Xiang Kong

According to our database, Xiang Kong authored at least 37 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Spatial and Temporal Dynamics of Homestays on Chongming Island: A Systemic Analysis in the Context of World-Class Eco-Island Development.

Xiangxiang Fu, Xiang Kong

Syst., 2024

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao

CoRR, 2024

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo.

Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang

CoRR, 2024

Apple Intelligence Foundation Language Models.

Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng

CoRR, 2024

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.

Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang

CoRR, 2024

Large Language Model-guided Document Selection.

Xiang Kong, Tom Gunter, Ruoming Pang

CoRR, 2024

Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training.

Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang

CoRR, 2024

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

CoRR, 2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen

CoRR, 2024

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training.

Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Xiaoming Wang, Jiulong Shan, Meng Cao, Lijie Wen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Mega: Moving Average Equipped Gated Attention.

Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Exploring the dynamics of the disaggregated intercity corporate network in the Yangtze River Delta, China: a relational event approach.

Luqi Li, Ben Derudder, Wei Shen, Xiang Kong

J. Geogr. Syst., 2022

BLT: Bidirectional Layout Transformer for Controllable Layout Generation.

Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A machine learning approach to the simulation of intercity corporate networks in mainland China.

Luqi Li, Ben Derudder, Xiang Kong

Comput. Environ. Urban Syst., 2021

Luna: Linear Unified Nested Attention.

Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decoupling Global and Local Representations via Invertible Generative Flows.

Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy

Proceedings of the 9th International Conference on Learning Representations, 2021

Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders.

Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade.

Jiatao Gu, Xiang Kong

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Decoupling Global and Local Representations from/for Image Generation.

Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy

CoRR, 2020

Deep Transformers with Latent Depth.

Xian Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Empirical Exploration of Local Ordering Pre-training for Structured Learning.

Zhisong Zhang, Xiang Kong, Lori S. Levin, Eduard H. Hovy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Incorporating a Local Translation Mechanism into Non-autoregressive Translation.

Xiang Kong, Zhisong Zhang, Eduard H. Hovy

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Two-Step Approach for Implicit Event Argument Detection.

Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma, Eduard H. Hovy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations.

Xiang Kong, Varun Gangal, Eduard H. Hovy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Decompressing Knowledge Graph Representations for Link Prediction.

Xiang Kong, Xianyang Chen, Eduard H. Hovy

CoRR, 2019

An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation.

Xiang Kong, Bohan Li, Graham Neubig, Eduard H. Hovy, Yiming Yang

CoRR, 2019

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis.

Eduard H. Hovy, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alex Hauptmann, Florian Metze, Teruko Mitamura, Zaid Sheikh, Ankit Dangi, Aditi Chaudhary, Xianyang Chen, Xiang Kong, Bernie Huang, Salvador Medina, Hector Liu, Xuezhe Ma, Maria Ryskina, Ramon Sanabria, Varun Gangal

Proceedings of the 2019 Text Analysis Conference, 2019

MaCow: Masked Convolutional Generative Flow.

Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generalized Data Augmentation for Low-Resource Translation.

Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation.

Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Neural Machine Translation with Adequacy-Oriented Learning.

Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Evaluating automatic speech recognition systems in comparison with human perception results using distinctive feature measures.

Xiang Kong, Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Landmark-based consonant voicing detection on multilingual corpora.

Xiang Kong, Xuesong Yang, Mark Hasegawa-Johnson, Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel

CoRR, 2016

Performance Improvements of Probabilistic Transcript-adapted ASR with Recurrent Neural Network and Language-specific Constraints.

Xiang Kong, Preethi Jyothi, Mark Hasegawa-Johnson

CoRR, 2016

Performance Improvement of Probabilistic Transcriptions with Language-specific Constraints.

Xiang Kong, Preethi Jyothi, Mark Hasegawa-Johnson

Proceedings of the SLTU-2016, 2016

2003

Dynamic routing with endpoint admission control for V61P networks.

Xiang Kong, Kenichi Mase

Proceedings of IEEE International Conference on Communications, 2003