Dani Yogatama - RankMe

100 papers A* 20A 2Journal 58Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	FOL-Traces: Verified First-Order Logic Reasoning Traces at Scale. EACL (Findings) Isabelle Lee, Sarah Liaw, Dani Yogatama
2026	—	`conf`	Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities. EACL (Findings) Ting-Rui Chiang, Dani Yogatama
2025	A*	`conf`	DeLLMa: Decision Making Under Uncertainty with Large Language Models. ICLR Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger
2025	J	`jnl`	Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation. CoRR Hannah Murray, Brian Hyeongseok Kim, Isabelle Lee, Jason Byun, Dani Yogatama, Evi Micha
2025	J	`jnl`	FOL-Pretrain: A complexity annotated corpus of first-order logic. CoRR Isabelle Lee, Sarah Liaw, Dani Yogatama
2025	J	`jnl`	Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models. CoRR Woody Haosheng Gan, Deqing Fu, Julian Asilis, Ollie Liu, Dani Yogatama, Vatsal Sharan, Robin Jia, Willie Neiswanger
2025	—	`conf`	The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval. ACL (Findings) Ting-Rui Chiang, Dani Yogatama
2025	J	`jnl`	The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval. CoRR Ting-Rui Chiang, Dani Yogatama
2025	A*	`conf`	The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities. ICLR Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim
2024	J	`jnl`	Causal Interventions on Causal Paths: Mapping GPT-2's Reasoning From Syntax to Semantics. CoRR Isabelle Lee, Joshua Lum, Ziyi Liu, Dani Yogatama
2024	J	`jnl`	DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models. CoRR Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger
2024	A*	`conf`	Interpretable Diffusion via Information Decomposition. ICLR Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg
2024	J	`jnl`	IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. CoRR Deqing Fu, Ghazal Khalighinejad, Ollie Liu, Bhuwan Dhingra, Dani Yogatama, Robin Jia, Willie Neiswanger
2024	J	`jnl`	LocateBench: Evaluating the Locating Ability of Vision Language Models. CoRR Ting-Rui Chiang, Joshua Robinson, Xinyan Velocity Yu, Dani Yogatama
2024	—	`conf`	On Retrieval Augmentation and the Limitations of Language Model Training. NAACL (Short Papers) Ting-Rui Chiang, Xinyan Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama
2024	J	`jnl`	Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. CoRR Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Deyu Fu, Donovan Ong, Eric Chen, Eugenie Lamprecht, Hai Pham, Isaac Ong, Kaloyan Aleksiev, Lei Li, Matthew Henderson, Max Bain, Mikel Artetxe, Nishant Relan, Piotr Padlewski, Qi Liu, Ren Chen, Samuel Phua, Yazheng Yang, Yi Tay, Yuqi Wang, Zhongkai Zhu, Zhihui Xie
2024	J	`jnl`	The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities. CoRR Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim
2024	J	`jnl`	Understanding In-Context Learning with a Pelican Soup Framework. CoRR Ting-Rui Chiang, Dani Yogatama
2024	J	`jnl`	Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. CoRR Piotr Padlewski, Max Bain, Matthew Henderson, Zhongkai Zhu, Nishant Relan, Hai Pham, Donovan Ong, Kaloyan Aleksiev, Aitor Ormazabal, Samuel Phua, Ethan Yeo, Eugenie Lamprecht, Qi Liu, Yuqi Wang, Eric Chen, Deyu Fu, Lei Li, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Mikel Artetxe, Yi Tay
2023	J	`jnl`	High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning. Trans. Mach. Learn. Res. Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Russ Salakhutdinov
2023	J	`jnl`	Interpretable Diffusion via Information Decomposition. CoRR Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg
2023	J	`jnl`	On Retrieval Augmentation and the Limitations of Language Model Training. CoRR Ting-Rui Chiang, Xinyan Velocity Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama
2023	J	`jnl`	Questions Are All You Need to Train a Dense Passage Retriever. Trans. Assoc. Comput. Linguistics Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2023	—	`conf`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2023	A*	`conf`	The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. EMNLP Ting-Rui Chiang, Dani Yogatama
2023	J	`jnl`	The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining. CoRR Ting-Rui Chiang, Dani Yogatama
2022	A*	`conf`	A Contrastive Framework for Neural Text Generation. NeurIPS Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier
2022	J	`jnl`	A Contrastive Framework for Neural Text Generation. CoRR Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier
2022	—	`conf`	ABC: Attention with Bounded-memory Control. ACL (1) Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith
2022	J	`jnl`	Emergent Abilities of Large Language Models. CoRR Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
2022	J	`jnl`	Emergent Abilities of Large Language Models. Trans. Mach. Learn. Res. Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
2022	J	`jnl`	HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning. CoRR Paul Pu Liang, Yiwei Lyu, Xiang Fan, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Ruslan Salakhutdinov
2022	J	`jnl`	Language Models Can See: Plugging Visual Controls in Text Generation. CoRR Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lingpeng Kong, Nigel Collier
2022	J	`jnl`	Questions Are All You Need to Train a Dense Passage Retriever. CoRR Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2022	J	`jnl`	Relational Memory Augmented Language Models. CoRR Qi Liu, Dani Yogatama, Phil Blunsom
2022	J	`jnl`	Relational Memory-Augmented Language Models. Trans. Assoc. Comput. Linguistics Qi Liu, Dani Yogatama, Phil Blunsom
2022	A*	`conf`	Scale Efficiently: Insights from Pretraining and Finetuning Transformers. ICLR Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
2022	J	`jnl`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2021	J	`jnl`	ABC: Attention with Bounded-memory Control. CoRR Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith
2021	J	`jnl`	Adaptive Semiparametric Language Models. CoRR Dani Yogatama, Cyprien de Masson d'Autume, Lingpeng Kong
2021	J	`jnl`	Adaptive Semiparametric Language Models. Trans. Assoc. Comput. Linguistics Dani Yogatama, Cyprien de Masson d'Autume, Lingpeng Kong
2021	J	`jnl`	Balancing Average and Worst-case Accuracy in Multitask Learning. CoRR Paul Michel, Sebastian Ruder, Dani Yogatama
2021	A*	`conf`	End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. NeurIPS Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
2021	J	`jnl`	End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. CoRR Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
2021	—	`conf`	Finetuning Pretrained Transformers into RNNs. EMNLP (1) Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith
2021	J	`jnl`	Finetuning Pretrained Transformers into RNNs. CoRR Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith
2021	—	`conf`	LiRo: Benchmark and leaderboard for Romanian language tasks. NeurIPS Datasets and Benchmarks Stefan Daniel Dumitrescu, Petru Rebeja, Beáta Lorincz, Mihaela Gaman, Andrei-Marius Avram, Mihai Ilie, Andrei Pruteanu, Adriana Stan, Lorena Rosia, Cristina Iacobescu, Luciana Morogan, George Dima, Gabriel Marchidan, Traian Rebedea, Madalina Chitez, Dani Yogatama, Sebastian Ruder, Radu Tudor Ionescu, Razvan Pascanu, Viorica Patraucean
2021	A*	`conf`	Mind the Gap: Assessing Temporal Generalization in Neural Language Models. NeurIPS Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Tomás Kociský, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, Phil Blunsom
2021	J	`jnl`	Pitfalls of Static Language Modelling. CoRR Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomás Kociský, Susannah Young, Phil Blunsom
2021	A*	`conf`	Random Feature Attention. ICLR Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
2021	J	`jnl`	Random Feature Attention. CoRR Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
2021	J	`jnl`	Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. CoRR Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
2020	A*	`conf`	A Call for More Rigor in Unsupervised Cross-lingual Learning. ACL Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre
2020	J	`jnl`	A Call for More Rigor in Unsupervised Cross-lingual Learning. CoRR Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre
2020	A*	`conf`	A Mutual Information Maximization Perspective of Language Representation Learning. ICLR Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama
2020	J	`jnl`	Modelling Latent Skills for Multitask Language Generation. CoRR Kris Cao, Dani Yogatama
2020	A*	`conf`	On the Cross-lingual Transferability of Monolingual Representations. ACL Mikel Artetxe, Sebastian Ruder, Dani Yogatama
2020	—	`conf`	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. EMNLP (Findings) Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
2020	J	`jnl`	Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom
2020	J	`jnl`	Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom
2019	J	`jnl`	A Mutual Information Maximization Perspective of Language Representation Learning. CoRR Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling, Lei Yu, Zihang Dai, Dani Yogatama
2019	—	`conf`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	J	`jnl`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	A*	`conf`	Episodic Memory in Lifelong Language Learning. NeurIPS Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong, Dani Yogatama
2019	J	`jnl`	Episodic Memory in Lifelong Language Learning. CoRR Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong, Dani Yogatama
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver
2019	J	`jnl`	Jointly learning sentence embeddings and syntax with unsupervised Tree-LSTMs. Nat. Lang. Eng. Jean Maillard, Stephen Clark, Dani Yogatama
2019	J	`jnl`	Learning and Evaluating General Linguistic Intelligence. CoRR Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom
2019	J	`jnl`	On the Cross-lingual Transferability of Monolingual Representations. CoRR Mikel Artetxe, Sebastian Ruder, Dani Yogatama
2019	J	`jnl`	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. CoRR Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli
2019	—	`conf`	Variational Smoothing in Recurrent Neural Network Language Models. ICLR (Poster) Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama
2019	J	`jnl`	Variational Smoothing in Recurrent Neural Network Language Models. CoRR Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama
2018	—	`conf`	LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. ACL (1) Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom
2018	—	`conf`	Memory Architectures in Recurrent Neural Network Language Models. ICLR (Poster) Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom
2017	J	`jnl`	Generative and Discriminative Text Classification with Recurrent Neural Networks. CoRR Dani Yogatama, Chris Dyer, Wang Ling, Phil Blunsom
2017	J	`jnl`	Jointly Learning Sentence Embeddings and Syntax with Unsupervised Tree-LSTMs. CoRR Jean Maillard, Stephen Clark, Dani Yogatama
2017	—	`conf`	Learning to Compose Words into Sentences with Reinforcement Learning. ICLR (Poster) Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling
2017	—	`conf`	Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. ACL (1) Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
2017	J	`jnl`	Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. CoRR Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
2016	A*	`conf`	Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 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
2016	J	`jnl`	Learning to Compose Words into Sentences with Reinforcement Learning. CoRR Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling
2015	A*	`conf`	Bayesian Optimization of Text Representations. EMNLP Dani Yogatama, Lingpeng Kong, Noah A. Smith
2015	J	`jnl`	Bayesian Optimization of Text Representations. CoRR Dani Yogatama, Noah A. Smith
2015	J	`jnl`	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR Dario Amodei, Rishita Anubhai, 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, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu
2015	—	`conf`	Embedding Methods for Fine Grained Entity Type Classification. ACL (2) Dani Yogatama, Daniel Gillick, Nevena Lazic
2015	A*	`conf`	Extractive Summarization by Maximizing Semantic Volume. EMNLP Dani Yogatama, Fei Liu, Noah A. Smith
2015	A*	`conf`	Learning Word Representations with Hierarchical Sparse Coding. ICML Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith
2015	—	`conf`	Sparse Overcomplete Word Vector Representations. ACL (1) Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith
2015	J	`jnl`	Sparse Overcomplete Word Vector Representations. CoRR Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith
2014	J	`jnl`	Dynamic Language Models for Streaming Text. Trans. Assoc. Comput. Linguistics Dani Yogatama, Chong Wang, Bryan R. Routledge, Noah A. Smith, Eric P. Xing
2014	A	`conf`	Efficient Transfer Learning Method for Automatic Hyperparameter Tuning. AISTATS Dani Yogatama, Gideon Mann
2014	J	`jnl`	Learning Word Representations with Hierarchical Sparse Coding. CoRR Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith
2014	—	`conf`	Linguistic Structured Sparsity in Text Categorization. ACL (1) Dani Yogatama, Noah A. Smith
2014	A*	`conf`	Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers. ICML Dani Yogatama, Noah A. Smith
2013	A	`conf`	A Penny for Your Tweets: Campaign Contributions and Capitol Hill Microblogs. ICWSM Tae Yano, Dani Yogatama, Noah A. Smith
2013	J	`jnl`	A Sparse and Adaptive Prior for Time-Dependent Model Parameters. CoRR Dani Yogatama, Bryan R. Routledge, Noah A. Smith
2012	—	`conf`	A Probabilistic Model for Canonicalizing Named Entity Mentions. ACL (1) Dani Yogatama, Yanchuan Sim, Noah A. Smith
2011	—	`conf`	Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. ACL (2) Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith
2011	A*	`conf`	Predicting a Scientific Community's Response to an Article. EMNLP Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge, Noah A. Smith
2009	A*	`conf`	Multilingual Spectral Clustering Using Document Similarity Propagation. EMNLP Dani Yogatama, Kumiko Tanaka-Ishii