research
∙
09/05/2023
Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering
Large-scale language models (LLMs), such as ChatGPT, are capable of gene...
share
research
∙
11/22/2022
YZR-net : Self-supervised Hidden representations Invariant to Transformations for profanity detection
On current e-learning platforms, live classes are an important tool that...
research
∙
08/20/2022
Looking For A Match: Self-supervised Clustering For Automatic Doubt Matching In e-learning Platforms
Recently, e-learning platforms have grown as a place where students can ...
research
∙
12/05/2021
An adaptive dynamical low rank method for the nonlinear Boltzmann equation
Efficient and accurate numerical approximation of the full Boltzmann equ...
research
∙
09/24/2021
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems
Volt-var control (VVC) is the problem of operating power distribution sy...
research
∙
09/17/2021
Soft Actor-Critic With Integer Actions
Reinforcement learning is well-studied under discrete actions. Integer a...
research
∙
09/08/2021
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems
We introduce PowerGym, an open-source reinforcement learning environment...
research
∙
08/31/2021
Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge
Mitotic figure count is an important marker of tumor proliferation and h...
research
∙
05/13/2020
An asymptotic-preserving dynamical low-rank method for the multi-scale multi-dimensional linear transport equation
We introduce a dynamical low-rank method to reduce the computational com...
research
∙
04/16/2020