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Xinrong Chen · Xu Chu · Yingmin Qiu · Hengyuan Zhang · Jing Xiong · Shiyu Tang · Shuai Liu · Shaokang Yang · Cheng Yang · Hayden Kwok-Hay So · Ngai Wong
Xu Chu · Guanyu Wang · Zhijie Tan · Xinrong Chen · Ziyu Li · Tong Mo · Weiping Li
Large Language Models (LLMs) suffer from order bias, where their performance is affected by the arrangement order of input elements. This unfairness limits the model’s applications in scenarios such as in-context learning and Retrieval-Augmented Generation (RAG). Recent studies attempt to obtain...
Guanyu Wang · Xu Chu · Zhijie Tan · Xinrong Chen · Tong Mo · Weiping Li
Graph-related tasks are traditionally addressed with Graph Neural Networks (GNNs) or graph transformers, but their task-specific training limits generalization. Large Language Models (LLMs) offer stronger generalization, yet encoding graphs as one-dimensional text struggles to capture multi-hop d...