Bibo Cai

According to our database, Bibo Cai authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

The Tool-Overuse Illusion: Why Does LLM Prefer External Tools over Internal Knowledge?

Yirong Zeng, Shen You, Yufei Liu, Qunyao Du, Xiao Ding, Yutai Hou, Yuxian Wang, Wu Ning, Haonan Song, Dandan Tu, Bibo Cai, Ting Liu

CoRR, April, 2026

Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration.

Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu

CoRR, January, 2026

MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization.

Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu

CoRR, January, 2026

Precision over Diversity: High-Precision Reward Generalizes to Robust Instruction Following.

Yirong Zeng, Yufei Liu, Xiao Ding, Yutai Hou, Yuxian Wang, Haonan Song, Wu Ning, Dandan Tu, Qixun Zhang, Bibo Cai, Yuxiang He, Ting Liu

CoRR, January, 2026

Human cognitive process aligned rumor detection with small language models enhanced large language models.

Yirong Zeng, Xiao Ding, Bibo Cai, Bing Qin, Ting Liu

Inf. Process. Manag., 2026

2025

x-ECON: Explainable Event-Consumption Commonsense Reasoning.

Xiao Ding, Bibo Cai, Xue Li, Ting Liu, Bing Qin

IEEE Trans. Big Data, June, 2025

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning.

Yang He, Xiao Ding, Bibo Cai, Yufei Zhang, Kai Xiong, Zhouhao Sun, Bing Qin, Ting Liu

CoRR, May, 2025

Exploring Large Language Models for Effective Rumor Detection on Social Media.

Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin

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

ExpeTrans: LLMs Are Experiential Transfer Learners.

Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin, Ting Liu

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

2024

Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation.

Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning.

Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic.

Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019

Learning Multi-Domain Adversarial Neural Networks for Text Classification.

Xiao Ding, Qiankun Shi, Bibo Cai, Ting Liu, Yanyan Zhao, Qiang Ye

IEEE Access, 2019

2018

Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification.

Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018