10 citations · 11 across the 11 of their papers we have counts for
13 papers · 1 filter
From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs
Yi Zhang, Julia Rayz
We introduce a Bloom-aligned framework for measuring educational control in Large Language Models (LLMs): the ability to preserve a task's instructional intent while shifting its c…
A Fuzzy Evaluation of Sentence Encoders on Grooming Risk Classification
Geetanjali Bihani, Julia Rayz
With the advent of social media, children are becoming increasingly vulnerable to the risk of grooming in online settings. Detecting grooming instances in an online conversation po…
Evaluating Language Models on Grooming Risk Estimation Using Fuzzy Theory
Geetanjali Bihani, Tatiana Ringenberg, Julia Rayz
Encoding implicit language presents a challenge for language models, especially in high-risk domains where maintaining high precision is important. Automated detection of online ch…
The Reliability Paradox: Exploring How Shortcut Learning Undermines Language Model Calibration
Geetanjali Bihani, Julia Rayz
The advent of pre-trained language models (PLMs) has enabled significant performance gains in the field of natural language processing. However, recent studies have found PLMs to s…
A Property Induction Framework for Neural Language Models
Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger
To what extent can experience from language contribute to our conceptual knowledge? Computational explorations of this question have shed light on the ability of powerful neural la…
On Information Hiding in Natural Language Systems
Geetanjali Bihani, Julia Taylor Rayz
With data privacy becoming more of a necessity than a luxury in today's digital world, research on more robust models of privacy preservation and information security is on the ris…