21 citations · 50 across the 9 of their papers we have counts for
11 papers
HypRQ-VAE: Hyperbolic Item Indexing for Long-Tail-Aware Generative Recommender Systems
Longfeng Wu, Tong Zeng, Giovanni Seni +8
Sequential recommender systems model user behavior as item ID sequences, while recent generative methods cast recommendation as a language modeling task using large language models…
Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search
Longfeng Wu, Yao Zhou, Tong Zeng +5
Recommender systems are vital in helping users navigate vast amounts of information, offering personalized suggestions and effective explanations for these recommendations. While p…
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…
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…
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…
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…
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…
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…
Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)
Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan +4
Missing values, irregularly collected samples, and multi-resolution signals commonly occur in multivariate time series data, making predictive tasks difficult. These challenges are…
Group Affect Prediction Using Multimodal Distributions
Saqib Shamsi, Bhanu Pratap Singh Rawat, Manya Wadhwa
We describe our approach towards building an efficient predictive model to detect emotions for a group of people in an image. We have proposed that training a Convolutional Neural…
Can Evolutionary Sampling Improve Bagged Ensembles?
Harsh Nisar, Bhanu Pratap Singh Rawat
Perturb and Combine (P&C) group of methods generate multiple versions of the predictor by perturbing the training set or construction and then combining them into a single predicto…