Zurich Language AI Meetup
Organized by Supertext
Get ready for the 21st edition of our community event for language AI and NLP experts and enthusiasts.
š§ Ā 3 straight-to-the-point talksĀ by experienced experts š„Ā Casual networkingĀ over drinks and snacks šĀ Capacity:Ā 100 seats
Schedule 6:30 pm ā Doors open and registration 7:00 pm ā Presentations
š¹Ā Overcorrection: Why LLMs Can'tĀ JustĀ Proofread ā and How to Fix It Heejin Do, Postdoctoral Fellow at ETH AI Center LLMs often over-edit text, sacrificing original meaning for fluency. This talk introduces PoCO, a two-stage method that harnesses 'intentional overcorrection' to catch more errors while using smaller models to restore accuracy and precision.
š¹ Why Translation AI Fails (Even Though It Works) Christian Weih-Sum, Managing Director at foryouandyourcustomers The quality of modern translation AI is no longer the main issue. In practice, deployments fall short not because of models, but because of processes, roles, and decision-making. This impulse explores the non-technical challenges that decide whether translation AI becomes a competitive advantageāor another missed opportunity.
š¹ Privacy vs Utility: The Anonymisation Tradeoff in Language AI Workflows Michael Anthony Mazourik, Founder and CEO at AI4Privacy Every AI workflow leaks data it shouldn't. But most anonymisation tools either destroy context or miss entities entirely. To tackle this, AI4privacy built p5y, an open-source privacy framework modelled on i18n, that treats privacy as a language-level translation task. The talk covers reversible masking, synthetic identity generation, and policy-driven access control in production translation pipelines. No theory, just live examples of what actually works.
8:00 pm ā Drinks reception
