Santiago Viquez's picture

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Santiago Viquez

santiviquez

·

https://www.santiviquez.com/

AI & ML interests

ML @ NannyML. Writing "The Little Book of ML Metrics" at https://github.com/NannyML/The-Little-Book-of-ML-Metrics

Articles

I ran 580 model-dataset experiments to show that, even if you try very hard, it is almost impossible to know that a model is degrading just by looking at data drift results

Are your NLP models deteriorating post-deployment? Let’s use unlabelled data to find out

Organizations

santiviquez's activity

upvoted a paper 9 months ago

Fine-grained Hallucination Detection and Editing for Language Models

Paper • 2401.06855 • Published Jan 12 • 3

upvoted a collection 9 months ago

🔍 Daily Picks in Interpretability & Analysis of LMs

Outstanding research in interpretability and evaluation of language models, summarized • 80 items • Updated 10 days ago • 90

upvoted 2 papers 9 months ago

LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Paper • 2305.13711 • Published May 23, 2023 • 2

Corrective Retrieval Augmented Generation

Paper • 2401.15884 • Published Jan 29 • 3

upvoted a paper 10 months ago

We don't need no labels: Estimating post-deployment model performance under covariate shift without ground truth

Paper • 2401.08348 • Published Jan 16 • 1

upvoted a collection 10 months ago

MoEs papers reading list

60 items • Updated 5 days ago • 134