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ORCIDCaiqi Zhang
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2020 – today
- 2026
[i23]Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier:
Confidence Estimation for LLMs in Multi-turn Interactions. CoRR abs/2601.02179 (2026)- [i22]Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank:
Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective. CoRR abs/2601.03154 (2026) - [i21]Runyang You, Hongru Cai, Caiqi Zhang, Qiancheng Xu, Meng Liu, Tiezheng Yu, Yongqi Li, Wenjie Li:
Agent-as-a-Judge. CoRR abs/2601.05111 (2026) - [i20]Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier:
Value of Information: A Framework for Human-Agent Communication. CoRR abs/2601.06407 (2026) - 2025
- [c14]Xiaochen Zhu, Caiqi Zhang, Tom Stafford, Nigel Collier, Andreas Vlachos:
Conformity in Large Language Models. ACL (1) 2025: 3854-3872 - [c13]Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Sen Yang, Nigel Collier, Dong Yu, Deqing Yang:
LoGU: Long-form Generation with Uncertainty Expressions. ACL (1) 2025: 18947-18968 - [c12]Wenyan Li, Raphael Tang, Chengzu Li, Caiqi Zhang, Ivan Vulic, Anders Søgaard:
Lost in Embeddings: Information Loss in Vision-Language Models. EMNLP (Findings) 2025: 22676-22693 - [c11]Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Dong Yu, Nigel Collier, Deqing Yang:
UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation. EMNLP 2025: 30340-30356 - [c10]Caiqi Zhang, Chang Shu, Ehsan Shareghi, Nigel Collier:
All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning. EMNLP 2025: 31814-31824 - [c9]Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin:
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. EMNLP 2025: 35712-35731 - [c8]Caiqi Zhang, Ruihan Yang, Zhisong Zhang, Xinting Huang, Sen Yang, Dong Yu, Nigel Collier:
Atomic Calibration of LLMs in Long-Form Generations. IJCNLP-AACL (Findings) 2025: 148-169 - [c7]Lekang Jiang, Caiqi Zhang, Pascal A. Scherz, Stefan Goetz:
Can Large Language Models Generate High-quality Patent Claims? NAACL (Findings) 2025: 1272-1287 - [d1]Yuan He
, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks:
FactProbe: Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. Zenodo, 2025
- [i19]Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks:
Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. CoRR abs/2503.22362 (2025) - [i18]Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin:
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. CoRR abs/2505.08200 (2025) - [i17]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) - [i16]Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Dong Yu, Nigel Collier, Deqing Yang:
UNCLE: Uncertainty Expressions in Long-Form Generation. CoRR abs/2505.16922 (2025) - [i15]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) - [i14]Sanhanat Sivapiromrat, Caiqi Zhang, Marco Basaldella, Nigel Collier:
Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs. CoRR abs/2507.11112 (2025) - [i13]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) - [i12]Caiqi Zhang, Chang Shu, Ehsan Shareghi, Nigel Collier:
All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning. CoRR abs/2509.12908 (2025) - [i11]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) - 2024
- [c6]Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang:
Language is All a Graph Needs. EACL (Findings) 2024: 1955-1973 - [c5]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 - [c4]Caiqi Zhang, Zhijiang Guo, Andreas Vlachos:
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. EMNLP 2024: 1899-1914 - [c3]Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier:
LUQ: Long-text Uncertainty Quantification for LLMs. EMNLP 2024: 5244-5262 - [i10]Caiqi Zhang, Zhijiang Guo, Andreas Vlachos:
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. CoRR abs/2401.15498 (2024) - [i9]Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier:
LUQ: Long-text Uncertainty Quantification for LLMs. CoRR abs/2403.20279 (2024) - [i8]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) - [i7]Lekang Jiang, Caiqi Zhang, Pascal A. Scherz, Stephan Goetz:
Can Large Language Models Generate High-quality Patent Claims? CoRR abs/2406.19465 (2024) - [i6]Xiaochen Zhu, Caiqi Zhang, Tom Stafford, Nigel Collier, Andreas Vlachos:
Conformity in Large Language Models. CoRR abs/2410.12428 (2024) - [i5]Caiqi Zhang, Ruihan Yang, Zhisong Zhang, Xinting Huang, Sen Yang, Dong Yu, Nigel Collier:
Atomic Calibration of LLMs in Long-Form Generations. CoRR abs/2410.13246 (2024) - [i4]Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Sen Yang, Nigel Collier, Dong Yu, Deqing Yang:
LoGU: Long-form Generation with Uncertainty Expressions. CoRR abs/2410.14309 (2024) - 2023
- [j2]Yik Him Ho, Yunfei Liu, Caiqi Zhang, Yerkezhan Sartayeva, Henry C. B. Chan:
Hybrid Learning for Mobile Ad-Hoc Distancing/Positioning Using Bluetooth Low Energy. IEEE Internet Things J. 10(14): 12293-12307 (2023) - [c2]Te-Lin Wu, Caiqi Zhang, Qingyuan Hu, Alexander Spangher, Nanyun Peng:
Learning Action Conditions from Instructional Manuals for Instruction Understanding. ACL (1) 2023: 3023-3043 - [i3]Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang:
Natural Language is All a Graph Needs. CoRR abs/2308.07134 (2023) - [i2]Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang:
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations. CoRR abs/2308.07883 (2023) - 2022
- [i1]Te-Lin Wu, Caiqi Zhang, Qingyuan Hu, Alexander Spangher, Nanyun Peng:
Learning Action Conditions from Instructional Manuals for Instruction Understanding. CoRR abs/2205.12420 (2022) - 2021
- [j1]Yik Him Ho, Yun Fei Liu, Caiqi Zhang, Henry C. B. Chan:
BlueTrk+ for Tracking Presence and Position. IEEE Commun. Mag. 59(8): 80-85 (2021) - [c1]Menglong Cui, Mingsong Lv, Qingqiang He, Caiqi Zhang, Chuancai Gu, Tao Yang, Nan Guan:
PRUID: Practical User Interface Distribution for Multi-surface Computing. DAC 2021: 679-684
Coauthor Index
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