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 2926–2950 of 4740 papers

TitleStatusHype
Somm: Into the Model—0
CAS: French Corpus with Clinical Cases—0
Learning Hash Codes via Hamming Distance Targets—0
Smart vs. Solid Solutions in Computational Linguistics---Machine Translation or Information Retrieval—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents—0
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension—0
Learning Neural Representation for CLIR with Adversarial Framework—0
Knowledge Graph Embedding with Hierarchical Relation Structure—0
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition—0
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper—0
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management—0
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction—0
LeNER-Br: a Dataset for Named Entity Recognition in Brazilian Legal TextCode0
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned—0
Answering Science Exam Questions Using Query Rewriting with Background Knowledge—0
Commentary on Quantum-Inspired Information Retrieval—0
Detection-by-Localization: Maintenance-Free Change Object Detector—0
Skeleton-to-Response: Dialogue Generation Guided by Retrieval MemoryCode0
EXS: Explainable Search Using Local Model Agnostic Interpretability—0
Zoom: SSD-based Vector Search for Optimizing Accuracy, Latency and Memory—0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—0
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing—0
edge2vec: Representation learning using edge semantics for biomedical knowledge discoveryCode0
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question AnsweringCode0
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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