Chengzu Li

According to our database, Chengzu Li authored at least 22 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Video Understanding: From Geometry and Semantics to Unified Models.

Zhaochong An, Zirui Li, Mingqiao Ye, Feng Qiao, Jiaang Li, Zongwei Wu, Vishal Thengane, Chengzu Li, Lei Li, Luc Van Gool, Guolei Sun, Serge J. Belongie

CoRR, March, 2026

How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing.

Huanyu Zhang, Xuehai Bai, Chengzu Li, Chen Liang, Haochen Tian, Haodong Li, Ruichuan An, Yifan Zhang, Anna Korhonen, Zhang Zhang, Liang Wang, Tieniu Tan

CoRR, February, 2026

Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning.

Chengzu Li, Zanyi Wang, Jiaang Li, Yi Xu, Han Zhou, Huanyu Zhang, Ruichuan An, Dengyang Jiang, Zhaochong An, Ivan Vulic, Serge J. Belongie, Anna Korhonen

CoRR, January, 2026

Confidence Estimation for LLMs in Multi-turn Interactions.

Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier

CoRR, January, 2026

2025

Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs.

Huanyu Zhang, Wenshan Wu, Chengzu Li, Ning Shang, Yan Xia, Yangyu Huang, Yifan Zhang, Li Dong, Zhang Zhang, Liang Wang, Tieniu Tan, Furu Wei

CoRR, October, 2025

Deforming Videos to Masks: Flow Matching for Referring Video Segmentation.

Zanyi Wang, Dengyang Jiang, Liuzhuozheng Li, Sizhe Dang, Chengzu Li, Harry Yang, Guang Dai, Mengmeng Wang, Jingdong Wang

CoRR, October, 2025

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models.

Ej Zhou, Caiqi Zhang, Tiancheng Hu, Chengzu Li, Nigel Collier, Ivan Vulic, Anna Korhonen

CoRR, October, 2025

11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis.

Chengzu Li, Wenshan Wu, Huanyu Zhang, Qingtao Li, Zeyu Gao, Yan Xia, José Hernández-Orallo, Ivan Vulic, Furu Wei

CoRR, August, 2025

Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation.

Caiqi Zhang, Xiaochen Zhu, Chengzu Li, Nigel Collier, Andreas Vlachos

CoRR, May, 2025

Enriching Patent Claim Generation with European Patent Dataset.

Lekang Jiang, Chengzu Li, Stephan Goetz

CoRR, May, 2025

Visual Planning: Let's Think Only with Images.

Yi Xu, Chengzu Li, Han Zhou, Xingchen Wan, Caiqi Zhang, Anna Korhonen, Ivan Vulic

CoRR, May, 2025

A Call for New Recipes to Enhance Spatial Reasoning in MLLMs.

Huanyu Zhang, Chengzu Li, Wenshan Wu, Shaoguang Mao, Yan Xia, Ivan Vulic, Zhang Zhang, Liang Wang, Tieniu Tan, Furu Wei

CoRR, April, 2025

Imagine While Reasoning in Space: Multimodal Visualization-of-Thought.

Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vulic, Furu Wei

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Lost in Embeddings: Information Loss in Vision-Language Models.

Wenyan Li, Raphael Tang, Chengzu Li, Caiqi Zhang, Ivan Vulic, Anders Søgaard

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Enriching Patent Claim Generation with European Patent Dataset.

Lekang Jiang, Chengzu Li, Stefan Goetz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Large Language Models are Miscalibrated In-Context Learners.

Chengzu Li, Han Zhou, Goran Glavas, Anna Korhonen, Ivan Vulic

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners.

Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulic

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Semantic Map-based Generation of Navigation Instructions.

Chengzu Li, Chao Zhang, Simone Teufel, Rama Sanand Doddipatla, Svetlana Stoyanchev

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning.

Chengzu Li, Han Zhou, Goran Glavas, Anna Korhonen, Ivan Vulic

CoRR, 2023

Binding Language Models in Symbolic Languages.

Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generating Data for Symbolic Language with Large Language Models.

Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.

Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022