1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2025
DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
Cathy Jiao, Yijun Pan, Emily Xiao +6
Data attribution methods quantify the influence of training data on model outputs and are becoming increasingly relevant for a wide range of LLM research and applications, includin…
cs.CV2025
The in-context inductive biases of vision-language models differ across modalities
Kelsey Allen, Ishita Dasgupta, Eliza Kosoy +1
Inductive biases are what allow learners to make guesses in the absence of conclusive evidence. These biases have often been studied in cognitive science using concepts or categori…
cs.CV2025★ 1 cited
Decoupling the components of geometric understanding in Vision Language Models
Eliza Kosoy, Annya Dahmani, Andrew K. Lampinen +4
Understanding geometry relies heavily on vision. In this work, we evaluate whether state-of-the-art vision language models (VLMs) can understand simple geometric concepts. We use a…