6 papers
PersoPilot: An Adaptive AI-Copilot for Transparent Contextualized Persona Classification and Personalized Response Generation
Saleh Afzoon, Amin Beheshti, Usman Naseem
Understanding and classifying user personas is critical for delivering effective personalization. While persona information offers valuable insights, its full potential is realized…
PersoDPO: Scalable Preference Optimization for Instruction-Adherent, Persona-Grounded Dialogue via Multi-LLM Evaluation
Saleh Afzoon, MohammadHossein Ahmadi, Usman Naseem +1
Personalization and contextual coherence are two essential components in building effective persona-grounded dialogue systems. These aspects play a crucial role in enhancing user e…
ExBigBang: A Dynamic Approach for Explainable Persona Classification through Contextualized Hybrid Transformer Analysis
Saleh Afzoon, Amin Beheshti, Nabi Rezvani +7
In user-centric design, persona development plays a vital role in understanding user behaviour, capturing needs, segmenting audiences, and guiding design decisions. However, the gr…
VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation
Syed Talal Ahmad, Haohui Lu, Sidong Liu +4
Recent advancements in Large Language Models (LLMs) have significantly improved text generation capabilities. However, they also present challenges, particularly in generating vacc…
VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
Anudeex Shetty, Amin Beheshti, Mark Dras +1
Alignment techniques have become central to ensuring that Large Language Models (LLMs) generate outputs consistent with human values. However, existing alignment paradigms often mo…
PersoBench: Benchmarking Personalized Response Generation in Large Language Models
Saleh Afzoon, Zahra Jamali, Usman Naseem +1
While large language models (LLMs) have exhibited impressive conversational capabilities, their proficiency in delivering personalized responses remains unclear. Although recent be…