research
∙
05/31/2023
Measuring the Robustness of Natural Language Processing Models to Domain Shifts
Large Language Models have shown promising performance on various tasks,...
share
research
∙
10/27/2022
Text2Model: Model Induction for Zero-shot Generalization Using Task Descriptions
We study the problem of generating a training-free task-dependent visual...
research
∙
09/02/2022
Domain Adaptation from Scratch
Natural language processing (NLP) algorithms are rapidly improving but o...
research
∙
06/01/2022
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions
Large pre-trained models are usually fine-tuned on downstream task data,...
research
∙
03/27/2022
Example-based Hypernetworks for Out-of-Distribution Generalization
While Natural Language Processing (NLP) algorithms keep reaching unprece...
research
∙
02/24/2022
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
Natural language processing (NLP) algorithms have become very successful...
research
∙
10/24/2021
Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead
Goal oriented dialogue systems have become a prominent customer-care int...
research
∙
02/24/2021
PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains
Natural Language Processing algorithms have made incredible progress rec...
research
∙
10/06/2020
Semantically Driven Sentence Fusion: Modeling and Evaluation
Sentence fusion is the task of joining related sentences into coherent t...
research
∙
06/16/2020
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models
Pivot-based neural representation models have lead to significant progre...
research
∙
01/31/2019
