#retrieval-augmented generation
49 papers · 1 filter
Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education
Xanthi Kokkinou, Chaido Mizeli, Nafsika Koulaxidou +2
Earthquaker-AI is a hybrid educational system that combines Lego robotics with a retrieval‑augmented generation AI assistant to teach primary‑school students earthquake safety, pro…
Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation
Alaina Brandt
The paper introduces PAT, a retrieval‑augmented system that uses large language models to translate whole documents by incorporating user specifications and examples from a compara…
Pezego-HITL: A policy-grounded large language model architecture for agricultural extension in Ghana
Shunbao Li, Zhipeng Yuan, Amoako Ofori +5
The paper presents Pezego-HITL, a policy‑grounded large language model system for agricultural extension in Ghana, and introduces the P‑EVAL framework to evaluate safety, usefulnes…
Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System
Teri Rumble, Javad Zarrin, P. George Lovell +1
The paper reports on the real‑world classroom deployment of LEA, an adaptive AI tutoring assistant that combines retrieval‑augmented generation with structured knowledge component…
When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation
Faizan Faisal
The paper evaluates whether reasoning abilities of large language models improve the generation of structured clinical SOAP notes, finding that reasoning can actually degrade perfo…
Not All Retrievals are Useful: Cross-Attention for Input-Aware RAG in Time Series Forecasting
Seunghan Lee, Jaehoon Lee, Jun Seo +7
The paper introduces Cross-RAG, a retrieval-augmented generation framework for zero-shot time series forecasting that uses query‑retrieval cross‑attention to selectively attend to…