Shaolin Zhu
19 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(11)
π€
Dynamic Duo
(13)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(94)
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Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Natural Language Processing
(16)
Artificial Intelligence
(11)
Deep Learning
(11)
Machine Learning
(11)
Applications
(11)
Core AI
(10)
Resources & Methods
(7)
Learning Types Β· Machine Learning
(6)
Learning Types Β· Deep Learning
(6)
Application Areas
(5)
Architectures
(4)
Learning Paradigms
(3)
Models
(3)
Optimization & Theory
(3)
Speech & Audio
(2)
Keywords
large language model
(6)
machine translation
(5)
low-resource language
(3)
speech translation
(3)
mixture of expert
(3)
neural machine translation
(3)
end-to-end model
(2)
multimodal large language model
(2)
multilingual nlp
(2)
knowledge distillation
(2)
modality gap
(2)
instruction tuning
(2)
in-context learning
(2)
multilingual translation
(2)
text generation
(2)
representation learning
(2)
cross-modal learning
(2)
image translation
(2)
document-level translation
(2)
visual question answering
(1)
Papers
AdaDPI: Document-level Translation Adaptive Agent via Dynamic Parametric Internalization
ACL 2026
MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference
ACL 2026
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
EMNLP 2025
DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search
EMNLP 2025
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages
AAAI 2025
MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation
COLING 2025
MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation
ACL 2025
Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency
EMNLP 2025
Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning
ACL 2024
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
EMNLP 2024
LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation
ACL 2024
Towards Robust In-Context Learning for Machine Translation with Large Language Models
COLING 2024
CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation
EMNLP 2023
CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation
ACL 2023
MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks
EMNLP 2023
PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation
ACL 2023
TJUNLP:System Description for the WMT23 Literary Task in Chinese to English Translation Direction
EMNLP 2023
Towards a Deep Understanding of Multilingual End-to-End Speech Translation
EMNLP 2023
Parallel sentences mining with transfer learning in an unsupervised setting
NAACL 2021