UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

Generating Data for Symbolic Language with Large Language Models. - Jiacheng Ye; Chengzu Li; Lingpeng Kong; Tao Yu 009 (EMNLP, 2023)

Binding Language Models in Symbolic Languages. - Zhoujun Cheng; Tianbao Xie; Peng Shi 010; Chengzu Li; Rahul Nadkarni; Yushi Hu; Caiming Xiong; Dragomir Radev; Mari Ostendorf; Luke Zettlemoyer; Noah A. Smith; Tao Yu 009 (ICLR, 2023)

On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning. - Chengzu Li; Han Zhou 010; Goran Glavas; Anna Korhonen; Ivan Vulic (CoRR, 2023)

Semantic Map-based Generation of Navigation Instructions. - Chengzu Li; Chao Zhang; Simone Teufel; Rama Sanand Doddipatla; Svetlana Stoyanchev (LREC/COLING, 2024)

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. - Chengzu Li; Caiqi Zhang; Han Zhou 010; Nigel Collier; Anna Korhonen; Ivan Vulic (EMNLP, 2024)

Large Language Models are Miscalibrated In-Context Learners. - Chengzu Li; Han Zhou 010; Goran Glavas; Anna Korhonen; Ivan Vulic (ACL (Findings), 2025)

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought. - Chengzu Li; Wenshan Wu; Huanyu Zhang; Yan Xia 005; Shaoguang Mao; Li Dong 004; Ivan Vulic; Furu Wei (CoRR, 2025)

A Call for New Recipes to Enhance Spatial Reasoning in MLLMs. - Huanyu Zhang; Chengzu Li; Wenshan Wu; Shaoguang Mao; Yan Xia 005; Ivan Vulic; Zhang Zhang 001; Liang Wang 001; Tieniu Tan; Furu Wei (CoRR, 2025)

Visual Planning: Let's Think Only with Images. - Yi Xu; Chengzu Li; Han Zhou 010; Xingchen Wan; Caiqi Zhang; Anna Korhonen; Ivan Vulic (CoRR, 2025)

Enriching Patent Claim Generation with European Patent Dataset. - Lekang Jiang; Chengzu Li; Stephan Goetz (CoRR, 2025)

Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation. - Caiqi Zhang; Xiaochen Zhu; Chengzu Li; Nigel Collier; Andreas Vlachos 001 (CoRR, 2025)