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Found 4 papers, 2 papers with code
Task Oriented In-Domain Data Augmentation
On average, TRAIT improves LLM performance by 8% in the advertisement domain and 7. 5% in the math domain.
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
In Evoke, there are two instances of a same LLM: one as a reviewer (LLM-Reviewer), it scores the current prompt; the other as an author (LLM-Author), it edits the prompt by considering the edit history and the reviewer's feedback.
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries
For model-free enhancement, we collect unlabeled web queries to augment domain knowledge; and we collect web search results to enrich the information of ads queries.
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
Recent studies have shown that dual encoder models trained with the sentence-level translation ranking task are effective methods for cross-lingual sentence embedding.
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