9 citations · 16 across the 11 of their papers we have counts for
3 papers · 1 filter
Measuring Reliability of Large Language Models through Semantic Consistency
Harsh Raj, Domenic Rosati, Subhabrata Majumdar
While large pretrained language models (PLMs) demonstrate incredible fluency and performance on many natural language tasks, recent work has shown that well-performing PLMs are ver…
AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language
Manu Joseph, Harsh Raj, Anubhav Yadav +1
Querying databases for the right information is a time consuming and error-prone task and often requires experienced professionals for the job. Furthermore, the user needs to have…
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
Laura Fee Nern, Harsh Raj, Maurice Georgi +1
As large-scale training regimes have gained popularity, the use of pretrained models for downstream tasks has become common practice in machine learning. While pretraining has been…