SOTAVerified

Natural Language Queries

Papers

Showing 301325 of 337 papers

TitleStatusHype
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic ParsingCode0
Knowledge Base Question Answering for Space Debris QueriesCode0
Relevance-based Margin for Contrastively-trained Video Retrieval ModelsCode0
DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data VisualizationCode0
DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQLCode0
Interactive Data Analysis with Next-step Natural Language Query RecommendationCode0
V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and SuggestionsCode0
CURIE: An Iterative Querying Approach for Reasoning About SituationsCode0
Improving Personalized Search with Regularized Low-Rank Parameter UpdatesCode0
G-VOILA: Gaze-Facilitated Information Querying in Daily ScenariosCode0
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational DatabasesCode0
Cross-Modal Interaction Networks for Query-Based Moment Retrieval in VideosCode0
Generating Natural Language Queries for More Effective Systematic Review Screening PrioritisationCode0
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural LanguageCode0
Benchmarking and Improving Text-to-SQL Generation under AmbiguityCode0
Function Assistant: A Tool for NL Querying of APIsCode0
Constructing Multilingual Code Search Dataset Using Neural Machine TranslationCode0
Rudder: A Cross Lingual Video and Text Retrieval DatasetCode0
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language QueriesCode0
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-trainingCode0
Sangrahaka: A Tool for Annotating and Querying Knowledge GraphsCode0
A Transfer-Learnable Natural Language Interface for DatabasesCode0
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health RecordsCode0
A Split-and-Recombine Approach for Follow-up Query AnalysisCode0
A Simple Transformer-Based Model for Ego4D Natural Language Queries ChallengeCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EgoVideoR@1 Mean(0.3 and 0.5)23.68Unverified
2DeCafNet-100%R@1 Mean(0.3 and 0.5)18.86Unverified
3DeCafNet-50%R@1 Mean(0.3 and 0.5)17.93Unverified
4RGNetR@1 Mean(0.3 and 0.5)16.55Unverified
5DeCafNet-50% (no NaQ)R@1 Mean(0.3 and 0.5)15.32Unverified
6InternVideoR@1 Mean(0.3 and 0.5)13.26Unverified
7EgoVLPv2R@1 IoU=0.312.95Unverified
8UniMD+Sync.R@1 Mean(0.3 and 0.5)12.11Unverified
9ReLER@ZJU-AlibabaR@1 Mean(0.3 and 0.5)10.52Unverified
10EgoVLPR@1 Mean(0.3 and 0.5)8.35Unverified