Author

Praboda Rajapaksha

2 papers indexed here

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#artificial intelligence Preprint Sep 2026

Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion Detection

Overall, how agents are differentiated produces larger performance shifts than topology, which should be evaluated jointly with specialization: how agents are differentiated produces larger performance shifts than topology, which should be evaluated jointly with specialization.

Ulugbek Shernazarov, Charitha Ruwansiri Weerakon Basnayake, Abdelkhaleq El Jarjini et al. · 0 citations

Preprint Jul 2026

PTEI: Integrating Personality Traits to Enhance Emotional Intelligence in Large Language Models

Despite advances in Emotional Intelligence (EI), Large Language Models (LLMs) still significantly underperform humans in complex emotional reasoning. This gap originates partly from the limited incorporation of individual differences, particularly personality traits, which are fundamental to human emotional inference....

A. Jafari, Praboda Rajapaksha, R. Farahbakhsh et al. · 0 citations