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Shenbin Qian

2 accepted papers

2024

Character-level Language Models for Abbreviation and Long-form Detection

COLING 2024main

Abbreviations and their associated long forms are important textual elements that are present in almost every scientific communication, and having information about these forms can help improve several NLP tasks. In this paper, our aim is to fine-tune language models for automatically identifying ab…

Cited by 0SourcePDFScholar
2024

What do Large Language Models Need for Machine Translation Evaluation?

EMNLP 2024main

Leveraging large language models (LLMs) for various natural language processing tasks has led to superlative claims about their performance. For the evaluation of machine translation (MT), existing research shows that LLMs are able to achieve results comparable to fine-tuned multilingual pre-trained…