2026 Dani Yogatama: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10444	10151	4363	4183	63	15100

Overview

Dani Yogatama is affiliated with the University of Southern California in the United States and focuses on research primarily within the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, General Social Sciences, and Electrical and Electronic Engineering.

Their research topics include:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Speech Recognition and Synthesis
Machine Learning and Algorithms
Expert Finding and Q&A Systems
Advanced Graph Neural Networks

Recent publications by Dani Yogatama demonstrate contributions to foundational and emerging topics in language and neural modeling. Notable papers include:

"Emergent Abilities of Large Language Models" (2022), published in arXiv (Cornell University)
"Random Feature Attention" (2021), published in arXiv (Cornell University)
"A Contrastive Framework for Neural Text Generation" (2022), published in arXiv (Cornell University)
"Mind the Gap: Assessing Temporal Generalization in Neural Language Models" (2021), published in arXiv (Cornell University)
"Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers" (2021), published in arXiv (Cornell University)

Dani Yogatama frequently collaborates with a number of researchers including:

Lingpeng Kong
Cyprien de Masson d'Autume
Phil Blunsom
Yi Tay
Ollie Liu

The main venues for Dani Yogatama's publications are:

arXiv (Cornell University)
Transactions of the Association for Computational Linguistics
Proceedings of the International AAAI Conference on Web and Social Media
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Best Publications

Grandmaster level in StarCraft II using multi-agent reinforcement learning.

Oriol Vinyals;Igor Babuschkin;Wojciech M. Czarnecki;Michaël Mathieu

3527
Citations
Deep speech 2: end-to-end speech recognition in English and mandarin

Dario Amodei;Sundaram Ananthanarayanan;Rishita Anubhai;Jingliang Bai

2957
Citations
Emergent Abilities of Large Language Models

Unknown

2034
Citations
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments

Kevin Gimpel;Nathan Schneider;Brendan O'Connor;Dipanjan Das

1272
Citations
On the Cross-lingual Transferability of Monolingual Representations

Mikel Artetxe;Sebastian Ruder;Dani Yogatama

607
Citations
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Dario Amodei;Rishita Anubhai;Eric Battenberg;Carl Case

328
Citations
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems

Wang Ling;Dani Yogatama;Chris Dyer;Phil Blunsom

313
Citations
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics

Kevin Gimpel;Nathan Schneider;Brendan O'Connor;Dipanjan Das

258
Citations
Learning and Evaluating General Linguistic Intelligence.

Dani Yogatama;Cyprien de Masson d'Autume;Jerome T. Connor;Tomás Kociský

241
Citations
Sparse Overcomplete Word Vector Representations

Manaal Faruqui;Yulia Tsvetkov;Dani Yogatama;Chris Dyer

185
Citations
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning

Dani Yogatama;Gideon Mann

178
Citations
Generative and Discriminative Text Classification with Recurrent Neural Networks

Dani Yogatama;Chris Dyer;Wang Ling;Phil Blunsom

162
Citations
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better.

Adhiguna Kuncoro;Chris Dyer;John Hale;Dani Yogatama

158
Citations
Episodic Memory in Lifelong Language Learning

Cyprien de Masson d'Autume;Sebastian Ruder;Lingpeng Kong;Dani Yogatama

153
Citations
Random Feature Attention

Hao Peng;Nikolaos Pappas;Dani Yogatama;Roy Schwartz

150
Citations
Learning to Compose Words into Sentences with Reinforcement Learning

Dani Yogatama;Phil Blunsom;Chris Dyer;Edward Grefenstette

149
Citations
Embedding Methods for Fine Grained Entity Type Classification

Dani Yogatama;Daniel Gillick;Nevena Lazic

145
Citations
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Po-Sen Huang;Huan Zhang;Ray Jiang;Robert Stanforth

139
Citations
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

Po-Sen Huang;Robert Stanforth;Johannes Welbl;Chris Dyer

136
Citations
Predicting a Scientific Communityâ€™s Response to an Article

Dani Yogatama;Michael Heilman;Brendan O'Connor;Chris Dyer

93
Citations
A Mutual Information Maximization Perspective of Language Representation Learning

Lingpeng Kong;Cyprien de Masson d'Autume;Lei Yu;Wang Ling

55
Citations
Adaptive Semiparametric Language Models

Dani Yogatama;Cyprien de Masson d'Autume;Lingpeng Kong

50
Citations

Frequent Co-Authors

Noah A. Smith University of Washington

Chris Dyer Google (United States)

Phil Blunsom University of Oxford

Sebastian Ruder Google (United States)

Chong Wang University of Helsinki

Bryan Catanzaro Nvidia (United States)

Adam Coates Apple (United States)

Pushmeet Kohli DeepMind (United Kingdom)

Andrew Y. Ng Stanford University

Stephen Clark Cambridge Quantum Computing

External Links

Personal website of Dani Yogatama

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