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 1326–1350 of 4740 papers

TitleStatusHype
Global-Liar: Factuality of LLMs over Time and Geographic Regions—0
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning—0
Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial Training—0
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Ta'keed: The First Generative Fact-Checking System for Arabic Claims—0
Query Exposure Prediction for Groups of Documents in Rankings—0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
Enhancing Image Retrieval : A Comprehensive Study on Photo Search using the CLIP Mode—0
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements—0
Simple Domain Adaptation for Sparse Retrievers—0
An Information Retrieval and Extraction Tool for Covid-19 Related PapersCode0
AI Revolution on Chat Bot: Evidence from a Randomized Controlled Experiment—0
Positive unlabeled learning for building recommender systems in a parliamentary setting—0
On the selection of the correct number of terms for profile construction: theoretical and empirical analysis—0
Publication venue recommendation using profiles based on clustering—0
Comparing Traditional and LLM-based Search for Image Geolocation—0
Knowledge Pyramid: A Novel Hierarchical Reasoning Structure for Generalized Knowledge Augmentation and Inference—0
Automated Answer Validation using Text Similarity—0
InRanker: Distilled Rankers for Zero-shot Information RetrievalCode0
Large Language Models vs. Search Engines: Evaluating User Preferences Across Varied Information Retrieval Scenarios—0
Knowledge Sharing in Manufacturing using Large Language Models: User Evaluation and Model Benchmarking—0
Improving Tag-Clouds as Visual Information Retrieval Interfaces—0
Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers—0
Probabilistic emotion and sentiment modelling of patient-reported experiencesCode0
Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation—0
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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