3 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Readable but Not Controllable: Neuron-Level Evidence for Medical LLM Hallucination
Vijay Vankadaru, Asha Matthews, Tanya Roosta +1
Hallucination remains one of the central obstacles to deploying medical LLMs. Yet, even when hallucination can be detected, it is still unclear whether the internal representations…
The Order Effect: Investigating Prompt Sensitivity to Input Order in LLMs
Bryan Guan, Tanya Roosta, Peyman Passban +1
As large language models (LLMs) become integral to diverse applications, ensuring their reliability under varying input conditions is crucial. One key issue affecting this reliabil…
What is Lost in Knowledge Distillation?
Manas Mohanty, Tanya Roosta, Peyman Passban
Deep neural networks (DNNs) have improved NLP tasks significantly, but training and maintaining such networks could be costly. Model compression techniques, such as, knowledge dist…