Foundation models meet visualizations: Challenges and opportunities
Recent studies have indicated that foundation models, such as BERT and GPT, excel at
adapting to various downstream tasks. This adaptability has made them a dominant force in …
adapting to various downstream tasks. This adaptability has made them a dominant force in …
[PDF][PDF] Natural language processing (NLP) in the extraction of clinical information from electronic health records (EHRs) for cancer prognosis
Abstracts: NLP has become an important tool in healthcare, particularly in extracting clinical
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …
Visual analytics for machine learning: A data perspective survey
The past decade has witnessed a plethora of works that leverage the power of visualization
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …
Multilingual personalized hashtag recommendation for low resource Indic languages using graph-based deep neural network
Users from different cultures and backgrounds often feel comfortable expressing their
thoughts on trending topics by generating content in their regional languages. Recently …
thoughts on trending topics by generating content in their regional languages. Recently …
A unified interactive model evaluation for classification, object detection, and instance segmentation in computer vision
Existing model evaluation tools mainly focus on evaluating classification models, leaving a
gap in evaluating more complex models, such as object detection. In this paper, we develop …
gap in evaluating more complex models, such as object detection. In this paper, we develop …
CommonsenseVIS: Visualizing and understanding commonsense reasoning capabilities of natural language models
Recently, large pretrained language models have achieved compelling performance on
commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the …
commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the …
An empirical evaluation of the gpt-4 multimodal language model on visualization literacy tasks
Large Language Models (LLMs) like GPT-4 which support multimodal input (ie, prompts
containing images in addition to text) have immense potential to advance visualization …
containing images in addition to text) have immense potential to advance visualization …
A causality inspired framework for model interpretation
C Wu, X Wang, D Lian, X ** machine translation practitioners prioritize model improvements
Machine learning (ML) models can fail in unexpected ways in the real world, but not all
model failures are equal. With finite time and resources, ML practitioners are forced to …
model failures are equal. With finite time and resources, ML practitioners are forced to …
The future of standardised assessment: Validity and trust in algorithms for assessment and scoring
C Aloisi - European Journal of Education, 2023 - Wiley Online Library
This article considers the challenges of using artificial intelligence (AI) and machine learning
(ML) to assist high‐stakes standardised assessment. It focuses on the detrimental effect that …
(ML) to assist high‐stakes standardised assessment. It focuses on the detrimental effect that …