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cs.LG2023
A Deep Reinforcement Learning Approach for Interactive Search with Sentence-level Feedback
Jianghong Zhou, Joyce C. Ho, Chen Lin +1
Interactive search can provide a better experience by incorporating interaction feedback from the users. This can significantly improve search accuracy as it helps avoid irrelevant…
cs.CL2023
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang +6
Although large language models (LLMs) have achieved significant success in various tasks, they often struggle with hallucination problems, especially in scenarios requiring deep an…