1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
Hwanjun Song
Much of the alignment tuning literature is organized around optimization objectives, while the construction of alignment data is often treated implicitly. In this survey, we adopt…
cs.IR2025★ 1 cited
Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
Donghee Han, Hwanjun Song, Mun Yong Yi
Recent studies have explored integrating large language models (LLMs) into recommendation systems but face several challenges, including training-induced bias and bottlenecks from…
cs.CL2025
LLM-based User Profile Management for Recommender System
Seunghwan Bang, Hwanjun Song
The rapid advancement of Large Language Models (LLMs) has opened new opportunities in recommender systems by enabling zero-shot recommendation without conventional training. Despit…