Heidelberg University NLP Group

Welcome to the Natural Language Processing Group at the Computational Linguistics Department @UniHeidelberg, led by @AnetteMFrank #NLProc #ML

[Frederick Riemenschneider @bowpis]

"How deep is your love? Like the ocean?"
Looking out at the Balearic Sea got me thinking about ancient feelings. Just how deep *did* the Romans and Greeks love?
Come find out at the first poster session of @LREC2026!

📍 Poster 1196
🕐 11:20 - 13:00

[AI Coffee Break with Letitia @AICoffeeBreak]

The world’s largest NLP conference with almost 2,000 papers presented, ACL 2025 just took place in Vienna! 🎓✨Here is a quick snapshot of the event via a short interview with one of the authors whose work caught my attention.
🎥 Watch: https://t.co/Zgry9gX9ip

#acl2025NLP #acl2025

[Frederick Riemenschneider @bowpis]

I am honored to receive the 2025 #GSCL Best Thesis Award at #KONVENS in Hildesheim for my Master’s thesis, which investigates multilinguality and develops language models for Ancient Greek and Latin. Thank you to my mentors and collaborators. I look forward to what comes next.

[Frederick Riemenschneider @bowpis]

Looking at Bruegel's Tower of Babel in Vienna makes you wonder: How can multilingual language models overcome the language barriers? Find out tomorrow!
📍 Level 1 (ironic, right?), Room 1.15-1
🕐 2 PM
#ACL2025NLP

[Frederick Riemenschneider @bowpis]

How and when do multilingual LMs achieve cross-lingual generalization during pre-training? And why do later, supposedly more advanced checkpoints, lose some language identification abilities in the process? Our #ACL2025 paper investigates.

[Frederick Riemenschneider @bowpis]

What did Aristotle actually write? We think we know, but reality is messy. As Ancient Greek texts traveled through history, they were copied and recopied countless times, accumulating subtle errors with each generation. Our new #NAACL2025 findings paper tackles this challenge.

[Letiția Pârcălăbescu @letiepi]

It was really great talking to many people at #ICLR in Singapore about my last paper written during my PhD! 📜

[Moritz Plenz @MoritzPlenz]

Debates aren’t always black and white—opposing sides often share common ground. These partial agreements are key for meaningful compromises.
Presenting “Perspectivized Stance Vectors” (PSVs) — an interpretable method to identify nuanced (dis)agreements
📜 https://t.co/AZGBipQakl

[Letiția Pârcălăbescu @letiepi]

The last paper of my PhD @HD_NLP is accepted at ICLR 2025!🙌
We investigate the reliance of modern Vision & Language Models (VLMs) on image🖼️ vs. text📄 inputs when generating answers vs. explanations, revealing fascinating insights into their modality use and self-consistency.👇

[Anette Frank @AnetteMFrank]

Proud of my PhD student @XiyanFu from @HD_NLP who will present a *new Challenge based on CommonGen* to evaluate the *compositional generalization abilities of LLMs in a combined reasoning & verbalization task, based on KG graph representations as input. 🥳#EMNLP2024 #nlproc 🤩

[Xiyan Fu @XiyanFu]

✨New Paper✨ The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning #EMNLP2024

📜 https://t.co/RPrNQVrOzL
🖼️ Poster Session F (Riverfront Hall), Nov 14 @ 10:30

[Frederick Riemenschneider @bowpis]

When I started my Bachelor in Classical Philology and Computational Linguistics in 2018, I had no idea where it would lead. I'm excited to now be giving my first invited talk at the Computational Approaches to Ancient Greek and Latin Workshop!

[Anette Frank @AnetteMFrank]

Frederick Riemenschneider @bowpis from @HD_NLP to give an invited talk at the Computational Approaches to Ancient Greek and Latin Workshop at ULeuven soon! Lovers of NLP and Ancient Languages not to miss the event! 🤩 #nlproc #DigitalHumanities #digiclass

[Ben Hagag @BenHagag20]

4/ **On Measuring Faithfulness or Self-consistency of Natural Language Explanations**

Measuring models' reasoning capabilities is a current challenge the community is dealing with. As this work shows, most existing research focuses on consistency rather than faithfulness or sound output (i.e., faithfulness to the model’s inner workings). It’s simply articulated—highly recommended for those interested in interpretability and reasoning.

Paper: https://t.co/b4WF7gAh0r
Authors: @letiepi @AnetteMFrank

[AI Coffee Break with Letitia @AICoffeeBreak]

How to make powerful LLMs understand graphs and their structure?🕸️ With Graph Language Models!
Take a pre-trained LLM and fit it with the ability to process graphs. Watch if you're curious how:👇
📺 https://t.co/rrXb3BBrJk

(Hint: it's about position embeddings, as @MoritzPlenz explained at #ACL2024 🔴)!
Work from @HD_NLP .

[Sheffield NLP @SheffieldNLP]

We are excited to announce our #NLProc Seminar Series for the Autumn semester!

Dates and times are subject to change.

[Anette Frank @AnetteMFrank]

I'm very proud of @XiyanFu's work on Continual Learning of Compositional Generalization in NLI, which is crucial for applications with dynamic knowledge updates. Check out her paper and benchmark here: https://t.co/GZbRSA0xRw

[Anette Frank @AnetteMFrank]

Our @MoritzPlenz from @HD_NLP in front of numerous visitors of his poster, presenting his new work on Graph Language Models 🕸️🗣️ at #ACL2024NLP. GLMs unify the advantages of LLMs and GNNs on structure-based tasks. Hold on, Moritz, to the end of the session! 😅🤩

[Anette Frank @AnetteMFrank]

Very relevant work presented by @letiepi today at #ACL2024NLP, measuring LLM self-consistency (but not faithfulness) with a new CC-SHAP metric. 🤩 She's still around and will be happy to talk to you. @HD_NLP

[Letiția Pârcălăbescu @letiepi]

@AICoffeeBreak Thanks to everyone who visited my #ACL2024 presentation! 🙌🏻 It felt great to present my work to so many knowledgeable people! 🧠