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cs.CL2026
Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework
Nora Petrova, Andrew Gordon, Enzo Blindow
The evaluation of large language models faces significant challenges. Technical benchmarks often lack real-world relevance, while existing human preference evaluations suffer from…
cs.CL2025
Latent Adversarial Training Improves the Representation of Refusal
Alexandra Abbas, Nora Petrova, Helios Ael Lyons +1
Recent work has shown that language models' refusal behavior is primarily encoded in a single direction in their latent space, making it vulnerable to targeted attacks. Although La…