Summary of Sharpness-aware Black-box Optimization, by Feiyang Ye et al.
Sharpness-Aware Black-Box Optimizationby Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor TsangFirst…
Sharpness-Aware Black-Box Optimizationby Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor TsangFirst…
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Expertsby Fanqi Yan, Huy…
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferabilityby Tsz Ting Chung, Leyang Cui, Lemao…
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecastingby Md Kowsher, Md. Shohanur Islam Sobuj,…
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixturesby Wei Shen, Ruida…
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMsby Shuo Li, Tao Ji,…
Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translationby Qizhang Li, Xiaochen Yang, Wangmeng…
AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignmentby Pankayaraj Pathmanathan, Udari Madhushani Sehwag,…
Tree of Attributes Prompt Learning for Vision-Language Modelsby Tong Ding, Wanhua Li, Zhongqi Miao, Hanspeter…
3DS: Decomposed Difficulty Data Selection’s Case Study on LLM Medical Domain Adaptationby Hongxin Ding, Yue…