Search Results for author:
Found 6 papers, 3 papers with code
When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training
Further pre-training language models on in-domain data (domain-adaptive pre-training, DAPT) or task-relevant data (task-adaptive pre-training, TAPT) before fine-tuning has been shown to improve downstream tasks’ performances.
Personalized Response Generation with Tensor Factorization
Personalized response generation is essential for more human-like conversations.
VividMed: Vision Language Model with Versatile Visual Grounding for Medicine
For instance, most VLMs rely on a single method of visual grounding, whereas complex medical tasks demand more versatile approaches.
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning
In this paper, we propose a neural network model to address multiple tasks jointly upon the input of 3D protein structures.
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks
In this work, we propose a universal foundation model for medical image analysis that processes images with heterogeneous spatial properties using a unified structure.
Overview of the Ninth Dialog System Technology Challenge: DSTC9
Interactive evaluation of dialog, and 4.
