activity
20192022
most citedMembership Inference Attack Susceptibility of Clinical Language Models

21 citations · 25 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CL2022

Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding

Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat +2

Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD codes to a medical note with average length of 3,000+ tokens. This task is challenging d…

cs.LG2022

ScAN: Suicide Attempt and Ideation Events Dataset

Bhanu Pratap Singh Rawat, Samuel Kovaly, Wilfred R. Pigeon +1

Suicide is an important public health concern and one of the leading causes of death worldwide. Suicidal behaviors, including suicide attempts (SA) and suicide ideations (SI), are…

cs.CL202121 cited

Membership Inference Attack Susceptibility of Clinical Language Models

Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu

Deep Neural Network (DNN) models have been shown to have high empirical privacy leakages. Clinical language models (CLMs) trained on clinical data have been used to improve perform…

cs.CL2020

Conversational Machine Comprehension: a Literature Review

Somil Gupta, Bhanu Pratap Singh Rawat, Hong Yu

Conversational Machine Comprehension (CMC), a research track in conversational AI, expects the machine to understand an open-domain natural language text and thereafter engage in a…

cs.AI2020

Entity-Enriched Neural Models for Clinical Question Answering

Bhanu Pratap Singh Rawat, Wei-Hung Weng, So Yeon Min +2

We explore state-of-the-art neural models for question answering on electronic medical records and improve their ability to generalize better on previously unseen (paraphrased) que…

cs.CL2020

Continual Domain-Tuning for Pretrained Language Models

Subendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat +1

Pre-trained language models (LM) such as BERT, DistilBERT, and RoBERTa can be tuned for different domains (domain-tuning) by continuing the pre-training phase on a new target domai…