⛏️ Last but not least in our series of presentations at ACL 2025 is the poster for "Practical Solutions for Practical Problems in Developing Argument Mining Systems" at the Workshop for Argument Mining on the 31st July 16:00-17:15 in Hall B! See you in Vienna on Sunday! 🇦🇹

Many congratulations to Giulia D'Agostino who this afternoon successfully defended her PhD thesis, passing summa cum laude.

At this week's reading group, we discussed the paper "Why human–AI relationships need socioaffective alignment" to look at the broader topic of social and emotional dynamics of human-AI interaction, and what this might mean for our own work. nature.com/articles/s4159…

Our reading group dissected an experimental study by Hruschka and Appel (doi.org/10.1371/journa…) that underpinned a paper on Persuasion-Augmented Chain of Thought presented at ACL in Vienna (doi.org/10.18653/v1/20…).

Chris led this week's discussion on a study about annotation error detection (aclanthology.org/2023.cl-1.4). We explored how these techniques could generalize to data with inter-span relations, like corpora using eRST or those at aifdb.org.

In this week's reading group, we discussed the paper "Can Large Language Models Understand Argument Schemes?" recently published at the Findings of the ACL 2025 by Elfia Bezou-Vrakatseli , Oana Cocarascu, and Sanjay Modgil. aclanthology.org/2025.findings-…

📣 🎉 We are excited to announce that two papers authored by ARG-tech members have been accepted to #ECAI2025! Congratulations to our amazing reserachers for this great success. We're looking forward to seeing many of you in Bologna in October 🇮🇹

📢 🎉 We're very happy to announce even more success for ARG-tech's researchers with a paper being accepted to the findings of #EMNLP2025! Congratulations to all authors! We're excited to see many of you in Suzhou, China this November 🇨🇳

Today in our reading group we discussed the preprint, "The Thin Line Between Comprehension and Persuasion in LLMs", by Adrian de Wynter and Tangming Yuan, which annotates and evaluates debates with humans and LLMs.