SOTAVerified

Natural Language Queries

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 337 papers

TitleStatusHype
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling—0
ObjectNLQ @ Ego4D Episodic Memory Challenge 2024Code0
V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and SuggestionsCode0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
Localizing Events in Videos with Multimodal Queries—0
RH-SQL: Refined Schema and Hardness Prompt for Text-to-SQL—0
Research Trends for the Interplay between Large Language Models and Knowledge Graphs—0
SoccerRAG: Multimodal Soccer Information Retrieval via Natural QueriesCode0
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAGCode0
Harnessing Business and Media Insights with Large Language Models—0
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter—0
G-VOILA: Gaze-Facilitated Information Querying in Daily ScenariosCode0
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation—0
Multi-hop Question Answering over Knowledge Graphs using Large Language Models—0
Using LLMs in Software Requirements Specifications: An Empirical Evaluation—0
EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions—0
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational DatabasesCode0
NL2KQL: From Natural Language to Kusto Query—0
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding—0
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding—0
DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries—0
DFIN-SQL: Integrating Focused Schema with DIN-SQL for Superior Accuracy in Large-Scale Databases—0
Can Language Models Act as Knowledge Bases at Scale?—0
From Text to CQL: Bridging Natural Language and Corpus Search Engine—0
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries—0
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Benchmark Results

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