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Leo Richter

2 accepted papers

2026

ContextBench: Modifying Contexts for Targeted Latent Activation and Behaviour Elicitation

ICLR 2026poster

Identifying inputs that trigger specific behaviours or latent features in language models could have a wide range of safety use cases. We investigate a class of methods capable of generating targeted, linguistically fluent inputs that activate specific latent features or elicit model behaviours. We…

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2025

An Auditing Test to Detect Behavioral Shift in Language Models

ICLR 2025poster

As language models (LMs) approach human-level performance, a comprehensive understanding of their behavior becomes crucial. This includes evaluating capabilities, biases, task performance, and alignment with societal values. Extensive initial evaluations, including red teaming and diverse benchmark…