9 papers
AICD Bench: A Challenging Benchmark for AI-Generated Code Detection
Daniil Orel, Dilshod Azizov, Indraneil Paul +3
Large language models (LLMs) are increasingly capable of generating functional source code, raising concerns about authorship, accountability, and security. While detecting AI-gene…
LLMs as Cultural Archives: Cultural Commonsense Knowledge Graph Extraction
Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych +1
Large language models (LLMs) encode rich cultural knowledge learned from diverse web-scale data, offering an unprecedented opportunity to model cultural commonsense at scale. Yet t…
Using Large Language Models to Create Personalized Networks From Therapy Sessions
Clarissa W. Ong, Hiba Arnaout, Kate Sheehan +3
Recent advances in psychotherapy have focused on treatment personalization, such as by selecting treatment modules based on personalized networks. However, estimating personalized…
A Comprehensive Review of Datasets for Clinical Mental Health AI Systems
Aishik Mandal, Prottay Kumar Adhikary, Hiba Arnaout +2
Mental health disorders are rising worldwide. However, the availability of trained clinicians has not scaled proportionally, leaving many people without adequate or timely support.…
Tailored Emotional LLM-Supporter: Enhancing Cultural Sensitivity
Chen Cecilia Liu, Hiba Arnaout, Nils Kovačić +2
Large language models (LLMs) show promise in offering emotional support and generating empathetic responses for individuals in distress, but their ability to deliver culturally sen…
From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs
Muhammad Farid Adilazuarda, Chen Cecilia Liu, Iryna Gurevych +1
Adapting cultural values in Large Language Models (LLMs) presents significant challenges, particularly due to biases and limited training data. Prior work primarily aligns LLMs wit…