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Xinliang Frederick Zhang
Xinliang Frederick Zhang
Other namesXinliang Zhang, Frederick Zhang
PhD Candidate, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
POLITICS: pretraining with same-story article comparison for ideology prediction and stance detection
Y Liu*, XF Zhang*, D Wegsman, N Beauchamp, L Wang
NAACL 2022 - Findings, 2022
412022
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
X Yue*, XF Zhang*, Z Yao, S Lin, H Sun
BIBM 2021 (Best Paper), 2020
302020
Identifying inherent disagreement in natural language inference
XF Zhang, MC de Marneffe
NAACL 2021, 2021
172021
Cough: A challenge dataset and models for covid-19 faq retrieval
XF Zhang, H Sun, X Yue, S Lin, H Sun
EMNLP 2021, 2020
152020
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis
C Qiu, W Wu, XF Zhang, L Wang
EMNLP 2022, 2022
52022
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation
XF Zhang, N Beauchamp, L Wang
EMNLP 2022, 2022
52022
You Are What You Annotate: Towards Better Models through Annotator Representations
N Deng, S Liu, XF Zhang, W Wu, L Wang, R Mihalcea
EMNLP 2023 - Findings, 2023
32023
ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Refinement
XF Zhang, C Blum, T Choji, S Shah, A Vempala
arXiv preprint arXiv:2401.13218, 2024
22024
Towards More Robust Natural Language Understanding
XF Zhang
Undergraduate Thesis, 2021
22021
Cliniqg4qa: Generating diverse questions for domain adaptation of clinical question answering
Y Xiang, ZX Frederick, Y Ziyu, L Simon, S Huan
ML4H @ NeurIPS 2020, 2020
22020
MOKA: Moral knowledge augmentation for moral event extraction
XF Zhang, W Wu, N Beauchamp, L Wang
NAACL 2024, 2023
12023
All things considered: Detecting partisan events from news media with cross-article comparison
Y Liu, XF Zhang, K Zou, R Huang, N Beauchamp, L Wang
EMNLP 2023, 2023
12023
Crossing the aisle: Unveiling partisan and counter-partisan events in news reporting
K Zou, XF Zhang, W Wu, N Beauchamp, L Wang
EMNLP 2023 - Findings, 2023
12023
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