9 citations · 22 across the 9 of their papers we have counts for
9 papers
Why LLMs Give In: Conversational Factors and Reasoning Behind Medical Sycophancy
Kaike Ping, Buse Çarık, Caleb Wohn +3
Large language models can answer a medical question correctly and still abandon that answer when a user pushes back. We study this failure as medical sycophancy and ask when models…
"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…
Exploring Large Language Models Through a Neurodivergent Lens: Use, Challenges, Community-Driven Workarounds, and Concerns
Buse Carik, Kaike Ping, Xiaohan Ding +1
Despite the increasing use of large language models (LLMs) in everyday life among neurodivergent individuals, our knowledge of how they engage with, and perceive LLMs remains limit…
Designing Human-AI Collaboration to Support Learning in Counterspeech Writing
Xiaohan Ding, Kaike Ping, Uma Sushmitha Gunturi +7
Online hate speech has become increasingly prevalent on social media, causing harm to individuals and society. While automated content moderation has received considerable attentio…
Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language
Xiaohan Ding, Buse Carik, Uma Sushmitha Gunturi +2
We introduce a multi-step reasoning framework using prompt-based LLMs to examine the relationship between social media language patterns and trends in national health outcomes. Gro…
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…