April MunichNLP x MCML In-Person Meetup

Hello Munich NLP Enthusiasts!

We are thrilled to announce our next on-site meetup in collaboration with MCML, taking place on April 28 at LMU!

Join us for an exciting evening starting with a public screening of the online lecture on LLM reasoning by Stanford's Dr. Yejin Choi. Following the screening, we will have an insightful in-person presentation by Kathy Hämmerl (TUM) on cross-lingual representations in multilingual models

🕵️‍♀️ How to find the room
Oettingenstraße 67, Room 151
Find the room with the link here: https://www.lmu.de/raumfinder/#/building/bw7070/map?room=707001151_
Our room is on the 1st floor (1. OG), in the middle, between the F and E wings.

📅 Agenda

• 17:15 | Welcome & Intro to MunichNLP and MCML
• 17:30 | Public Screening: Yejin Choi's "The Art of (Artificial) Reasoning"
• 18:30 | Break (30 min)
• 19:00 | On-Site Talk + Q&A: Kathy Hämmerl on "Understanding Cross-Lingual Representations in Multilingual Models"
• 19:30 | Food & Networking

🔍 First Talk: "The Art of (Artificial) Reasoning"

• Speaker: Dr. Yejin Choi (Stanford University)
• Time: 17:30 – 18:30

Abstract
Scaling laws suggest that “more is more” — brute-force scaling of data and compute leads to stronger AI capabilities. However, despite rapid progress on benchmarks, state-of-the-art models still exhibit "jagged intelligence," indicating that current scaling approaches may have limitations in terms of sustainability and robustness. Meanwhile, although the volume of papers on arXiv continues to grow at a remarkable pace, our scientific understanding of LLM reasoning has not kept up with engineering advances, and the current literature presents seemingly contradictory findings that are confusing to reconcile. In this talk, I will discuss ke