:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Engelmann, Björn, Haak, Fabian, Schaer, Philipp, Abdoust, Mani Erfanian, Netze, Linus, Bittkowski, Meik
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2504.07584
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Investigating Bias in Political Search Query Suggestions by Relative Comparison with LLMs
by: Haak, Fabian, et al.
Published: (2024)

Auditing Search Query Suggestion Bias Through Recursive Algorithm Interrogation
by: Haak, Fabian, et al.
Published: (2026)

Formalized Information Needs Improve Large-Language-Model Relevance Judgments
by: Keller, Jüri, et al.
Published: (2026)

Pairwise Comparison for Bias Identification and Quantification
by: Haak, Fabian, et al.
Published: (2025)

Evaluation of Temporal Change in IR Test Collections
by: Keller, Jüri, et al.
Published: (2024)

Perception-Aware Bias Detection for Query Suggestions
by: Haak, Fabian, et al.
Published: (2026)

Context-Driven Interactive Query Simulations Based on Generative Large Language Models
by: Engelmann, Björn, et al.
Published: (2023)

Replicability Measures for Longitudinal Information Retrieval Evaluation
by: Keller, Jüri, et al.
Published: (2024)

Dynamics in Search Engine Query Suggestions for European Politicians
by: Pradel, Franziska, et al.
Published: (2026)

Synthetic Test Collections for Retrieval Evaluation
by: Rahmani, Hossein A., et al.
Published: (2024)

STCALIR: Semi-Synthetic Test Collection for Algerian Legal Information Retrieval
by: Hatem, M'hamed Amine, et al.
Published: (2026)

Simplified Longitudinal Retrieval Experiments: A Case Study on Query Expansion and Document Boosting
by: Keller, Jüri, et al.
Published: (2025)

SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval
by: Rahmani, Hossein A., et al.
Published: (2024)

Validating Search Query Simulations: A Taxonomy of Measures
by: Kruff, Andreas Konstantin, et al.
Published: (2026)

Evaluating Contrastive Feedback for Effective User Simulations
by: Kruff, Andreas Konstantin, et al.
Published: (2025)

Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries
by: Erfanian, Mahdi, et al.
Published: (2024)

Sim4IA-Bench: A User Simulation Benchmark Suite for Next Query and Utterance Prediction
by: Kruff, Andreas Konstantin, et al.
Published: (2025)

LISP -- A Rich Interaction Dataset and Loggable Interactive Search Platform
by: Friese, Jana Isabelle, et al.
Published: (2026)

Scientometric Analysis of the German IR Community within TREC & CLEF
by: Kruff, A. K., et al.
Published: (2025)

Counterfactual Query Rewriting to Use Historical Relevance Feedback
by: Keller, Jüri, et al.
Published: (2025)

Nano-ESG: Extracting Corporate Sustainability Information from News Articles
by: Billert, Fabian, et al.
Published: (2024)

SPECTRA: Synthetic IR Test Collections with Relevance Oracles and Controlled Distractor Diagnostics
by: Liang, Eric
Published: (2026)

Building an Explainable Graph-based Biomedical Paper Recommendation System (Technical Report)
by: Kroll, Hermann, et al.
Published: (2024)

GenTREC: The First Test Collection Generated by Large Language Models for Evaluating Information Retrieval Systems
by: Türkmen, Mehmet Deniz, et al.
Published: (2025)

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
by: Li, Xiaopeng, et al.
Published: (2024)

Improving the Reusability of Conversational Search Test Collections
by: Abbasiantaeb, Zahra, et al.
Published: (2025)

Test-Time Training for Zero-Resource Dense Retrieval Reranking
by: Liu, Shiyan, et al.
Published: (2026)

Second SIGIR Workshop on Simulations for Information Access (Sim4IA 2025)
by: Schaer, Philipp, et al.
Published: (2025)

Variations in Relevance Judgments and the Shelf Life of Test Collections
by: Parry, Andrew, et al.
Published: (2025)

Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems
by: McKechnie, Jack, et al.
Published: (2025)

Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
by: Stuhlmann, Linus, et al.
Published: (2025)

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
by: Sinha, Aarush
Published: (2025)

DSEBench: A Test Collection for Explainable Dataset Search with Examples
by: Shi, Qing, et al.
Published: (2025)

Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms
by: Dietz, Linus W., et al.
Published: (2023)

Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets
by: Bobadilla, Jesús, et al.
Published: (2024)

Towards Reliable Testing for Multiple Information Retrieval System Comparisons
by: Otero, David, et al.
Published: (2025)

On Synthetic Data Strategies for Domain-Specific Generative Retrieval
by: Wen, Haoyang, et al.
Published: (2025)

Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
by: Gao, Cheng, et al.
Published: (2024)

AudioBoost: Increasing Audiobook Retrievability in Spotify Search with Synthetic Query Generation
by: Palumbo, Enrico, et al.
Published: (2025)

Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search
by: Ling, Gui, et al.
Published: (2026)