Munich NLP

Founded in May 2022 with already 1000+ people on Discord and LinkedIn. We want to promote the field of Natural Language Processing and an active exchange between students, professors, industry professionals and companies. We do online talks, discussions, demos as well as live meet-ups in Munich.

Join our Discord community!

Upcoming Events

Adversarial Threats and defenses in LLMs

Speaker: Dr. Leo Schwinn | April 28, 2025 19:00-20:00

June Meetup

Speaker: Haris Jabbar, Diego Miguel Lozano | June 20, 2024 18:00-22:00

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order

Speaker: Diganta Misra | May 23, 2024 18:00-20:00

April Meetup

Speakers: Andrey Cheptsov, Cornelia Gruber, Mihir Mahajan and Franz Srambical | Apr 11, 2024 18:00-22:00 | Youtube Recording

January Meetup

Speakers: Andreas Stephan, Jakob Klement, Luca Mülln | Jan 16, 2024 18:00-21:00

Language Models for Protein Data: Evolutionary Scale Modeling

Speaker: Amelie Schreiber | Dec 12, 2023 18:00-19:00 | Youtube Recording

NVIDIA x Munich NLP November Meetup

Speakers: Olya Kozlova, Michael Feil, Egor Labintcev | Nov 15, 2023 18:30-22:00

AI Summit Munich 2023

Speaker: Muthasham Oblokulov | Oct 20-21th, 2023 | Youtube Recording

MunichNLP x PyData October Meetup

Speaker: Chris Emezue, Dr. Oliver Pfaffel | Oct 4, 2023 18:30-22:00 | Youtube Recording

Online Event | DORA: Exploring Outlier Representations in Deep Neural Networks

Speaker: Kirill Bykov | Sep 27, 2023 18:00-19:30 | Youtube Recording

GenerataX MiniConference

Conference | June 15, 2023 15:30-19:30

Reality Check: Natural Language Processing in the era of Large Language Models

Speaker: Vered Shwartz, PhD | May 25, 2023 18:00-19:30 | Youtube Recording

PyData Nights talks from JinaAI and LMU

Speaker: Saahil Ognawala, PhD & Abdullatif Köksal | May 16, 2023 18:00-22:00 | Youtube Recording

Special Anniversary Edition: Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Speaker: Vladislav Lialin | May 11, 2023 18:00-19:30 | Youtube Recording

Women Get-Together in NLP

Speaker: Prof. Dr. Barbara Plank, Annette Green, Claudia Schulze | Apr 24, 2023 18:00-21:00

Measuring political positions using contextual word embeddings

Speaker: Patrick Schwabl | Apr 20, 2023 18:00-19:30 | Youtube Recording

The misalignment of legal judgement prediction model with expert and how to improve it

Speaker: Shanshan Xu | Apr 17, 2023 18:00-19:30 | Youtube Recording

CC-Top: Constrained Clustering for Dynamic Topic Discovery

Speaker: Jann Goschenhofer, Dr. Matthias Aßenmacher | Apr 11, 2023 18:00-19:30 | Youtube Recording

Relative representations enable zero-shot latent space communication

Speaker: Luca Moschella | Mar 23, 2023 18:00-19:30 | Youtube Recording

Bringing Your Insights to Life with ipyvizzu-story

Speaker: Peter Vidos | Mar 16, 2023 18:00-19:30 | Youtube Recording

Collaborative pretraining and recycling finetuned models

Speaker: Leshem Choshen | Mar 13, 2023 18:00-21:30 | Youtube Recording

NVIDIA RecSys Meetup

Speaker: Philipp Normann, Pavel Klemenkov, Benedikt Schifferer, Dr. Christof Henkel | Mar 10, 2023 15:00-21:30

Fine-Tuning Transformers for Your NLP Problem - A Journey Through Past Kaggle Competitions

Speaker: Dr. Christof Henkel | Mar 09, 2023 18:00-21:30 | Youtube Recording

How to leverage modern labeling techniques to overcome the cold start problem

Speaker: Leonard Püttmann, Divyanshu Katiyar, Moritz Feuerpfeil | Mar 06, 2023 18:00-20:30 | Youtube Recording

The past, present, and future of NLP from a linguistic perspective

Speaker: Leonie Weissweiler | Feb 27, 2023 18:00-20:30 | Youtube Recording

Question Answering with LangChain and Qdrant without boilerplate

Speaker: Kacper Łukawsk | Feb 21, 2023 18:00-20:30 | Youtube Recording

PyData x MunichNLP Vol. 3 - ML Models in Production

Speaker: Eric Joachim Liese, Prof. Dr. René Brunner | Feb 16, 2023 18:00-20:30

Better and Faster NLP Model Training: 10 Proven Techniques

Speaker: Darek Kłeczek | Feb 2, 2023 18:00-19:30 | Youtube Recording

What learning algorithm is in-context learning?

Speaker: Ekin Akyürek | Dec 22, 2022 17:00-18:30

11th NLP Meetup

Speaker: Dr. Oliver Pfaffel, Dr. Matthias Kaper, Muhtasham Oblokulov | Dec 15, 2022 18:00-20:30

PyData x MunichNLP Vol. 2

Speaker: Andrey Cheptsov & Hamza Tahir | Dec 8, 2022 18:00-22:00

Open-Source Teaching Resources for NLP

Speaker: Dr. Matthias Aßenmacher | Nov 23, 2022 18:00-19:00 | Youtube Recording

Challenges and Opportunities in NLP for Under-Represented Languages

Speaker: Sebastian Ruder, PhD | Nov 22, 2022 18:00-19:30 | Youtube Recording

PyData x MunichNLP Vol. 1

Speaker: Egor Labintcev & Nikita Iserson | Nov 17, 2022 18:00-22:00

Tricks and Tools from NLP Land

Speaker: Vincent D. Warmerdam | Nov 10, 2022 19:00 | Youtube Recording

NLP for Social Good: A Survey with Use-Cases

Speaker: Daryna Dementieva | Oct 26, 2022 18:00 | Youtube Recording

Transformers in All Glory Details

Speaker: Dr. Lucas Beyer | Oct 13, 2022 16:15 | Youtube Recording

Simplifying MLOps Stack

Speaker: Andrey Cheptsov | Oct 13, 2022 18:00 | Youtube Recording

Next Generation of Semantic Search

Speaker: Dr. Nils Reimers | Sep 22, 2022 | Youtube Recording

Language Models for Symbolic Music Generation

Speaker: Dr. Tristan Behrens | Jul 6, 2022 | Youtube Recording

Accelerating Transformers in Production

Speaker: Lewis Tunstall, PhD | Jun 29, 2022 | Youtube Recording

A Hands-on Tutorial of the Hugging Face Hub and Gradio

Speaker: Abubakar Abid, PhD | Jun 23, 2022 | Youtube Recording

Pre-trained language models evaluating themselves - A comparative study

Speaker: Philipp Koch | Jun 18, 2022

Life after BERT: What do Other Muppets Understand about Language?

Speaker: Vladislav Lialin | May 27, 2022

Muhtasham Oblokulov

Fine-Tuning Award Winner

Research Interests:

Prompt Engineer by day, LLM hacker by night

Philipp Koch

How can we improve NLU even further?

Research Interests:

NLU, NLG, Evaluation, Statistics and Linguistics

Ingo Ziegler

Business --> Data Science --> NLP --> Currently Ai in Bio/Med

Research Interests:

Applying NLP and Deep Learning techniques to related areas, currently Biology/Medicine

Martin Ivanov

Linguistics --> Computational Linguistics --> NLU

Research Interests:

Semantics, meaning representation, looking under the hood of both language and models themselves

Shanshan Xu

Cognitive Linguistics --> Speech Scientist --> Currently PhD student of NLP in Legal Tech

Research Interests:

Explainability, Computational Linguistics, Computational Social Science, Interdisciplinary Research

Fabian Stermann

Statistics --> Data Science --> ML/DL --> NLP

Research Interests:

Knowledge Representation, Knowledge Editing, Explainable LMs

Marwin Härttrich

Maths --> CS --> Computational Linguistics --> NLP

Research Interests:

Conversational AI, NLP, ML/DL, Knowledge Representation

Maria Aysina

Media --> Politics and Data Science --> NLP

Research Interests:

Computational Linguistics, Applying NLP and Deep Learning techniques. Currently working on automatic text summarisation in german language

Upcoming Events

Adversarial Threats and defenses in LLMs

Past Events

June Meetup

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order

April Meetup

January Meetup

Language Models for Protein Data: Evolutionary Scale Modeling

NVIDIA x Munich NLP November Meetup

AI Summit Munich 2023

MunichNLP x PyData October Meetup

Online Event | DORA: Exploring Outlier Representations in Deep Neural Networks

GenerataX MiniConference

Reality Check: Natural Language Processing in the era of Large Language Models

PyData Nights talks from JinaAI and LMU

Special Anniversary Edition: Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Women Get-Together in NLP

Measuring political positions using contextual word embeddings

The misalignment of legal judgement prediction model with expert and how to improve it

CC-Top: Constrained Clustering for Dynamic Topic Discovery

Relative representations enable zero-shot latent space communication

Bringing Your Insights to Life with ipyvizzu-story

Collaborative pretraining and recycling finetuned models

NVIDIA RecSys Meetup

Fine-Tuning Transformers for Your NLP Problem - A Journey Through Past Kaggle Competitions

How to leverage modern labeling techniques to overcome the cold start problem

The past, present, and future of NLP from a linguistic perspective

Question Answering with LangChain and Qdrant without boilerplate

PyData x MunichNLP Vol. 3 - ML Models in Production

Better and Faster NLP Model Training: 10 Proven Techniques

What learning algorithm is in-context learning?

11th NLP Meetup

PyData x MunichNLP Vol. 2

Open-Source Teaching Resources for NLP

Challenges and Opportunities in NLP for Under-Represented Languages

PyData x MunichNLP Vol. 1

Tricks and Tools from NLP Land

NLP for Social Good: A Survey with Use-Cases

Transformers in All Glory Details

Simplifying MLOps Stack

Next Generation of Semantic Search

Language Models for Symbolic Music Generation

Accelerating Transformers in Production

A Hands-on Tutorial of the Hugging Face Hub and Gradio

Pre-trained language models evaluating themselves - A comparative study

Life after BERT: What do Other Muppets Understand about Language?

Organizers

Muhtasham Oblokulov

Research Interests:

Philipp Koch

Research Interests:

Ingo Ziegler

Research Interests:

Martin Ivanov

Research Interests:

Shanshan Xu

Research Interests:

Fabian Stermann

Research Interests:

Marwin Härttrich

Research Interests:

Maria Aysina

Research Interests: