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 2501–2550 of 4740 papers

TitleStatusHype
PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels—0
POLYGLOT-NER: Massive Multilingual Named Entity Recognition—0
PolyIPA -- Multilingual Phoneme-to-Grapheme Conversion Model—0
Polylingual Tree-Based Topic Models for Translation Domain Adaptation—0
Polyphonic Piano Music Transcription System Exploiting Mutual Correlations of Different Musical Note States—0
PolyU at CL-SciSumm 2016—0
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents—0
Positive unlabeled learning for building recommender systems in a parliamentary setting—0
Postech's System Description for Medical Text Translation Task—0
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation—0
Post Retraction Citations in Context—0
Potential Renovation of Information Search Process with the Power of Large Language Model for Healthcare—0
Practical User Feedback-driven Internal Search Using Online Learning to Rank—0
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models—0
Pragmatic approach to structured data querying via natural language interface—0
Precise Information Retrieval Exploiting Predicate-Argument Structures—0
Precision-Recall Balanced Topic Modelling—0
Predicting Answer Location Using Shallow Semantic Analogical Reasoning in a Factoid Question Answering System—0
Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints—0
Predicting Document Coverage for Relation Extraction—0
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection—0
Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam—0
Predicting Relevance based on Assessor Disagreement: Analysis and Practical Applications for Search Evaluation—0
Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases—0
Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages—0
Predicting the relevance of distributional semantic similarity with contextual information—0
Prediction of the Realisation of an Information Need: An EEG Study—0
Preface to the Special Issue of the TAL Journal on Scholarly Document Processing—0
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata—0
Preliminary Exploration of Formula Embedding for Mathematical Information Retrieval: can mathematical formulae be embedded like a natural language?—0
Preserving Multilingual Quality While Tuning Query Encoder on English Only—0
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?—0
Pre-training Methods in Information Retrieval—0
Pre-training Tasks for Embedding-based Large-scale Retrieval—0
Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese—0
Prior Disambiguation of Word Tensors for Constructing Sentence Vectors—0
Privacy in Open Search: A Review of Challenges and Solutions—0
Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions—0
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning—0
Private Counterfactual Retrieval—0
Private Counterfactual Retrieval With Immutable Features—0
Private Information Retrieval from MDS Coded Data with Colluding Servers: Settling a Conjecture by Freij-Hollanti et al.—0
Private Linear Transformation: The Joint Privacy Case—0
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges—0
Probabilistic Blocking with An Application to the Syrian Conflict—0
Probabilistic Hierarchical Clustering of Morphological Paradigms—0
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data—0
Probing Pretrained Language Models with Hierarchy Properties—0
Understanding Ranking LLMs: A Mechanistic Analysis for Information Retrieval—0
Proceedings of FACTS-IR 2019—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