Orhan Firat
52 papers · 2016–2025 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(17)
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(4)
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(4)
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(2)
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Research topics
Natural Language Processing
(41)
Deep Learning
(31)
Applications
(30)
Machine Learning
(24)
Resources & Methods
(20)
Artificial Intelligence
(19)
Learning Types Β· Deep Learning
(19)
Learning Paradigms
(13)
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(12)
Optimization & Theory Β· Machine Learning
(10)
Learning Types Β· Machine Learning
(9)
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(8)
Application Areas
(6)
Optimization & Theory Β· Deep Learning
(6)
Techniques
(5)
Keywords
neural machine translation
(19)
cross-lingual transfer
(8)
machine translation
(8)
low-resource language
(8)
multilingual translation
(8)
transfer learning
(5)
multilingual neural machine translation
(5)
large language model
(5)
language model
(4)
multilingual machine translation
(4)
zero-shot translation
(4)
domain adaptation
(3)
mixture of expert
(3)
model compression
(3)
model scaling
(3)
conditional computation
(2)
parallel corpus
(2)
deep learning
(2)
transformer architecture
(2)
few-shot learning
(2)
Papers
BIG-Bench Extra Hard
ACL 2025
Scaling Sign Language Translation
NeurIPS 2024
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
ICLR 2024
Binarized Neural Machine Translation
NeurIPS 2023
Block-State Transformers
NeurIPS 2023
GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation
EMNLP 2023
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction
IJCNLP 2023
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
NeurIPS 2023
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
NeurIPS 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Scaling Laws for Multilingual Neural Machine Translation
ICML 2023
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
EMNLP 2023
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
ICML 2023
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
ICLR 2023
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
ICLR 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
ICML 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
NeurIPS 2022
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
ICML 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
ACL 2022
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation
ACL 2022
Scaling Laws for Neural Machine Translation
ICLR 2022
XTREME-S: Evaluating Cross-lingual Speech Representations
Interspeech 2022
A Large-Scale Study of Machine Translation in Turkic Languages
EMNLP 2021
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
EMNLP 2021
Evaluating Multiway Multilingual NMT in the Turkic Languages
EMNLP 2021
Explicit Alignment Objectives for Multilingual Bidirectional Encoders
NAACL 2021
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
ICLR 2021
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
ICLR 2021
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
NAACL 2021
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
ICLR 2021
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
NAACL 2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
EMNLP 2021
Complete Multilingual Neural Machine Translation
EMNLP 2020
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
AAAI 2020
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation
ACL 2020
On the Discrepancy between Density Estimation and Sequence Generation
EMNLP 2020
Towards End-to-End In-Image Neural Machine Translation
EMNLP 2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
ICML 2020
Findings of the First Shared Task on Machine Translation Robustness
ACL 2019
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
NeurIPS 2019
Investigating Multilingual NMT Representations at Scale
EMNLP 2019
Massively Multilingual Neural Machine Translation
NAACL 2019
Non-Parametric Adaptation for Neural Machine Translation
NAACL 2019
On the Importance of Word Boundaries in Character-level Neural Machine Translation
EMNLP 2019
Simple, Scalable Adaptation for Neural Machine Translation
EMNLP 2019
Revisiting Character-Based Neural Machine Translation with Capacity and Compression
EMNLP 2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
ACL 2018
Training Deeper Neural Machine Translation Models with Transparent Attention
EMNLP 2018
Nematus: a Toolkit for Neural Machine Translation
EACL 2017
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
NAACL 2016
Zero-Resource Translation with Multi-Lingual Neural Machine Translation
EMNLP 2016