SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations
Large language models (LLMs) have attracted significant attention in recommendation
systems. Current LLM-based recommender systems primarily rely on supervised fine-tuning …
systems. Current LLM-based recommender systems primarily rely on supervised fine-tuning …
Large Language Models for Recommendation with Deliberative User Preference Alignment
While recent advancements in aligning Large Language Models (LLMs) with
recommendation tasks have shown great potential and promising performance overall …
recommendation tasks have shown great potential and promising performance overall …
Bidirectionally Guided Large Language Models for Consumer-Centric Personalized Recommendation
L Yu, P **ao, L Xu, S Kumari… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
With the increasing abundance of consumer electronics, consumers are facing the
challenge of information overload, making personalized recommendation systems (RSs) …
challenge of information overload, making personalized recommendation systems (RSs) …
Toward High-Performance LLM Serving: A Simulation-Based Approach for Identifying Optimal Parallelism
Serving Large Language Models (LLMs) efficiently has become crucial. LLMs are often
served with multiple devices using techniques like data, pipeline, and tensor parallelisms …
served with multiple devices using techniques like data, pipeline, and tensor parallelisms …
Recommender Systems in ambito medico: revisione sistematica e confronto pratico dei metodi di RS nei contesti clinici
G Michelazzi - 2024 - unire.unige.it
This thesis develops and evaluates a recommendation system (RS) for decision support in
healthcare, focusing on prioritizing laboratory tests using the MIMIC-IV dataset. Initially, a …
healthcare, focusing on prioritizing laboratory tests using the MIMIC-IV dataset. Initially, a …