14 citations · 16 across the 6 of their papers we have counts for
6 papers
Reflective Context Learning: Studying the Optimization Primitives of Context Space
Nikita Vassilyev, William Berrios, Ruowang Zhang +3
Generally capable agents must learn from experience in ways that generalize across tasks and environments. The fundamental problems of learning, including credit assignment, overfi…
LMUnit: Fine-grained Evaluation with Natural Language Unit Tests
Jon Saad-Falcon, Rajan Vivek, William Berrios +6
As language models become integral to critical workflows, assessing their behavior remains a fundamental challenge -- human evaluation is costly and noisy, while automated metrics…
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision
Nicholas Lui, Bryan Chia, William Berrios +2
Computer vision models have been known to encode harmful biases, leading to the potentially unfair treatment of historically marginalized groups, such as people of color. However,…
BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysis
Juan Trelles, Andrew Wentzel, William Berrios +1
In the biomedical domain, taxonomies organize the acquisition modalities of scientific images in hierarchical structures. Such taxonomies leverage large sets of correct image label…
Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language
William Berrios, Gautam Mittal, Tristan Thrush +2
We propose LENS, a modular approach for tackling computer vision problems by leveraging the power of large language models (LLMs). Our system uses a language model to reason over o…
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4
William Berrios, Arturo Deza
Modern high-scoring models of vision in the brain score competition do not stem from Vision Transformers. However, in this paper, we provide evidence against the unexpected trend o…