Abstract: Efficient graph processing is essential for a wide range of applications. Scalability and memory access patterns are still a challenge, especially with the Breadth-First Search algorithm.
REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.
Abstract: Currently, the popularity of large language models (LLMs) for instance, ChatGPT from OpenAI and Gemini from Google is increasing greatly in our lives, due to their unparalleled performance ...
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