Caiqi Zhang - RankMe

41 papers A* 7Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agent-as-a-Judge. CoRR Runyang You, Hongru Cai, Caiqi Zhang, Qiancheng Xu, Meng Liu, Tiezheng Yu, Yongqi Li, Wenjie Li
2026	J	`jnl`	Budget-Aware Agentic Routing via Boundary-Guided Training. CoRR Caiqi Zhang, Menglin Xia, Xuchao Zhang, Daniel Madrigal, Ankur Mallick, Samuel Kessler, Victor Rühle, Saravan Rajmohan
2026	J	`jnl`	Confidence Estimation for LLMs in Multi-turn Interactions. CoRR Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier
2026	J	`jnl`	Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective. CoRR Beiduo Chen, Tiancheng Hu, Caiqi Zhang, Robert Litschko, Anna Korhonen, Barbara Plank
2026	J	`jnl`	Demystifying Multi-Agent Debate: The Role of Confidence and Diversity. CoRR Xiaochen Zhu, Caiqi Zhang, Yizhou Chi, Tom Stafford, Nigel Collier, Andreas Vlachos
2026	J	`jnl`	Value of Information: A Framework for Human-Agent Communication. CoRR Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier
2025	A*	`conf`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. EMNLP Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	J	`jnl`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. CoRR Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	A*	`conf`	All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning. EMNLP Caiqi Zhang, Chang Shu, Ehsan Shareghi, Nigel Collier
2025	J	`jnl`	All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning. CoRR Caiqi Zhang, Chang Shu, Ehsan Shareghi, Nigel Collier
2025	—	`conf`	Atomic Calibration of LLMs in Long-Form Generations. IJCNLP-AACL (Findings) Caiqi Zhang, Ruihan Yang, Zhisong Zhang, Xinting Huang, Sen Yang, Dong Yu, Nigel Collier
2025	J	`jnl`	Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models. CoRR Ej Zhou, Caiqi Zhang, Tiancheng Hu, Chengzu Li, Nigel Collier, Ivan Vulic, Anna Korhonen
2025	—	`conf`	Can Large Language Models Generate High-quality Patent Claims? NAACL (Findings) Lekang Jiang, Caiqi Zhang, Pascal A. Scherz, Stefan Goetz
2025	—	`conf`	Conformity in Large Language Models. ACL (1) Xiaochen Zhu, Caiqi Zhang, Tom Stafford, Nigel Collier, Andreas Vlachos
2025	—	`conf`	LoGU: Long-form Generation with Uncertainty Expressions. ACL (1) Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Sen Yang, Nigel Collier, Dong Yu, Deqing Yang
2025	—	`conf`	Lost in Embeddings: Information Loss in Vision-Language Models. EMNLP (Findings) Wenyan Li, Raphael Tang, Chengzu Li, Caiqi Zhang, Ivan Vulic, Anders Søgaard
2025	J	`jnl`	Lost in Embeddings: Information Loss in Vision-Language Models. CoRR Wenyan Li, Raphael Tang, Chengzu Li, Caiqi Zhang, Ivan Vulic, Anders Søgaard
2025	J	`jnl`	Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs. CoRR Sanhanat Sivapiromrat, Caiqi Zhang, Marco Basaldella, Nigel Collier
2025	J	`jnl`	Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation. CoRR Caiqi Zhang, Xiaochen Zhu, Chengzu Li, Nigel Collier, Andreas Vlachos
2025	J	`jnl`	Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. CoRR Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks
2025	A*	`conf`	UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation. EMNLP Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Dong Yu, Nigel Collier, Deqing Yang
2025	J	`jnl`	UNCLE: Uncertainty Expressions in Long-Form Generation. CoRR Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Dong Yu, Nigel Collier, Deqing Yang
2025	J	`jnl`	Visual Planning: Let's Think Only with Images. CoRR Yi Xu, Chengzu Li, Han Zhou, Xingchen Wan, Caiqi Zhang, Anna Korhonen, Ivan Vulic
2024	J	`jnl`	Atomic Calibration of LLMs in Long-Form Generations. CoRR Caiqi Zhang, Ruihan Yang, Zhisong Zhang, Xinting Huang, Sen Yang, Dong Yu, Nigel Collier
2024	J	`jnl`	Can Large Language Models Generate High-quality Patent Claims? CoRR Lekang Jiang, Caiqi Zhang, Pascal A. Scherz, Stephan Goetz
2024	J	`jnl`	Conformity in Large Language Models. CoRR Xiaochen Zhu, Caiqi Zhang, Tom Stafford, Nigel Collier, Andreas Vlachos
2024	A*	`conf`	Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. EMNLP Caiqi Zhang, Zhijiang Guo, Andreas Vlachos
2024	J	`jnl`	Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. CoRR Caiqi Zhang, Zhijiang Guo, Andreas Vlachos
2024	A*	`conf`	LUQ: Long-text Uncertainty Quantification for LLMs. EMNLP Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier
2024	J	`jnl`	LUQ: Long-text Uncertainty Quantification for LLMs. CoRR Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier
2024	—	`conf`	Language is All a Graph Needs. EACL (Findings) Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
2024	J	`jnl`	LoGU: Long-form Generation with Uncertainty Expressions. CoRR Ruihan Yang, Caiqi Zhang, Zhisong Zhang, Xinting Huang, Sen Yang, Nigel Collier, Dong Yu, Deqing Yang
2024	A*	`conf`	TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. EMNLP Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulic
2024	J	`jnl`	TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. CoRR Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulic
2023	J	`jnl`	Hybrid Learning for Mobile Ad-Hoc Distancing/Positioning Using Bluetooth Low Energy. IEEE Internet Things J. Yik Him Ho, Yunfei Liu, Caiqi Zhang, Yerkezhan Sartayeva, Henry C. B. Chan
2023	—	`conf`	Learning Action Conditions from Instructional Manuals for Instruction Understanding. ACL (1) Te-Lin Wu, Caiqi Zhang, Qingyuan Hu, Alexander Spangher, Nanyun Peng
2023	J	`jnl`	Natural Language is All a Graph Needs. CoRR Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
2023	J	`jnl`	Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations. CoRR Lekang Jiang, Caiqi Zhang, Farimah Poursafaei, Shenyang Huang
2022	J	`jnl`	Learning Action Conditions from Instructional Manuals for Instruction Understanding. CoRR Te-Lin Wu, Caiqi Zhang, Qingyuan Hu, Alexander Spangher, Nanyun Peng
2021	J	`jnl`	BlueTrk+ for Tracking Presence and Position. IEEE Commun. Mag. Yik Him Ho, Yun Fei Liu, Caiqi Zhang, Henry C. B. Chan
2021	A*	`conf`	PRUID: Practical User Interface Distribution for Multi-surface Computing. DAC Menglong Cui, Mingsong Lv, Qingqiang He, Caiqi Zhang, Chuancai Gu, Tao Yang, Nan Guan