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20232026
most citedIgnore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition

4 citations · 4 across the 2 of their papers we have counts for

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cs.AI2026

The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It

Valen Tagliabue, Leonard Dung, Cameron Berg

Large language models sometimes behave in ways resembling human emotional responses, and recent work has identified internal representations that may explain this. We ask whether L…

cs.AI2025

Probing the Preferences of a Language Model: Integrating Verbal and Behavioral Tests of AI Welfare

Valen Tagliabue, Leonard Dung

We develop new experimental paradigms for measuring welfare in language models. We compare verbal reports of models about their preferences with preferences expressed through behav…