From the 1 of 5 linked papers with an AI index.
5 papers
From SQL Errors to Concept Gaps: An AI-Powered Knowledge Graph Analytics Platform for Personalized Feedback
Abdulrahman AlRabah, Weijian Zhou, Xing Gao +1
This innovative practice full paper describes an AI-powered knowledge graph platform that connects SQL errors to conceptual gaps in undergraduate and graduate database systems cour…
PredAct-Bench: Benchmarking Tool-Augmented Dialogue under Controlled Tool Noise
Abdulrahman AlRabah, Xiaocheng Yang, Dilek Hakkani-Tür +1
Large Language Models (LLMs) are increasingly deployed in task-oriented dialogue systems that support multi-step decision-making in high-stakes domains such as education, healthcar…
Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems
Vira Kasprova, Amruta Parulekar, Abdulrahman AlRabah +5
The paper investigates how informing language model agents about each other's tendency to agree with users (sycophancy) can reduce error cascades in multi‑agent discussions and boo…
GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems
Xiaocheng Yang, Abdulrahman Alrabah, Dilek Hakkani-Tür +1
Multi-agent systems (MAS) built on large language models (LLMs) provide a promising framework for solving complex tasks through role specialization and structured interaction. Howe…
Instructor-Aligned Knowledge Graphs for Personalized Learning
Abdulrahman AlRabah, Priyanka Kargupta, Jiawei Han +1
Mastering educational concepts requires understanding both their prerequisites (e.g., recursion before merge sort) and sub-concepts (e.g., merge sort as part of sorting algorithms)…