8 citations · 9 across the 5 of their papers we have counts for
5 papers
"Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users
Caleb Wohn, Buse Çarık, Xiaohan Ding +3
Autistic individuals sometimes disclose autism when asking LLMs for social advice, hoping for more personalized responses. However, they also recognize that these systems may repro…
A Multi-Level Benchmark for Causal Language Understanding in Social Media Discourse
Xiaohan Ding, Kaike Ping, Buse Çarık +1
Understanding causal language in informal discourse is a core yet underexplored challenge in NLP. Existing datasets largely focus on explicit causality in structured text, providin…
How Managers Perceive AI-Assisted Conversational Training for Workplace Communication
Lance T. Wilhelm, Xiaohan Ding, Kirk McInnis Knutsen +2
Effective workplace communication is essential for managerial success, yet many managers lack access to tailored and sustained training. Although AI-assisted communication systems…
Reimagining Support: Exploring Autistic Individuals' Visions for AI in Coping with Negative Self-Talk
Buse Carik, Victoria Izaac, Xiaohan Ding +2
Autistic individuals often experience negative self-talk (NST), leading to increased anxiety and depression. While therapy is recommended, it presents challenges for many autistic…
SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking
Buse Çarık, Fatih Beyhan, Reyyan Yeniterzi
This paper describes the system proposed by Sabancı University Natural Language Processing Group in the SemEval-2022 MultiCoNER task. We developed an unsupervised entity linking pi…