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Found 5 papers, 2 papers with code
Instruct Large Language Models to Generate Scientific Literature Survey Step by Step
Specifically, we design prompts to guide LLMs to sequentially generate the title, abstract, hierarchical headings, and the main content of the literature survey.
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation
Specifically, we first propose prototypes (cluster centroids) as a latent space to ensure consistency across different augmentations from the origin graph, aiming to eliminate the need for random sampling of contrastive pairs.
On the Opportunities of Green Computing: A Survey
To tackle the challenges of computing resources and environmental impact of AI, Green Computing has become a hot research topic.
Distributional Reinforcement Learning with Online Risk-awareness Adaption
The use of reinforcement learning (RL) in practical applications requires considering sub-optimal outcomes, which depend on the agent's familiarity with the uncertain environment.
Distributional Reinforcement Learning
reinforcement-learning
+2
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
We call the collected dataset the Human ChatGPT Comparison Corpus (HC3).
