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 951–975 of 4740 papers

TitleStatusHype
Information Discovery in e-Commerce—0
ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation—0
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks—0
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs—0
Ordinal Preference Optimization: Aligning Human Preferences via NDCGCode0
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation—0
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues—0
SoundSignature: What Type of Music Do You Like?—0
Unified Multimodal Interleaved Document Representation for Retrieval—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale—0
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers—0
Streamlining Conformal Information Retrieval via Score Refinement—0
HATFormer: Historic Handwritten Arabic Text Recognition with Transformers—0
Simplifying complex machine learning by linearly separable network embedding spaces—0
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis—0
ThreatGram 101 - Extreme Telegram Replies Data with Threat LevelsCode0
Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models—0
Generative Retrieval Meets Multi-Graded Relevance—0
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study—0
CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis—0
Disentangling Questions from Query Generation for Task-Adaptive Retrieval—0
AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment—0
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval—0
IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation ScenariosCode0
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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