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ORCIDZongxia Li
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2020 – today
- 2026
[c10]Feng Gu, Zongxia Li, Carlos Rafael Colon, Benjamin Evans, Ishani Mondal, Jordan Lee Boyd-Graber:
Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators. ACL (Findings) 2026: 71-89- [i30]Zongxia Li, Hongyang Du, Chengsong Huang, Xiyang Wu, Lantao Yu, Yicheng He, Jing Xie, Xiaomin Wu, Zhichao Liu, Jiarui Zhang, Fuxiao Liu:
MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data. CoRR abs/2603.09206 (2026) - [i29]Xiyang Wu, Guangyao Shi, Qingzi Wang, Zongxia Li, Amrit Singh Bedi, Dinesh Manocha:
SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models. CoRR abs/2603.24935 (2026) - [i28]Dawei Liu
, Zongxia Li, Hongyang Du, Xiyang Wu, Shihang Gui, Yongbei Kuang, Lichao Sun:
Graph of Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills. CoRR abs/2604.05333 (2026) - [i27]Xiyang Wu, Zongxia Li, Guangyao Shi, Alexander Duffy, Tyler Marques, Matthew Lyle Olson, Tianyi Zhou, Dinesh Manocha:
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks. CoRR abs/2604.20987 (2026) - [i26]Chengsong Huang, Haolin Liu, Tong Zheng, Runpeng Dai, Langlin Huang, Jinyuan Li, Zongxia Li, Zhepei Wei, Yu Meng, Jiaxin Huang:
G-Zero: Self-Play for Open-Ended Generation from Zero Data. CoRR abs/2605.09959 (2026) - [i25]Hongyang Du, Zongxia Li, Dawei Liu, Runhao Li, Haoyuan Song, Qingyu Zhang, Yubo Wang, Jingcheng Ni, Shihang Gui, Congchao Dong, Tao Hu:
A Cookbook of 3D Vision: Data, Learning Paradigms, and Application. CoRR abs/2606.04291 (2026) - [i24]Zongxia Li, Dawei Liu, Fuxiao Liu, Yuhang Zhou, Xiyang Wu, Jingxi Chen, Jing Xie, Xiaomin Wu, Lichao Sun:
COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows. CoRR abs/2607.01709 (2026) - [i23]Zongxia Li, Zhongzhi Li, Yucheng Shi, Ruhan Wang, Junyao Yang, Zhichao Liu, Xiyang Wu, Anhao Li, Yue Yu, Ninghao Liu, Lichao Sun, Haotao Mi, Leowei Liang:
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading. CoRR abs/2607.08964 (2026) - [i22]Ruhan Wang, Yucheng Shi, Zongxia Li, Zhongzhi Li, Yue Yu, Junyao Yang, Kishan Panaganti, Haitao Mi, Dongruo Zhou, Leoweiliang:
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable. CoRR abs/2607.13285 (2026) - [i21]Junyao Yang, Yucheng Shi, Zongxia Li, Zhongzhi Li, Ruhan Wang, Xiangxin Zhou, Kishan Panaganti, Haitao Mi, Leowei Liang:
Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning. CoRR abs/2607.18722 (2026) - 2025
- [c9]Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Daniel Kofi Stephens, Juan Francisco Fung, Alden Dima, Jordan Lee Boyd-Graber:
Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models. ACL (1) 2025: 7583-7604 - [c8]Zongxia Li, Xiyang Wu, Hongyang Du, Fuxiao Liu, Huy Nghiem, Guangyao Shi:
A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges. CVPR Workshops 2025: 1587-1606 - [c7]Zongxia Li, Xiyang Wu, Guangyao Shi, Yubin Qin, Hongyang Du, Tianyi Zhou, Dinesh Manocha, Jordan L. Boyd-Graber:
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding. NeurIPS 2025 - [i20]Zongxia Li, Xiyang Wu, Hongyang Du, Huy Nghiem, Guangyao Shi:
Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey. CoRR abs/2501.02189 (2025) - [i19]Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Alden Dima, Juan Francisco Fung, Jordan L. Boyd-Graber:
Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs. CoRR abs/2502.14748 (2025) - [i18]Feng Gu, Zongxia Li, Carlos Rafael Colon, Benjamin Evans, Ishani Mondal, Jordan Lee Boyd-Graber:
Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators. CoRR abs/2503.06778 (2025) - [i17]Zongxia Li, Xiyang Wu, Guangyao Shi, Yubin Qin, Hongyang Du, Tianyi Zhou, Dinesh Manocha, Jordan Lee Boyd-Graber:
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding. CoRR abs/2505.01481 (2025) - [i16]Zongxia Li, Yapei Chang, Yuhang Zhou, Xiyang Wu, Zichao Liang, Yoo Yeon Sung, Jordan Lee Boyd-Graber:
Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation. CoRR abs/2506.15068 (2025) - [i15]Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu:
R-Zero: Self-Evolving Reasoning LLM from Zero Data. CoRR abs/2508.05004 (2025) - [i14]Zongxia Li, Wenhao Yu, Chengsong Huang, Rui Liu, Zhenwen Liang, Fuxiao Liu, Jingxi Che, Dian Yu, Jordan L. Boyd-Graber, Haitao Mi, Dong Yu:
Self-Rewarding Vision-Language Model via Reasoning Decomposition. CoRR abs/2508.19652 (2025) - [i13]Rui Liu, Dian Yu, Tong Zheng, Runpeng Dai, Zongxia Li, Wenhao Yu, Zhenwen Liang, Linfeng Song, Haitao Mi, Pratap Tokekar, Dong Yu:
VOGUE: Guiding Exploration with Visual Uncertainty Improves Multimodal Reasoning. CoRR abs/2510.01444 (2025) - [i12]Yicheng He, Chengsong Huang, Zongxia Li, Jiaxin Huang, Yonghui Yang:
VisPlay: Self-Evolving Vision-Language Models from Images. CoRR abs/2511.15661 (2025) - [i11]Jingxi Chen, Zongxia Li, Zhichao Liu, Guangyao Shi, Xiyang Wu, Fuxiao Liu, Cornelia Fermüller, Brandon Y. Feng, Yiannis Aloimonos:
First Frame Is the Place to Go for Video Content Customization. CoRR abs/2511.15700 (2025) - [i10]Xiyang Wu, Zongxia Li, Jihui Jin, Guangyao Shi, Gouthaman KV, Vishnu Raj, Nilotpal Sinha, Jingxi Chen, Fan Du, Dinesh Manocha:
MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models. CoRR abs/2511.18373 (2025) - [i9]Jingxi Chen, Yixiao Zhang, Xiaoye Qian, Zongxia Li, Cornelia Fermüller, Caren Chen, Yiannis Aloimonos:
From Inpainting to Layer Decomposition: Repurposing Generative Inpainting Models for Image Layer Decomposition. CoRR abs/2511.20996 (2025) - 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 Kofi 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 Kofi 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
aka: Jordan Lee Boyd-Graber
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