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BumJun Kim

2 accepted papers

2026

Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs

ICLR 2026poster

Diffusion large language models (dLLMs) have emerged as a promising alternative to autoregressive models, offering flexible generation orders and strong performance on complex reasoning tasks. However, instruction-tuned dLLMs exhibit a critical vulnerability we term \<eos\> overflow: as allocated s…

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