SOTAVerified

Natural Language Queries

Papers

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Showing 201–250 of 337 papers

TitleStatusHype
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries—0
NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries—0
NL2KQL: From Natural Language to Kusto Query—0
nvBench 2.0: A Benchmark for Natural Language to Visualization under Ambiguity—0
A natural language interface to a graph-based bibliographic information retrieval system—0
On the Combined Use of Extrinsic Semantic Resources for Medical Information Search—0
On the Effectiveness of Pretrained Models for API Learning—0
Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models—0
Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering—0
A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs—0
Combining knowledge graphs and LLMs for hazardous chemical information management and reuse—0
xDBTagger: Explainable Natural Language Interface to Databases Using Keyword Mappings and Schema Graph—0
Pragmatic approach to structured data querying via natural language interface—0
Prolog-based agnostic explanation module for structured pattern classification—0
Prompting Large Language Models to Reformulate Queries for Moment Localization—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Q2R: A Query-to-Resolution System for Natural-Language Queries—0
Quda: Natural Language Queries for Visual Data Analytics—0
CodeDSI: Differentiable Code Search—0
QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries—0
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding—0
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding—0
CL Scholar: The ACL Anthology Knowledge Graph Miner—0
A Japanese Chess Commentary Corpus—0
Clone-Seeker: Effective Code Clone Search Using Annotations—0
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy—0
Using Linguistic Analysis to Translate Arabic Natural Language Queries to SPARQL—0
Case-based Reasoning for Natural Language Queries over Knowledge Bases—0
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter—0
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation—0
Can Language Models Act as Knowledge Bases at Scale?—0
Redefining Developer Assistance: Through Large Language Models in Software Ecosystem—0
Bring Remote Sensing Object Detect Into Nature Language Model: Using SFT Method—0
ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
Using LLMs in Software Requirements Specifications: An Empirical Evaluation—0
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval—0
Research Trends for the Interplay between Large Language Models and Knowledge Graphs—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
Retrieving Time-Series Differences Using Natural Language Queries—0
Reversing The Twenty Questions Game—0
Bridging the Gap: Enabling Natural Language Queries for NoSQL Databases through Text-to-NoSQL Translation—0
Beyond Fine-Tuning: Effective Strategies for Mitigating Hallucinations in Large Language Models for Data Analytics—0
RH-SQL: Refined Schema and Hardness Prompt for Text-to-SQL—0
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation—0
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?—0
Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts—0
Robust Text-to-Cypher Using Combination of BERT, GraphSAGE, and Transformer (CoBGT) Model—0
BEAVER: An Enterprise Benchmark for Text-to-SQL—0
RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs—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