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Found 2 papers, 2 papers with code
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search
Recently, several approaches successfully demonstrated that weight-sharing Neural Architecture Search (NAS) can effectively explore a search space of elastic low-rank adapters (LoRA), allowing the parameter-efficient fine-tuning (PEFT) and compression of large language models.
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
The key lies in the generalizability of (i) the encoding method to model the question and the database schema and (ii) the question-schema linking method to learn the mapping between words in the question and tables/columns in the database schema.
Ranked #4 on
Text-To-SQL
on spider
(Exact Match Accuracy (Test) metric)
