5 papers
MaDI-Bench: An End-to-End Data Integration Benchmark
Aaron Steiner, Ralph Peeters, Christian Bizer
Data integration combines heterogeneous data sets into a single, coherent representation. Data integration involves a sequence of interdependent tasks including schema matching, va…
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…
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…
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…
Entity Matching using Large Language Models
Ralph Peeters, Aaron Steiner, Christian Bizer
Entity matching is the task of deciding whether two entity descriptions refer to the same real-world entity. Entity matching is a central step in most data integration pipelines. M…