Orhan Firat
55 papers · 2016–2025 · 12 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9)
🧭
Keyword Pioneer
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Hot Topic Early Bird
🌈
Renaissance Researcher
(6)
🌟
Keyword Trendsetter Combo
(4)
🤝
Dynamic Duo
(19)
👑
Triple Crown
🏆
Grand Slam
👥
Mega-Team
(67)
🌱
Topic Pioneer
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Deep Specialist
(29)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(165)
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Trend Setter
⚡
Prolific Year
(12)
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Unstoppable
(10)
❓
The Questioner
(2)
💎
Century Club
(55)
Conferences
EMNLP (15)
ICLR (7)
NIPS (7)
ACL (6)
ICML (6)
NAACL (6)
IJCNLP (3)
AAAI (1)
AACL (1)
EACL (1)
INTERSPEECH (1)
JMLR (1)
Top co-authors
Keywords
neural machine translation
(20)
cross-lingual transfer
(9)
multilingual translation
(9)
low-resource language
(8)
machine translation
(7)
multilingual neural machine translation
(6)
transfer learning
(6)
domain adaptation
(4)
zero-shot translation
(4)
language model
(4)
large language model
(4)
model compression
(3)
representation learning
(3)
deep learning
(2)
parallel corpus
(2)
multilingual machine translation
(2)
transformer architecture
(2)
few-shot learning
(2)
multi-task learning
(2)
benchmark evaluation
(2)
Papers
BIG-Bench Extra Hard
ACL 2025
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
ICLR 2024
Scaling Sign Language Translation
NIPS 2024
Binarized Neural Machine Translation
NIPS 2023
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
NIPS 2023
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
NIPS 2023
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
ICLR 2023
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction
AACL 2023
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction
IJCNLP 2023
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
ICML 2023
Scaling Laws for Multilingual Neural Machine Translation
ICML 2023
Block-State Transformers
NIPS 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
EMNLP 2023
GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation
EMNLP 2023
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation
ACL 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
NIPS 2022
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
ACL 2022
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
ICLR 2022
Scaling Laws for Neural Machine Translation
ICLR 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
ICML 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
ICML 2022
XTREME-S: Evaluating Cross-lingual Speech Representations
INTERSPEECH 2022
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
NAACL 2021
A Large-Scale Study of Machine Translation in Turkic Languages
EMNLP 2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
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
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
NAACL 2021
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
ICLR 2021
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
ICLR 2021
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
ICLR 2021
Complete Multilingual Neural Machine Translation
EMNLP 2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
ICML 2020
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation
ACL 2020
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
AAAI 2020
Towards End-to-End In-Image Neural Machine Translation
EMNLP 2020
On the Discrepancy between Density Estimation and Sequence Generation
EMNLP 2020
Investigating Multilingual NMT Representations at Scale
EMNLP 2019
Non-Parametric Adaptation for Neural Machine Translation
NAACL 2019
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
NIPS 2019
Findings of the First Shared Task on Machine Translation Robustness
ACL 2019
Simple, Scalable Adaptation for Neural Machine Translation
IJCNLP 2019
Investigating Multilingual NMT Representations at Scale
IJCNLP 2019
Massively Multilingual Neural Machine Translation
NAACL 2019
Simple, Scalable Adaptation for Neural Machine Translation
EMNLP 2019
On the Importance of Word Boundaries in Character-level Neural Machine Translation
EMNLP 2019
Training Deeper Neural Machine Translation Models with Transparent Attention
EMNLP 2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
ACL 2018
Revisiting Character-Based Neural Machine Translation with Capacity and Compression
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