Markus Frohmann

AI Master Student @jkulinz

[Markus Frohmann @FrohmannM]

Excited to share that I'll be joining @thomsonreuters Labs in Zug, Switzerland, as an Applied AI Scientist Intern from April to September 2026! 🏔️
A nice bridge between finishing my MSc at JKU Linz and starting my PhD later this year - let me know if you're around!

[Markus Frohmann @FrohmannM]

@usmasfr Cool use case! You can start with our default setup, using 30 epochs, here:
https://t.co/5Ybn8dpQMh

Otherwise, I'd focus more on clean segmented training data than tuning epochs; >100 segmented training sentences would be good. You can also tune LoRA rank a bit if needed.

[Markus Frohmann @FrohmannM]

wtpsplit now supports length-constrained segmentation ✂️
min/max chunk length (chars) while preserving semantic chunks - should be great for RAG!

Example (≤30 chars):
[Landing 5pm → Beimen.]
[Let's meet at: Ximen Exit 6.]
[Then: Ningxia Night Market...]
[Late-night snack!']

[Markus Frohmann @FrohmannM]

Introducing 🪓Segment any Text! 🪓

A new state-of-the-art sentence segmentation tool!
Compared to existing tools (and strong LLMs!), our models are far more:
1. efficient ⚡
2. performant 🔝
3. robust 🚀
4. adaptable 🎯
5. multilingual 🗺

[Markus Frohmann @FrohmannM]

More info + how to use:
https://t.co/KOCMBIrICl

[Markus Frohmann @FrohmannM]

I'm at #EMNLP2025 in Suzhou this year!
Looking forward to connecting with the community after a year's break and spending some time abroad。。。再見！

[Markus Frohmann @FrohmannM]

🤖🗣️ Double Entendre will be presented today, 18:00-19:30 at Hall 4/5 by @m_schedl! Check it out if you're at #ACL2025!

[Markus Frohmann @FrohmannM]

Excited to share two new papers on AI-generated music detection from my research internship at @Deezer, published in @ismir_conf #ISMIR2025 and @aclmeeting #ACL2025 Findings! 🎶🤖

The problem: most AI music detectors are impractical or unreliable in real-world settings.

[Markus Frohmann @FrohmannM]

@Deezer @aclmeeting I had a great time working on this with @deezer in Paris! Big thanks to my mentors @evpure, @Gabolsgabs, and @m_schedl!

💻 Code: https://t.co/mVoJWH1tZ7
📄 ISMIR Paper (foundation): https://t.co/vXtQZp4xce
📄 ACL Paper (Multi-View Double Entendre): https://t.co/SkmKsqFS7b

[Markus Frohmann @FrohmannM]

Excited to share two new papers on AI-generated music detection from my research internship at @Deezer, published in @ismir_conf #ISMIR2025 and @aclmeeting #ACL2025 Findings! 🎶🤖

The problem: most AI music detectors are impractical or unreliable in real-world settings.

[Markus Frohmann @FrohmannM]

@Deezer @aclmeeting I view this work as an important extension of current single-modality detectors while maintaining flexibility and modularity. It's not production-ready, but it highlights key paradigms for detection:
Using all available information from just the audio and a focus on robustness.

[Markus Frohmann @FrohmannM]

Wtpsplit, our text segmentation tool, just reached ⭐️1000 stars⭐️ on GitHub! Excited to see it is proving useful!
Check it out here: https://t.co/IHH1GVemv3 🎉

[Markus Frohmann @FrohmannM]

Introducing 🪓Segment any Text! 🪓

A new state-of-the-art sentence segmentation tool!
Compared to existing tools (and strong LLMs!), our models are far more:
1. efficient ⚡
2. performant 🔝
3. robust 🚀
4. adaptable 🎯
5. multilingual 🗺

[Benjamin Minixhofer @bminixhofer]

We created Approximate Likelihood Matching, a principled (and very effective) method for *cross-tokenizer distillation*!

With ALM, you can create ensembles of models from different families, convert existing subword-level models to byte-level and a bunch more🧵

[Markus Frohmann @FrohmannM]

Curious about our SoTA text segmentation tool? 🪓 It's gonna help you across all kinds of NLP tasks!
Learn more at our poster session: Tuesday, 4pm, Jasmine room at #EMNLP2024! 🗓️
See you there!

I'll be attending the whole conference - happy to connect with everyone! 👋

[Markus Frohmann @FrohmannM]

Introducing 🪓Segment any Text! 🪓

A new state-of-the-art sentence segmentation tool!
Compared to existing tools (and strong LLMs!), our models are far more:
1. efficient ⚡
2. performant 🔝
3. robust 🚀
4. adaptable 🎯
5. multilingual 🗺

[Markus Frohmann @FrohmannM]

Excited to share that I joined @researchdeezer as a research intern to work with @evpure and @Gabolsgabs on detecting AI-generated lyrics !🎶

The first few weeks have been amazing, and I am excited about what is to come—life in Paris certainly has unparalleled charm!

[Markus Frohmann @FrohmannM]

This was an awesome summer! I can only recommend ETH's summer research fellowship program 🏔️

Also happy about the project's progress - integrating videos into existing architectures is quite exciting, stay tuned! Super grateful to Ryan Cotterell and @glnmario for supervising me.

[Markus Frohmann @FrohmannM]

Excited to share that I joined @ETH Zürich as a summer research fellow, supervised by Prof. @ryandcotterell, working on ✨Multimodal LLMs! ✨

The first few weeks have been a blast, and I'm looking forward to the weeks ahead! 📽️

[Cohere Labs @Cohere_Labs]

Congratulations to C4AI Research Grant recipient
@FrohmannM and all authors of "Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation" for their EMNLP acceptance!🥳