#icml-2025 — Public Fediverse posts

Is complex query answering really complex? A paper at the International Conference on Machine Learning (#ICML2025) presented by Cosimo Gregucci, PhD student at @UniStuttgartAI @Uni_Stuttgart, discussed this question.

In this paper, Cosimo Gregucci, Bo Xiong, Daniel Hernández (@daniel), Lorenzo Loconte, Pasquale Minervini (@pminervini), Steffen Staab, and Antonio Vergari (@nolovedeeplearning) reveal that the “good” performance of SoTA approaches predominantly comes from answers that can be boiled down to single link prediction. Current neural and hybrid solvers can exploit (different) forms of triple memorization to make complex queries much easier. The authors confirm this by reporting the performance of these methods in a stratified analysis and by proposing a hybrid solver, CQD-Hybrid, which, while being a simple extension of an old method like CQD, can be very competitive against other SoTA models.

The paper proposed a way to make query answering benchmarks more challenging in order to advance science.

https://arxiv.org/abs/2410.12537

#KnowledgeGraphs #QueryAnswering #ArtificialIntelligence #MachineLearning #Benchmarking #CQA

Is Complex Query Answering Really Complex? We evaluate models that predict answers to queries over knowledge graphs on a reduced set of standardized benchmarks. This Wednesday at 16:30, Cosimo Gregucci (PhD student at @UniStuttgartAI @Uni_Stuttgart) will discuss this question and our paper at the poster session at the International Conference on Machine Learning #ICML2025.

https://arxiv.org/abs/2410.12537

👋 Attending #ICML2025 next week?

Don't forget to check out work involving our researchers!

🥁 "Training Dynamics of In-Context Learning in Linear Attention" by Yedi Zhang, Aaditya Singh, Peter Latham, @SaxeLab

This work reveals how in-context learning abilities emerge during gradient descent training of linear attention, revealing abrupt acquisition or progressive improvements depending on how the key and query are parametrized.

Spotlight paper at #ICML2025
👉 https://arxiv.org/abs/2501.16265

Cosimo Gregucci (PhD student at @UniStuttgartAI @Uni_Stuttgart) will present our paper "Is Complex Query Answering Really Complex?" at the International Conference on Machine Learning, #ICML2025. We observed that we can answer many of the current benchmarks for complex queries by reducing queries into basic ones. Are they really complex? How could we advance the field by proposing a more complex set of queries?

Old preprint: https://doi.org/10.48550/arXiv.2410.12537

New paper accepted! In which circunstances can we use abundant proxy preferences to quickly learn true preferences? I'm glad to announce our paper explores and proposes a model for one of these cases. Check out more on Yuchen's thread in Bluesky https://bsky.app/profile/zhuyuchen.bsky.social/post/3lo4n2tspys2w . #ICML2025 #ICML