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2020 – today
- 2024
[c6]Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger:
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender? ACL (Short Papers) 2024: 386-397- [c5]Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou:
Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. CVPR 2024: 14375-14385 - [c4]Zongxia Li, Andrew Mao, Daniel Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber:
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis. EACL (1) 2024: 840-859 - [c3]Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber:
PEDANTS: Cheap but Effective and Interpretable Answer Equivalence. EMNLP (Findings) 2024: 9373-9398 - [c2]Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber:
SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. EMNLP (Findings) 2024: 13342-13375 - [i8]Zongxia Li, Andrew Mao, Daniel Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber:
Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks. CoRR abs/2401.16348 (2024) - [i7]Zongxia Li, Ishani Mondal, Yijun Liang, Huy Nghiem, Jordan Lee Boyd-Graber:
PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation. CoRR abs/2402.11161 (2024) - [i6]Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger:
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender? CoRR abs/2406.10486 (2024) - [i5]Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber:
SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. CoRR abs/2409.19242 (2024) - 2023
- [c1]Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
:
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. EACL 2023: 1565-1588 - [i4]Zongxia Li, Paiheng Xu, Fuxiao Liu, Hyemi Song:
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps. CoRR abs/2307.05052 (2023) - [i3]Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou:
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models. CoRR abs/2310.14566 (2023) - 2022
- [i2]Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger:
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. CoRR abs/2210.07269 (2022) - 2021
- [i1]Zongxia Li, William Gasarch:
An Empirical Comparison of the Quadratic Sieve Factoring Algorithm and the Pollard Rho Factoring Algorithm. CoRR abs/2111.02967 (2021)
Coauthor Index
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