9 citations · 10 across the 4 of their papers we have counts for
4 papers
Beyond Uniform Forgetting: A Study of Sequential Direct Preference Optimization Across Preference Settings
Pranav Bhandari, Nicolas Fay, Amitava Datta +2
Aligning language models with human preferences often requires optimising multiple behavioural objectives. A practical approach is to apply these objectives sequentially using pref…
Activation-Space Personality Steering: Hybrid Layer Selection for Stable Trait Control in LLMs
Pranav Bhandari, Nicolas Fay, Sanjeevan Selvaganapathy +3
Large Language Models exhibit implicit personalities in their generation, but reliably controlling or aligning these traits to meet specific needs remains an open challenge. The ne…
Can LLM Agents Maintain a Persona in Discourse?
Pranav Bhandari, Nicolas Fay, Michael Wise +4
Large Language Models (LLMs) are widely used as conversational agents, exploiting their capabilities in various sectors such as education, law, medicine, and more. However, LLMs ar…
Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires
Pranav Bhandari, Usman Naseem, Amitava Datta +2
Psychological assessment tools have long helped humans understand behavioural patterns. While Large Language Models (LLMs) can generate content comparable to that of humans, we exp…