Machine Translation
RAFT
Enhancing English-Chinese Translation with Retrieval-Augmented Fine-Tuning (RAFT)
Exploring RAFT methodology for bidirectional English-Chinese translation using Llama 3.1
Kai-Teh Tzeng - Lehigh University
2 min
Research
20 articles
Machine Translation
Large Language Models
Machine Translation with Large Language Models and Hallucination Reduction
Fine-tuning Llama 3.1 for Chinese-to-English translation with hallucination mitigation strategies
Shuang LIANG - The University of Tokyo
3 min
Speaker Diarization
Pyannote
Speaker Diarization Performance Evaluation: Pyannote.audio vs Nvidia Nemo and Post-Processing with GPT-4
Comparative evaluation of speaker diarization frameworks with DER analysis and real-time application development
Taishin Maeda - Waseda University
5 min
Pronunciation
Speech Analysis
Detecting Syllable-Level Pronunciation Stress with A Self-Attention Model
Self-attention model for identifying stress levels in spoken English syllables
Wang Weiying and Nakajima Akinori
2 min
Machine Translation
In-Context Learning
Improving In-Context Learning Performance in Machine Translation
Using TF-IDF retrieval to improve GPT-4 translation with better in-context learning examples
Chen Yufeng - Waseda University
3 min
Machine Translation
BLEU
Evaluate Machine Translation And Improve Accuracy
A comprehensive study on evaluating and improving machine translation quality using multiple metrics and benchmark models
Chen Yufeng - Waseda University
9 min
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