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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LEDD: Large Language Model-Empowered Data Discovery in Data Lakes
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
Toward Conversational Agents with Context and Time Sensitive Long-term Memory
From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice
Generative Benchmark Creation for Table Union Search
StruBERT: Structure-aware BERT for Table Search and Matching
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Learned Sorted Table Search and Static Indexes in Small Model Space
Retrieving Complex Tables with Multi-Granular Graph Representation Learning
Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines
Table Search Using a Deep Contextualized Language Model
Web Table Extraction, Retrieval and Augmentation: A Survey
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search
Scientific Table Search Using Keyword Queries
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.