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2020 – today
- 2025
[c7]Chengzu Li, Han Zhou, Goran Glavas, Anna Korhonen, Ivan Vulic:
Large Language Models are Miscalibrated In-Context Learners. ACL (Findings) 2025: 11575-11596- [c6]Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vulic, Furu Wei:
Imagine While Reasoning in Space: Multimodal Visualization-of-Thought. ICML 2025 - [i16]Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vulic, Furu Wei:
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought. CoRR abs/2501.07542 (2025) - [i15]Huanyu Zhang, Chengzu Li, Wenshan Wu, Shaoguang Mao, Yan Xia, Ivan Vulic, Zhang Zhang, Liang Wang, Tieniu Tan, Furu Wei:
A Call for New Recipes to Enhance Spatial Reasoning in MLLMs. CoRR abs/2504.15037 (2025) - [i14]Yi Xu, Chengzu Li, Han Zhou, Xingchen Wan, Caiqi Zhang, Anna Korhonen, Ivan Vulic:
Visual Planning: Let's Think Only with Images. CoRR abs/2505.11409 (2025) - [i13]Lekang Jiang, Chengzu Li, Stephan Goetz:
Enriching Patent Claim Generation with European Patent Dataset. CoRR abs/2505.12568 (2025) - [i12]Caiqi Zhang, Xiaochen Zhu, Chengzu Li, Nigel Collier, Andreas Vlachos:
Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation. CoRR abs/2505.23912 (2025) - [i11]Chengzu Li, Wenshan Wu, Huanyu Zhang, Qingtao Li, Zeyu Gao, Yan Xia, José Hernández-Orallo, Ivan Vulic, Furu Wei:
11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis. CoRR abs/2508.20068 (2025) - [i10]Wenyan Li, Raphael Tang, Chengzu Li, Caiqi Zhang, Ivan Vulic, Anders Søgaard:
Lost in Embeddings: Information Loss in Vision-Language Models. CoRR abs/2509.11986 (2025) - [i9]Ej Zhou, Caiqi Zhang, Tiancheng Hu, Chengzu Li, Nigel Collier, Ivan Vulic, Anna Korhonen:
Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models. CoRR abs/2510.03136 (2025) - [i8]Zanyi Wang, Dengyang Jiang, Liuzhuozheng Li, Sizhe Dang, Chengzu Li, Harry Yang, Guang Dai, Mengmeng Wang, Jingdong Wang:
Deforming Videos to Masks: Flow Matching for Referring Video Segmentation. CoRR abs/2510.06139 (2025) - [i7]Huanyu Zhang, Wenshan Wu, Chengzu Li, Ning Shang, Yan Xia, Yangyu Huang, Yifan Zhang, Li Dong, Zhang Zhang, Liang Wang, Tieniu Tan, Furu Wei:
Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs. CoRR abs/2510.24514 (2025) - 2024
- [c5]Chengzu Li, Chao Zhang, Simone Teufel, Rama Sanand Doddipatla, Svetlana Stoyanchev:
Semantic Map-based Generation of Navigation Instructions. LREC/COLING 2024: 14628-14640 - [c4]Chengzu Li, Caiqi Zhang, Han Zhou
, Nigel Collier, Anna Korhonen, Ivan Vulic:
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. EMNLP 2024: 1786-1807 - [i6]Chengzu Li, Chao Zhang, Simone Teufel, Rama Sanand Doddipatla, Svetlana Stoyanchev:
Semantic Map-based Generation of Navigation Instructions. CoRR abs/2403.19603 (2024) - [i5]Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulic:
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. CoRR abs/2406.02537 (2024) - 2023
- [c3]Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu:
Generating Data for Symbolic Language with Large Language Models. EMNLP 2023: 8418-8443 - [c2]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:
Binding Language Models in Symbolic Languages. ICLR 2023 - [i4]Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu:
Generating Data for Symbolic Language with Large Language Models. CoRR abs/2305.13917 (2023) - [i3]Chengzu Li, Han Zhou, Goran Glavas, Anna Korhonen, Ivan Vulic:
On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning. CoRR abs/2312.13772 (2023) - 2022
- [c1]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:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [i2]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 R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i1]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:
Binding Language Models in Symbolic Languages. CoRR abs/2210.02875 (2022)
Coauthor Index
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