Xian Li - RankMe

101 papers A* 14A 4B 1Journal 57Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reasoning over mathematical objects: on-policy reward modeling and test time aggregation. CoRR Pranjal Aggarwal, Marjan Ghazvininejad, Seungone Kim, Ilia Kulikov, Jack Lanchantin, Xian Li, Tianjian Li, Bo Liu, Graham Neubig, Anaelia Ovalle, Swarnadeep Saha, Sainbayar Sukhbaatar, Sean Welleck, Jason Weston, Chenxi Whitehouse, Adina Williams, Jing Xu, Ping Yu, Weizhe Yuan, Jingyu Zhang, Wenting Zhao
2025	J	`jnl`	Agent Learning via Early Experience. CoRR Kai Zhang, Xiangchao Chen, Bo Liu, Tianci Xue, Zeyi Liao, Zhihan Liu, Xiyao Wang, Yuting Ning, Zhaorun Chen, Xiaohan Fu, Jian Xie, Yuxuan Sun, Boyu Gou, Qi Qi, Zihang Meng, Jianwei Yang, Ning Zhang, Xian Li, Ashish Shah, Dat Huynh, Hengduo Li, Zi Yang, Sara Cao, Lawrence Jang, Shuyan Zhou, Jiacheng Zhu, Huan Sun, Jason Weston, Yu Su, Yifan Wu
2025	J	`jnl`	Bridging Offline and Online Reinforcement Learning for LLMs. CoRR Jack Lanchantin, Angelica Chen, Janice Lan, Xian Li, Swarnadeep Saha, Tianlu Wang, Jing Xu, Ping Yu, Weizhe Yuan, Jason E. Weston, Sainbayar Sukhbaatar, Ilia Kulikov
2025	J	`jnl`	J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning. CoRR Chenxi Whitehouse, Tianlu Wang, Ping Yu, Xian Li, Jason Weston, Ilia Kulikov, Swarnadeep Saha
2025	J	`jnl`	LLM Pretraining with Continuous Concepts. CoRR Jihoon Tack, Jack Lanchantin, Jane Yu, Andrew Cohen, Ilia Kulikov, Janice Lan, Shibo Hao, Yuandong Tian, Jason Weston, Xian Li
2025	A*	`conf`	Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. ICML Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E. Weston, Tianlu Wang
2025	J	`jnl`	Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. CoRR Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason Weston, Tianlu Wang
2025	J	`jnl`	Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework. CoRR Dong Wang, Yang Li, Ansong Ni, Ching-Feng Yeh, Youssef Emad, Xinjie Lei, Liam Robbins, Karthik Padthe, Hu Xu, Xian Li, Asli Celikyilmaz, Ramya Raghavendra, Lifei Huang, Carole-Jean Wu, Shang-wen Li
2025	J	`jnl`	NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions. CoRR Weizhe Yuan, Jane Yu, Song Jiang, Karthik Padthe, Yang Li, Dong Wang, Ilia Kulikov, Kyunghyun Cho, Yuandong Tian, Jason E. Weston, Xian Li
2025	J	`jnl`	NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks. CoRR Yang Li, Youssef Emad, Karthik Padthe, Jack Lanchantin, Weizhe Yuan, Thao Nguyen, Jason Weston, Shang-wen Li, Dong Wang, Ilia Kulikov, Xian Li
2025	J	`jnl`	Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models. CoRR Thao Nguyen, Yang Li, Olga Golovneva, Luke Zettlemoyer, Sewoong Oh, Ludwig Schmidt, Xian Li
2025	J	`jnl`	SPICE: Self-Play In Corpus Environments Improves Reasoning. CoRR Bo Liu, Chuanyang Jin, Seungone Kim, Weizhe Yuan, Wenting Zhao, Ilia Kulikov, Xian Li, Sainbayar Sukhbaatar, Jack Lanchantin, Jason Weston
2025	J	`jnl`	SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks. CoRR Yifei Zhou, Song Jiang, Yuandong Tian, Jason Weston, Sergey Levine, Sainbayar Sukhbaatar, Xian Li
2025	J	`jnl`	Scaling Agent Learning via Experience Synthesis. CoRR Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Sara Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason Weston, Dat Huynh
2025	J	`jnl`	Self-Challenging Language Model Agents. CoRR Yifei Zhou, Sergey Levine, Jason Weston, Xian Li, Sainbayar Sukhbaatar
2025	J	`jnl`	The Era of Real-World Human Interaction: RL from User Conversations. CoRR Chuanyang Jin, Jing Xu, Bo Liu, Leitian Tao, Olga Golovneva, Tianmin Shu, Wenting Zhao, Xian Li, Jason Weston
2024	—	`conf`	Better Alignment with Instruction Back-and-Forth Translation. EMNLP (Findings) Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason Weston, Luke Zettlemoyer, Xian Li
2024	J	`jnl`	Better Alignment with Instruction Back-and-Forth Translation. CoRR Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason Weston, Luke Zettlemoyer, Xian Li
2024	—	`conf`	Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. NAACL-HLT Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li
2024	J	`jnl`	Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. CoRR Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li
2024	—	`conf`	Chain-of-Verification Reduces Hallucination in Large Language Models. ACL (Findings) Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason Weston
2024	A*	`conf`	Self-Alignment with Instruction Backtranslation. ICLR Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis
2024	A*	`conf`	Self-Rewarding Language Models. ICML Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston
2024	J	`jnl`	Self-Taught Evaluators. CoRR Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, Xian Li
2024	—	`conf`	To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning. EMNLP (System Demonstrations) Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine T. Kao, Maryam Fazel-Zarandi, Yuandong Tian
2024	J	`jnl`	To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning. CoRR Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine T. Kao, Maryam Fazel-Zarandi, Yuandong Tian
2024	J	`jnl`	Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning. CoRR Song Jiang, Da Ju, Andrew Cohen, Sasha Mitts, Aaron Foss, Justine T. Kao, Xian Li, Yuandong Tian
2024	J	`jnl`	Training Large Language Models to Reason in a Continuous Latent Space. CoRR Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, Yuandong Tian
2023	J	`jnl`	Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. CoRR Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li
2023	J	`jnl`	Chain-of-Verification Reduces Hallucination in Large Language Models. CoRR Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason Weston
2023	J	`jnl`	Large Language Model Programs. CoRR Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-tau Yih, Jason Weston, Jürgen Schmidhuber, Xian Li
2023	A	`conf`	Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. EACL Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer
2023	J	`jnl`	Self-Alignment with Instruction Backtranslation. CoRR Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Luke Zettlemoyer, Omer Levy, Jason Weston, Mike Lewis
2023	A*	`conf`	Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model. EMNLP Zeyu Liu, Tim Dettmers, Xi Lin, Veselin Stoyanov, Xian Li
2023	J	`jnl`	Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model. CoRR Leo Z. Liu, Tim Dettmers, Xi Victoria Lin, Veselin Stoyanov, Xian Li
2022	J	`jnl`	Efficient Language Modeling with Sparse all-MLP. CoRR Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li
2022	A*	`conf`	Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov
2022	A*	`conf`	Few-shot Learning with Multilingual Generative Language Models. EMNLP Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2022	—	`conf`	Lifting the Curse of Multilinguality by Pre-training Modular Transformers. NAACL-HLT Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
2022	J	`jnl`	Lifting the Curse of Multilinguality by Pre-training Modular Transformers. CoRR Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, Xian Li, James Cross, Sebastian Riedel, Mikel Artetxe
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	J	`jnl`	OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. CoRR Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov
2022	J	`jnl`	OPT: Open Pre-trained Transformer Language Models. CoRR Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer
2022	A*	`conf`	ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. EMNLP Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab
2022	J	`jnl`	ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. CoRR Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Ves Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona T. Diab
2022	—	`conf`	Unified Speech-Text Pre-training for Speech Translation and Recognition. ACL (1) Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino
2022	J	`jnl`	Unified Speech-Text Pre-training for Speech Translation and Recognition. CoRR Yun Tang, Hongyu Gong, Ning Dong, Changhan Wang, Wei-Ning Hsu, Jiatao Gu, Alexei Baevski, Xian Li, Abdelrahman Mohamed, Michael Auli, Juan Miguel Pino
2021	J	`jnl`	Adaptive Sparse Transformer for Multilingual Translation. CoRR Hongyu Gong, Xian Li, Dmitriy Genzel
2021	—	`conf`	Distributionally Robust Multilingual Machine Translation. EMNLP (1) Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig
2021	J	`jnl`	Distributionally Robust Multilingual Machine Translation. CoRR Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig
2021	J	`jnl`	Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs. CoRR Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer
2021	J	`jnl`	Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov
2021	—	`conf`	FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task. IWSLT Yun Tang, Hongyu Gong, Xian Li, Changhan Wang, Juan Miguel Pino, Holger Schwenk, Naman Goyal
2021	J	`jnl`	FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task. CoRR Yun Tang, Hongyu Gong, Xian Li, Changhan Wang, Juan Miguel Pino, Holger Schwenk, Naman Goyal
2021	J	`jnl`	Few-shot Learning with Multilingual Language Models. CoRR Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2021	J	`jnl`	Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation. CoRR Adithya Renduchintala, Denise Díaz, Kenneth Heafield, Xian Li, Mona T. Diab
2021	—	`conf`	Gender bias amplification during Speed-Quality optimization in Neural Machine Translation. ACL/IJCNLP (2) Adithya Renduchintala, Denise Díaz, Kenneth Heafield, Xian Li, Mona T. Diab
2021	—	`conf`	Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task. ACL/IJCNLP (1) Yun Tang, Juan Miguel Pino, Xian Li, Changhan Wang, Dmitriy Genzel
2021	J	`jnl`	Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task. CoRR Yun Tang, Juan Miguel Pino, Xian Li, Changhan Wang, Dmitriy Genzel
2021	—	`conf`	Improving Zero-Shot Translation by Disentangling Positional Information. ACL/IJCNLP (1) Danni Liu, Jan Niehues, James Cross, Francisco Guzmán, Xian Li
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
2021	—	`conf`	Multilingual Speech Translation from Efficient Finetuning of Pretrained Models. ACL/IJCNLP (1) Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Miguel Pino, Alexei Baevski, Alexis Conneau, Michael Auli
2021	—	`conf`	Multilingual Translation from Denoising Pre-Training. ACL/IJCNLP (Findings) Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan
2021	A*	`conf`	Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling. NeurIPS Hongyu Gong, Yun Tang, Juan Miguel Pino, Xian Li
2021	J	`jnl`	Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling. CoRR Hongyu Gong, Yun Tang, Juan Miguel Pino, Xian Li
2021	A	`conf`	Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. EACL Asa Cooper Stickland, Xian Li, Marjan Ghazvininejad
2021	A*	`conf`	Robust Optimization for Multilingual Translation with Imbalanced Data. NeurIPS Xian Li, Hongyu Gong
2021	A	`conf`	Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. AISTATS Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal
2021	J	`jnl`	Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. CoRR Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal
2020	A*	`conf`	Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation. ACL Arya D. McCarthy, Xian Li, Jiatao Gu, Ning Dong
2020	J	`jnl`	Cross-Modal Transfer Learning for Multilingual Speech-to-Text Translation. CoRR Chau Tran, Changhan Wang, Yuqing Tang, Yun Tang, Juan Miguel Pino, Xian Li
2020	A*	`conf`	Cross-lingual Retrieval for Iterative Self-Supervised Training. NeurIPS Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu
2020	J	`jnl`	Cross-lingual Retrieval for Iterative Self-Supervised Training. CoRR Chau Tran, Yuqing Tang, Xian Li, Jiatao Gu
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	—	`conf`	Findings of the Fourth Workshop on Neural Generation and Translation. NGT@ACL Kenneth Heafield, Hiroaki Hayashi, Yusuke Oda, Ioannis Konstas, Andrew M. Finch, Graham Neubig, Xian Li, Alexandra Birch
2020	—	`conf`	Findings of the WMT 2020 Shared Task on Machine Translation Robustness. WMT@EMNLP Lucia Specia, Zhenhao Li, Juan Miguel Pino, Vishrav Chaudhary, Francisco Guzmán, Graham Neubig, Nadir Durrani, Yonatan Belinkov, Philipp Koehn, Hassan Sajjad, Paul Michel, Xian Li
2020	J	`jnl`	Improving Zero-Shot Translation by Disentangling Positional Information. CoRR Danni Liu, Jan Niehues, James Cross, Francisco Guzmán, Xian Li
2020	J	`jnl`	Multilingual Denoising Pre-training for Neural Machine Translation. CoRR Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer
2020	J	`jnl`	Multilingual Denoising Pre-training for Neural Machine Translation. Trans. Assoc. Comput. Linguistics Yinhan Liu, Jiatao Gu, Naman Goyal, Xian Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer
2020	J	`jnl`	Multilingual Translation with Extensible Multilingual Pretraining and Finetuning. CoRR Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan
2020	—	`ed.`	Proceedings of the Fourth Workshop on Neural Generation and Translation, NGT@ACL 2020, Online, July 5-10, 2020 NGT@ACL Alexandra Birch, Andrew M. Finch, Hiroaki Hayashi, Kenneth Heafield, Marcin Junczys-Dowmunt, Ioannis Konstas, Xian Li, Graham Neubig, Yusuke Oda
2020	J	`jnl`	Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. CoRR Asa Cooper Stickland, Xian Li, Marjan Ghazvininejad
2019	A*	`conf`	Design and Evaluation of a Social Media Writing Support Tool for People with Dyslexia. CHI Shaomei Wu, Lindsay Reynolds, Xian Li, Francisco Guzmán
2019	—	`conf`	Findings of the First Shared Task on Machine Translation Robustness. WMT (2) Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad
2019	J	`jnl`	Findings of the First Shared Task on Machine Translation Robustness. CoRR Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad
2019	—	`conf`	FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. EMNLP/IJCNLP (1) Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy
2019	J	`jnl`	FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. CoRR Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy
2019	J	`jnl`	Improved Variational Neural Machine Translation by Promoting Mutual Information. CoRR Arya D. McCarthy, Xian Li, Jiatao Gu, Ning Dong
2019	—	`conf`	On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. NAACL-HLT (1) Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino
2019	J	`jnl`	On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. CoRR Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino
2018	B	`conf`	A Corpus for Multilingual Document Classification in Eight Languages. LREC Holger Schwenk, Xian Li
2018	J	`jnl`	A Corpus for Multilingual Document Classification in Eight Languages. CoRR Holger Schwenk, Xian Li
2013	—	`—`	Dynamics of investor attention on the social web. Xian Li
2012	—	`conf`	Financial and economic data management using Semantic Web technologies. CIFEr Xian Li
2011	—	`conf`	Fundamental analysis powered by Semantic Web. CIFEr Xian Li, Jie Bao, James A. Hendler
2011	J	`jnl`	TWC LOGD: A portal for linked open government data ecosystems. J. Web Semant. Li Ding, Timothy Lebo, John S. Erickson, Dominic DiFranzo, Gregory Todd Williams, Xian Li, James Michaelis, Alvaro Graves, Jinguang Zheng, Zhenning Shangguan, Johanna Flores, Deborah L. McGuinness, James A. Hendler
2010	—	`conf`	Data-gov Wiki: Towards Linking Government Data. AAAI Spring Symposium: Linked Data Meets Artificial Intelligence Li Ding, Dominic DiFranzo, Alvaro Graves, James Michaelis, Xian Li, Deborah L. McGuinness, Jim Hendler
2010	—	`conf`	Provenance-Based Strategies to Develop Trust in Semantic Web Applications. IPAW Xian Li, Timothy Lebo, Deborah L. McGuinness
2010	—	`conf`	Representing Financial Reports on the Semantic Web: - A Faithful Translation from XBRL to OWL. RuleML Jie Bao, Graham Rong, Xian Li, Li Ding
2010	A*	`conf`	TWC data-gov corpus: incrementally generating linked government data from data.gov. WWW Li Ding, Dominic DiFranzo, Alvaro Graves, James Michaelis, Xian Li, Deborah L. McGuinness, James A. Hendler