Lexin Zhou

According to our database, Lexin Zhou authored at least 13 papers between 2017 and 2025.

Collaborative distances:

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

2025

General Scales Unlock AI Evaluation with Explanatory and Predictive Power.

Lexin Zhou, Lorenzo Pacchiardi, Fernando Martínez-Plumed, Katherine M. Collins, Yael Moros-Daval, Seraphina Zhang, Qinlin Zhao, Yitian Huang, Luning Sun, Jonathan E. Prunty, Zongqian Li, Pablo Sánchez-García, Kexin Jiang Chen, Pablo A. M. Casares, Jiyun Zu, John Burden, Behzad Mehrbakhsh, David Stillwell, Manuel Cebrián, Jindong Wang, Peter Henderson, Sherry Tongshuang Wu, Patrick C. Kyllonen, Lucy Cheke, Xing Xie, José Hernández-Orallo

CoRR, March, 2025

Exploring the Choice Behavior of Large Language Models.

Weidong Wu, Qinlin Zhao, Hao Chen, Lexin Zhou, Defu Lian, Hong Xie

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

PredictaBoard: Benchmarking LLM Score Predictability.

Lorenzo Pacchiardi, Konstantinos Voudouris, Ben Slater, Fernando Martínez-Plumed, José Hernández-Orallo, Lexin Zhou, Wout Schellaert

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

2024

Larger and more instructable language models become less reliable.

Lexin Zhou, Wout Schellaert, Fernando Martínez-Plumed, Yael Moros-Daval, Cèsar Ferri, José Hernández-Orallo

Nat., October, 2024

Larger and more instructable language models become less reliable (code and data).

Lexin Zhou, Wout Schellaert, Fernando Martínez-Plumed, Yael Moros-Daval, Cèsar Ferri, José Hernández-Orallo

Dataset, September, 2024

Larger and more instructable language models become less reliable (code and data).

Lexin Zhou, Wout Schellaert, Fernando Martínez-Plumed, Yael Moros-Daval, Cèsar Ferri, José Hernández-Orallo

Dataset, September, 2024

Larger and More Instructable Language Models Turned Less Reliable (Code and Data).

Lexin Zhou, Wout Schellaert, Fernando Martínez-Plumed, Yael Moros-Daval, Cèsar Ferri, José Hernández-Orallo

Dataset, July, 2024

An LLM Feature-based Framework for Dialogue Constructiveness Assessment.

Lexin Zhou, Youmna Farag, Andreas Vlachos

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

2023

Predictable Artificial Intelligence.

Lexin Zhou, Pablo Antonio Moreno Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo

CoRR, 2023

2022

Aspect-based sentiment analysis via relation-aware collaborative learning.

Lexin Zhou, Wenzhong Yang, Ting Wang, Yongzhi Wu

J. Intell. Fuzzy Syst., 2022

Reject Before You Run: Small Assessors Anticipate Big Language Models.

Lexin Zhou, Fernando Martínez-Plumed, José Hernández-Orallo, Cèsar Ferri, Wout Schellaert

Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

A Framework for Categorising AI Evaluation Instruments.

Anthony G. Cohn, José Hernández-Orallo, Julius Sechang Mboli, Yael Moros-Daval, Zhiliang Xiang, Lexin Zhou

Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2017

An Efficient Double Auction Mechanism for On-Demand Transport Services in Cloud-Based Mobile Commerce.

Lexin Zhou, Haiping Xu

Proceedings of the 5th IEEE International Conference on Mobile Cloud Computing, 2017