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Found 4 papers, 2 papers with code
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
In order to maintain equivalence between the rewritten query and the original one during rewriting, traditional query rewrite methods always rewrite the queries following certain rewrite rules.
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
In this paper, we acknowledge the mutual reliance between task ability and language ability and direct our attention toward the gap between the target language and the source language on tasks.
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models
However, to train a contrastive learning model, large numbers of labeled sentences are required to construct positive and negative pairs explicitly, such as those in natural language inference (NLI) datasets.
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation
Recently, data augmentation (DA) methods have been proven to be effective for pre-trained language models (PLMs) in low-resource settings, including few-shot named entity recognition (NER).
