COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval. - Xinliang Frederick Zhang; Heming Sun; Xiang Yue; Emmett Jesrani; Simon M. Lin; Huan Sun 001 (CoRR, 2020)

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering. - Xiang Yue; Xinliang Frederick Zhang; Ziyu Yao 002; Simon M. Lin; Huan Sun 001 (BIBM, 2021)

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval. - Xinliang Frederick Zhang; Heming Sun; Xiang Yue; Simon M. Lin; Huan Sun 001 (EMNLP (1), 2021)

Identifying inherent disagreement in natural language inference. - Xinliang Frederick Zhang; Marie-Catherine de Marneffe (NAACL-HLT, 2021)

Towards More Robust Natural Language Understanding. - Xinliang Frederick Zhang (CoRR, 2021)

Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. - Changyuan Qiu; Winston Wu; Xinliang Frederick Zhang; Lu Wang 008 (EMNLP, 2022)

Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. - Xinliang Frederick Zhang; Nick Beauchamp; Lu Wang 008 (EMNLP, 2022)

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. - Yujian Liu; Xinliang Frederick Zhang; David Wegsman; Nicholas Beauchamp; Lu Wang 008 (NAACL-HLT (Findings), 2022)

You Are What You Annotate: Towards Better Models through Annotator Representations. - Naihao Deng; Xinliang Frederick Zhang; Siyang Liu 003; Winston Wu; Lu Wang 008; Rada Mihalcea (EMNLP (Findings), 2023)

All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. - Yujian Liu; Xinliang Frederick Zhang; Kaijian Zou; Ruihong Huang; Nicholas Beauchamp; Lu Wang 008 (EMNLP, 2023)

Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. - Kaijian Zou; Xinliang Frederick Zhang; Winston Wu; Nicholas Beauchamp; Lu Wang 008 (EMNLP (Findings), 2023)

ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement. - Xinliang Frederick Zhang; Carter Wood Blum; Temma Choji; Shalin Shah; Alakananda Vempala (ACL (Findings), 2024)

Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. - Xinliang Frederick Zhang; Nicholas Beauchamp; Lu Wang 008 (EMNLP (Findings), 2024)

MOKA: Moral Knowledge Augmentation for Moral Event Extraction. - Xinliang Frederick Zhang; Winston Wu; Nicholas Beauchamp; Lu Wang 008 (NAACL-HLT, 2024)

ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Refinement. - Xinliang Frederick Zhang; Carter Wood Blum; Temma Choji; Shalin Shah; Alakananda Vempala (CoRR, 2024)

PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes. - Xinliang Frederick Zhang; Nick Beauchamp; Lu Wang 008 (CoRR, 2025)

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training. - Yunxiang Zhang; Muhammad Khalifa; Lechen Zhang; Xin Liu; Ayoung Lee; Xinliang Frederick Zhang; Farima Fatahi Bayat; Lu Wang 008 (CoRR, 2025)