News - Data Science Chair

We’re excited to share that our paper, “Exploring Design Choices for Autoregressive Deep Learning Climate Models,” has been accepted to the Tackling Climate Change with Machine Learning (TCCML) Workshop at ICLR 2025!

We participated in two SemEval tasks and placed first in SemEval'25 Task 2!! OTTERly fantastic!

Our paper "Assessing the State of the Art in Scene Segmentation" has been accepted at the 2025 Annual Conference of the Nations of the Americas Chapter of the ACL. In our paper, we assess the state of the art for scene segmentation for german novels and compare BERT-based to current Llama models.

Our paper "Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction" just got accepted at the ACM Journal "Transactions on Recommender System". In our work, we introduce and analyze the utility of non-item interactions for sequential recommender systems.

We created two German-only decoder models, LLäMmlein 120M and 1B, from scratch!

Janna Omeliyanenko just gave a keynote on "Efficient Language Models as Continual Knowledge Bases" at the Workshop on Knowledge Base Construction from Pre-Trained Language Models at the ISWC 2024.

We're looking back on an amazing week of presentations and discussions at both the LWDA and KI conferences, plus all the great workshops! A big thanks to all the participants and helpers who made the conference a success and for the awesome chance to share ideas and knowledge.

In our work "Adapting Sequential Recommender Models to Content Recommendation in Chat Data using Non-Item Page-Models", we adapt sequential recommender models for content recommendation in twitch and multiple other chat systems by modeling messages as non-item pages with pretrained embeddings.