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 5451–5475 of 14297 papers

TitleStatusHype
Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning LogicCode0
KNN-LM Does Not Improve Open-ended Text Generation—0
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation AnalysisCode1
Privacy Implications of Retrieval-Based Language ModelsCode1
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information RetrievalCode0
Mitigating Temporal Misalignment by Discarding Outdated FactsCode0
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy—0
Enabling Large Language Models to Generate Text with CitationsCode2
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies—0
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators—0
Mitigating Test-Time Bias for Fair Image RetrievalCode0
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language ModelsCode2
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders—0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding—0
RetICL: Sequential Retrieval of In-Context Examples with Reinforcement LearningCode1
BM25 Query Augmentation Learned End-to-End—0
Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-rankerCode0
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions—0
Generative Retrieval via Term Set GenerationCode1
When the Music Stops: Tip-of-the-Tongue Retrieval for MusicCode0
DAPR: A Benchmark on Document-Aware Passage RetrievalCode1
Improving Language Models via Plug-and-Play Retrieval Feedback—0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline—0
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on WikipediaCode3
Faster Video Moment Retrieval with Point-Level Supervision—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