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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 2901–2950 of 14297 papers

TitleStatusHype
Gate Recurrent Unit for Efficient Industrial Gas Identification—0
Large Language Models Are Cross-Lingual Knowledge-Free ReasonersCode0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
One Thousand and One Pairs: A "novel" challenge for long-context language modelsCode2
Scaling Laws for Linear Complexity Language ModelsCode1
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models—0
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation TrackCode1
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan CommentaryCode0
Breaking the Frame: Visual Place Recognition by Overlap PredictionCode1
Database-Augmented Query Representation for Information Retrieval—0
Multi-Scale Temporal Difference Transformer for Video-Text Retrieval—0
An All-MLP Sequence Modeling Architecture That Excels at CopyingCode0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
Preference Tuning For Toxicity Mitigation Generalizes Across LanguagesCode1
FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language ModelsCode0
Fusing Audio and Metadata Embeddings Improves Language-based Audio Retrieval—0
Multi-Granularity and Multi-modal Feature Interaction Approach for Text Video Retrieval—0
A Survey of Retrieval Algorithms in Ad and Content Recommendation Systems—0
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback—0
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problem—0
R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain ActivityCode0
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs—0
Integrating Knowledge Retrieval and Large Language Models for Clinical Report Correction—0
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics—0
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG SystemsCode0
STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionalsCode1
Towards Retrieval Augmented Generation over Large Video Libraries—0
Retrieval Augmented Zero-Shot Text ClassificationCode0
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document AnalysisCode1
Évaluation des capacités de réponse de larges modèles de langage (LLM) pour des questions d'historiens—0
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering—0
Learning to Retrieve Iteratively for In-Context Learning—0
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization—0
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought—0
Insights into LLM Long-Context Failures: When Transformers Know but Don't TellCode1
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks—0
ACR: A Benchmark for Automatic Cohort Retrieval—0
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation—0
EAGER: Two-Stream Generative Recommender with Behavior-Semantic CollaborationCode1
SEC-QA: A Systematic Evaluation Corpus for Financial QA—0
Latent Functional Maps: a spectral framework for representation alignment—0
CodeRAG-Bench: Can Retrieval Augment Code Generation?Code2
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented GenerationCode0
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMsCode0
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge GraphsCode1
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking—0
Bridging Law and Data: Augmenting Reasoning via a Semi-Structured Dataset with IRAC methodology—0
Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective—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