2 citations · 2 across the 6 of their papers we have counts for
7 papers · 1 filter
Entity Matching using Decision Models
Aaron Steiner, Ralph Peeters, Christian Bizer
Entity matching is the task of deciding whether two records describe the same real-world entity. Current entity matching methods rely on pre-trained language models (PLMs) which re…
Billiger.de Products: A Bilingual Entity Matching Benchmark
Aaron Steiner, Ksenia Elagin, Ralph Peeters +2
Existing product matching benchmarks primarily contain English-language product data and are often dominated by a single product category, such as electronics. This paper introduce…
Labeling Training Data for Entity Matching Using Large Language Models
Aaron Steiner, Christian Bizer
Large language models (LLMs) achieve strong entity matching performance without task-specific training data, but applying them to large sets of candidate pairs is slow and costly.…
Automatic End-to-End Data Integration using Large Language Models
Aaron Steiner, Christian Bizer
Designing data integration pipelines typically requires substantial manual effort from data engineers to configure pipeline components and label training data. While LLMs have show…
MCP vs RAG vs NLWeb vs HTML: A Comparison of the Effectiveness and Efficiency of Different Agent Interfaces to the Web (Technical Report)
Aaron Steiner, Ralph Peeters, Christian Bizer
Large language model agents are increasingly used to automate web tasks such as product search, offer comparison, and checkout. Current research explores different interfaces throu…
WebMall -- A Multi-Shop Benchmark for Evaluating Web Agents
Ralph Peeters, Aaron Steiner, Luca Schwarz +2
LLM-based web agents have the potential to automate long-running web tasks, such as searching for products in multiple e-shops and subsequently ordering the cheapest products that…
Fine-tuning Large Language Models for Entity Matching
Aaron Steiner, Ralph Peeters, Christian Bizer
Generative large language models (LLMs) are a promising alternative to pre-trained language models for entity matching due to their high zero-shot performance and ability to genera…