Summary of Generative Prompt Internalization, by Haebin Shin et al.
Generative Prompt Internalizationby Haebin Shin, Lei Ji, Yeyun Gong, Sungdong Kim, Eunbi Choi, Minjoon SeoFirst…
Generative Prompt Internalizationby Haebin Shin, Lei Ji, Yeyun Gong, Sungdong Kim, Eunbi Choi, Minjoon SeoFirst…
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domainby Hangyul Yoon,…
ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?by Zheng Hui, Zhaoxiao Guo, Hang…
Adversarial Prompt Distillation for Vision-Language Modelsby Lin Luo, Xin Wang, Bojia Zi, Shihao Zhao, Xingjun…
Robust Planning with Compound LLM Architectures: An LLM-Modulo Approachby Atharva Gundawar, Karthik Valmeekam, Mudit Verma,…
Universal and Context-Independent Triggers for Precise Control of LLM Outputsby Jiashuo Liang, Guancheng Li, Yang…
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learningby Yuze Liu, Tingjie Liu, Tiehua…
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modelingby Daehoon Gwak, Junwoo Park,…
Evaluating the Prompt Steerability of Large Language Modelsby Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy,…
ColorEdit: Training-free Image-Guided Color editing with diffusion modelby Xingxi Yin, Zhi Li, Jingfeng Zhang, Chenglin…