Xiang Kong - RankMe

57 papers A* 11A 1Misc 1Journal 31Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AXLearn: Modular Large Model Training on Heterogeneous Infrastructure. CoRR Mark Lee, Tom Gunter, Chang Lan, John Peebles, Hanzhi Zhou, Kelvin Zou, Sneha Bangalore, Chung-Cheng Chiu, Nan Du, Xianzhi Du, Philipp Dufter, Ruixuan Hou, Haoshuo Huang, Dongseong Hwang, Xiang Kong, Jinhao Lei, Tao Lei, Meng Li, Li Li, Jiarui Lu, Zhiyun Lu, Yiping Ma, David Qiu, Vivek Rathod, Senyu Tong, Zhucheng Tu, Jianyu Wang, Yongqiang Wang, Zirui Wang, Floris Weers, Sam Wiseman, Guoli Yin, Bowen Zhang, Xiyou Zhou, Danyang Zhuo, Cheng Leong, Ruoming Pang
2025	J	`jnl`	Checklists Are Better Than Reward Models For Aligning Language Models. CoRR Vijay Viswanathan, Yanchao Sun, Shuang Ma, Xiang Kong, Meng Cao, Graham Neubig, Tongshuang Wu
2025	—	`conf`	MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. NAACL (Findings) 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
2025	—	`conf`	Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. NAACL (Findings) Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2025	J	`jnl`	Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. CoRR Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2025	J	`jnl`	Nextv2-DETR: lightweight real-time classification model of potatoes based on improved RT-DETR for mobile deployment. Comput. Electron. Agric. Xiang Kong, Fei Liu, Yingsi Wu, Lihe Wang, Wenxue Dong, Xuan Zhao
2025	A*	`conf`	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. ICLR Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2025	A*	`conf`	TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. ICLR Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao
2024	—	`conf`	Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. ACL (1) Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen
2024	J	`jnl`	Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. CoRR Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen
2024	J	`jnl`	Large Language Model-guided Document Selection. CoRR Xiang Kong, Tom Gunter, Ruoming Pang
2024	J	`jnl`	MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR 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
2024	—	`conf`	MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. ECCV (29) 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
2024	J	`jnl`	MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR 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
2024	J	`jnl`	Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training. CoRR Xianzhi Du, Tom Gunter, Xiang Kong, Mark Lee, Zirui Wang, Aonan Zhang, Nan Du, Ruoming Pang
2024	J	`jnl`	Spatial and Temporal Dynamics of Homestays on Chongming Island: A Systemic Analysis in the Context of World-Class Eco-Island Development. Syst. Xiangxiang Fu, Xiang Kong
2024	J	`jnl`	Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. CoRR Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
2024	J	`jnl`	TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. CoRR 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
2023	A*	`conf`	Mega: Moving Average Equipped Gated Attention. ICLR Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2022	—	`conf`	BLT: Bidirectional Layout Transformer for Controllable Layout Generation. ECCV (17) Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa
2022	J	`jnl`	Exploring the dynamics of the disaggregated intercity corporate network in the Yangtze River Delta, China: a relational event approach. J. Geogr. Syst. Luqi Li, Ben Derudder, Wei Shen, Xiang Kong
2022	J	`jnl`	Mega: Moving Average Equipped Gated Attention. CoRR Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2022	J	`jnl`	Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. CoRR Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li
2022	—	`—`	Towards Efficient Neural Machine Translation Xiang Kong
2021	J	`jnl`	A machine learning approach to the simulation of intercity corporate networks in mainland China. Comput. Environ. Urban Syst. Luqi Li, Ben Derudder, Xiang Kong
2021	J	`jnl`	BLT: Bidirectional Layout Transformer for Controllable Layout Generation. CoRR Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa
2021	A*	`conf`	Decoupling Global and Local Representations via Invertible Generative Flows. ICLR Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy
2021	—	`conf`	Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. ACL/IJCNLP (Findings) Jiatao Gu, Xiang Kong
2021	A*	`conf`	Luna: Linear Unified Nested Attention. NeurIPS Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021	J	`jnl`	Luna: Linear Unified Nested Attention. CoRR Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021	A	`conf`	Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. EACL Xiang Kong, Adithya Renduchintala, James Cross, Yuqing Tang, Jiatao Gu, Xian Li
2020	A*	`conf`	A Two-Step Approach for Implicit Event Argument Detection. ACL Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma, Eduard H. Hovy
2020	—	`conf`	An Empirical Exploration of Local Ordering Pre-training for Structured Learning. EMNLP (Findings) Zhisong Zhang, Xiang Kong, Lori S. Levin, Eduard H. Hovy
2020	J	`jnl`	Decoupling Global and Local Representations from/for Image Generation. CoRR Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy
2020	A*	`conf`	Deep Transformers with Latent Depth. NeurIPS Xian Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong
2020	J	`jnl`	Deep Transformers with Latent Depth. CoRR Xian Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong
2020	J	`jnl`	Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. CoRR Jiatao Gu, Xiang Kong
2020	—	`conf`	Incorporating a Local Translation Mechanism into Non-autoregressive Translation. EMNLP (1) Xiang Kong, Zhisong Zhang, Eduard H. Hovy
2020	J	`jnl`	Incorporating a Local Translation Mechanism into Non-autoregressive Translation. CoRR Xiang Kong, Zhisong Zhang, Eduard H. Hovy
2020	A*	`conf`	SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations. ACL Xiang Kong, Varun Gangal, Eduard H. Hovy
2020	J	`jnl`	SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations. CoRR Xiang Kong, Varun Gangal, Eduard H. Hovy
2019	J	`jnl`	An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation. CoRR Xiang Kong, Bohan Li, Graham Neubig, Eduard H. Hovy, Yiming Yang
2019	J	`jnl`	Decompressing Knowledge Graph Representations for Link Prediction. CoRR Xiang Kong, Xianyang Chen, Eduard H. Hovy
2019	A*	`conf`	Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. AAAI Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy
2019	—	`conf`	Generalized Data Augmentation for Low-Resource Translation. ACL (1) Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig
2019	J	`jnl`	Generalized Data Augmentation for Low-Resource Translation. CoRR Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig
2019	A*	`conf`	MaCow: Masked Convolutional Generative Flow. NeurIPS Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy
2019	A*	`conf`	Neural Machine Translation with Adequacy-Oriented Learning. AAAI Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang
2019	—	`conf`	OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 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
2018	J	`jnl`	Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. CoRR Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy
2018	J	`jnl`	Neural Machine Translation with Adequacy-Oriented Learning. CoRR Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang
2017	Misc	`conf`	Evaluating automatic speech recognition systems in comparison with human perception results using distinctive feature measures. ICASSP Xiang Kong, Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel
2016	J	`jnl`	Evaluating Automatic Speech Recognition Systems in Comparison With Human Perception Results Using Distinctive Feature Measures. CoRR Xiang Kong, Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel
2016	J	`jnl`	Landmark-based consonant voicing detection on multilingual corpora. CoRR Xiang Kong, Xuesong Yang, Mark Hasegawa-Johnson, Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel
2016	—	`conf`	Performance Improvement of Probabilistic Transcriptions with Language-specific Constraints. SLTU Xiang Kong, Preethi Jyothi, Mark Hasegawa-Johnson
2016	J	`jnl`	Performance Improvements of Probabilistic Transcript-adapted ASR with Recurrent Neural Network and Language-specific Constraints. CoRR Xiang Kong, Preethi Jyothi, Mark Hasegawa-Johnson
2003	—	`conf`	Dynamic routing with endpoint admission control for V61P networks. ICC Xiang Kong, Kenichi Mase