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 851–875 of 4740 papers

TitleStatusHype
A Hybrid Approach for Document Layout Analysis in Document images—0
ExcluIR: Exclusionary Neural Information RetrievalCode0
Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI AssistantCode0
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings—0
Make Your LLM Fully Utilize the ContextCode5
URL: Universal Referential Knowledge Linking via Task-instructed Representation CompressionCode0
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry—0
From Matching to Generation: A Survey on Generative Information RetrievalCode3
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces—0
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous DecodingCode1
SPLATE: Sparse Late Interaction Retrieval—0
MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answering—0
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE—0
Evaluation of Machine Translation Based on Semantic Dependencies and Keywords—0
PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering—0
Towards Human-centered Proactive Conversational Agents—0
Multi-Class Quantum Convolutional Neural Networks—0
iRAG: Advancing RAG for Videos with an Incremental Approach—0
De-DSI: Decentralised Differentiable Search IndexCode0
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor SearchCode0
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM EraCode2
TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content—0
Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question AnsweringCode1
VDTuner: Automated Performance Tuning for Vector Data Management SystemsCode1
Towards Compositionally Generalizable Semantic Parsing in Large Language Models: A Survey—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