7 citations · 16 across the 11 of their papers we have counts for
11 papers
Reasoning is a Modality
Zhiguang Liu, Yi Shang
The Abstraction and Reasoning Corpus (ARC) provides a compact laboratory for studying abstract reasoning, an ability central to human intelligence. Modern AI systems, including LLM…
AURA: A Reinforcement Learning Framework for AI-Driven Adaptive Conversational Surveys
Jinwen Tang, Yi Shang
Conventional online surveys provide limited personalization, often resulting in low engagement and superficial responses. Although AI survey chatbots improve convenience, most are…
RPKT: Learning What You Don't -- Know Recursive Prerequisite Knowledge Tracing in Conversational AI Tutors for Personalized Learning
Jinwen Tang, Qiming Guo, Zhicheng Tang +1
Educational systems often assume learners can identify their knowledge gaps, yet research consistently shows that students struggle to recognize what they don't know they need to l…
A Data-Driven RetinaNet Model for Small Object Detection in Aerial Images
Zhicheng Tang, Jinwen Tang, Yi Shang
In the realm of aerial imaging, the ability to detect small objects is pivotal for a myriad of applications, encompassing environmental surveillance, urban design, and crisis manag…
TigerGPT: A New AI Chatbot for Adaptive Campus Climate Surveys
Jinwen Tang, Songxi Chen, Yi Shang
Campus climate surveys play a pivotal role in capturing how students, faculty, and staff experience university life, yet traditional methods frequently suffer from low participatio…
A Layered Multi-Expert Framework for Long-Context Mental Health Assessments
Jinwen Tang, Qiming Guo, Wenbo Sun +1
Long-form mental health assessments pose unique challenges for large language models (LLMs), which often exhibit hallucinations or inconsistent reasoning when handling extended, do…
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
Taoran Fang, Tianhong Gao, Chunping Wang +4
Graph neural networks (GNNs) with attention mechanisms, often referred to as attentive GNNs, have emerged as a prominent paradigm in advanced GNN models in recent years. However, o…
Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories
Jinwen Tang, Qiming Guo, Yunxin Zhao +1
Recent advancements in NLP have spurred significant interest in analyzing social media text data for identifying linguistic features indicative of mental health issues. However, th…
SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
Qiming Guo, Jinwen Tang, Wenbo Sun +3
Mental health issues significantly impact individuals' daily lives, yet many do not receive the help they need even with available online resources. This study aims to provide dive…
SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey
Qiming Guo, Jinwen Tang, Wenbo Sun +3
Mental health issues significantly impact individuals' daily lives, yet many do not receive the help they need even with available online resources. This study aims to provide acce…
Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress Assessment
Jinwen Tang, Yi Shang
This study introduces 'Psycho Analyst', a custom GPT model based on OpenAI's GPT-4, optimized for pre-screening mental health disorders. Enhanced with DSM-5, PHQ-8, detailed data d…