Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification. - Jiacheng Xu 001; Danlu Chen; Xipeng Qiu; Xuanjing Huang 001 (EMNLP, 2016)

Knowledge Graph Representation with Jointly Structural and Textual Encoding. - Jiacheng Xu 001; Xipeng Qiu; Kan Chen; Xuanjing Huang 001 (IJCAI, 2017)

Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method. - Jinyue Su; Jiacheng Xu 001; Xipeng Qiu; Xuanjing Huang 001 (AAAI, 2018)

Spherical Latent Spaces for Stable Variational Autoencoders. - Jiacheng Xu 001; Greg Durrett (EMNLP, 2018)

Neural Extractive Text Summarization with Syntactic Compression. - Jiacheng Xu 001; Greg Durrett (EMNLP/IJCNLP (1), 2019)

Compressive Summarization with Plausibility and Salience Modeling. - Shrey Desai; Jiacheng Xu 001; Greg Durrett (EMNLP (1), 2020)

Understanding Neural Abstractive Summarization Models via Uncertainty. - Jiacheng Xu 001; Shrey Desai; Greg Durrett (EMNLP (1), 2020)

Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. - Jiacheng Xu 001; Greg Durrett (ACL/IJCNLP (1), 2021)

Aspect-Oriented Summarization through Query-Focused Extraction. - Ojas Ahuja; Jiacheng Xu 001; Akshay Gupta; Kevin Horecka; Greg Durrett (CoRR, 2021)

Massive-scale Decoding for Text Generation using Lattices. - Jiacheng Xu 001; Greg Durrett (CoRR, 2021)

ASPECTNEWS: Aspect-Oriented Summarization of News Documents. - Ojas Ahuja; Jiacheng Xu 001; Akshay Gupta; Kevin Horecka; Greg Durrett (ACL (1), 2022)

Training Dynamics for Text Summarization Models. - Tanya Goyal; Jiacheng Xu 001; Junyi Jessy Li; Greg Durrett (ACL (Findings), 2022)

Massive-scale Decoding for Text Generation using Lattices. - Jiacheng Xu 001; Siddhartha Jonnalagadda; Greg Durrett (NAACL-HLT, 2022)

EEL: Efficiently Encoding Lattices for Reranking. - Prasann Singhal; Jiacheng Xu 001; Xi Ye; Greg Durrett (ACL (1), 2023)

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. - Liyan Tang; Tanya Goyal; Alexander R. Fabbri; Philippe Laban; Jiacheng Xu 001; Semih Yavuz; Wojciech Kryscinski; Justin F. Rousseau; Greg Durrett (ACL (1), 2023)

Best-k Search Algorithm for Neural Text Generation. - Jiacheng Xu 001; Caiming Xiong; Silvio Savarese; Yingbo Zhou (ACL (1), 2023)

A Long Way to Go: Investigating Length Correlations in RLHF. - Prasann Singhal; Tanya Goyal; Jiacheng Xu 001; Greg Durrett (CoRR, 2023)

Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models. - Lifu Tu; Semih Yavuz; Jin Qu; Jiacheng Xu 001; Rui Meng; Caiming Xiong; Yingbo Zhou (CoRR, 2023)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh Murthy; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (CoRR, 2024)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh R. N.; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (ICLR, 2025)

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation. - Bo Pang 004; Hanze Dong; Jiacheng Xu 001; Silvio Savarese; Yingbo Zhou; Caiming Xiong (CoRR, 2025)

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification. - Jiacheng Xu 001; Bo Pang 004; Jin Qu; Hiroaki Hayashi; Caiming Xiong; Yingbo Zhou (CoRR, 2025)