Kenan Tang

@kenantang.bsky.social

CS PhD student at UCSB AI for healthcare / LLM writing assistants / Image Editing kenantang.github.io

AI agents can lead to an irreversible de-evolution of human knowledge📉 As shown in the video, agentic models drive a cycle of decay: when they edit images iteratively, they introduce invisible noise that accumulates until quality collapse. To quantify this decay, we built Banana100. 🧵1/2

Flux.1 Kontext [pro] failing on an image editing task. The task is to add a backpack onto this bench. 100% failure rate. None of the prompt-based models, including gpt4o and Gemini 2.5 Pro, have succeeded on this task.

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🧵 Our team just introduced SPICE, a novel image editing framework that significantly outperforms GPT-4o & Gemini 2.0 in single-step editing tests. Here’s why SPICE matters in AI-driven creative workflows: 👇

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🚨I too am on the job market‼️🤯 I'm searching for faculty positions/postdocs in multilingual/multicultural NLP, vision+language models, and eval for genAI! I'll be at #NeurIPS2024 presenting our work on meta-evaluation for text-to-image faithfulness! Let's chat there! Papers in🧵, see more: saxon.me

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