2 papers
cs.CL2025
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering
Alexander Murphy, Mohd Sanad Zaki Rizvi, Aden Haussmann +4
Large Language Models (LLMs) frequently produce factually inaccurate outputs - a phenomenon known as hallucination - which limits their accuracy in knowledge-intensive NLP tasks. R…
cs.CL2025
The Challenge of Achieving Attributability in Multilingual Table-to-Text Generation with Question-Answer Blueprints
Aden Haussmann
Multilingual Natural Language Generation (NLG) is challenging due to the lack of training data for low-resource languages. However, some low-resource languages have up to tens of m…