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 5401–5450 of 14297 papers

TitleStatusHype
ProCIS: A Benchmark for Proactive Retrieval in ConversationsCode0
Automatic Generation of Model and Data Cards: A Step Towards Responsible AICode0
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval—0
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models—0
Explaining Text Similarity in Transformer ModelsCode0
Redefining Information Retrieval of Structured Database via Large Language Models—0
LOC-ZSON: Language-driven Object-Centric Zero-Shot Object Retrieval and Navigation—0
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems—0
LLMs Can Patch Up Missing Relevance Judgments in Evaluation—0
Automated Conversion of Static to Dynamic Scheduler via Natural Language—0
All in One Framework for Multimodal Re-identification in the Wild—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
XAMPLER: Learning to Retrieve Cross-Lingual In-Context ExamplesCode0
You Only Cache Once: Decoder-Decoder Architectures for Language ModelsCode0
ChuXin: 1.6B Technical Report—0
Graded Relevance Scoring of Written Essays with Dense Retrieval—0
ChatSOS: Vector Database Augmented Generative Question Answering Assistant in Safety Engineering—0
Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models—0
Leveraging Medical Foundation Model Features in Graph Neural Network-Based Retrieval of Breast Histopathology Images—0
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-TuningCode0
Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures—0
Contextualization with SPLADE for High Recall RetrievalCode0
FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference—0
Topicwise Separable Sentence Retrieval for Medical Report Generation—0
COM3D: Leveraging Cross-View Correspondence and Cross-Modal Mining for 3D Retrieval—0
CleanGraph: Human-in-the-loop Knowledge Graph Refinement and CompletionCode0
ERATTA: Extreme RAG for Table To Answers with Large Language Models—0
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning—0
Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded DialogueCode0
Online electricity billing project report.—0
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders—0
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval—0
Knowledge-aware Text-Image Retrieval for Remote Sensing Images—0
Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation—0
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization—0
Beyond Relevance: Evaluate and Improve Retrievers on Perspective AwarenessCode0
IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data—0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents—0
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval ModelsCode0
Semi-Parametric Retrieval via Binary Bag-of-Tokens IndexCode0
Comparative Analysis of Retrieval Systems in the Real World—0
TOPICAL: TOPIC Pages AutomagicaLlyCode0
CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation—0
Attribution in Scientific Literature: New Benchmark and Methods—0
Distillation for Multilingual Information Retrieval—0
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"—0
Language Fairness in Multilingual Information RetrievalCode0
PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval—0
GAIA: A General AI Assistant for Intelligent Accelerator Operations—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