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From LLM to NMT: Advancing Low-Resource Machine Translation with Claude

From LLM to NMT: Advancing Low-Resource Machine Translation with Claude

Maxim Enis
Mark Hopkins
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Papers citing "From LLM to NMT: Advancing Low-Resource Machine Translation with Claude"

6 / 6 papers shown
Title
Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection
Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection
Chenxu Guo
Jiachen Lian
Xuanru Zhou
Jinming Zhang
Shuhe Li
...
Rian Bogley
Lisa Wauters
Zachary Miller
M. G. Tempini
Gopala Anumanchipalli
37
0
0
22 May 2025
Empirical evaluation of LLMs in predicting fixes of Configuration bugs in Smart Home System
Empirical evaluation of LLMs in predicting fixes of Configuration bugs in Smart Home System
Sheikh Moonwara Anjum Monisha
Atul Bharadwaj
58
0
0
16 Feb 2025
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
Bokai Lin
Zihao Zeng
Zipeng Xiao
Siqi Kou
Tianqi Hou
Xiaofeng Gao
Hao Zhang
Zhijie Deng
36
5
0
16 Oct 2024
No Language Left Behind: Scaling Human-Centered Machine Translation
No Language Left Behind: Scaling Human-Centered Machine Translation
Nllb team
Marta R. Costa-jussá
James Cross
Onur cCelebi
Maha Elbayad
...
Alexandre Mourachko
C. Ropers
Safiyyah Saleem
Holger Schwenk
Jeff Wang
MoE
86
1,220
0
11 Jul 2022
Scaling Laws for Neural Language Models
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
383
4,662
0
23 Jan 2020
On the Efficacy of Knowledge Distillation
On the Efficacy of Knowledge Distillation
Ligang He
Rui Mao
66
603
0
03 Oct 2019