2 papers
cs.CV2026
RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution
Yushuai Song, Weize Quan, Weining Wang +8
Recent advances in generative super-resolution (SR) have greatly improved visual realism, yet existing evaluation and optimization frameworks remain misaligned with human perceptio…
cs.CL2024
Beyond Scalar Reward Model: Learning Generative Judge from Preference Data
Ziyi Ye, Xiangsheng Li, Qiuchi Li +5
Learning from preference feedback is a common practice for aligning large language models~(LLMs) with human value. Conventionally, preference data is learned and encoded into a sca…