mlsanityData to 7 Oct 2026

TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection

arXiv 2005.04474 ↗First posted 9 May 2020cs.IRcited by 23

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Abstract (arXiv)

TREC-COVID is a community evaluation designed to build a test collection that captures the information needs of biomedical researchers using the scientific literature during a pandemic. One of the key characteristics of pandemic search is the accelerated rate of change: the topics of interest evolve as the pandemic progresses and the scientific literature in the area explodes. The COVID-19 pandemic provides an opportunity to capture this progression as it happens. TREC-COVID, in creating a test collection around COVID-19 literature, is building infrastructure to support new research and technologies in pandemic search.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 May 2020.

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Citing papers per year: 2021: 8; 2022: 3; 2023: 4; 2024: 2; 2025: 4; 2026: 2.

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  1. 2021BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Modelscited by 1,225
  2. 2021ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interactioncited by 464
  3. 2025Practical Poisoning Attacks against Retrieval-Augmented Generationcited by 35
  4. 2021MS MARCO: Benchmarking Ranking Models in the Large-Data Regimecited by 28
  5. 2021Simplified Data Wrangling with ir_datasetscited by 27
  6. 2021Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representationscited by 27
  7. 2022Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reductioncited by 21
  8. 2021CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Examplecited by 19
  9. 2024Large Language Model Benchmarks in Medical Taskscited by 16
  10. 2021Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literaturecited by 6
  11. 2022Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claimscited by 5
  12. 2023Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documentscited by 5
11 more
  1. 2023I3: Intent-Introspective Retrieval Conditioned on Instructionscited by 5
  2. 2025CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrievalcited by 5
  3. 2022Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrievalcited by 4
  4. 2025From Topology to Retrieval: Decoding Embedding Spaces with Unified Signaturescited by 4
  5. 2023PANACEA: An Automated Misinformation Detection System on COVID-19cited by 3
  6. 2023Multivariate Representation Learning for Information Retrievalcited by 3
  7. 2024Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoderscited by 1
  8. 2026m3BERT: A Modern, Multi-lingual, Matryoshka Bidirectional Encodercited by 1
  9. 2021Impact of detecting clinical trial elements in exploration of COVID-19 literaturecited by 0
  10. 2025REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic Resourcescited by 0
  11. 2026Re:CAP - Auditing Retrieval Coverage in Production RAG Pipelinescited by 0