Chengzu Li

According to our database, Chengzu Li authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

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

CoRR, January, 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