Random forests on string similarity features outperform LLMs for German dialect lexicon induction and boost dialect information retrieval by up to 50% in recall.
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.CL 3representative citing papers
Combining dictionary glosses with Universal Dependencies syntactic information in in-context learning produces new state-of-the-art Coptic-English translation results across model sizes.
SLoW selects low-frequency word dictionaries to boost LLM translation quality and efficiency across 100 languages from FLORES.
citing papers explorer
-
Resource-Lean Lexicon Induction for German Dialects
Random forests on string similarity features outperform LLMs for German dialect lexicon induction and boost dialect information retrieval by up to 50% in recall.
-
Syntax as a Rosetta Stone: Universal Dependencies for In-Context Coptic Translation
Combining dictionary glosses with Universal Dependencies syntactic information in in-context learning produces new state-of-the-art Coptic-English translation results across model sizes.
-
SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models
SLoW selects low-frequency word dictionaries to boost LLM translation quality and efficiency across 100 languages from FLORES.