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Found 10 papers, 5 papers with code
CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge
Our study reveals that CulturalTeaming's various modes of AI assistance support annotators in creating cultural questions, that modern LLMs fail at, in a gamified manner.
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights
Recognizing this demand, we present a chatbot to assist passengers and educate them about their rights.
Small But Funny: A Feedback-Driven Approach to Humor Distillation
The emergence of Large Language Models (LLMs) has brought to light promising language generation capabilities, particularly in performing tasks like complex reasoning and creative writing.
CASE: Commonsense-Augmented Score with an Expanded Answer Space
One of the major limitations of the basic score is that it treats all words as equally important.
COMET-M: Reasoning about Multiple Events in Complex Sentences
We propose COMET-M (Multi-Event), an event-centric commonsense model capable of generating commonsense inferences for a target event within a complex sentence.
What happens before and after: Multi-Event Commonsense in Event Coreference Resolution
Event coreference models cluster event mentions pertaining to the same real-world event.
VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge
In contrast to previous methods which inject knowledge from static knowledge bases, we investigate the incorporation of contextualized knowledge using Commonsense Transformer (COMET), an existing knowledge model trained on human-curated knowledge bases.
Ranked #8 on
Visual Question Answering (VQA)
on A-OKVQA
(DA VQA Score metric)
ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in COVID-19 Streamline Diagnostic
In the light of the COVID-19 pandemic, deep learning methods have been widely investigated in detecting COVID-19 from chest X-rays.
OpenML-Python: an extensible Python API for OpenML
It also provides functionality to conduct machine learning experiments, upload the results to OpenML, and reproduce results which are stored on OpenML.
Evaluation, Modeling and Optimization of Coverage Enhancement Methods of NB-IoT
The resource allocation and link adaptation in NS-3 are modified to comply with the new features of NB-IoT.
Networking and Internet Architecture
