Researchers have introduced \u03a8-Bench, a new benchmark designed to evaluate the persuasive capabilities of large language models (LLMs) in conversational settings. The benchmark focuses on persona-sensitive influencing, where LLMs proactively guide users rather than passively responding to preferences. Evaluations of 10 frontier LLMs revealed that while models can generate coherent arguments, they still have significant room for improvement in persuasion. The study also found that providing LLMs with user profiles improved their performance by an average of 18.24%, underscoring the importance of user-specific information for effective influence. AI
IMPACT Highlights persona-sensitive influencing as a key area for developing more proactive and personalized LLM agents.
RANK_REASON The cluster contains a research paper introducing a new benchmark for evaluating LLM capabilities.
Read on Hugging Face Daily Papers →
AI-generated summary · Google Gemini · from 2 sources. How we write summaries →
