2 papers
cs.IR2025
How Fair is Your Diffusion Recommender Model?
Daniele Malitesta, Giacomo Medda, Erasmo Purificato +3
Diffusion-based learning has settled as a rising paradigm in generative recommendation, outperforming traditional approaches built upon variational autoencoders and generative adve…
cs.CL2024
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health
Vivek Kumar, Eirini Ntoutsi, Pushpraj Singh Rajawat +2
Large language models (LLMs) have shown promising capabilities in healthcare analysis but face several challenges like hallucinations, parroting, and bias manifestation. These chal…