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Found 5 papers, 3 papers with code
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
Multi-modal Large Language Models (MLLMs) tuned on machine-generated instruction-following data have demonstrated remarkable performance in various multi-modal understanding and generation tasks.
Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model
Our approach employs a pretrained T2I diffusion model to generate each video frame in an autoregressive fashion.
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT
Tables are prevalent in real-world databases, requiring significant time and effort for humans to analyze and manipulate.
Interactive Data Synthesis for Systematic Vision Adaptation via LLMs-AIGCs Collaboration
Recent text-to-image generation models have shown promising results in generating high-fidelity photo-realistic images.
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
With most of the related literature in the era of LLM uncharted, we propose an automated workflow that copes with an upscaled number of queries/responses.
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