An Empirical Comparison of the Quadratic Sieve Factoring Algorithm and the Pollard Rho Factoring Algorithm. - Zongxia Li; William Gasarch (CoRR, 2021)

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. - Haozhe An; Zongxia Li; Jieyu Zhao 001; Rachel Rudinger (EACL, 2023)

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps. - Zongxia Li; Paiheng Xu; Fuxiao Liu; Hyemi Song (CoRR, 2023)

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. - Fuxiao Liu; Tianrui Guan; Zongxia Li; Lichang Chen; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CoRR, 2023)

Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender? - Haozhe An; Christabel Acquaye; Colin Wang; Zongxia Li; Rachel Rudinger (ACL (Short Papers), 2024)

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. - Tianrui Guan; Fuxiao Liu; Xiyang Wu; Ruiqi Xian; Zongxia Li; Xiaoyu Liu 003; Xijun Wang 002; Lichang Chen; Furong Huang; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CVPR, 2024)

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis. - Zongxia Li; Andrew Mao; Daniel Kofi Stephens; Pranav Goel 001; Emily Walpole; Alden Dima; Juan Fung; Jordan L. Boyd-Graber (EACL (1), 2024)

PEDANTS: Cheap but Effective and Interpretable Answer Equivalence. - Zongxia Li; Ishani Mondal; Huy Nghiem; Yijun Liang; Jordan L. Boyd-Graber (EMNLP (Findings), 2024)

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. - Ishani Mondal; Zongxia Li; Yufang Hou 001; Anandhavelu Natarajan; Aparna Garimella; Jordan L. Boyd-Graber (EMNLP (Findings), 2024)

Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks. - Zongxia Li; Andrew Mao; Daniel Kofi Stephens; Pranav Goel 001; Emily Walpole; Alden Dima; Juan Fung; Jordan L. Boyd-Graber (CoRR, 2024)

PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation. - Zongxia Li; Ishani Mondal; Yijun Liang; Huy Nghiem; Jordan Lee Boyd-Graber (CoRR, 2024)

Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models. - Zongxia Li; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Paiheng Xu; Daniel Kofi Stephens; Juan Francisco Fung; Alden Dima; Jordan Lee Boyd-Graber (ACL (1), 2025)

A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges. - Zongxia Li; Xiyang Wu; Hongyang Du; Fuxiao Liu; Huy Nghiem; Guangyao Shi (CVPR Workshops, 2025)

Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey. - Zongxia Li; Xiyang Wu; Hongyang Du; Huy Nghiem; Guangyao Shi (CoRR, 2025)

Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs. - Zongxia Li; Lorena Calvo-Bartolomé; Alexander Miserlis Hoyle; Paiheng Xu; Alden Dima; Juan Francisco Fung; Jordan L. Boyd-Graber (CoRR, 2025)

Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators. - Feng Gu; Zongxia Li; Carlos Rafael Colon; Benjamin Evans; Ishani Mondal; Jordan Lee Boyd-Graber (CoRR, 2025)

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding. - Zongxia Li; Xiyang Wu; Guangyao Shi; Yubin Qin; Hongyang Du; Tianyi Zhou 001; Dinesh Manocha; Jordan Lee Boyd-Graber (CoRR, 2025)

Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation. - Zongxia Li; Yapei Chang; Yuhang Zhou; Xiyang Wu; Zichao Liang; Yoo Yeon Sung; Jordan Lee Boyd-Graber (CoRR, 2025)

R-Zero: Self-Evolving Reasoning LLM from Zero Data. - Chengsong Huang; Wenhao Yu 002; Xiaoyang Wang; Hongming Zhang 009; Zongxia Li; Ruosen Li; Jiaxin Huang; Haitao Mi; Dong Yu 001 (CoRR, 2025)