Good Papers

Showing Multilingual NLP Show all papers

72%Highly rated
?Highly ratedVote to see the score
arXivU LagosImperial College LondonBayero University KanoMultilingual NLP

Yo-ByT5: Efficient and High-Fidelity Diacritic Restoration for Yorùbá

Yo-ByT5 is a byte-level Yorùbá diacritic restoration model matching mT5-base accuracy with half the parameters and superior text fidelity.

Ahmad Samuel Gali, Shamsuddeen Hassan Muhammad

Published Oct 1, 2026 · 0 citations

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026The Hong Kong University of ScieDepartment of Computer Science aHong Kong University of Science The Hong Kong Univeristy of ScieMultilingual NLP

SwitchLingua V2: Agent-Driven Code-Switching via Digital Clones

Peng Xie, Yequan Bie, Jianda Mao, Hao CHEN and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026INTI INTERNATIONAL UNIVERSITYINTI International University anINTI InternationalZhejiang GongshangMultilingual NLP

Learning from Disagreement: Multi-Teacher Distillation for Chinese Spelling Correction

Hongcheng Ding, Xuanze Zhao, Ziping Hu, Hongdan Xiao and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Shanghai JiaotongLanzhouByteDance Inc.SUN YAT-SEN UNIVERSITYMultilingual NLP

SarcBench: A Bilingual Benchmark for Contextual Sarcasm Understanding, Response, and Generation

Dihong Huang, Zhuoyue Chang, Yuhao Liu, Zhouting Mo and 3 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5