Search Results for author:
Found 2 papers, 2 papers with code
Probing then Editing Response Personality of Large Language Models
We conduct probing experiments on 11 open-source LLMs over the PersonalityEdit benchmark and find that LLMs predominantly encode personality for responding in their middle and upper layers, with instruction-tuned models demonstrating a slightly clearer separation of personality traits.
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
Multi-Modal Large Language Models (MLLMs) have exhibited remarkable performance on various vision-language tasks such as Visual Question Answering (VQA).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
