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Found 6 papers, 2 papers with code
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
In the fast-paced financial domain, accurate and up-to-date information is critical to addressing ever-evolving market conditions.
Sampling Bag of Views for Open-Vocabulary Object Detection
Our approach groups contextually related ``concepts'' into a bag and adjusts the scale of concepts within the bag for more effective embedding alignment.
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
Our evaluation protocols measure image hallucination by testing if images from existing TTI models can correctly respond to these questions.
Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation
The advent of large language models (LLMs) has opened up new opportunities in the field of mobile task automation.
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
As a result, K-prune shows significant accuracy improvements up to 58. 02%p higher F1 score compared to existing retraining-free pruning algorithms under a high compression rate of 80% on the SQuAD benchmark without any retraining process.
A Queueing Model of Patient Flow for Stroke Networks to Estimate Acute Stroke Transfer Capacity
Data simulations of the model, using a base case and an expanded case, were performed to illustrate the effects of changing key parameters, such as transfer rates from PSCs and CSC Neuro-ICU capacity on overflow capacity.
