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cs.CL2026
Using LLM-as-a-Judge/Jury to Advance Scalable, Clinically-Validated Safety Evaluations of Model Responses to Users Demonstrating Psychosis
May Lynn Reese, Markela Zeneli, Mindy Ng +3
General-purpose Large Language Models (LLMs) are becoming widely adopted by people for mental health support. Yet emerging evidence suggests there are significant risks associated…
cs.CL2025
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
Jasper Timm, Chetan Talele, Jacob Haimes
Large Language Models (LLMs) are becoming increasingly persuasive, demonstrating the ability to personalize arguments in conversation with humans by leveraging their personal data.…
cs.CL2024
View From Above: A Framework for Evaluating Distribution Shifts in Model Behavior
Tanush Chopra, Michael Li, Jacob Haimes
When large language models (LLMs) are asked to perform certain tasks, how can we be sure that their learned representations align with reality? We propose a domain-agnostic framewo…