3 papers
cs.CV2026
Memorization In Stable Diffusion Is Unexpectedly Driven by CLIP Embeddings
Bumjun Kim, Albert No
Understanding how textual embeddings contribute to memorization in text-to-image diffusion models is crucial for both interpretability and safety. This paper investigates an unexpe…
cs.AI2025
Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs
Bumjun Kim, Dongjae Jeon, Dueun Kim +2
Diffusion large language models (dLLMs) have emerged as a promising alternative to autoregressive models, offering flexible generation orders and strong performance on complex reas…
cs.CL2024
Small Language Models are Equation Reasoners
Bumjun Kim, Kunha Lee, Juyeon Kim +1
Chain-of-Thought (CoT) reasoning has enabled Large Language Model (LLM) to achieve remarkable performance in various NLP tasks, including arithmetic problem-solving. However, this…