This post is tracking the Argunauts project. We’re currently trying to teach LLMs logical argument analysis and argument mapping with Argdown, and are sharing progress and lessons learned in a series of articles. 1️⃣ Argunauts: Goals, Challenges, Masterplan 📘 2️⃣ Argunauts Training Phase I: Continual Pretraining on Synthetic Data 📘 3️⃣ Arguna... Read more 21 Feb 2025 - less than 1 minute read
[cross-posted from https://huggingface.co/blog/ggbetz/introducing-syncialo] 🛢️ Dataset at HF Hub 👩💻 Python Code Repo 🏋️♀️ Distilled ML Dataset What exactly is syncIALO? syncIALO is a collection of synthetic argument mapping datasets. Its first and primary corpus (uninspiringly called synthetic_corpus-001) contains >600k cla... Read more 02 Feb 2025 - 8 minute read
[🖥️ Slides] [📓 Jupyter Notebook] In a keynote at the Workshop on Computational Models in Social Epistemology 2023, organised by the RUB Research Group on Reasoning, Rationality and Science as part of the DFG network “Simulations of Scientific Inquiry”, we’ve reviewed and critically reflected on the emergent field of LLM-based multi-agent simul... Read more 11 Dec 2023 - less than 1 minute read
[📝 Paper 1] [📝 Paper 2] [📈 Data at WandB] Large language models (LLMs) like ChatGPT are about to revolutionize our linguistic practices. These systems are highly proficient in writing, processing, and analysing texts. ChatGPT, for example, can pass an MBA exam, write a business plan, improve code, argue fervently for (or against) a policy pro... Read more 09 Feb 2023 - 3 minute read
[📝 Paper] [📓 Jupyter notebooks] [🐍 Python library] Argumentation (the process of producing arguments and responding to those put forward by others) can influence opinion dynamics in artificial agents: from previous research we already know that argumentation can be conducive to agreement among artificial agents, and that the effect size depend... Read more 02 Feb 2022 - 2 minute read