CTQScorer: Combining Multiple Features for In-context Example Selection
for Machine Translation

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation

23 May 2023

Ratish Puduppully

Anoop Kunchukuttan

Papers citing "CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation"

13 / 13 papers shown

Title
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation Baban Gain Dibyanayan Bandyopadhyay Asif Ekbal LM&MA 52 1 0 02 Apr 2025
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs Abdellah El Mekki Muhammad Abdul-Mageed LRM 29 0 0 14 Oct 2024
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions Chenming Tang Zhixiang Wang Yunfang Wu LRM 21 0 0 16 Aug 2024
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation Chenming Tang Zhixiang Wang Yunfang Wu 16 1 0 09 Aug 2024
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation Bangzheng Li Ben Zhou Xingyu Fu Fei Wang Dan Roth Muhao Chen 21 3 0 17 Jun 2024
Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation Javad Pourmostafa Roshan Sharami D. Shterionov Pieter Spronck 23 0 0 12 Jun 2024
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language Raphael Merx Aso Mahmudi Katrina Langford Leo Alberto de Araujo Ekaterina Vylomova 32 5 0 07 Apr 2024
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison Maxime Bouthors Josep Crego François Yvon RALM 25 3 0 03 Apr 2024
Going Beyond Word Matching: Syntax Improves In-context Example Selection for Machine Translation Chenming Tang Zhixiang Wang Yunfang Wu 16 1 0 28 Mar 2024
Monotonic Paraphrasing Improves Generalization of Language Model Prompting Qin Liu Fei Wang Nan Xu Tianyi Yan Tao Meng Muhao Chen LRM 30 7 0 24 Mar 2024
An Empirical Study of In-context Learning in LLMs for Machine Translation Pranjal A. Chitale Jay Gala Raj Dabre LRM 20 5 0 22 Jan 2024
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing Yury Zemlyanskiy Michiel de Jong Joshua Ainslie Panupong Pasupat Peter Shaw Linlu Qiu Sumit Sanghai Fei Sha RALM 120 17 0 29 Sep 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021