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cs.LG2026
Noise Your Prompt: Noising Conditioning Tokens in Continuous Diffusion Language Models
Justin Jung
We revisit a standard accepted practice in the continuous diffusion language model literature of fixing conditioning prompt tokens clean during training. We make a very simple modi…
cs.LG2025
Guided Discrete Diffusion for Constraint Satisfaction Problems
Justin Jung
We propose discrete diffusion guidance for constraint satisfaction problems (CSPs) and demonstrate its ability to solve Sudoku puzzles without supervision.
cs.LG2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis, Justin Jung, Falcon Dai +1
Exploration in sparse-reward reinforcement learning is difficult due to the requirement of long, coordinated sequences of actions in order to achieve any reward. Moreover, in conti…