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of 85
pro vyhledávání: '"Choo, Kenny"'
Autism Spectrum Disorder (ASD) significantly affects the social and communication abilities of children, and eye-tracking is commonly used as a diagnostic tool by identifying associated atypical gaze patterns. Traditional methods demand manual identi
Externí odkaz:
http://arxiv.org/abs/2409.11744
Detecting hate speech and offensive language is essential for maintaining a safe and respectful digital environment. This study examines the limitations of state-of-the-art large language models (LLMs) in identifying offensive content within systemat
Externí odkaz:
http://arxiv.org/abs/2406.12223
Providing timely support and intervention is crucial in mental health settings. As the need to engage youth comfortable with texting increases, mental health providers are exploring and adopting text-based media such as chatbots, community-based foru
Externí odkaz:
http://arxiv.org/abs/2406.11135
To address the limitations of current hate speech detection models, we introduce \textsf{SGHateCheck}, a novel framework designed for the linguistic and cultural context of Singapore and Southeast Asia. It extends the functional testing approach of H
Externí odkaz:
http://arxiv.org/abs/2405.01842
Autor:
Gao, Jie, Gebreegziabher, Simret Araya, Choo, Kenny Tsu Wei, Li, Toby Jia-Jun, Perrault, Simon Tangi, Malone, Thomas W.
With ChatGPT's release, conversational prompting has become the most popular form of human-LLM interaction. However, its effectiveness is limited for more complex tasks involving reasoning, creativity, and iteration. Through a systematic analysis of
Externí odkaz:
http://arxiv.org/abs/2404.00405
Autor:
Gao, Jie, Cao, Junming, Yeo, ShunYi, Choo, Kenny Tsu Wei, Zhang, Zheng, Li, Toby Jia-Jun, Zhao, Shengdong, Perrault, Simon Tangi
While AI shows promise for enhancing the efficiency of qualitative analysis, the unique human-AI interaction resulting from varied coding strategies makes it challenging to develop a trustworthy AI-assisted qualitative coding system (AIQCs) that supp
Externí odkaz:
http://arxiv.org/abs/2309.13858
Recent research has focused on using large language models (LLMs) to generate explanations for hate speech through fine-tuning or prompting. Despite the growing interest in this area, these generated explanations' effectiveness and potential limitati
Externí odkaz:
http://arxiv.org/abs/2305.17680
While AI-assisted individual qualitative analysis has been substantially studied, AI-assisted collaborative qualitative analysis (CQA)-a process that involves multiple researchers working together to interpret data-remains relatively unexplored. Afte
Externí odkaz:
http://arxiv.org/abs/2304.05560
Autor:
Hermann, Jan, Spencer, James, Choo, Kenny, Mezzacapo, Antonio, Foulkes, W. M. C., Pfau, David, Carleo, Giuseppe, Noé, Frank
Machine learning and specifically deep-learning methods have outperformed human capabilities in many pattern recognition and data processing problems, in game playing, and now also play an increasingly important role in scientific discovery. A key ap
Externí odkaz:
http://arxiv.org/abs/2208.12590