Incorporating Metadata into Content-Based User Embeddings. - Linzi Xing; Michael J. Paul (NUT@EMNLP, 2017)

Exploring Timelines of Confirmed Suicide Incidents Through Social Media. - Xiaolei Huang 002; Linzi Xing; Jed R. Brubaker; Michael J. Paul (ICHI, 2017)

Diagnosing and Improving Topic Models by Analyzing Posterior Variability. - Linzi Xing; Michael J. Paul (AAAI, 2018)

Evaluating Topic Quality with Posterior Variability. - Linzi Xing; Michael J. Paul; Giuseppe Carenini (EMNLP/IJCNLP (1), 2019)

Improving Context Modeling in Neural Topic Segmentation. - Linzi Xing; Brad Hackinen; Giuseppe Carenini; Francesco Trebbi (AACL/IJCNLP, 2020)

Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. - Xiaolei Huang 002; Linzi Xing; Franck Dernoncourt; Michael J. Paul (LREC, 2020)

Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. - Linzi Xing; Wen Xiao; Giuseppe Carenini (ACL/IJCNLP (2), 2021)

Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring. - Linzi Xing; Giuseppe Carenini (SIGDIAL, 2021)

Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation. - Patrick Huber; Linzi Xing; Giuseppe Carenini (AAAI, 2022)

Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation. - Raymond Li; Wen Xiao; Linzi Xing; Lanjun Wang; Gabriel Murray; Giuseppe Carenini (EMNLP, 2022)

Improving Topic Segmentation by Injecting Discourse Dependencies. - Linzi Xing; Patrick Huber; Giuseppe Carenini (CoRR, 2022)

Diversity-Aware Coherence Loss for Improving Neural Topic Models. - Raymond Li; Felipe González-Pizarro; Linzi Xing; Gabriel Murray; Giuseppe Carenini (ACL (2), 2023)

LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application. - Rindra Ramamonjison; Timothy T. L. Yu; Linzi Xing; Mahdi Mostajabdaveh; Xiaorui Li; Xiaojin Fu; Xiongwei Han; Yuanzhe Chen; Ren Li; Kun Mao 001; Yong Zhang 004 (ACL (demo), 2023)

Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses. - Linzi Xing; Brad Hackinen; Giuseppe Carenini (CoRR, 2023)

Towards Human-aligned Evaluation for Linear Programming Word Problems. - Linzi Xing; Xinglu Wang; Yuxi Feng; Zhenan Fan; Jing Xiong; Zhijiang Guo; Xiaojin Fu; Rindra Ramamonjison; Mahdi Mostajabdaveh; Xiongwei Han; Zirui Zhou; Yong Zhang 004 (LREC/COLING, 2024)

Multi-modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation. - Linzi Xing; Quan Hung Tran; Fabian Caba; Franck Dernoncourt; Seunghyun Yoon 002; Zhaowen Wang; Trung Bui; Giuseppe Carenini (MMM (3), 2024)

Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. - Zhenan Fan; Bissan Ghaddar; Xinglu Wang; Linzi Xing; Yong Zhang 004; Zirui Zhou (CoRR, 2024)

Efficiently serving large multimedia models using EPD Disaggregation. - Gursimran Singh; Xinglu Wang; Ivan Hu; Timothy Yu; Linzi Xing; Wei Jiang; Zhefeng Wang; Xiaolong Bai; Yi Li; Ying Xiong; Yong Zhang 004; Zhenan Fan (CoRR, 2025)

Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs. - Morgan Lindsay Heisler; Linzi Xing; Ge Shi; Hanieh Sadri; Gursimran Singh; Weiwei Zhang; Tao Ye; Ying Xiong; Yong Zhang 004; Zhenan Fan (CoRR, 2025)