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 80518100 of 14297 papers

TitleStatusHype
Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model0
HARMONIC: A Framework for Explanatory Cognitive Robots0
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning0
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems0
Conversation Initiation by Diverse News Contents Introduction0
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval0
Hard Example Guided Hashing for Image Retrieval0
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems0
HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals0
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval0
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation0
A Transformer-Based Visual Piano Transcription Algorithm0
Handwritten Amharic Character Recognition System Using Convolutional Neural Networks0
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network0
Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval0
Handwriting Recognition in Low-resource Scripts using Adversarial Learning0
Conversational Search for Learning Technologies0
A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation0
A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search0
Making Large Language Models A Better Foundation For Dense Retrieval0
Hamming Sentence Embeddings for Information Retrieval0
Hamming Distance Metric Learning0
Conversational Search -- A Report from Dagstuhl Seminar 194610
Making question answering more robust through relevant context selection0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline0
A Transformer-based Embedding Model for Personalized Product Search0
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers0
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning0
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval0
Hakim: Farsi Text Embedding Model0
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning0
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation0
A machine vision meta-algorithm for automated recognition of underwater objects using sidescan sonar imagery0
mAnI: Movie Amalgamation using Neural Imitation0
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment0
MAP: Microblogging Assisted Profiling of TV Shows0
Adaptive Cross Batch Normalization for Metric Learning0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches0
A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval0
Rethinking Loss Design for Large-scale 3D Shape Retrieval0
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment0
Mapping Visual Features to Semantic Profiles for Retrieval in Medical Imaging0
Hadamard Codebook Based Deep Hashing0
MARAGE: Transferable Multi-Model Adversarial Attack for Retrieval-Augmented Generation Data Extraction0
MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering0
mARC: Memory by Association and Reinforcement of Contexts0
Habit Coach: Customising RAG-based chatbots to support behavior change0
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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