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Found 4 papers, 3 papers with code
Bag of Tricks for Inference-time Computation of LLM Reasoning
In this paper, we investigate and benchmark diverse inference-time computation strategies across reasoning tasks of varying complexity.
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
Implicit feedback, often used to build recommender systems, unavoidably confronts noise due to factors such as misclicks and position bias.
Harnessing Large Language Models for Text-Rich Sequential Recommendation
Recent advances in Large Language Models (LLMs) have been changing the paradigm of Recommender Systems (RS).
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
The rapidly changing landscape of technology and industries leads to dynamic skill requirements, making it crucial for employees and employers to anticipate such shifts to maintain a competitive edge in the labor market.
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