A Systematic Analysis of Base Model Choice for Reward Modeling

16 May 2025

Papers citing "A Systematic Analysis of Base Model Choice for Reward Modeling"

5 / 5 papers shown

Title
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families Felipe Maia Polo Shivalika Singh Leshem Choshen Yuekai Sun Mikhail Yurochkin 234 8 0 09 Dec 2024
M-RewardBench: Evaluating Reward Models in Multilingual Settings Srishti Gureja Lester James V. Miranda Shayekh Bin Islam Rishabh Maheshwary Drishti Sharma Gusti Winata Nathan Lambert Sebastian Ruder Sara Hooker Marzieh Fadaee LRM 152 24 0 20 Oct 2024
Detecting Training Data of Large Language Models via Expectation Maximization Gyuwan Kim Yang Li Evangelia Spiliopoulou Jie Ma Miguel Ballesteros William Yang Wang MIALM 278 4 2 10 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown Xingzhou Lou Dong Yan Wei Shen Yuzi Yan Jian Xie Junge Zhang 220 28 0 01 Oct 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method Weichao Zhang Ruqing Zhang Jiafeng Guo Maarten de Rijke Yixing Fan Xueqi Cheng 156 16 0 23 Sep 2024