1 citations · 1 across the 4 of their papers we have counts for
4 papers
World-To-Image: Grounding Text-to-Image Generation with Agent-Driven World Knowledge
Moo Hyun Son, Jintaek Oh, Sun Bin Mun +2
While text-to-image (T2I) models can synthesize high-quality images, their performance degrades significantly when prompted with novel or out-of-distribution (OOD) entities due to…
Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation
Jaechul Roh, Varun Gandhi, Shivani Anilkumar +1
Large Language Models (LLMs) have achieved remarkable success in tasks requiring complex reasoning, such as code generation, mathematical problem solving, and algorithmic synthesis…
R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model
Ali Naseh, Harsh Chaudhari, Jaechul Roh +3
DeepSeek recently released R1, a high-performing large language model (LLM) optimized for reasoning tasks. Despite its efficient training pipeline, R1 achieves competitive performa…
FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models
Jaechul Roh, Andrew Yuan, Jinsong Mao
Text-to-Image (T2I) diffusion models have rapidly advanced, enabling the generation of high-quality images that align closely with textual descriptions. However, this progress has…