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

Showing 53265350 of 14297 papers

TitleStatusHype
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language ModelsCode0
Revisiting Neural Retrieval on AcceleratorsCode1
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction0
Natural Language Commanding via Program Synthesis0
Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online EfficiencyCode1
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-TrainingCode1
Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval0
Background-aware Moment Detection for Video Moment RetrievalCode1
SelfEvolve: A Code Evolution Framework via Large Language Models0
Benchmarking Middle-Trained Language Models for Neural Search0
Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System0
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives0
Learning to Relate to Previous Turns in Conversational SearchCode1
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge0
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search BenchmarkCode1
A Study of Situational Reasoning for Traffic UnderstandingCode1
RepoBench: Benchmarking Repository-Level Code Auto-Completion SystemsCode1
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification0
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage RetrievalCode1
Large Language Model Augmented Narrative Driven RecommendationsCode0
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings0
Conflicts, Villains, Resolutions: Towards models of Narrative Media FramingCode0
Collaborative Group: Composed Image Retrieval via Consensus Learning from Noisy Annotations0
Utilizing ChatGPT to Enhance Clinical Trial Enrollment0
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified