xu Greg Durrett
+	Neural Extractive Text Summarization with Syntactic Compression	2019	Jiacheng Xu Greg Durrett
+	Neural Extractive Text Summarization with Syntactic Compression	2019	Jiacheng Xu Greg Durrett
+	Discourse-Aware Neural Extractive Text Summarization	2019	Jiacheng Xu Zhe Gan Yu Cheng Jun Liu
+ PDF Chat	Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method	2018	Jinyue Su Jiacheng Xu Xipeng Qiu Xuanjing Huang
+	Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method	2018	Jinyue Su Jiacheng Xu Xipeng Qiu Xuanjing Huang
+	Spherical Latent Spaces for Stable Variational Autoencoders	2018	Jiacheng Xu Greg Durrett
+ PDF Chat	Spherical Latent Spaces for Stable Variational Autoencoders	2018	Jiacheng Xu Greg Durrett
+	Knowledge Graph Representation with Jointly Structural and Textual Encoding	2017	Jiacheng Xu Xipeng Qiu Kan Chen Xuanjing Huang
+ PDF Chat	Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification	2016	Jiacheng Xu Danlu Chen Xipeng Qiu Xuanjing Huang
+	Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification	2016	Jiacheng Xu Danlu Chen Xipeng Qiu Xuangjing Huang
+	Knowledge Graph Representation with Jointly Structural and Textual Encoding	2016	Jiacheng Xu Kan Chen Xipeng Qiu Xuanjing Huang

Common Coauthors

Coauthor	Papers Together
Greg Durrett	23
Xipeng Qiu	6
Tanya Goyal	5
Shrey Desai	5
Shyam Upadhyay	4
Diyi Yang	4
Xuanjing Huang	4
Manaal Faruqui	4
Akshay Gupta	3
Yingbo Zhou	3
Hongwu Ding	3
Prasann Singhal	3
Ojas Ahuja	3
Caiming Xiong	3
Kevin Horecka	3
Xi Ye	2
Yiquan Zhou	2
Aditya Gupta	2
Jihua Zhu	2
Jun Liu	2
Danlu Chen	2
Kan Chen	2
Zhe Gan	2
Wojciech Kryściński	2
Philippe Laban	2
Silvio Savarese	2
Yu Cheng	2
Aditya Gupta	2
Junyi Jessy Li	2
Jinyue Su	2
Justin F. Rousseau	2
Semih Yavuz	2
Wenyu Wang	2
Lidia Contreras-Ochando	1
Jacob Hilton	1
Rabin Banjade	1
Wout Vossen	1
Lucy Noble	1
Zhuoye Zhao	1
Asher Mullokandov	1
Deep Ganguli	1
Jeroen Taal	1
Peter Chang	1
Cedrick Argueta	1
Trenton Chang	1
Robbe Raymaekers	1
Michihiro Yasunaga	1
Eric Tang	1
Sajant Anand	1
Mihir Kale	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization	2018	Shashi Narayan Shay B. Cohen Mirella Lapata	13
+ PDF Chat	Get To The Point: Summarization with Pointer-Generator Networks	2017	Abigail See Peter J. Liu Christopher D. Manning	12
+	Teaching Machines to Read and Comprehend	2015	Karl Moritz Hermann Tomáš Kočiský Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman Phil Blunsom	11
+ PDF Chat	Evaluating the Factual Consistency of Abstractive Text Summarization	2020	Wojciech Kryściński Bryan McCann Caiming Xiong Richard Socher	10
+	Text Summarization with Pretrained Encoders	2019	Yang Liu Mirella Lapata	9
+	Evaluating Factuality in Generation with Dependency-level Entailment	2020	Tanya Goyal Greg Durrett	8
+ PDF Chat	Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints	2016	Greg Durrett Taylor Berg-Kirkpatrick Dan Klein	8
+	Teaching Machines to Read and Comprehend	2015	Karl Moritz Hermann Tomáš Kočiský Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman Phil Blunsom	8
+ PDF Chat	Bottom-Up Abstractive Summarization	2018	Sebastian Gehrmann Yuntian Deng Alexander M. Rush	8
+	BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension	2020	Mike Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdelrahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer	8
+	On Faithfulness and Factuality in Abstractive Summarization	2020	Joshua Maynez Shashi Narayan Bernd Bohnet Ryan McDonald	7
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	6
+	Neural Extractive Text Summarization with Syntactic Compression	2019	Jiacheng Xu Greg Durrett	6
+	PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization	2019	Jingqing Zhang Yao Zhao Mohammad Saleh Peter J. Liu	6
+	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	2019	Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu	6
+ PDF Chat	Neural Latent Extractive Document Summarization	2018	Xingxing Zhang Mirella Lapata Furu Wei Ming Zhou	6
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	6
+	A Deep Reinforced Model for Abstractive Summarization	2017	Romain Paulus Caiming Xiong Richard Socher	6
+	The Curious Case of Neural Text Degeneration	2019	Ari Holtzman Jan Buys Li Du Maxwell Forbes Yejin Choi	5
+ PDF Chat	Annotating and Modeling Fine-grained Factuality in Summarization	2021	Tanya Goyal Greg Durrett	5
+ PDF Chat	Neural Document Summarization by Jointly Learning to Score and Select Sentences	2018	Qingyu Zhou Nan Yang Furu Wei Shaohan Huang Ming Zhou Tiejun Zhao	5
+	SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents	2016	Ramesh Nallapati Feifei Zhai Bowen Zhou	5
+ PDF Chat	Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting	2018	Yen-Chun Chen Mohit Bansal	5
+	Asking and Answering Questions to Evaluate the Factual Consistency of Summaries	2020	Alex Wang Kyunghyun Cho Mike Lewis	5
+	FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization	2020	Esin Durmus He He Mona Diab	5
+	BERTScore: Evaluating Text Generation with BERT	2019	Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi	4
+ PDF Chat	Neural Summarization by Extracting Sentences and Words	2016	Jianpeng Cheng Mirella Lapata	4
+	HuggingFace's Transformers: State-of-the-art Natural Language Processing	2019	Thomas Wolf Lysandre Debut Victor Sanh Julien Chaumond Clément Delangue Anthony Moi Pierric Cistac Tim Rault Rémi Louf Morgan Funtowicz	4
+	BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.	2019	Mike Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdelrahman Mohamed Omer Levy Ves Stoyanov Luke Zettlemoyer	4
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	4
+	Neural Text Summarization: A Critical Evaluation	2019	Wojciech Kryściński Nitish Shirish Keskar Bryan McCann Caiming Xiong Richard Socher	4
+ PDF Chat	BanditSum: Extractive Summarization as a Contextual Bandit	2018	Yue Dong Yikang Shen Eric Crawford Herke van Hoof Jackie Chi Kit Cheung	4
+	A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization	2013	Lu Wang Hema Raghavan Vittorio Castelli Radu Florian Claire Cardie	4
+ PDF Chat	Content Selection in Deep Learning Models of Summarization	2018	Chris Kedzie Kathleen McKeown Hal Daumé	4
+	RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models	2020	Samuel Gehman Suchin Gururangan Maarten Sap Yejin Choi Noah A. Smith	4
+ PDF Chat	A Diversity-Promoting Objective Function for Neural Conversation Models	2016	Jiwei Li Michel Galley Chris Brockett Jianfeng Gao Bill Dolan	4
+ PDF Chat	Jointly Extracting and Compressing Documents with Summary State Representations	2019	Afonso Mendes Shashi Narayan Sebastião Miranda Zita Marinho André F. T. Martins Shay B. Cohen	4
+	Searching for Effective Neural Extractive Summarization: What Works and What’s Next	2019	Ming Zhong Pengfei Liu Danqing Wang Xipeng Qiu Xuanjing Huang	4
+	Ranking Sentences for Extractive Summarization with Reinforcement Learning	2018	Shashi Narayan Shay B. Cohen Mirella Lapata	4
+ PDF Chat	A Neural Attention Model for Abstractive Sentence Summarization	2015	Alexander M. Rush Sumit Chopra Jason Weston	4
+ PDF Chat	Constituency Parsing with a Self-Attentive Encoder	2018	Nikita Kitaev Dan Klein	4
+	Discourse-Aware Neural Extractive Text Summarization	2020	Jiacheng Xu Zhe Gan Yu Cheng Jun Liu	4
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	4
+ PDF Chat	SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents	2017	Ramesh Nallapati Feifei Zhai Bowen Zhou	4
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	4
+	Faithful to the Original: Fact Aware Neural Abstractive Summarization	2017	Ziqiang Cao Furu Wei Wenjie Li Sujian Li	4
+ PDF Chat	End-to-end Neural Coreference Resolution	2017	Kenton Lee Luheng He Mike Lewis Luke Zettlemoyer	4
+	Calibration of Pre-trained Transformers	2020	Shrey Desai Greg Durrett	4
+	BERTScore: Evaluating Text Generation with BERT	2020	Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi	3
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	3