Search Results for author:
Found 7 papers, 1 papers with code
Investigating social alignment via mirroring in a system of interacting language models
In this paper, we introduce a simple computational framework that enables studying the effect of mirroring behavior on alignment in multi-agent systems.
Embedding-based statistical inference on generative models
We demonstrate that using the perspective space as the basis of a notion of "similar" is effective for multiple model-level inference tasks.
Tracking the perspectives of interacting language models
Large language models (LLMs) are capable of producing high quality information at unprecedented rates.
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering
Medical question-answering benchmarks rely on assumptions consistent with quantifying LLM performance but that may not hold in the open world of the clinic.
A Statistical Turing Test for Generative Models
Implicit in these efforts is an assumption that the generation properties of a human are different from that of the machine.
Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities
Information-theoretic quantities, such as conditional entropy and mutual information, are critical data summaries for quantifying uncertainty.
Vertex Classification on Weighted Networks
This paper proposes a discrimination technique for vertices in a weighted network.
