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CAPP-130: A Dataset of Chinese Application Privacy Policy Summarization and Interpretation
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Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
The setting described is summarized in Box A.
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Work done while visiting Harvard University.
Fight Back Against Jailbreaking via Prompt Adversarial Tuning Yichuan Mo1Y uji Wang 2 Zeming Wei 3 Yisen Wang 1,4 1
While Large Language Models (LLMs) have achieved tremendous success in various applications, they are also susceptible to jailbreaking attacks.
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization Roi Livni School of Electrical Engineering Tel Aviv University rlivni@tauex.tau.ac.il
But, also, it has become focus of study because it is one of few theoretical settings that exhibit overparameterized learning .
