SOTAVerified

Natural Language Queries

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 337 papers

TitleStatusHype
Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement—0
Enhancing Retrieval Systems with Inference-Time Logical Reasoning—0
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study—0
EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions—0
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations—0
Evaluating Cross-Domain Text-to-SQL Models and Benchmarks—0
Evaluating Multi-focus Natural Language Queries over Data Services—0
Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification—0
Fast developing of a Natural Language Interface for a Portuguese WordNet: Leveraging on Sentence Embeddings—0
Faster Video Moment Retrieval with Point-Level Supervision—0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting—0
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries—0
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment—0
FindIt: Generalized Localization with Natural Language Queries—0
From Natural Language to Ontology Population in the Cultural Heritage Domain. A Computational Linguistics-based approach.—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
Retrieving Time-Series Differences Using Natural Language Queries—0
Reversing The Twenty Questions Game—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
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
RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs—0
Schema Aware Semantic Reasoning for Interpreting Natural Language Queries in Enterprise Settings—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