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cs.CL2025
Mitigating Semantic Drift: Evaluating LLMs' Efficacy in Psychotherapy through MI Dialogue Summarization
Vivek Kumar, Pushpraj Singh Rajawat, Eirini Ntoutsi
Recent advancements in large language models (LLMs) have shown their potential across both general and domain-specific tasks. However, there is a growing concern regarding their la…
cs.CL2024
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health
Vivek Kumar, Eirini Ntoutsi, Pushpraj Singh Rajawat +2
Large language models (LLMs) have shown promising capabilities in healthcare analysis but face several challenges like hallucinations, parroting, and bias manifestation. These chal…
cs.CL2024
Transparent Neighborhood Approximation for Text Classifier Explanation
Yi Cai, Arthur Zimek, Eirini Ntoutsi +1
Recent literature highlights the critical role of neighborhood construction in deriving model-agnostic explanations, with a growing trend toward deploying generative models to impr…