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 4351–4400 of 4740 papers

TitleStatusHype
Comparative Study of Domain Driven Terms Extraction Using Large Language Models—0
Comparing Apples to Apple: The Effects of Stemmers on Topic Models—0
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics—0
Comparing Fair Ranking Metrics—0
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification—0
Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents—0
Comparing Traditional and LLM-based Search for Image Geolocation—0
Comparing two acquisition systems for automatically building an English---Croatian parallel corpus from multilingual websites—0
Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music—0
Comparison of SMT and NMT trained with large Patent Corpora: Japio at WAT2017—0
Comparison of String Similarity Measures for Obscenity Filtering—0
Comparison of the effects of investor attention using search volume data before and after mobile device popularization—0
Complementarity, F-score, and NLP Evaluation—0
Complementing Lexical Retrieval with Semantic Residual Embedding—0
Composite Code Sparse Autoencoders for first stage retrieval—0
Composition by Conversation—0
Compound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain—0
Comprehensive Review on Semantic Information Retrieval and Ontology Engineering—0
Compression of Deep Learning Models for Text: A Survey—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
Computational Technologies for Fashion Recommendation: A Survey—0
Computing Lexical Contrast—0
Concentric network symmetry grasps authors' styles in word adjacency networks—0
Concept-aware Geographic Information Retrieval—0
Concept Based vs. Pseudo Relevance Feedback Performance Evaluation for Information Retrieval System—0
Concept Embedding for Information Retrieval—0
Concept-oriented labelling of patent images based on Random Forests and proximity-driven generation of synthetic data—0
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes—0
Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning—0
Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders—0
CONDITOR1: Topic Maps and DITA labelling tool for textual documents with historical information—0
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing—0
Consistent Classification Algorithms for Multi-class Non-Decomposable Performance Metrics—0
Consistent Polyhedral Surrogates for Top-k Classification and Variants—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Constructing a Corpus of Japanese Predicate Phrases for Synonym/Antonym Relations—0
Constructing a Japanese Basic Named Entity Corpus of Various Genres—0
Constructing a Question Corpus for Textual Semantic Relations—0
Constructing Chinese Abbreviation Dictionary: A Stacked Approach—0
Construction and Annotation of a French Folkstale Corpus—0
Construction of a Syntactic Analysis Map for Yi Shui School through Text Mining and Natural Language Processing Research—0
Construction of Semantic Collocation Bank Based on Semantic Dependency Parsing—0
Content Based Document Recommender using Deep Learning—0
Content Models for Survey Generation: A Factoid-Based Evaluation—0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
Context-Aware Neural Model for Temporal Information Extraction—0
Context-aware query design combines knowledge and data for efficient reading and reasoning—0
Context-Dependent Automatic Response Generation Using Statistical Machine Translation Techniques—0
Context-Efficient Retrieval with Factual Decomposition—0
Context manipulation attacks : Web agents are susceptible to corrupted memory—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