SOTAVerified

Natural Language Queries

Papers

Showing 26–50 of 337 papers

TitleStatusHype
Knowledge Graph Based Repository-Level Code Generation—0
RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs—0
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural LanguageCode0
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs—0
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment—0
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information—0
Zero-Shot Cross-Domain Code Search without Fine-TuningCode1
GeoRAG: A Question-Answering Approach from a Geographical Perspective—0
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningCode2
EllieSQL: Cost-Efficient Text-to-SQL with Complexity-Aware Routing—0
Retrieving Time-Series Differences Using Natural Language Queries—0
GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics—0
Enhancing Retrieval Systems with Inference-Time Logical Reasoning—0
nvBench 2.0: A Benchmark for Natural Language to Visualization under Ambiguity—0
Datrics Text2SQL. A Framework for Natural Language to SQL Query GenerationCode2
Bring Remote Sensing Object Detect Into Nature Language Model: Using SFT Method—0
SQLCritic: Correcting Text-to-SQL Generation via Clause-wise Critic—0
Improving Access to Trade and Investment Information in Thailand through Intelligent Document Retrieval—0
DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL—0
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question AnsweringCode0
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement—0
QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries—0
A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systems—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