SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 9376–9400 of 14297 papers

TitleStatusHype
CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning—0
Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods—0
CHIC: Corporate Document for Visual question Answering—0
Chinese Characters Mapping Table of Japanese, Traditional Chinese and Simplified Chinese—0
Chinese Movie Dialogue Question Answering Dataset—0
ChipNeMo: Domain-Adapted LLMs for Chip Design—0
Choppy: Cut Transformer For Ranked List Truncation—0
Chord Recognition- Music and Audio Information Retrieval—0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models—0
Chunk-Distilled Language Modeling—0
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems—0
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation—0
ChuXin: 1.6B Technical Report—0
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization—0
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning—0
CIMON: Towards High-quality Hash Codes—0
CIR at the NTCIR-17 ULTRE-2 Task—0
Circuit Diagram Retrieval Based on Hierarchical Circuit Graph Representation—0
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval—0
Citations as Queries: Source Attribution Using Language Models as Rerankers—0
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Claim Verification in the Age of Large Language Models: A Survey—0
Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified