4 citations · 10 across the 9 of their papers we have counts for
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cs.CL2024★ 1 cited
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs
Fatemeh Shiri, Van Nguyen, Farhad Moghimifar +3
Large Language Models (LLMs) demonstrate significant capabilities in processing natural language data, promising efficient knowledge extraction from diverse textual sources to enha…
cs.CL2024★ 1 cited
Modelling Political Coalition Negotiations Using LLM-based Agents
Farhad Moghimifar, Yuan-Fang Li, Robert Thomson +1
Coalition negotiations are a cornerstone of parliamentary democracies, characterised by complex interactions and strategic communications among political parties. Despite its signi…