Dynamic routing with endpoint admission control for V61P networks. - Xiang Kong; Kenichi Mase (ICC, 2003)

Performance Improvement of Probabilistic Transcriptions with Language-specific Constraints. - Xiang Kong; Preethi Jyothi; Mark Hasegawa-Johnson (SLTU, 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)

Landmark-based consonant voicing detection on multilingual corpora. - Xiang Kong; Xuesong Yang; Mark Hasegawa-Johnson; Jeung-Yoon Choi; Stefanie Shattuck-Hufnagel (CoRR, 2016)

Evaluating automatic speech recognition systems in comparison with human perception results using distinctive feature measures. - Xiang Kong; Jeung-Yoon Choi; Stefanie Shattuck-Hufnagel (ICASSP, 2017)

Neural Machine Translation with Adequacy-Oriented Learning. - Xiang Kong; Zhaopeng Tu; Shuming Shi 001; Eduard H. Hovy; Tong Zhang 001 (AAAI, 2019)

Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. - Xiang Kong; Qizhe Xie; Zihang Dai; Eduard H. Hovy (AAAI, 2019)

Generalized Data Augmentation for Low-Resource Translation. - Mengzhou Xia; Xiang Kong; Antonios Anastasopoulos; Graham Neubig (ACL (1), 2019)

MaCow: Masked Convolutional Generative Flow. - Xuezhe Ma; Xiang Kong; Shanghang Zhang; Eduard H. Hovy (NeurIPS, 2019)

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. - Eduard H. Hovy; Jaime G. Carbonell; Hans Chalupsky; Anatole Gershman; Alex Hauptmann 001; Florian Metze; Teruko Mitamura; Zaid Sheikh; Ankit Dangi; Aditi Chaudhary; Xianyang Chen; Xiang Kong; et al. (TAC, 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)

Decompressing Knowledge Graph Representations for Link Prediction. - Xiang Kong; Xianyang Chen; Eduard H. Hovy (CoRR, 2019)

SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations. - Xiang Kong; Varun Gangal; Eduard H. Hovy (ACL, 2020)

A Two-Step Approach for Implicit Event Argument Detection. - Zhisong Zhang; Xiang Kong; Zhengzhong Liu 001; Xuezhe Ma; Eduard H. Hovy (ACL, 2020)

Incorporating a Local Translation Mechanism into Non-autoregressive Translation. - Xiang Kong; Zhisong Zhang; Eduard H. Hovy (EMNLP (1), 2020)

An Empirical Exploration of Local Ordering Pre-training for Structured Learning. - Zhisong Zhang; Xiang Kong; Lori S. Levin; Eduard H. Hovy (EMNLP (Findings), 2020)

Deep Transformers with Latent Depth. - Xian Li 003; Asa Cooper Stickland; Yuqing Tang; Xiang Kong (NeurIPS, 2020)

Decoupling Global and Local Representations from/for Image Generation. - Xuezhe Ma; Xiang Kong; Shanghang Zhang; Eduard H. Hovy (CoRR, 2020)

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade. - Jiatao Gu; Xiang Kong (ACL/IJCNLP (Findings), 2021)

Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders. - Xiang Kong; Adithya Renduchintala; James Cross 003; Yuqing Tang; Jiatao Gu; Xian Li 003 (EACL, 2021)

Decoupling Global and Local Representations via Invertible Generative Flows. - Xuezhe Ma; Xiang Kong; Shanghang Zhang; Eduard H. Hovy (ICLR, 2021)

Luna: Linear Unified Nested Attention. - Xuezhe Ma; Xiang Kong; Sinong Wang; Chunting Zhou; Jonathan May; Hao Ma 001; Luke Zettlemoyer (NeurIPS, 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)

BLT: Bidirectional Layout Transformer for Controllable Layout Generation. - Xiang Kong; Lu Jiang 004; Huiwen Chang; Han Zhang 010; Yuan Hao; Haifeng Gong; Irfan Essa (ECCV (17), 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)

Towards Efficient Neural Machine Translation - Xiang Kong (2022)

Mega: Moving Average Equipped Gated Attention. - Xuezhe Ma; Chunting Zhou; Xiang Kong; Junxian He; Liangke Gui; Graham Neubig; Jonathan May; Luke Zettlemoyer (ICLR, 2023)

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 001 (ACL (1), 2024)

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Anton Belyi; Haotian Zhang 005; Karanjeet Singh 003; et al. (ECCV (29), 2024)

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. - Brandon McKinzie; Zhe Gan; Jean-Philippe Fauconnier; Sam Dodge; Bowen Zhang 002; Philipp Dufter; Dhruti Shah; Xianzhi Du; Futang Peng; Floris Weers; Anton Belyi; Haotian Zhang 005; et al. (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)

Large Language Model-guided Document Selection. - Xiang Kong; Tom Gunter; Ruoming Pang (CoRR, 2024)

Apple Intelligence Foundation Language Models. - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang 002; Chen Chen 005; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 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 001; Philip S. Yu; Meng Cao (CoRR, 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)

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 (ICLR, 2025)

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. - Aiwei Liu; Haoping Bai; Zhiyun Lu; Yanchao Sun; Xiang Kong; Xiaoming Simon Wang; Jiulong Shan; Albin Madappally Jose; Xiaojiang Liu; Lijie Wen 001; Philip S. Yu; Meng Cao (ICLR, 2025)

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. - Yen-Ju Lu; Ting-Yao Hu; Hema Swetha Koppula; Hadi Pouransari; Jen-Hao Rick Chang; Yin Xia; Xiang Kong; Qi Zhu 011; Simon Wang; Oncel Tuzel; Raviteja Vemulapalli (NAACL (Findings), 2025)

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 002; et al. (NAACL (Findings), 2025)

AXLearn: Modular Large Model Training on Heterogeneous Infrastructure. - 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; et al. (CoRR, 2025)

Checklists Are Better Than Reward Models For Aligning Language Models. - Vijay Viswanathan 002; Yanchao Sun; Shuang Ma; Xiang Kong; Meng Cao; Graham Neubig; Tongshuang Wu (CoRR, 2025)