SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval
Fuente:
arXiv
Saved in:
| Main Authors: | Rahmani, Hossein A., Wang, Xi, Yilmaz, Emine, Craswell, Nick, Mitra, Bhaskar, Thomas, Paul |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthetic Test Collections for Retrieval Evaluation
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Towards Understanding Bias in Synthetic Data for Evaluation
by: Rahmani, Hossein A., et al.
Published: (2025)
by: Rahmani, Hossein A., et al.
Published: (2025)
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Judging the Judges: A Collection of LLM-Generated Relevance Judgements
by: Rahmani, Hossein A., et al.
Published: (2025)
by: Rahmani, Hossein A., et al.
Published: (2025)
LLMJudge: LLMs for Relevance Judgments
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Overview of the TREC 2021 deep learning track
by: Craswell, Nick, et al.
Published: (2025)
by: Craswell, Nick, et al.
Published: (2025)
Towards Group-aware Search Success
by: Wu, Haolun, et al.
Published: (2024)
by: Wu, Haolun, et al.
Published: (2024)
Overview of the TREC 2023 deep learning track
by: Craswell, Nick, et al.
Published: (2025)
by: Craswell, Nick, et al.
Published: (2025)
Large language models can accurately predict searcher preferences
by: Thomas, Paul, et al.
Published: (2023)
by: Thomas, Paul, et al.
Published: (2023)
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
Overview of the TREC 2022 deep learning track
by: Craswell, Nick, et al.
Published: (2025)
by: Craswell, Nick, et al.
Published: (2025)
Understanding the Role of User Profile in the Personalization of Large Language Models
by: Wu, Bin, et al.
Published: (2024)
by: Wu, Bin, et al.
Published: (2024)
Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
Emancipatory Information Retrieval
by: Mitra, Bhaskar
Published: (2025)
by: Mitra, Bhaskar
Published: (2025)
Overview of the TREC 2025 Retrieval Augmented Generation (RAG) Track
by: Upadhyay, Shivani, et al.
Published: (2026)
by: Upadhyay, Shivani, et al.
Published: (2026)
Search and Society: Reimagining Information Access for Radical Futures
by: Mitra, Bhaskar
Published: (2024)
by: Mitra, Bhaskar
Published: (2024)
REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic Resources
by: Engelmann, Björn, et al.
Published: (2025)
by: Engelmann, Björn, et al.
Published: (2025)
STCALIR: Semi-Synthetic Test Collection for Algerian Legal Information Retrieval
by: Hatem, M'hamed Amine, et al.
Published: (2026)
by: Hatem, M'hamed Amine, et al.
Published: (2026)
Improving Dense Passage Retrieval with Multiple Positive Passages
by: Chang, Shuai
Published: (2025)
by: Chang, Shuai
Published: (2025)
Investigating Multi-layer Representations for Dense Passage Retrieval
by: Xie, Zhongbin, et al.
Published: (2025)
by: Xie, Zhongbin, et al.
Published: (2025)
A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look
by: Upadhyay, Shivani, et al.
Published: (2024)
by: Upadhyay, Shivani, et al.
Published: (2024)
Training Dense Retrievers with Multiple Positive Passages
by: Wang, Benben, et al.
Published: (2026)
by: Wang, Benben, et al.
Published: (2026)
Dense Passage Retrieval in Conversational Search
by: Salamah, Ahmed H., et al.
Published: (2025)
by: Salamah, Ahmed H., et al.
Published: (2025)
KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor
by: Upadhyay, Shivani, et al.
Published: (2024)
by: Upadhyay, Shivani, et al.
Published: (2024)
Dense Passage Retrieval: Is it Retrieving?
by: Reichman, Benjamin, et al.
Published: (2024)
by: Reichman, Benjamin, et al.
Published: (2024)
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
by: Pradeep, Ronak, et al.
Published: (2025)
by: Pradeep, Ronak, et al.
Published: (2025)
Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio
by: McGuire, Niall, et al.
Published: (2026)
by: McGuire, Niall, et al.
Published: (2026)
Passage Query Methods for Retrieval and Reranking in Conversational Agents
by: De Lima, Victor, et al.
Published: (2025)
by: De Lima, Victor, et al.
Published: (2025)
Mixed-initiative Query Rewriting in Conversational Passage Retrieval
by: Yang, Dayu, et al.
Published: (2023)
by: Yang, Dayu, et al.
Published: (2023)
Cohort Retrieval using Dense Passage Retrieval
by: Jadhav, Pranav
Published: (2025)
by: Jadhav, Pranav
Published: (2025)
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
by: Dong, Qian, et al.
Published: (2023)
by: Dong, Qian, et al.
Published: (2023)
Open, to What End? A Capability-Theoretic Perspective on Open Search
by: Neophytou, Nicola, et al.
Published: (2026)
by: Neophytou, Nicola, et al.
Published: (2026)
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
by: McGuire, Niall, et al.
Published: (2024)
by: McGuire, Niall, et al.
Published: (2024)
Recall, Robustness, and Lexicographic Evaluation
by: Diaz, Fernando, et al.
Published: (2023)
by: Diaz, Fernando, et al.
Published: (2023)
DAPR: A Benchmark on Document-Aware Passage Retrieval
by: Wang, Kexin, et al.
Published: (2023)
by: Wang, Kexin, et al.
Published: (2023)
GenTREC: The First Test Collection Generated by Large Language Models for Evaluating Information Retrieval Systems
by: Türkmen, Mehmet Deniz, et al.
Published: (2025)
by: Türkmen, Mehmet Deniz, et al.
Published: (2025)
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
by: Liu, Yifan, et al.
Published: (2025)
by: Liu, Yifan, et al.
Published: (2025)
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval
by: Huang, Suyuan, et al.
Published: (2024)
by: Huang, Suyuan, et al.
Published: (2024)
Similar Items
-
Synthetic Test Collections for Retrieval Evaluation
by: Rahmani, Hossein A., et al.
Published: (2024) -
JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment
by: Rahmani, Hossein A., et al.
Published: (2024) -
Towards Understanding Bias in Synthetic Data for Evaluation
by: Rahmani, Hossein A., et al.
Published: (2025) -
Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024
by: Rahmani, Hossein A., et al.
Published: (2024) -
Judging the Judges: A Collection of LLM-Generated Relevance Judgements
by: Rahmani, Hossein A., et al.
Published: (2025)