Zongxia Li

30 papers A* 1A 1Journal 22Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data.
CoRR
Zongxia Li, Hongyang Du, Chengsong Huang, Xiyang Wu, Lantao Yu, Yicheng He, Jing Xie, Xiaomin Wu, Zhichao Liu, Jiarui Zhang, Fuxiao Liu
2026 J jnl
SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models.
CoRR
Xiyang Wu, Guangyao Shi, Qingzi Wang, Zongxia Li, Amrit Singh Bedi, Dinesh Manocha
2025 — conf
A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges.
CVPR Workshops
Zongxia Li, Xiyang Wu, Hongyang Du, Fuxiao Liu, Huy Nghiem, Guangyao Shi
2025 J jnl
Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey.
CoRR
Zongxia Li, Xiyang Wu, Hongyang Du, Huy Nghiem, Guangyao Shi
2025 J jnl
First Frame Is the Place to Go for Video Content Customization.
CoRR
Jingxi Chen, Zongxia Li, Zhichao Liu, Guangyao Shi, Xiyang Wu, Fuxiao Liu, Cornelia Fermüller, Brandon Y. Feng, Yiannis Aloimonos
2025 J jnl
From Inpainting to Layer Decomposition: Repurposing Generative Inpainting Models for Image Layer Decomposition.
CoRR
Jingxi Chen, Yixiao Zhang, Xiaoye Qian, Zongxia Li, Cornelia Fermüller, Caren Chen, Yiannis Aloimonos
2025 J jnl
Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators.
CoRR
Feng Gu, Zongxia Li, Carlos Rafael Colon, Benjamin Evans, Ishani Mondal, Jordan Lee Boyd-Graber
2025 — conf
Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models.
ACL (1)
Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Daniel Kofi Stephens, Juan Francisco Fung, Alden Dima, Jordan Lee Boyd-Graber
2025 J jnl
Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs.
CoRR
Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Alden Dima, Juan Francisco Fung, Jordan L. Boyd-Graber
2025 J jnl
MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models.
CoRR
Xiyang Wu, Zongxia Li, Jihui Jin, Guangyao Shi, Gouthaman KV, Vishnu Raj, Nilotpal Sinha, Jingxi Chen, Fan Du, Dinesh Manocha
2025 J jnl
R-Zero: Self-Evolving Reasoning LLM from Zero Data.
CoRR
Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu
2025 J jnl
Self-Rewarding Vision-Language Model via Reasoning Decomposition.
CoRR
Zongxia Li, Wenhao Yu, Chengsong Huang, Rui Liu, Zhenwen Liang, Fuxiao Liu, Jingxi Che, Dian Yu, Jordan L. Boyd-Graber, Haitao Mi, Dong Yu
2025 J jnl
Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation.
CoRR
Zongxia Li, Yapei Chang, Yuhang Zhou, Xiyang Wu, Zichao Liang, Yoo Yeon Sung, Jordan Lee Boyd-Graber
2025 J jnl
VOGUE: Guiding Exploration with Visual Uncertainty Improves Multimodal Reasoning.
CoRR
Rui Liu, Dian Yu, Tong Zheng, Runpeng Dai, Zongxia Li, Wenhao Yu, Zhenwen Liang, Linfeng Song, Haitao Mi, Pratap Tokekar, Dong Yu
2025 J jnl
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding.
CoRR
Zongxia Li, Xiyang Wu, Guangyao Shi, Yubin Qin, Hongyang Du, Tianyi Zhou, Dinesh Manocha, Jordan Lee Boyd-Graber
2025 J jnl
VisPlay: Self-Evolving Vision-Language Models from Images.
CoRR
Yicheng He, Chengsong Huang, Zongxia Li, Jiaxin Huang, Yonghui Yang
2024 J jnl
Beyond Automated Evaluation Metrics: Evaluating Topic Models On Practical Social Science Content Analysis Tasks.
CoRR
Zongxia Li, Andrew Mao, Daniel Kofi Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber
2024 — conf
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
ACL (Short Papers)
Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger
2024 J jnl
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
CoRR
Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger
2024 A* conf
Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.
CVPR
Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
2024 — conf
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis.
EACL (1)
Zongxia Li, Andrew Mao, Daniel Kofi Stephens, Pranav Goel, Emily Walpole, Alden Dima, Juan Fung, Jordan L. Boyd-Graber
2024 J jnl
PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation.
CoRR
Zongxia Li, Ishani Mondal, Yijun Liang, Huy Nghiem, Jordan Lee Boyd-Graber
2024 — conf
PEDANTS: Cheap but Effective and Interpretable Answer Equivalence.
EMNLP (Findings)
Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber
2024 — conf
SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement.
EMNLP (Findings)
Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber
2024 J jnl
SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement.
CoRR
Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber
2023 J jnl
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
Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
2023 A conf
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.
EACL
Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
2023 J jnl
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps.
CoRR
Zongxia Li, Paiheng Xu, Fuxiao Liu, Hyemi Song
2022 J jnl
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models.
CoRR
Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
2021 J jnl
An Empirical Comparison of the Quadratic Sieve Factoring Algorithm and the Pollard Rho Factoring Algorithm.
CoRR
Zongxia Li, William Gasarch