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13 changes: 9 additions & 4 deletions ssllfm2026/index.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ description: Co-located with DSAA 2026

**Location**: Pride Plaza Hotel, Aerocity, New Delhi, India
**Conference**: [DSAA 2026](https://dsaa2026.dsaa.co/) (IEEE International Conference on Data Science and Advanced Analytics)
**Date**: October 6-9, 2026 (special session slot: TBA)
**Date**: October 69, 2026 (special session slot: TBA)

Foundation models and large language systems have become indispensable technologies in data science and analysis,
opening up powerful possibilities in the areas of text generation, knowledge extraction, and complex decision-making.
Expand Down Expand Up @@ -88,7 +88,7 @@ The topics of interest are, but not limited to:
- Strategies to scale resources for training/fine-tuning foundational models
- Instruction tuning including generation of instruction tuning data
- Parallel training: data model tensor (attention and weights)
- Distributed workflows for data cleansing and model usage (Langchain)
- Distributed workflows for data cleansing and model usage (LangChain)
- Principled AI
- Investigating reasoning capabilities of LLMs
- Retrieval Augmented Generation
Expand Down Expand Up @@ -153,6 +153,13 @@ bridges fundamental research and real-world deployment, focusing on scalable mac
co-organized the previous workshops on foundational and large language models at IEEE BigData as well as the special
session at DSAA 2025.

**Dr. Linsey Pang**
PayPal Inc., USA · `panglinsey@gmail.com`
Linsey Pang is a Distinguished Scientist at PayPal. Previously she was a Principal Machine Learning Scientist at Salesforce.
Prior to this, she was a Principal Data Scientist at Walmart Lab. Prior to joining Walmart Lab, she worked as an applied
scientist at eBay Inc. She finished her PhD degree in machine learning research at the University of Sydney. She
co-organizes multiple workshops and tutorials at CIKM, KDD, and WSDM in top data mining conferences.

**Dr. Lorenz Sparrenberg**
University of Bonn, Germany · `lsparren@uni-bonn.de`
Dr. Lorenz Sparrenberg's research focuses on large language models and their evaluation, robustness, and limitations.
Expand All @@ -172,8 +179,6 @@ recent publications focus on semantic segmentation for robot-assisted abdominal
- Lucie Flek, *Lamarr Institute for Artificial Intelligence and Machine Learning*, Germany
- Christian Bauckhage, *Lamarr Institute for Artificial Intelligence and Machine Learning*, Germany
- Ozlem Uzuner, *George Mason University*, USA
- Lorenz Sparrenberg, *University of Bonn*, Germany

- Tobias Deußer, *University of Bonn*, Germany
- Armin Berger, *University of Bonn*, Germany
- Manuela Bergau, *Fraunhofer IAIS*, Germany
Expand Down