5 papers
PRISM: Prompt Refinement via Image-grounded Self-rewarding Mechanism for Text-to-Image Generation
Guo Tang, HongJie Luo, Tianxu Wang +2
Text-to-image generation models can synthesize high-quality images from natural language descriptions, but their performance remains highly sensitive to prompt formulation. Existin…
Enhancing Jailbreak Attacks on LLMs via Persona Prompts
Zheng Zhang, Peilin Zhao, Deheng Ye +1
Jailbreak attacks aim to exploit large language models (LLMs) by inducing them to generate harmful content, thereby revealing their vulnerabilities. Understanding and addressing th…
Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model
SII-GAIR, Sand. ai, : +43
We present daVinci-MagiHuman, an open-source audio-video generative foundation model for human-centric generation. daVinci-MagiHuman jointly generates synchronized video and audio…
MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind
Zheng Zhang, Nuoqian Xiao, Qi Chai +2
Large Language Model (LLM) agents have demonstrated impressive capabilities in social deduction games (SDGs) like Werewolf, where strategic reasoning and social deception are essen…
An Empirical Study on Prompt Compression for Large Language Models
Zheng Zhang, Jinyi Li, Yihuai Lan +2
Prompt engineering enables Large Language Models (LLMs) to perform a variety of tasks. However, lengthy prompts significantly increase computational complexity and economic costs.…