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Found 3 papers, 1 papers with code
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
We train a suite of multimodal foundation models (MMFM) using the popular LLaVA framework with the recently released Gemma family of large language models (LLMs).
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
Motivated by this discrepancy, we challenge the prevailing constrained evaluation paradigm for values and opinions in LLMs and explore more realistic unconstrained evaluations.
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
In most scenarios, CSS researchers first obtain labels for documents and then explain labels using interpretable regression analyses in the second step.
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