SOTAVerified

Document Ranking

Sort documents according to some criterion so that the "best" results appear early in the result list displayed to the user (Source: Wikipedia).

Papers

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Showing 1–25 of 168 papers

TitleStatusHype
Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context InformationCode0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering—0
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization—0
How do Large Language Models Understand Relevance? A Mechanistic Interpretability PerspectiveCode0
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
Distillation and Refinement of Reasoning in Small Language Models for Document Re-rankingCode1
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities—0
On Synthetic Data Strategies for Domain-Specific Generative Retrieval—0
White Hat Search Engine Optimization using Large Language Models—0
Beyond Questions: Leveraging ColBERT for Keyphrase SearchCode0
KeyB2: Selecting Key Blocks is Also Important for Long Document Ranking with Large Language Models—0
Multi-Field Adaptive Retrieval—0
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesCode0
Efficient Document Ranking with Learnable Late Interactions—0
Weighted KL-Divergence for Document Ranking Model Refinement—0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
On the Evaluation of Machine-Generated Reports—0
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document RetrievalCode2
The Surprising Effectiveness of Rankers Trained on Expanded Queries—0
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System—0
RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of TransformersCode1
Measuring Bias in a Ranked List using Term-based Representations—0
Query Augmentation by Decoding Semantics from Brain SignalsCode0
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMsCode0
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All datasetsDaReCzechClueWeb09-B

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Query-doc RobeCzech (Roberta-base)P@1046.73—Unverified
2Query-doc Small-E-Czech (Electra-small)P@1046.3—Unverified
3Siamese Small-E-Czech (Electra-small)P@1045.26—Unverified
#ModelMetricClaimedVerifiedStatus
1XLNetERR@2020.28—Unverified