SOTAVerified

Information Retrieval

Information retrieval is the task of ranking a list of documents or search results in response to a query

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Papers

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Showing 1476–1500 of 4740 papers

TitleStatusHype
Variance-Aware Regret Bounds for Stochastic Contextual Dueling BanditsCode0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback—0
Using Weak Supervision and Data Augmentation in Question Answering—0
Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization—0
Fine-tuning and aligning question answering models for complex information extraction tasks—0
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTsCode0
Performance Conditioning for Diffusion-Based Multi-Instrument Music Synthesis—0
Towards Robust and Truly Large-Scale Audio-Sheet Music Retrieval—0
SE-PEF: a Resource for Personalized Expert FindingCode0
Motif-Centric Representation Learning for Symbolic MusicCode0
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change—0
Selecting which Dense Retriever to use for Zero-Shot Search—0
Bridging Dense and Sparse Maximum Inner Product Search—0
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and DatasetsCode0
Zero-shot Audio Topic Reranking using Large Language Models—0
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data GenerationCode0
Long-Range Transformer Architectures for Document UnderstandingCode0
Streamlined Data Fusion: Unleashing the Power of Linear Combination with Minimal Relevance Judgments—0
Retrieving Evidence from EHRs with LLMs: Possibilities and ChallengesCode0
Denoising Attention for Query-aware User Modeling in Personalized Search—0
A Survey on Multi-Behavior Sequential Recommendation—0
Improving Neural Ranking Models with Traditional IR MethodsCode0
Learning Efficient Representations for Image-Based Patent Retrieval—0
LLM2KB: Constructing Knowledge Bases using instruction tuned context aware Large Language ModelsCode0
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All datasetsBSARDMS MARCOCQADupStackTREC-PMAmazonMSLR WEB30KMSMARCOMTEBNews HeadlinesOhsumed

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-tower Bi-Encoder (RoBERTa)Recall@10074.78—Unverified
2Siamese Bi-Encoder (RoBERTa)Recall@10071.63—Unverified
3BM25Recall@10051.33—Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAE v2MRR@1042.58—Unverified
2ConAE-256Time (ms)0.33—Unverified
3ConAE-128Time (ms)0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BmAP@1000.16—Unverified
2TSDAEmAP@1000.15—Unverified
#ModelMetricClaimedVerifiedStatus
1hpipubcommoninfNDCG0.56—Unverified
2hpictallinfNDCG0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1MINDHR@300.32—Unverified
#ModelMetricClaimedVerifiedStatus
1Distilled NetworknDCG@100.53—Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAEMRR@100.42—Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-5.8B-msmarconDCG@1050.25—Unverified
#ModelMetricClaimedVerifiedStatus
1Information Retrieval + SVM1:1 Accuracy83.79—Unverified
#ModelMetricClaimedVerifiedStatus
1BERT+CONCEPT FILTERNDCG0.25—Unverified