13 citations · 41 across the 5 of their papers we have counts for
6 papers
HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment
Kenan Alkiek, Moontae Lee, David Jurgens +1
Running a language model locally offers advantages in privacy, latency, and cost, but local hardware fits only small models, which are less capable than frontier models. The usual…
Defending against Insertion-based Textual Backdoor Attacks via Attribution
Jiazhao Li, Zhuofeng Wu, Wei Ping +2
Textual backdoor attack, as a novel attack model, has been shown to be effective in adding a backdoor to the model during training. Defending against such backdoor attacks has beco…
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger
Jiazhao Li, Yijin Yang, Zhuofeng Wu +2
Textual backdoor attacks pose a practical threat to existing systems, as they can compromise the model by inserting imperceptible triggers into inputs and manipulating labels in th…
IDPG: An Instance-Dependent Prompt Generation Method
Zhuofeng Wu, Sinong Wang, Jiatao Gu +4
Prompt tuning is a new, efficient NLP transfer learning paradigm that adds a task-specific prompt in each input instance during the model training stage. It freezes the pre-trained…
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions
Jiazhao Li, Corey Lester, Xinyan Zhao +3
The language used by physicians and health professionals in prescription directions includes medical jargon and implicit directives and causes much confusion among patients. Human…
LIREx: Augmenting Language Inference with Relevant Explanation
Xinyan Zhao, V. G. Vinod Vydiswaran
Natural language explanations (NLEs) are a special form of data annotation in which annotators identify rationales (most significant text tokens) when assigning labels to data inst…