SOTAVerified

Information Retrieval

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

( Image credit: sudhanshumittal )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2551–2600 of 4740 papers

TitleStatusHype
UNITOR-CORE\_TYPED: Combining Text Similarity and Semantic Filters through SV Regression—0
Universal Model in Online Customer Service—0
University of Houston at CL-SciSumm 2016: SVMs with tree kernels and Sentence Similarity—0
University\_Of\_Sheffield: Two Approaches to Semantic Text Similarity—0
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling—0
Unlocking Insights: Semantic Search in Jupyter Notebooks—0
Unlocking Legal Knowledge with Multi-Layered Embedding-Based Retrieval—0
Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data—0
UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text—0
Unsupervised and Semi-Supervised Morphological Analysis for Information Retrieval in the Biomedical Domain—0
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval—0
Unsupervised CRF for knowledge discovery (D\'ecouverte de connaissances dans les s\'equences par CRF non-supervis\'es) [in French]—0
Unsupervised dense retrieval with conterfactual contrastive learning—0
Unsupervised Domain Adaption for Neural Information Retrieval—0
Unsupervised Feature Learning for Visual Sign Language Identification—0
Unsupervised Induction of Cross-Lingual Semantic Relations—0
Unsupervised learning for concept detection in medical images: a comparative analysis—0
Unsupervised Learning for Surgical Motion by Learning to Predict the Future—0
Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm—0
Unsupervised Learning of A-Morphous Inflection with Graph Clustering—0
Unsupervised Modeling of Topical Relevance in L2 Learner Text—0
Unsupervised Relation Extraction with General Domain Knowledge—0
Self-Supervised Learning of Context-Aware Pitch Prosody Representations—0
Unsupervised Sparse Vector Densification for Short Text Similarity—0
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval—0
Unsupervised Topic-Specific Domain Dependency Graphs for Aspect Identification in Sentiment Analysis—0
Unsupervised Word Sense Induction using Distributional Statistics—0
UNT: A Supervised Synergistic Approach to Semantic Text Similarity—0
Unveiling Temporal Trends in 19th Century Literature: An Information Retrieval Approach—0
UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity—0
Usability Evaluation for Online Professional Search in the Dutch Archaeology Domain—0
Rapid Probabilistic Interest Learning from Domain-Specific Pairwise Image Comparisons—0
User Edits Classification Using Document Revision Histories—0
User Modeling and User Profiling: A Comprehensive Survey—0
User Profiling Trends, Techniques and Applications—0
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box—0
Using a Cross-Language Information Retrieval System based on OHSUMED to Evaluate the Moses and KantanMT Statistical Machine Translation Systems—0
Making Cross-Domain Recommendations by Associating Disjoint Users and Items Through the Affective Aware Pseudo Association Method—0
Using Arabic Wordnet for semantic indexation in information retrieval system—0
Using a Random Forest Classifier to Compile Bilingual Dictionaries of Technical Terms from Comparable Corpora—0
Using a Random Forest Classifier to recognise translations of biomedical terms across languages—0
Using Argumentative Zones for Extractive Summarization of Scientific Articles—0
Using a Weighted Semantic Network for Lexical Semantic Relatedness—0
Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality—0
Using Entropy Estimates for DAG-Based Ontologies—0
Using Generic Summarization to Improve Music Information Retrieval Tasks—0
Using Linear Classifiers for the Automatic Triage of Posts in the 2016 CLPsych Shared Task—0
Using Parallel Corpora for Word Sense Disambiguation—0
Using paraphrases for improving first story detection in news and Twitter—0
Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions—0
Show:102550
← PrevPage 52 of 95Next →
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