3 papers
cs.LG2026
Intrinsic Mutual Information as a Modulator for Preference Optimization
Peng Liao, Peijia Zheng, Lingbo Li +2
Offline preference optimization methods, such as Direct Preference Optimization (DPO), offer significant advantages in aligning Large Language Models (LLMs) with human values. Howe…
cs.IR2026
DenoiseRank: Learning to Rank by Diffusion Models
Ying Wang, Preslav Nakov, Shangsong Liang
Learning to rank (LTR) is one of the core tasks in Machine Learning. Traditional LTR models have made great progress, but nearly all of them are implemented from discriminative per…
cs.LG2024
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
Muhammad Arslan Manzoor, Ruihong Zeng, Dilshod Azizov +2
In the current era of rapidly growing digital data, evaluating the political bias and factuality of news outlets has become more important for seeking reliable information online.…