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 4451–4500 of 14297 papers

TitleStatusHype
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context LearningCode0
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional TrainingCode2
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models—0
Can MusicGen Create Training Data for MIR Tasks?—0
KTRL+F: Knowledge-Augmented In-Document SearchCode1
Summarization-Based Document IDs for Generative Retrieval with Language ModelsCode0
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset—0
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval—0
Predicting Text Preference Via Structured Comparative Reasoning—0
Asking More Informative Questions for Grounded Retrieval—0
Improving Hateful Meme Detection through Retrieval-Guided Contrastive LearningCode1
ChoralSynth: Synthetic Dataset of Choral SingingCode0
Text Retrieval with Multi-Stage Re-Ranking ModelsCode0
Learning to Filter Context for Retrieval-Augmented GenerationCode2
Fine-tuning Language Models for Factuality—0
Automated Fact-Checking in Dialogue: Are Specialized Models Needed?—0
Overview of the TREC 2023 Product Product Search Track—0
REST: Retrieval-Based Speculative DecodingCode2
LLatrieval: LLM-Verified Retrieval for Verifiable GenerationCode1
Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image RetrievalCode0
On Elastic Language Models—0
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning—0
Large Language Models are In-context Teachers for Knowledge Reasoning—0
Retrieval and Generative Approaches for a Pregnancy Chatbot in Nepali with Stemmed and Non-Stemmed Data : A Comparative Study—0
Minimum Description Length Hopfield NetworksCode0
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL—0
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications—0
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking—0
Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users—0
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval—0
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense RetrievalCode1
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers—0
Large Language Models and Prompt Engineering for Biomedical Query Focused Multi-Document Summarisation—0
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsCode2
Text Representation Distillation via Information Bottleneck PrincipleCode0
RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level informationCode1
Cognitively Inspired Components for Social Conversational Agents—0
LLaVA-Plus: Learning to Use Tools for Creating Multimodal AgentsCode2
Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion—0
Training CLIP models on Data from Scientific PapersCode0
Evaluating Generative Ad Hoc Information Retrieval—0
Weakly supervised cross-modal learning in high-content screeningCode1
MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover—0
Noisy Pair Corrector for Dense Retrieval—0
Large Language Model based Long-tail Query Rewriting in Taobao SearchCode3
Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning—0
Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?—0
The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata—0
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
Proceedings of the 5th International Workshop on Reading Music SystemsCode0
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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