Cai Ke — accepted AI-conference papers

2025

Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework

Cai Ke, Yiming Du, Bin Liang, Yifan Xiang, Lin Gui, Zhongyang Li +5

EMNLP 2025

Large language models (LLMs) have made significant breakthroughs in extracting useful information from conversation history to enhance the response in long-term conversations. Summarizing useful information from historical conversations has achieved remarkable performance, which, however, may introd

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2022

Prior-Bert and Multi-Task Learning for Target-Aspect-Sentiment Joint Detection

Cai Ke, Qingyu Xiong, Chao Wu, Zikai Liao, Hualing Yi

ICASSP 2022accepted

Aspect-Based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task and has become a significant task with real-world scenario value. The challenge of this task is how to generate an effective text representation and construct an end-to-end model that can simultaneously detect (target,…

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