API Pack: A Massive Multi-Programming Language Dataset for API Call Generation - Zhen Guo; Adriana Meza Soria; Wei Sun; Yikang Shen; Rameswar Panda (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study - Shawn Tan; Songlin Yang; Aaron C. Courville; Rameswar Panda; Yikang Shen (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning - Xinyi Wang; Shawn Tan; Mingyu Jin; William Yang Wang; Rameswar Panda; Yikang Shen (CoRR, 2025)

PaTH Attention: Position Encoding via Accumulating Householder Transformations - Songlin Yang; Yikang Shen; Kaiyue Wen; Shawn Tan; Mayank Mishra; Liliang Ren; Rameswar Panda; Yoon Kim (CoRR, 2025)

Synthetic Data RL: Task Definition Is All You Need - Yiduo Guo; Zhen Guo; Chuanwei Huang; Zi-Ang Wang; Zekai Zhang; Haofei Yu; Huishuai Zhang; Yikang Shen (CoRR, 2025)

FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference - Aniruddha Nrusimha; William Brandon; Mayank Mishra; Yikang Shen; Rameswar Panda; Jonathan Ragan-Kelley; Yoon Kim (CoRR, 2025)

LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation - Chen-Chia Chang; Wan-Hsuan Lin; Yikang Shen; Yiran Chen; Xin Zhang (CoRR, 2025)

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning - Zhenfang Chen; Qinhong Zhou; Yikang Shen; Yining Hong; Zhiqing Sun; Dan Gutfreund; Chuang Gan (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Aligning Large Multimodal Models with Factually Augmented RLHF - Zhiqing Sun; Sheng Shen; Shengcao Cao; Haotian Liu; Chunyuan Li; Yikang Shen; Chuang Gan; Liangyan Gui; Yu-Xiong Wang; Yiming Yang; Kurt Keutzer; Trevor Darrell (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

FlexAttention for Efficient High-Resolution Vision-Language Models - Junyan Li; Delin Chen; Tianle Cai; Peihao Chen; Yining Hong; Zhenfang Chen; Yikang Shen; Chuang Gan (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXV, 2024)

The Consensus Game: Language Model Generation via Equilibrium Search - Athul Paul Jacob; Yikang Shen; Gabriele Farina; Jacob Andreas (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding - Junyan Li; Delin Chen; Yining Hong; Zhenfang Chen; Peihao Chen; Yikang Shen; Chuang Gan (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

SALMON: Self-Alignment with Instructable Reward Models - Zhiqing Sun; Yikang Shen; Hongxin Zhang; Qinhong Zhou; Zhenfang Chen; David Daniel Cox; Yiming Yang; Chuang Gan (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits - Chen-Chia Chang; Yikang Shen; Shaoze Fan; Jing Li; Shun Zhang; Ningyuan Cao; Yiran Chen; Xin Zhang (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Gated Linear Attention Transformers with Hardware-Efficient Training - Songlin Yang; Bailin Wang; Yikang Shen; Rameswar Panda; Yoon Kim (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training - Wenyu Du; Tongxu Luo; Zihan Qiu; Zeyu Huang; Yikang Shen; Reynold Cheng; Yike Guo; Jie Fu (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision - Zhiqing Sun; Longhui Yu; Yikang Shen; Weiyang Liu; Yiming Yang; Sean Welleck; Chuang Gan (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Parallelizing Linear Transformers with the Delta Rule over Sequence Length - Songlin Yang; Bailin Wang; Yu Zhang; Yikang Shen; Yoon Kim (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models - Mayank Agarwal; Yikang Shen; Bailin Wang; Yoon Kim; Jie Chen (CoRR, 2024)

Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble - Shun Zhang; Zhenfang Chen; Sunli Chen; Yikang Shen; Zhiqing Sun; Chuang Gan (CoRR, 2024)

Diversity Measurement and Subset Selection for Instruction Tuning Datasets - Peiqi Wang; Yikang Shen; Zhen Guo; Matthew Stallone; Yoon Kim; Polina Golland; Rameswar Panda (CoRR, 2024)

API Pack: A Massive Multilingual Dataset for API Call Generation - Zhen Guo; Adriana Meza Soria; Wei Sun; Yikang Shen; Rameswar Panda (CoRR, 2024)

Scattered Mixture-of-Experts Implementation - Shawn Tan; Yikang Shen; Rameswar Panda; Aaron C. Courville (CoRR, 2024)

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision - Zhiqing Sun; Longhui Yu; Yikang Shen; Weiyang Liu; Yiming Yang; Sean Welleck; Chuang Gan (CoRR, 2024)

Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models - Bowen Pan; Yikang Shen; Haokun Liu; Mayank Mishra; Gaoyuan Zhang; Aude Oliva; Colin Raffel; Rameswar Panda (CoRR, 2024)

JetMoE: Reaching Llama2 Performance with 0.1M Dollars - Yikang Shen; Zhen Guo; Tianle Cai; Zengyi Qin (CoRR, 2024)

Granite Code Models: A Family of Open Foundation Models for Code Intelligence - Mayank Mishra; Matt Stallone; Gaoyuan Zhang; Yikang Shen; Aditya Prasad; Adriana Meza Soria; Michele Merler; Parameswaran Selvam; Saptha Surendran; Shivdeep Singh; Manish Sethi; Xuan-Hong Dang; et al. (CoRR, 2024)

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training - Wenyu Du; Tongxu Luo; Zihan Qiu; Zeyu Huang; Yikang Shen; Reynold Cheng; Yike Guo; Jie Fu (CoRR, 2024)

Parallelizing Linear Transformers with the Delta Rule over Sequence Length - Songlin Yang; Bailin Wang; Yu Zhang; Yikang Shen; Yoon Kim (CoRR, 2024)

Efficient Continual Pre-training by Mitigating the Stability Gap - Yiduo Guo; Jie Fu; Huishuai Zhang; Dongyan Zhao; Yikang Shen (CoRR, 2024)

Octo-planner: On-device Language Model for Planner-Action Agents - Wei Chen; Zhiyuan Li; Zhen Guo; Yikang Shen (CoRR, 2024)

The infrastructure powering IBM's Gen AI model development - Talia Gershon; Seetharami Seelam; Brian Belgodere; Milton Bonilla; Lan Hoang; Danny Barnett; I-Hsin Chung; Apoorve Mohan; Ming-Hung Chen; Lixiang Luo; Robert Walkup; Constantinos Evangelinos; et al. (CoRR, 2024)

Scaling Granite Code Models to 128K Context - Matt Stallone; Vaibhav Saxena; Leonid Karlinsky; Bridget McGinn; Tim Bula; Mayank Mishra; Adriana Meza Soria; Gaoyuan Zhang; Aditya Prasad; Yikang Shen; Saptha Surendran; Shanmukha C. Guttula; et al. (CoRR, 2024)

FlexAttention for Efficient High-Resolution Vision-Language Models - Junyan Li; Delin Chen; Tianle Cai; Peihao Chen; Yining Hong; Zhenfang Chen; Yikang Shen; Chuang Gan (CoRR, 2024)

Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler - Yikang Shen; Matthew Stallone; Mayank Mishra; Gaoyuan Zhang; Shawn Tan; Aditya Prasad; Adriana Meza Soria; David D. Cox; Rameswar Panda (CoRR, 2024)

Stick-breaking Attention - Shawn Tan; Yikang Shen; Songlin Yang; Aaron C. Courville; Rameswar Panda (CoRR, 2024)

Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners - Zitian Chen; Yikang Shen; Mingyu Ding; Zhenfang Chen; Hengshuang Zhao; Erik G. Learned-Miller; Chuang Gan (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention - Mingyu Ding; Yikang Shen; Lijie Fan; Zhenfang Chen; Zitian Chen; Ping Luo; Joshua B. Tenenbaum; Chuang Gan (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Sparse Universal Transformer - Shawn Tan; Yikang Shen; Zhenfang Chen; Aaron C. Courville; Chuang Gan (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

TextPSG: Panoptic Scene Graph Generation from Textual Descriptions - Chengyang Zhao; Yikang Shen; Zhenfang Chen; Mingyu Ding; Chuang Gan (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Transformer-Patcher: One Mistake Worth One Neuron - Zeyu Huang; Yikang Shen; Xiaofeng Zhang; Jie Zhou; Wenge Rong; Zhang Xiong (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Hyper-Decision Transformer for Efficient Online Policy Adaptation - Mengdi Xu; Yuchen Lu; Yikang Shen; Shun Zhang; Ding Zhao; Chuang Gan (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Planning with Large Language Models for Code Generation - Shun Zhang; Zhenfang Chen; Yikang Shen; Mingyu Ding; Joshua B. Tenenbaum; Chuang Gan (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision - Zhiqing Sun; Yikang Shen; Qinhong Zhou; Hongxin Zhang; Zhenfang Chen; David D. Cox; Yiming Yang; Chuang Gan (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Adaptive Online Replanning with Diffusion Models - Siyuan Zhou; Yilun Du; Shun Zhang; Mengdi Xu; Yikang Shen; Wei Xiao; Dit-Yan Yeung; Chuang Gan (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning - Zhenfang Chen; Qinhong Zhou; Yikang Shen; Yining Hong; Hao Zhang; Chuang Gan (CoRR, 2023)

Transformer-Patcher: One Mistake worth One Neuron - Zeyu Huang; Yikang Shen; Xiaofeng Zhang; Jie Zhou; Wenge Rong; Zhang Xiong (CoRR, 2023)

Planning with Large Language Models for Code Generation - Shun Zhang; Zhenfang Chen; Yikang Shen; Mingyu Ding; Joshua B. Tenenbaum; Chuang Gan (CoRR, 2023)

Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention - Mingyu Ding; Yikang Shen; Lijie Fan; Zhenfang Chen; Zitian Chen; Ping Luo; Joshua B. Tenenbaum; Chuang Gan (CoRR, 2023)

Hyper-Decision Transformer for Efficient Online Policy Adaptation - Mengdi Xu; Yuchen Lu; Yikang Shen; Shun Zhang; Ding Zhao; Chuang Gan (CoRR, 2023)

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision - Zhiqing Sun; Yikang Shen; Qinhong Zhou; Hongxin Zhang; Zhenfang Chen; David D. Cox; Yiming Yang; Chuang Gan (CoRR, 2023)

ModuleFormer: Learning Modular Large Language Models From Uncurated Data - Yikang Shen; Zheyu Zhang; Tianyou Cao; Shawn Tan; Zhenfang Chen; Chuang Gan (CoRR, 2023)

An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training - Zitian Chen; Mingyu Ding; Yikang Shen; Wei Zhan; Masayoshi Tomizuka; Erik G. Learned-Miller; Chuang Gan (CoRR, 2023)

Aligning Large Multimodal Models with Factually Augmented RLHF - Zhiqing Sun; Sheng Shen; Shengcao Cao; Haotian Liu; Chunyuan Li; Yikang Shen; Chuang Gan; Liang-Yan Gui; Yu-Xiong Wang; Yiming Yang; Kurt Keutzer; Trevor Darrell (CoRR, 2023)

GraphText: Graph Reasoning in Text Space - Jianan Zhao; Le Zhuo; Yikang Shen; Meng Qu; Kai Liu; Michael M. Bronstein; Zhaocheng Zhu; Jian Tang (CoRR, 2023)

SALMON: Self-Alignment with Principle-Following Reward Models - Zhiqing Sun; Yikang Shen; Hongxin Zhang; Qinhong Zhou; Zhenfang Chen; David D. Cox; Yiming Yang; Chuang Gan (CoRR, 2023)

TextPSG: Panoptic Scene Graph Generation from Textual Descriptions - Chengyang Zhao; Yikang Shen; Zhenfang Chen; Mingyu Ding; Chuang Gan (CoRR, 2023)

Sparse Universal Transformer - Shawn Tan; Yikang Shen; Zhenfang Chen; Aaron C. Courville; Chuang Gan (CoRR, 2023)

The Consensus Game: Language Model Generation via Equilibrium Search - Athul Paul Jacob; Yikang Shen; Gabriele Farina; Jacob Andreas (CoRR, 2023)

Adaptive Online Replanning with Diffusion Models - Siyuan Zhou; Yilun Du; Shun Zhang; Mengdi Xu; Yikang Shen; Wei Xiao; Dit-Yan Yeung; Chuang Gan (CoRR, 2023)

Autonomous Tree-search Ability of Large Language Models - Zheyu Zhang; Zhuorui Ye; Yikang Shen; Chuang Gan (CoRR, 2023)

CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding - Junyan Li; Delin Chen; Yining Hong; Zhenfang Chen; Peihao Chen; Yikang Shen; Chuang Gan (CoRR, 2023)

Gated Linear Attention Transformers with Hardware-Efficient Training - Songlin Yang; Bailin Wang; Yikang Shen; Rameswar Panda; Yoon Kim (CoRR, 2023)

Unsupervised Dependency Graph Network - Yikang Shen; Shawn Tan; Alessandro Sordoni; Peng Li; Jie Zhou; Aaron C. Courville (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022)

Phrase-aware Unsupervised Constituency Parsing - Xiaotao Gu; Yikang Shen; Jiaming Shen; Jingbo Shang; Jiawei Han (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022)

Mixture of Attention Heads: Selecting Attention Heads Per Token - Xiaofeng Zhang; Yikang Shen; Zeyu Huang; Jie Zhou; Wenge Rong; Zhang Xiong (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

Prompting Decision Transformer for Few-Shot Policy Generalization - Mengdi Xu; Yikang Shen; Shun Zhang; Yuchen Lu; Ding Zhao; Joshua B. Tenenbaum; Chuang Gan (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Syntactic Inductive Biases for Deep Learning Methods - Yikang Shen (CoRR, 2022)

Prompting Decision Transformer for Few-Shot Policy Generalization - Mengdi Xu; Yikang Shen; Shun Zhang; Yuchen Lu; Ding Zhao; Joshua B. Tenenbaum; Chuang Gan (CoRR, 2022)

Mixture of Attention Heads: Selecting Attention Heads Per Token - Xiaofeng Zhang; Yikang Shen; Zeyu Huang; Jie Zhou; Wenge Rong; Zhang Xiong (CoRR, 2022)

Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners - Zitian Chen; Yikang Shen; Mingyu Ding; Zhenfang Chen; Hengshuang Zhao; Erik G. Learned-Miller; Chuang Gan (CoRR, 2022)

StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling - Yikang Shen; Yi Tay; Che Zheng; Dara Bahri; Donald Metzler; Aaron C. Courville (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 2021)

Learning Task Decomposition with Ordered Memory Policy Network - Yuchen Lu; Yikang Shen; Siyuan Zhou; Aaron C. Courville; Joshua B. Tenenbaum; Chuang Gan (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Long Range Arena : A Benchmark for Efficient Transformers - Yi Tay; Mostafa Dehghani; Samira Abnar; Yikang Shen; Dara Bahri; Philip Pham; Jinfeng Rao; Liu Yang; Sebastian Ruder; Donald Metzler (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021)

Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle - Yikang Shen; Shawn Tan; Alessandro Sordoni; Siva Reddy; Aaron C. Courville (Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021, 2021)

Self-Instantiated Recurrent Units with Dynamic Soft Recursion - Aston Zhang; Yi Tay; Yikang Shen; Alvin Chan; Shuai Zhang (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Learning Task Decomposition with Ordered Memory Policy Network - Yuchen Lu; Yikang Shen; Siyuan Zhou; Aaron C. Courville; Joshua B. Tenenbaum; Chuang Gan (CoRR, 2021)

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach - Wenyu Du; Zhouhan Lin; Yikang Shen; Timothy J. O'Donnell; Yoshua Bengio; Yue Zhang (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020)

Recursive Top-Down Production for Sentence Generation with Latent Trees - Shawn Tan; Yikang Shen; Alessandro Sordoni; Aaron C. Courville; Timothy J. O'Donnell (Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020, 2020)

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach - Wenyu Du; Zhouhan Lin; Yikang Shen; Timothy J. O'Donnell; Yoshua Bengio; Yue Zhang (CoRR, 2020)

Recursive Top-Down Production for Sentence Generation with Latent Trees - Shawn Tan; Yikang Shen; Timothy J. O'Donnell; Alessandro Sordoni; Aaron C. Courville (CoRR, 2020)

Long Range Arena: A Benchmark for Efficient Transformers - Yi Tay; Mostafa Dehghani; Samira Abnar; Yikang Shen; Dara Bahri; Philip Pham; Jinfeng Rao; Liu Yang; Sebastian Ruder; Donald Metzler (CoRR, 2020)

Explicitly Modeling Syntax in Language Model improves Generalization - Yikang Shen; Shawn Tan; Alessandro Sordoni; Siva Reddy; Aaron C. Courville (CoRR, 2020)

StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling - Yikang Shen; Yi Tay; Che Zheng; Dara Bahri; Donald Metzler; Aaron C. Courville (CoRR, 2020)

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks - Yikang Shen; Shawn Tan; Alessandro Sordoni; Aaron C. Courville (7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, 2019)

Ordered Memory - Yikang Shen; Shawn Tan; Seyed Arian Hosseini; Zhouhan Lin; Alessandro Sordoni; Aaron C. Courville (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

Investigating Biases in Textual Entailment Datasets - Shawn Tan; Yikang Shen; Chin-Wei Huang; Aaron C. Courville (CoRR, 2019)

Ordered Memory - Yikang Shen; Shawn Tan; Seyedarian Hosseini; Zhouhan Lin; Alessandro Sordoni; Aaron C. Courville (CoRR, 2019)

Biological Event Trigger Identification with Noise Contrastive Estimation - Nan Jiang; Wenge Rong; Yifan Nie; Yikang Shen; Zhang Xiong (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance - Yikang Shen; Zhouhan Lin; Athul Paul Jacob; Alessandro Sordoni; Aaron C. Courville; Yoshua Bengio (Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, 2018)

BanditSum: Extractive Summarization as a Contextual Bandit - Yue Dong; Yikang Shen; Eric Crawford; Herke van Hoof; Jackie Chi Kit Cheung (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018)

Neural Language Modeling by Jointly Learning Syntax and Lexicon - Yikang Shen; Zhouhan Lin; Chin-Wei Huang; Aaron C. Courville (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Generating Contradictory, Neutral, and Entailing Sentences - Yikang Shen; Shawn Tan; Chin-Wei Huang; Aaron C. Courville (CoRR, 2018)

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance - Yikang Shen; Zhouhan Lin; Athul Paul Jacob; Alessandro Sordoni; Aaron C. Courville; Yoshua Bengio (CoRR, 2018)

BanditSum: Extractive Summarization as a Contextual Bandit - Yue Dong; Yikang Shen; Eric Crawford; Herke van Hoof; Jackie Chi Kit Cheung (CoRR, 2018)

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks - Yikang Shen; Shawn Tan; Alessandro Sordoni; Aaron C. Courville (CoRR, 2018)

Word Embedding Based Correlation Model for Question/Answer Matching - Yikang Shen; Wenge Rong; Nan Jiang; Baolin Peng; Jie Tang; Zhang Xiong (Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, 2017)

Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models - Nan Jiang; Wenge Rong; Min Gao; Yikang Shen; Zhang Xiong (Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, 2017)

Self-organized Hierarchical Softmax - Yikang Shen; Shawn Tan; Christopher Joseph Pal; Aaron C. Courville (CoRR, 2017)

Neural Language Modeling by Jointly Learning Syntax and Lexicon - Yikang Shen; Zhouhan Lin; Chin-Wei Huang; Aaron C. Courville (CoRR, 2017)

Multidimensional scaling based knowledge provision for new questions in community Question Answering systems - Siqi Xiang; Wenge Rong; Yikang Shen; Yuanxin Ouyang; Zhang Xiong (2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016, 2016)

Convolutional Neural Network based sentiment analysis using Adaboost combination - Yazhi Gao; Wenge Rong; Yikang Shen; Zhang Xiong (2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016, 2016)

Question/Answer Matching for CQA System via Combining Lexical and Sequential Information - Yikang Shen; Wenge Rong; Zhiwei Sun; Yuanxin Ouyang; Zhang Xiong (Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, 2015)

Word Embedding based Correlation Model for Question/Answer Matching - Yikang Shen; Wenge Rong; Nan Jiang; Baolin Peng; Jie Tang; Zhang Xiong (CoRR, 2015)

Choosing the Best Auto-Encoder-Based Bagging Classifier: An Empirical Study - Yifan Nie; Wenge Rong; Yikang Shen; Chao Li; Zhang Xiong (Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I, 2014)

Influencing Factors Analysis of People's Answering Behaviours on Social Network Based Questions - Zhiwei Sun; Wenge Rong; Yikang Shen; Yuanxin Ouyang; Chao Li; Zhang Xiong (2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, Bali, Indonesia, December 9-12, 2014, 2014)