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cs.AI2026
A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant
Saptarshi Basu, Sandeep Kakar, Ashok Goel
Artificial intelligence (AI) teaching assistants powered by large language models (LLMs) offer scalable educational support but often provide limited personalization. This study pr…
cs.HC2026
Impact of Multimodal and Conversational AI on Learning Outcomes and Experience
Karan Taneja, Anjali Singh, Ashok K. Goel
Multimodal Large Language Models (MLLMs) offer an opportunity to support multimedia learning through conversational systems grounded in educational content. However, while conversa…
cs.CL2026
HALT: Hallucination Assessment via Log-probs as Time series
Ahmad Shapiro, Karan Taneja, Ashok Goel
Hallucinations remain a major obstacle for large language models (LLMs), especially in safety-critical domains. We present HALT (Hallucination Assessment via Log-probs as Time seri…