Jiacheng Xu

35 papers A* 6Journal 19Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation.
CoRR
Bo Pang, Hanze Dong, Jiacheng Xu, Silvio Savarese, Yingbo Zhou, Caiming Xiong
2025 J jnl
CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification.
CoRR
Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou
2025 A* conf
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
ICLR
Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2024 J jnl
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
CoRR
Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2024 A* conf
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding.
EMNLP
Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou
2023 J jnl
A Long Way to Go: Investigating Length Correlations in RLHF.
CoRR
Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett
2023 — conf
Best-k Search Algorithm for Neural Text Generation.
ACL (1)
Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou
2023 — conf
EEL: Efficiently Encoding Lattices for Reranking.
ACL (1)
Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett
2023 J jnl
EEL: Efficiently Encoding Lattices for Reranking.
CoRR
Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett
2023 — conf
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.
ACL (1)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2023 J jnl
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models.
CoRR
Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou
2022 — conf
ASPECTNEWS: Aspect-Oriented Summarization of News Documents.
ACL (1)
Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett
2022 J jnl
Best-k Search Algorithm for Neural Text Generation.
CoRR
Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou
2022 — conf
Massive-scale Decoding for Text Generation using Lattices.
NAACL-HLT
Jiacheng Xu, Siddhartha Jonnalagadda, Greg Durrett
2022 — conf
Training Dynamics for Text Summarization Models.
ACL (Findings)
Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett
2022 J jnl
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.
CoRR
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2021 J jnl
Aspect-Oriented Summarization through Query-Focused Extraction.
CoRR
Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett
2021 — conf
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution.
ACL/IJCNLP (1)
Jiacheng Xu, Greg Durrett
2021 J jnl
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution.
CoRR
Jiacheng Xu, Greg Durrett
2021 J jnl
Massive-scale Decoding for Text Generation using Lattices.
CoRR
Jiacheng Xu, Greg Durrett
2021 J jnl
Training Dynamics for Text Summarization Models.
CoRR
Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett
2020 — conf
Compressive Summarization with Plausibility and Salience Modeling.
EMNLP (1)
Shrey Desai, Jiacheng Xu, Greg Durrett
2020 J jnl
Compressive Summarization with Plausibility and Salience Modeling.
CoRR
Shrey Desai, Jiacheng Xu, Greg Durrett
2020 — conf
Understanding Neural Abstractive Summarization Models via Uncertainty.
EMNLP (1)
Jiacheng Xu, Shrey Desai, Greg Durrett
2020 J jnl
Understanding Neural Abstractive Summarization Models via Uncertainty.
CoRR
Jiacheng Xu, Shrey Desai, Greg Durrett
2019 — conf
Neural Extractive Text Summarization with Syntactic Compression.
EMNLP/IJCNLP (1)
Jiacheng Xu, Greg Durrett
2019 J jnl
Neural Extractive Text Summarization with Syntactic Compression.
CoRR
Jiacheng Xu, Greg Durrett
2018 A* conf
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method.
AAAI
Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang
2018 J jnl
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method.
CoRR
Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang
2018 A* conf
Spherical Latent Spaces for Stable Variational Autoencoders.
EMNLP
Jiacheng Xu, Greg Durrett
2018 J jnl
Spherical Latent Spaces for Stable Variational Autoencoders.
CoRR
Jiacheng Xu, Greg Durrett
2017 A* conf
Knowledge Graph Representation with Jointly Structural and Textual Encoding.
IJCAI
Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang
2016 A* conf
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification.
EMNLP
Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang
2016 J jnl
Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification.
CoRR
Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang
2016 J jnl
Knowledge Graph Representation with Jointly Structural and Textual Encoding.
CoRR
Jiacheng Xu, Kan Chen, Xipeng Qiu, Xuanjing Huang