Bin Wu

According to our database, Bin Wu authored at least 21 papers between 2022 and 2026.

Collaborative distances:

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

2026

SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research.

Shuofei Qiao, Yunxiang Wei, Jiazheng Fan, Bin Wu, Busheng Zhang, Mengru Wang, Yuqi Zhu, Ningyu Zhang, Keyan Ding, Qiang Zhang, Huajun Chen

CoRR, May, 2026

AgentSearchBench: A Benchmark for AI Agent Search in the Wild.

Bin Wu, Arastun Mammadli, Xiaoyu Zhang, Emine Yilmaz

CoRR, April, 2026

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem.

Shuofei Qiao, Yunxiang Wei, Xuehai Wang, Bin Wu, Boyang Xue, Ningyu Zhang, Hossein A. Rahmani, Yanshan Wang, Qiang Zhang, Keyan Ding, Jeff Z. Pan, Huajun Chen, Emine Yilmaz

CoRR, February, 2026

Mitigating Context Interference for Reliable and Efficient Search Agents.

Boyang Xue, Bin Wu, Shuofei Qiao, Sheng Wang, Rui Wang, Yiming Du, Hongru Wang, Jeff Z. Pan, Emine Yilmaz, Kam-Fai Wong, Aldo Lipani

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

2025

PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs.

Xiao Fu, Hossein A. Rahmani, Bin Wu, Jerome Ramos, Emine Yilmaz, Aldo Lipani

CoRR, August, 2025

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems.

Jinyuan Fang, Yanwen Peng, Xi Zhang, Yingxu Wang, Xinhao Yi, Guibin Zhang, Yi Xu, Bin Wu, Siwei Liu, Zihao Li, Zhaochun Ren, Nikos Aletras, Xi Wang, Han Zhou, Zaiqiao Meng

CoRR, August, 2025

Entropy-Based Decoding for Retrieval-Augmented Large Language Models.

Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Empirical Analysis on User Profile in Personalized LLMs.

Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models.

Kester Wong, Bin Wu, Sahan Bulathwela, Mutlu Cukurova

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning.

Xiang Zhuang, Bin Wu, Jiyu Cui, Kehua Feng, Xiaotong Li, Huabin Xing, Keyan Ding, Qiang Zhang, Huajun Chen

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

A Joint Optimization Framework for Enhancing Efficiency of Tool Utilization in LLM Agents.

Bin Wu, Edgar Meij, Emine Yilmaz

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

2024

SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks.

Tianhao Li, Jingyu Lu, Chuangxin Chu, Tianyu Zeng, Yujia Zheng, Mei Li, Haotian Huang, Bin Wu, Zuoxian Liu, Kai Ma, Xuejing Yuan, Xingkai Wang, Keyan Ding, Huajun Chen, Qiang Zhang

CoRR, 2024

Preference Distillation for Personalized Generative Recommendation.

Jerome Ramos, Bin Wu, Aldo Lipani

CoRR, 2024

Understanding the Role of User Profile in the Personalization of Large Language Models.

Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz

CoRR, 2024

Instruction Tuning With Loss Over Instructions.

Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani

CoRR, 2024

Instruction Tuning With Loss Over Instructions.

Zhengxiang Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search.

Bin Wu, Zaiqiao Meng, Shangsong Liang

ACM Trans. Web, November, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.

Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adaptive Compositional Continual Meta-Learning.

Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang

Proceedings of the International Conference on Machine Learning, 2023

Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution.

Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Meta-Learning Helps Personalized Product Search.

Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022