Topic: tobias-schimanski
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
This summary highlights the paper's exploration into improving LLMs for evidence-based question-answering by fine-tuning on synthetic data refined with quality filters.
Automated Fact-Checking of Climate Change Claims with Large Language Models
A comprehensive overview of the Climinator tool, designed to automate the fact-checking of climate change claims using Large Language Models (LLMs).