Document retrieval increasingly supports high-stakes information access in finance, healthcare, and law. Modern retrieval pipelines vary both in modality (text or multimodal) and in retrieval architecture (dense or late-interaction). These choices impose a hard compromise: the most effective pipelines are too slow and...
Emre Kuru, Mehmet Onur Keskin, R. Farahbakhsh et al.· 0 citations
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
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
It is demonstrated that gender bias undermines both reliability and fairness in LLM-based fake news detection, highlighting the need for bias-aware evaluation and mitigation strategies.
Razieh Chalehchaleh, R. Farahbakhsh, N. Crespi· 0 citations
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