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 1701–1750 of 4740 papers

TitleStatusHype
Unified Approach to Secret Sharing and Symmetric Private Information Retrieval with Colluding Servers in Quantum Systems—0
Optimizing Test-Time Query Representations for Dense RetrievalCode1
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-EncoderCode2
Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust ModelsCode0
Towards Tracing Factual Knowledge in Language Models Back to the Training DataCode1
Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense RetrievalCode1
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance RankingCode0
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System—0
PLAID: An Efficient Engine for Late Interaction RetrievalCode4
Health Information Retrieval -- State of the art report—0
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
CascadER: Cross-Modal Cascading for Knowledge Graph Link PredictionCode1
Differentiable SAR Renderer and SAR Target Reconstruction—0
Causal Estimation of Position Bias in Recommender Systems Using Marketplace Instruments—0
Single-Server Private Information Retrieval with Side Information Under Arbitrary Popularity Profiles—0
Recommending Research Papers to Chemists: A Specialized Interface for Chemical Entity Exploration—0
UL2: Unifying Language Learning ParadigmsCode1
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective—0
Vector Representations of Idioms in Conversational Systems—0
Better Retrieval May Not Lead to Better Question Answering—0
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
Collective Relevance Labeling for Passage RetrievalCode0
MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural RetrievalCode0
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
Hyperbolic Relevance Matching for Neural Keyphrase ExtractionCode1
Compound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain—0
Exploration of the possibility of infusing Social Media Trends into generating NFT Recommendations—0
A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression ExtractionCode0
Retrieval-Enhanced Machine Learning—0
ORCAS-I: Queries Annotated with Intent using Weak SupervisionCode0
Textual Stylistic Variation: Choices, Genres and Individuals—0
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers—0
Joint Multisided Exposure Fairness for RecommendationCode0
Semantic Information Recovery in Wireless NetworksCode1
Unaligned Supervision For Automatic Music Transcription in The WildCode1
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information—0
PLOD: An Abbreviation Detection Dataset for Scientific DocumentsCode1
Offline Retrieval Evaluation Without Evaluation MetricsCode0
Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms—0
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information RetrievalCode0
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of ExplanationsCode1
Faster Learned Sparse Retrieval with Guided TraversalCode0
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span PredictionCode1
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box ModelsCode0
Autoregressive Search Engines: Generating Substrings as Document IdentifiersCode2
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion—0
A Summary of the ALQAC 2021 Competition—0
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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