2 papers
cs.IR2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation
Keqin Bao, Jizhi Zhang, Yang Zhang +3
Adapting Large Language Models (LLMs) for recommendation requires careful consideration of the decoding process, given the inherent differences between generating items and natural…
math.OC2024
A Vectorized Positive Semidefinite Penalty Method for Unconstrained Binary Quadratic Programming
Xinyue Huo, Ran Gu
The unconstrained binary quadratic programming (UBQP) problem is a class of problems of significant importance in many practical applications, such as in combinatorial optimization…