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Junxian Huang · Ruichu Cai · Juntao Fang · Hao Zhu · Boyan Xu · Weilin Chen · Zijian Li · Shenghua Gao
Yang Shi · Yifeng Xie · Minzhe Guo · Liangsi Lu · Mingxuan Huang · Jingchao Wang · Zhihong Zhu · Boyan Xu · Zhiqi Huang
Recent advances in Vision-Language Models (VLMs) have improved performance in multi-modal learning, raising the question of whether these models truly understand the content they process. Crucially, can VLMs detect when a reasoning process is wrong and identify its error type? To answer this, we...
Le Zhou · Feng Yao · Fengcai Qiao · Bo Xu · Fangyuan Wang · Boyan Xu
Recent advances in Large Reasoning Models (LRMs) trained with Long Chain-of-Thought have demonstrated remarkable capabilities in code generation and mathematical reasoning. However, their potential in multi-turn Text-to-SQL tasks remains largely underexplored. Existing approaches typically rely o...
Ruichu Cai · Juntao Gan · Miao Mai · Zhifeng Hao · Boyan Xu
Zero-shot Named Entity Recognition (ZS-NER) remains brittle under domain and schema shifts, where unseen label definitions often misalign with a large language model’s (LLM’s) intrinsic semantic organization. As a result, directly mapping entity mentions to fine-grained target labels can induce s...
Zhifeng Hao · Zhongjie Chen · Junhao Lu · Shengyin Yu · Guimin Hu · Keli Zhang · Ruichu Cai · Boyan Xu
Event Causality Identification (ECI) requires models to determine whether a given pair of events in a context exhibits a causal relationship. While Large Language Models (LLMs) have demonstrated strong performance across various NLP tasks, their effectiveness in ECI remains limited due to biases...