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Michael Stephen Saxon

University of California, Santa Barbara

29 papers hereh-index 151.2k citations47 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author18
  • last author1

Across the 27 of 29 papers where every author was matched, so the position is known.

fields
  • cs.CL19
  • cs.CV2
  • cs.CY2
  • cs.LG2
  • eess.AS2
  • cs.AI1
affiliations
  • University of California, Santa Barbara
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedLarge Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning

27 citations · 105 across the 27 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

3 papers · 2 filters

cs.CL2024

VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs

Qiucheng Wu, Handong Zhao, Michael Saxon +4

Vision language models (VLMs) are an exciting emerging class of language models (LMs) that have merged classic LM capabilities with those of image processing systems. However, the…

cs.CL2024

Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts

Aditya Sharma, Michael Saxon, William Yang Wang

We present LoCoVQA, a dynamic benchmark generator for evaluating long-context extractive reasoning in vision language models (VLMs). LoCoVQA augments test examples for mathematical…

cs.CL2024

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts

Michael Saxon, Yiran Luo, Sharon Levy +3

Benchmarks of the multilingual capabilities of text-to-image (T2I) models compare generated images prompted in a test language to an expected image distribution over a concept set.…

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