Africa
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
We present a novel language-driven ordering alignment method for ordinal classification.
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
To bridge this gap, we introduce the BABILong benchmark, designed to test language models' ability to reason across facts distributed in extremely
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models Angéline Pouget
Second, pretraining with global, unfiltered data before fine-tuning on English content can improve cultural understanding without sacrificing performance on said popular benchmarks.
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
In image classification, it is common to utilize a pretrained model to extract meaningful features of the input images, and then to train a classifier on top of it to make predictions for any downstream task.
