Shaolin Zhu

19 papers · 2021–2026 · 5 conferences · across top CS/AI conferences

Achievements

+6 more ↓

🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (6)

🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🤝 Dynamic Duo (12) ⚡ Prolific Year (6) 🗃️ Keyword Collector (89) 💎 Century Club (17)

Conferences

EMNLP (8) ACL (7) COLING (2) AAAI (1) NAACL (1)

Top co-authors

Deyi Xiong (13) Yikun Lei (5) Bo Li (4) Haoran Sun (4) Menglong Cui (3) Xiaohu Zhao (3) Chuan Wu (2) Leiyu Pan (2) Shangjie Li (2) Jiangcun Du (2)

Research topics

Synthesis (1)

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

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference ACL 2026 AdaDPI: Document-level Translation Adaptive Agent via Dynamic Parametric Internalization ACL 2026 LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages AAAI 2025 MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation ACL 2025 MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation COLING 2025 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 Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency EMNLP 2025 Towards Robust In-Context Learning for Machine Translation with Large Language Models COLING 2024 LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation ACL 2024 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 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 CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation EMNLP 2023 Towards a Deep Understanding of Multilingual End-to-End Speech Translation EMNLP 2023 TJUNLP:System Description for the WMT23 Literary Task in Chinese to English Translation Direction EMNLP 2023 PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation ACL 2023 Parallel sentences mining with transfer learning in an unsupervised setting NAACL 2021