Dani Yogatama
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
8
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities. | Ting-Rui Chiang, Dani Yogatama |
| 2026 | EACL | FOL-Traces: Verified First-Order Logic Reasoning Traces at Scale. | Isabelle Lee, Sarah Liaw, Dani Yogatama |
| 2025 | ACL | The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval. | Ting-Rui Chiang, Dani Yogatama |
| 2025 | ICLR | DeLLMa: Decision Making Under Uncertainty with Large Language Models. | Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger |
| 2025 | ICLR | The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities. | Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim |
| 2024 | ICLR | Interpretable Diffusion via Information Decomposition. | Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg |
| 2024 | NAACL | On Retrieval Augmentation and the Limitations of Language Model Training. | Ting-Rui Chiang, Xinyan Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama |
| 2023 | EMNLP | The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. | Ting-Rui Chiang, Dani Yogatama |
| 2023 | EMNLP | Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? | Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler |
| 2022 | ACL | ABC: Attention with Bounded-memory Control. | Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith |
| 2022 | ICLR | Scale Efficiently: Insights from Pretraining and Finetuning Transformers. | Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler |
| 2021 | EMNLP | Finetuning Pretrained Transformers into RNNs. | Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith |
| 2021 | ICLR | Random Feature Attention. | Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong |
| 2020 | ACL | On the Cross-lingual Transferability of Monolingual Representations. | Mikel Artetxe, Sebastian Ruder, Dani Yogatama |
| 2020 | ACL | A Call for More Rigor in Unsupervised Cross-lingual Learning. | Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre |
| 2020 | EMNLP | Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. | Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli |
| 2020 | ICLR | A Mutual Information Maximization Perspective of Language Representation Learning. | Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama |
| 2019 | EMNLP | Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. | Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli |
| 2019 | ICLR | Variational Smoothing in Recurrent Neural Network Language Models. | Lingpeng Kong, Gbor Melis, Wang Ling, Lei Yu, Dani Yogatama |
| 2018 | ACL | LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. | Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom |
| 2018 | ICLR | Memory Architectures in Recurrent Neural Network Language Models. | Dani Yogatama, Yishu Miao, Gbor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom |
| 2017 | ACL | Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. | Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom |
| 2017 | ICLR | Learning to Compose Words into Sentences with Reinforcement Learning. | Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling |
| 2016 | ICML | Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. | Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu |
| 2015 | ACL | Sparse Overcomplete Word Vector Representations. | Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith |
| 2015 | ACL | Embedding Methods for Fine Grained Entity Type Classification. | Dani Yogatama, Daniel Gillick, Nevena Lazic |
| 2015 | EMNLP | Extractive Summarization by Maximizing Semantic Volume. | Dani Yogatama, Fei Liu, Noah A. Smith |
| 2015 | EMNLP | Bayesian Optimization of Text Representations. | Dani Yogatama, Lingpeng Kong, Noah A. Smith |
| 2015 | ICML | Learning Word Representations with Hierarchical Sparse Coding. | Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith |
| 2014 | ACL | Linguistic Structured Sparsity in Text Categorization. | Dani Yogatama, Noah A. Smith |
| 2014 | AISTATS | Efficient Transfer Learning Method for Automatic Hyperparameter Tuning. | Dani Yogatama, Gideon Mann |
| 2014 | ICML | Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers. | Dani Yogatama, Noah A. Smith |
| 2013 | ICWSM | A Penny for Your Tweets: Campaign Contributions and Capitol Hill Microblogs. | Tae Yano, Dani Yogatama, Noah A. Smith |
| 2012 | ACL | A Probabilistic Model for Canonicalizing Named Entity Mentions. | Dani Yogatama, Yanchuan Sim, Noah A. Smith |
| 2011 | ACL | Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. | Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith |
| 2011 | EMNLP | Predicting a Scientific Community's Response to an Article. | Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge, Noah A. Smith |
| 2009 | EMNLP | Multilingual Spectral Clustering Using Document Similarity Propagation. | Dani Yogatama, Kumiko Tanaka-Ishii |