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Natural Language Queries

Papers

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Showing 151–175 of 337 papers

TitleStatusHype
A Proposed Large Language Model-Based Smart Search for Archive System—0
A Socratic RAG Approach to Connect Natural Language Queries on Research Topics with Knowledge Organization Systems—0
A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges—0
A Survey on Employing Large Language Models for Text-to-SQL Tasks—0
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information—0
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations—0
Bag-of-Words Baselines for Semantic Code Search—0
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval—0
Balancing Content Size in RAG-Text2SQL System—0
BEAVER: An Enterprise Benchmark for Text-to-SQL—0
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?—0
Beyond Fine-Tuning: Effective Strategies for Mitigating Hallucinations in Large Language Models for Data Analytics—0
Bridging the Gap: Enabling Natural Language Queries for NoSQL Databases through Text-to-NoSQL Translation—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
SynopGround: A Large-Scale Dataset for Multi-Paragraph Video Grounding from TV Dramas and Synopses—0
Bring Remote Sensing Object Detect Into Nature Language Model: Using SFT Method—0
Can Language Models Act as Knowledge Bases at Scale?—0
Case-based Reasoning for Natural Language Queries over Knowledge Bases—0
Clone-Seeker: Effective Code Clone Search Using Annotations—0
CL Scholar: The ACL Anthology Knowledge Graph Miner—0
CodeDSI: Differentiable Code Search—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Combining knowledge graphs and LLMs for hazardous chemical information management and reuse—0
Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering—0
Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models—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