PRUID: Practical User Interface Distribution for Multi-surface Computing. - Menglong Cui; Mingsong Lv; Qingqiang He; Caiqi Zhang; Chuancai Gu; Tao Yang 024; Nan Guan (DAC, 2021)

BlueTrk+ for Tracking Presence and Position. - Yik Him Ho; Yun Fei Liu; Caiqi Zhang; Henry C. B. Chan (IEEE Commun. Mag., 2021)

Learning Action Conditions from Instructional Manuals for Instruction Understanding. - Te-Lin Wu; Caiqi Zhang; Qingyuan Hu; Alexander Spangher; Nanyun Peng 001 (ACL (1), 2023)

Natural Language is All a Graph Needs. - Ruosong Ye; Caiqi Zhang; Runhui Wang; Shuyuan Xu; Yongfeng Zhang (CoRR, 2023)

Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations. - Lekang Jiang; Caiqi Zhang; Farimah Poursafaei; Shenyang Huang (CoRR, 2023)

Hybrid Learning for Mobile Ad-Hoc Distancing/Positioning Using Bluetooth Low Energy. - Yik Him Ho; Yunfei Liu; Caiqi Zhang; Yerkezhan Sartayeva; Henry C. B. Chan (IEEE Internet Things J., 2023)

Language is All a Graph Needs. - Ruosong Ye; Caiqi Zhang; Runhui Wang; Shuyuan Xu; Yongfeng Zhang (EACL (Findings), 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)

LUQ: Long-text Uncertainty Quantification for LLMs. - Caiqi Zhang; Fangyu Liu 001; Marco Basaldella; Nigel Collier (EMNLP, 2024)

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. - Caiqi Zhang; Zhijiang Guo; Andreas Vlachos 001 (EMNLP, 2024)

Can Large Language Models Generate High-quality Patent Claims? - Lekang Jiang; Caiqi Zhang; Pascal A. Scherz; Stephan Goetz (CoRR, 2024)

Atomic Calibration of LLMs in Long-Form Generations. - Caiqi Zhang; Ruihan Yang; Zhisong Zhang; Xinting Huang; Sen Yang; Dong Yu 001; Nigel Collier (CoRR, 2024)

LoGU: Long-form Generation with Uncertainty Expressions. - Ruihan Yang; Caiqi Zhang; Zhisong Zhang; Xinting Huang; Sen Yang; Nigel Collier; Dong Yu 001; Deqing Yang (ACL (1), 2025)

Conformity in Large Language Models. - Xiaochen Zhu; Caiqi Zhang; Tom Stafford 002; Nigel Collier; Andreas Vlachos 001 (ACL (1), 2025)

Can Large Language Models Generate High-quality Patent Claims? - Lekang Jiang; Caiqi Zhang; Pascal A. Scherz; Stefan Goetz (NAACL (Findings), 2025)

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. - Yuan He 008; Bailan He; Zifeng Ding; Alisia Maria Lupidi; Yuqicheng Zhu; Shuo Chen 014; Caiqi Zhang; Jiaoyan Chen 001; Yunpu Ma; Volker Tresp; Ian Horrocks 001 (CoRR, 2025)

A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. - Artem Shelmanov; Ekaterina Fadeeva; Akim Tsvigun; Ivan Tsvigun; Zhuohan Xie; Igor Kiselev; Nico Daheim; Caiqi Zhang; Artem Vazhentsev; Mrinmaya Sachan; Preslav Nakov; Timothy Baldwin (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)

UNCLE: Uncertainty Expressions in Long-Form Generation. - Ruihan Yang; Caiqi Zhang; Zhisong Zhang; Xinting Huang; Dong Yu 001; Nigel Collier; Deqing Yang (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)

Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs. - Sanhanat Sivapiromrat; Caiqi Zhang; Marco Basaldella; Nigel Collier (CoRR, 2025)