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LCS: A language converter strategy for zero-shot neural machine translation
Multilingual neural machine translation models generally distinguish translation directions
by the language tag (LT) in front of the source or target sentences. However, current LT …
by the language tag (LT) in front of the source or target sentences. However, current LT …
Supervised chain of thought
Large Language Models (LLMs) have revolutionized natural language processing and hold
immense potential for advancing Artificial Intelligence. However, the core architecture of …
immense potential for advancing Artificial Intelligence. However, the core architecture of …
Lost in Translation: When GPT-4V (ision) Can't See Eye to Eye with Text. A Vision-Language-Consistency Analysis of VLLMs and Beyond
Recent advancements in multimodal techniques open exciting possibilities for models
excelling in diverse tasks involving text, audio, and image processing. Models like GPT-4V …
excelling in diverse tasks involving text, audio, and image processing. Models like GPT-4V …
A Novel Approach to Semic Analysis: Extraction of Atoms of Meaning to Study Polysemy and Polyreferentiality
Semic analysis is a linguistic technique aimed at methodically factorizing the meaning of
terms into a collection of minimum non-decomposable atoms of meaning. In this study, we …
terms into a collection of minimum non-decomposable atoms of meaning. In this study, we …