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Aligning Diffusion Language Models via Unpaired Preference Optimization
Vaibhav Jindal, Hejian Sang, Chun-Mao Lai +2
Diffusion language models (dLLMs) are an emerging alternative to autoregressive (AR) generators, but aligning them to human preferences is challenging because sequence log-likeliho…
Diffusion Imitation from Observation
Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai +2
Learning from observation (LfO) aims to imitate experts by learning from state-only demonstrations without requiring action labels. Existing adversarial imitation learning approach…
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh +3
Imitation learning aims to learn a policy from observing expert demonstrations without access to reward signals from environments. Generative adversarial imitation learning (GAIL)…