58 citations · 62 across the 5 of their papers we have counts for
5 papers
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
Xinyu Ma, Xuebo Liu, Derek F. Wong +6
Multimodal machine translation (MMT) is a challenging task that seeks to improve translation quality by incorporating visual information. However, recent studies have indicated tha…
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model
Runzhe Zhan, Xinyi Yang, Derek F. Wong +2
While supervised fine-tuning (SFT) has been a straightforward approach for tailoring the output of foundation large language model (LLM) to specific preferences, concerns have been…
Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model
Haoyun Xu, Runzhe Zhan, Derek F. Wong +1
Large Language Models (LLMs) are composed of neurons that exhibit various behaviors and roles, which become increasingly diversified as models scale. Recent studies have revealed t…
Human-in-the-loop Machine Translation with Large Language Model
Xinyi Yang, Runzhe Zhan, Derek F. Wong +2
The large language model (LLM) has garnered significant attention due to its in-context learning mechanisms and emergent capabilities. The research community has conducted several…
Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation
Tao Fang, Shu Yang, Kaixin Lan +4
ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has shown remarkable potential in various Natural Language Processing (NLP) tasks. However, there…