Webis at Sim4IA 2025: Prediction of Next User Queries as a Sequence-To-Sequence Problem

This record contains the submission from the Webis team. It includes the Lab Note detailing the approaches used, the GitHub repository containing the submitted run files and additional resources, and the presentation delivered during the Lightning Talks, which summarizes the methods and findings of the submission.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-20
DOI
https://doi.org/10.5281/zenodo.16909541
Primary Topic
Information Retrieval and Search Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Webis at Sim4IA 2025: Prediction of Next User Queries as a Sequence-To-Sequence Problem

Marcel Gohsen, Matthias Hagen, Benno Stein
Zenodo (CERN European Organization for Nuclear Research)
Information Retrieval and Search Behavior
article

Webis at Sim4IA 2025: Prediction of Next User Queries as a Sequence-To-Sequence Problem

Marcel Gohsen, Matthias Hagen, Benno Stein
article en

Abstract

This record contains the submission from the Webis team. It includes the Lab Note detailing the approaches used, the GitHub repository containing the submitted run files and additional resources, and the presentation delivered during the Lightning Talks, which summarizes the methods and findings of the submission.

Zenodo (CERN European Organization for Nuclear Research)
Bauhaus-Universität Weimar (DE), Friedrich Schiller University Jena (DE)
Openalex Percentile: Top 13%
Information Retrieval and Search Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.