565 citations · 658 across the 5 of their papers we have counts for
5 papers
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren +3
The ability to communicate uncertainty, risk, and limitation is crucial for the safety of large language models. However, current evaluations of these abilities rely on simple cali…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization
Berk Ekmekci, Eleanor Hagerman, Blake Howald
Risk mining technologies seek to find relevant textual extractions that capture entity-risk relationships. However, when high volume data sets are processed, a multitude of relevan…
A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation
Berk Ekmekci, Eleanor Hagerman, Blake Howald
We introduce a hybrid human-automated system that provides scalable entity-risk relation extractions across large data sets. Given an expert-defined keyword taxonomy, entities, and…
An Introduction to Programming for Bioscientists: A Python-based Primer
Berk Ekmekci, Charles E. McAnany, Cameron Mura
Computing has revolutionized the biological sciences over the past several decades, such that virtually all contemporary research in the biosciences utilizes computer programs. The…