SOTAVerified

Natural Language Queries

Papers

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 Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy—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
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts—0
Combining knowledge graphs and LLMs for hazardous chemical information management and reuse—0
Using Linguistic Analysis to Translate Arabic Natural Language Queries to SPARQL—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
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations—0
Clone-Seeker: Effective Code Clone Search Using Annotations—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
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