Scaling Laws for Downstream Task Performance in Machine Translation

Scaling Laws for Downstream Task Performance in Machine Translation

24 February 2025

Natalia Ponomareva

Hussein Hazimeh

Dimitris Paparas

Sergei Vassilvitskii

Papers citing "Scaling Laws for Downstream Task Performance in Machine Translation"

10 / 10 papers shown

Title
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection Xinyue Zeng Haohui Wang Junhong Lin Jun Wu Tyler Cody Dawei Zhou 100 0 0 01 May 2025
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework Yushen Lin Ruichen Zhang Wenqi Huang Kaidi Wang Z. Ding Daniel K. C. So Dusit Niyato 59 0 0 17 Jan 2025
Compute-Constrained Data Selection Junjie Oscar Yin Alexander M. Rush 39 0 0 21 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao Chao-Han Huck Yang Renhe Jiang Yuxuan Liang Ming Jin Shirui Pan AI4TS AI4CE 42 7 0 16 Oct 2024
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding Yanming Liu Xinyue Peng Jiannan Cao Shi Bo Yanxin Shen Tianyu Du Sheng Cheng Xun Wang Jianwei Yin Xuhong Zhang 65 9 0 02 Oct 2024
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement Wangyou Zhang Kohei Saijo Jee-weon Jung Chenda Li Shinji Watanabe Yanmin Qian 32 4 0 06 Jun 2024
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance Shibal Ibrahim Natalia Ponomareva Rahul Mazumder AAML 114 16 0 13 Oct 2021
Learning Curve Theory Marcus Hutter 140 58 0 08 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 261 4,489 0 23 Jan 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019