Caiqi Zhang

According to our database, Caiqi Zhang authored at least 33 papers between 2021 and 2026.

Collaborative distances:

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

2026

Budget-Aware Agentic Routing via Boundary-Guided Training.

Caiqi Zhang, Menglin Xia, Xuchao Zhang, Daniel Madrigal, Ankur Mallick, Samuel Kessler, Victor Rühle, Saravan Rajmohan

CoRR, February, 2026

Demystifying Multi-Agent Debate: The Role of Confidence and Diversity.

Xiaochen Zhu, Caiqi Zhang, Yizhou Chi, Tom Stafford, Nigel Collier, Andreas Vlachos

CoRR, January, 2026

Agent-as-a-Judge.

Runyang You, Hongru Cai, Caiqi Zhang, Qiancheng Xu, Meng Liu, Tiezheng Yu, Yongqi Li, Wenjie Li

CoRR, January, 2026

Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective.

Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank

CoRR, January, 2026

Confidence Estimation for LLMs in Multi-turn Interactions.

Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier

CoRR, January, 2026

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation.

Caiqi Zhang, Xiaochen Zhu, Chengzu Li, Nigel Collier, Andreas Vlachos

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Value of Information: A Framework for Human-Agent Communication.

Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models.

Ej Zhou, Caiqi Zhang, Tiancheng Hu, Chengzu Li, Nigel Collier, Ivan Vulic, Anna Korhonen

CoRR, October, 2025

Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs.

Sanhanat Sivapiromrat, Caiqi Zhang, Marco Basaldella, Nigel Collier

CoRR, July, 2025

FactProbe: Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs.

Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks

Dataset, July, 2025

Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation.

Caiqi Zhang, Xiaochen Zhu, Chengzu Li, Nigel Collier, Andreas Vlachos

CoRR, May, 2025

UNCLE: Uncertainty Expressions in Long-Form Generation.

Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Dong Yu, Nigel Collier, Deqing Yang

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

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs.

Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks

CoRR, March, 2025

Can Large Language Models Generate High-quality Patent Claims?

Lekang Jiang, Caiqi Zhang, Pascal A. Scherz, Stefan Goetz

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Atomic Calibration of LLMs in Long-Form Generations.

Caiqi Zhang, Ruihan Yang, Zhisong Zhang, Xinting Huang, Sen Yang, Dong Yu, Nigel Collier

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning.

Caiqi Zhang, Chang Shu, Ehsan Shareghi, Nigel Collier

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation.

Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Dong Yu, Nigel Collier, Deqing Yang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Lost in Embeddings: Information Loss in Vision-Language Models.

Wenyan Li, Raphael Tang, Chengzu Li, Caiqi Zhang, Ivan Vulic, Anders Søgaard

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Conformity in Large Language Models.

Xiaochen Zhu, Caiqi Zhang, Tom Stafford, Nigel Collier, Andreas Vlachos

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LoGU: Long-form Generation with Uncertainty Expressions.

Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Sen Yang, Nigel Collier, Dong Yu, Deqing Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Can Large Language Models Generate High-quality Patent Claims?

Lekang Jiang, Caiqi Zhang, Pascal A. Scherz, Stephan Goetz

CoRR, 2024

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese.

Caiqi Zhang, Zhijiang Guo, Andreas Vlachos

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LUQ: Long-text Uncertainty Quantification for LLMs.

Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Language is All a Graph Needs.

Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

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., July, 2023

Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations.

Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang

CoRR, 2023

Natural Language is All a Graph Needs.

Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang

CoRR, 2023

Learning Action Conditions from Instructional Manuals for Instruction Understanding.

Te-Lin Wu, Caiqi Zhang, Qingyuan Hu, Alexander Spangher, Nanyun Peng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

BlueTrk+ for Tracking Presence and Position.

Yik Him Ho, Yun Fei Liu, Caiqi Zhang, Henry C. B. Chan

IEEE Commun. Mag., 2021

PRUID: Practical User Interface Distribution for Multi-surface Computing.

Menglong Cui, Mingsong Lv, Qingqiang He, Caiqi Zhang, Chuancai Gu, Tao Yang, Nan Guan

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021