6 papers
Structure Matters: Evaluating Multi-Agents Orchestration in Generative Therapeutic Chatbots
Sina Elahimanesh, Mohammadali Mohammadkhani, Sara Zahedi Movahed +3
While large language models (LLMs) excel at open-ended dialogue, effective psychotherapy requires structured progression and adherence to clinical protocols, making the design of p…
Feeds Don't Tell the Whole Story: Measuring Online-Offline Emotion Alignment
Sina Elahimanesh, Mohammadali Mohammadkhani, Shohreh Kasaei
In contemporary society, social media is deeply integrated into daily life, yet emotional expression often differs between real and online contexts. We studied the Persian communit…
ViDscribe: Multimodal AI for Customizing Audio Description and Question Answering in Online Videos
Maryam Cheema, Sina Elahimanesh, Pooyan Fazli +1
Advances in multimodal large language models enable automatic video narration and question answering (VQA), offering scalable alternatives to labor-intensive, human-authored audio…
MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment
Mohammad Mahdi Abootorabi, Alireza Ghahramani Kure, Mohammadali Mohammadkhani +2
This paper presents our system for SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval. In an era where misinformation spreads rapidly, effective fact-c…
DescribePro: Collaborative Audio Description with Human-AI Interaction
Maryam Cheema, Sina Elahimanesh, Samuel Martin +2
Audio description (AD) makes video content accessible to millions of blind and low vision (BLV) users. However, creating high-quality AD involves a trade-off between the precision…
Emotion Alignment: Discovering the Gap Between Social Media and Real-World Sentiments in Persian Tweets and Images
Sina Elahimanesh, Mohammadali Mohammadkhani, Shohreh Kasaei
In contemporary society, widespread social media usage is evident in people's daily lives. Nevertheless, disparities in emotional expressions between the real world and online plat…