
professor - university of amsterdam. thinking: data, links, remixing, knowledge, provenance, espresso. My opinions. Mastodon: @pgroth@sigmoid.social
Amsterdam
Joined July 2009
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Paul Groth retweeted
📣 Join us at TRIPLET 2026 @eswc_conf in Dubrovnik!
🌟 Keynote by @pgroth !
🏆 TRIPLET Challenge presentations
🥇 Leaderboard winners announced for Task 1 and Task 2
📅 11 May 2026
🔗 ecladatta.github.io/triplet2…
#TRIPLET2026 #ESWC2026 #SemanticWeb #KnowledgeGraphs #NLP #MultimodalAI
Trip Report: SIGMOD 2025
thinklinks.wordpress.com/202…
Trip Report: ESWC 2025 #eswc2025
thinklinks.wordpress.com/202…
Paul Groth retweeted
Also the Satellite proceedings for #ESWC2024 are out!
Thanks to the whole team @eswc_conf and the General Chair @albertmeronyo
Part I: link.springer.com/book/10.10…
Part II: link.springer.com/book/10.10…
#semanticweb #computerscience #knowledgegraphs #llm
Paul Groth retweeted
📢 New course alert 📢
I am currently teaching a course on "Language Models and Structured Data" at Institut Polytechnique de Paris.
Topics: Language Models, LoRa, Quantization, RAG, Graphs, Tabular Data, Text2SQL
Zenodo: zenodo.org/records/14673347
Paul Groth retweeted
Buckle up because we're crashing into the new year with my annual database retrospective: License change blowbacks! @databricks vs. @SnowflakeDB gangwar! @DuckDB shotgun weddings! Buying a college quarterback with database money for your new lover! cs.cmu.edu/~pavlo/blog/2025/…
Paul Groth retweeted
In our new @PNASNews paper, across 21 experiments with 23,000+ participants, we identify a critical distortion that shapes decisions involving tradeoffs: we find that people systematically overweight quantified information in such decisions. Paper: pnas.org/doi/10.1073/pnas.24… 🧵
Paul Groth retweeted
We have an opening for a PhD student investigating concept drift in sensor rich environments. Come work with the awesome @vdegeler
werkenbij.uva.nl/en/vacancie…
Really proud of @James_G_Nevin - a fantastic PhD student. Was fun to supervise him together with @mhlees . We know that data handling (i.e. data integration, cleaning, etc) can have lots of downstream impacts. Here's evidence.
Congratulations to Dr. @James_G_Nevin who successfully defended his PhD thesis The Ramifications of Data Handling for Computational Models. Check it out:
hdl.handle.net/11245.1/d3da6…
A collaboration with @UvA_CSL in the @UvA_IvI
co-supervised @mhlees @pgroth
Paul Groth retweeted
Brilliant and engaging talk by Teresa Liberatore at #EKAW2024: Influence Beyond Similarity—A Contrastive Learning Approach to Object Influence Retrieval. Insightful ideas and impactful research!
Paul Groth retweeted
We're at #EKAW2024 this week across the street @CWInl . We have two papers: one on object influence retrieval & the other on the impact of entity linking. We also have multiple workshop contributions as well. Info at: indelab.org/news/ @ekawconference
Paul Groth retweeted
Tomorrow the #EKAW2024 party will really kick off, but the proceedings are already available! Click on the link at event.cwi.nl/ekaw2024/ for temporary free access! #semweb #knowledgeengineering #knowledgemanagement #languagemodels #conference @ekawconference
Fascinating talk by @ioanamanol on dealing with all the data models for data journalism at @iswc_conf #ISWC2024 Very cool use of gittables to retrieve names for entities (cc @MadelonHulsebos)
Paul Groth retweeted
We're excited to be at #iswc2024 this week. Come talk to us about our work on knowledge graphs, LLMs, tables, and knowledge engineering: @pgroth @bradleypallen @LiseStork @JanCKalo . @iswc_conf @lm_kbc
Paul Groth retweeted
This is the best paper written so far about the impact of AI on scientific discovery
Readers added context they thought people might want to know
There seem to be grave concerns about the integrity of the research.
MIT announced that they "conducted an internal, confidential review and concluded that the paper should be withdrawn from public discourse."
economics.mit.edu/news/assuring-…
wsj.com/tech/ai/mit-sa…
Paul Groth retweeted
🚨 What’s the best way to select data for fine-tuning LLMs effectively?
📢Introducing ZIP-FIT—a compression-based data selection framework that outperforms leading baselines, achieving up to 85% faster convergence in cross-entropy loss, and selects data up to 65% faster.
🧵1/8
We have an amazing community around AI and data science here @UvA_Amsterdam @ai4science_lab @sobedsc @BibliotheekUvA
Recap of our 2024 #DataScience Day - 5 events across 5 sites at the university. dsc.uva.nl/content/news/2024…


















