2 papers
cs.IR2026
SteerEval: A Framework for Evaluating Steerability with Natural Language Profiles for Recommendation
Joyce Zhou, Weijie Zhou, Doug Turnbull +1
Natural-language user profiles have recently attracted attention not only for improved interpretability, but also for their potential to make recommender systems more steerable. By…
cs.LG2025
Prompt Curriculum Learning for Efficient LLM Post-Training
Zhaolin Gao, Joongwon Kim, Wen Sun +4
We introduce Prompt Curriculum Learning (PCL), a lightweight reinforcement learning (RL) algorithm that selects intermediate-difficulty prompts using a learned value model to post-…