Paul Groth

professor - university of amsterdam. thinking: data, links, remixing, knowledge, provenance, espresso. My opinions.

Mastodon: @[email protected]

[Paul Groth @pgroth]

Raymond Chandler 1944 on research communication

[Raphaël Troncy @rtroncy]

📣 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
🔗 https://t.co/23MvUhZ1G1
#TRIPLET2026 #ESWC2026 #SemanticWeb #KnowledgeGraphs #NLP #MultimodalAI

[Paul Groth @pgroth]

Trip Report: SIGMOD 2025
https://t.co/m596Ovdf4K

[Paul Groth @pgroth]

Trip Report: ESWC 2025 #eswc2025

https://t.co/TYmeOS2WNo

[Pasquale Lisena @PasqLisena]

Also the Satellite proceedings for #ESWC2024 are out!
Thanks to the whole team @eswc_conf and the General Chair @albertmeronyo

Part I: https://t.co/wyJlgWtvMo

Part II: https://t.co/6Uba4UImT3

#semanticweb #computerscience #knowledgegraphs #llm

[Mehwish Alam @em_alam]

📢 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: https://t.co/wVeHwCeOlm

[Andy Pavlo (@andypavlo.bsky.social) @andy_pavlo]

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! https://t.co/NnFHGElFNy

[Linda Chang @iamlindachang]

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: https://t.co/q6bgaJpEPq 🧵

[Intelligent Data Engineering Lab @INDE_LAB_AMS]

We have an opening for a PhD student investigating concept drift in sensor rich environments. Come work with the awesome @vdegeler

https://t.co/simCZyuaZb

[Paul Groth @pgroth]

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.

[Intelligent Data Engineering Lab @INDE_LAB_AMS]

Congratulations to Dr. @James_G_Nevin who successfully defended his PhD thesis The Ramifications of Data Handling for Computational Models. Check it out:
https://t.co/BnqVyhREpx

A collaboration with @UvA_CSL in the @UvA_IvI
co-supervised @mhlees @pgroth

[Andrii @alsx]

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!

[Intelligent Data Engineering Lab @INDE_LAB_AMS]

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: https://t.co/o3wGU6tW6s @ekawconference

[Marieke van Erp @merpeltje]

Tomorrow the #EKAW2024 party will really kick off, but the proceedings are already available! Click on the link at https://t.co/y7qZTVCqB2 for temporary free access! #semweb #knowledgeengineering #knowledgemanagement #languagemodels #conference @ekawconference

[Paul Groth @pgroth]

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)

[Intelligent Data Engineering Lab @INDE_LAB_AMS]

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

[Caleb Watney @calebwatney]

This is the best paper written so far about the impact of AI on scientific discovery

[Elyas Obbad @ObbadElyas]

🚨 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

[Paul Groth @pgroth]

We have an amazing community around AI and data science here @UvA_Amsterdam @ai4science_lab @sobedsc @BibliotheekUvA

[UvA_DSC @uva_dsc]

Recap of our 2024 #DataScience Day - 5 events across 5 sites at the university. https://t.co/8RMe0O63gQ