2 citations · 5 across the 9 of their papers we have counts for
3 papers · 1 filter
Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
Generative Large Language Models (LLMs) are capable of being in-context learners. However, the underlying mechanism of in-context learning (ICL) is still a major research question,…
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language
Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok +2
This paper presents a conversational pipeline for crafting domain knowledge for complex neuro-symbolic models through natural language prompts. It leverages large language models t…
Reasoning over Uncertain Text by Generative Large Language Models
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
This paper considers the challenges Large Language Models (LLMs) face when reasoning over text that includes information involving uncertainty explicitly quantified via probability…