Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approachby Jiwei Guan, Tianyu…
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learningby Kai Xiong, Xiao…
Towards Analyzing and Mitigating Sycophancy in Large Vision-Language Modelsby Yunpu Zhao, Rui Zhang, Junbin Xiao,…
Reasoning Beyond Bias: A Study on Counterfactual Prompting and Chain of Thought Reasoningby Kyle Moore,…
Large Language Models Prompting With Episodic Memoryby Dai Do, Quan Tran, Svetha Venkatesh, Hung LeFirst…
Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Modelsby Shachi…
Long Input Benchmark for Russian Analysisby Igor Churin, Murat Apishev, Maria Tikhonova, Denis Shevelev, Aydar…
PMoE: Progressive Mixture of Experts with Asymmetric Transformer for Continual Learningby Min Jae Jung, JooHee…
LLMs’ Understanding of Natural Language Revealedby Walid S. SabaFirst submitted to arxiv on: 29 Jul…
PEFT-U: Parameter-Efficient Fine-Tuning for User Personalizationby Christopher Clarke, Yuzhao Heng, Lingjia Tang, Jason MarsFirst submitted…