Data-gov Wiki: Towards Linking Government Data. - Li Ding 001; Dominic DiFranzo; Alvaro Graves; James Michaelis; Xian Li 003; Deborah L. McGuinness; Jim Hendler (AAAI Spring Symposium: Linked Data Meets Artificial Intelligence, 2010)

Provenance-Based Strategies to Develop Trust in Semantic Web Applications. - Xian Li 003; Timothy Lebo; Deborah L. McGuinness (IPAW, 2010)

Representing Financial Reports on the Semantic Web: - A Faithful Translation from XBRL to OWL. - Jie Bao 001; Graham Rong; Xian Li 003; Li Ding 001 (RuleML, 2010)

TWC data-gov corpus: incrementally generating linked government data from data.gov. - Li Ding 001; Dominic DiFranzo; Alvaro Graves; James Michaelis; Xian Li 003; Deborah L. McGuinness; James A. Hendler (WWW, 2010)

Fundamental analysis powered by Semantic Web. - Xian Li 003; Jie Bao 001; James A. Hendler (CIFEr, 2011)

TWC LOGD: A portal for linked open government data ecosystems. - Li Ding 001; Timothy Lebo; John S. Erickson; Dominic DiFranzo; Gregory Todd Williams; Xian Li 003; James Michaelis; Alvaro Graves; Jinguang Zheng; Zhenning Shangguan; Johanna Flores; Deborah L. McGuinness; et al. (J. Web Semant., 2011)

Financial and economic data management using Semantic Web technologies. - Xian Li 003 (CIFEr, 2012)

Dynamics of investor attention on the social web. - Xian Li 003 (2013)

A Corpus for Multilingual Document Classification in Eight Languages. - Holger Schwenk; Xian Li 003 (LREC, 2018)

Design and Evaluation of a Social Media Writing Support Tool for People with Dyslexia. - Shaomei Wu; Lindsay Reynolds; Xian Li 003; Francisco Guzmán (CHI, 2019)

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. - Xuezhe Ma; Chunting Zhou; Xian Li 003; Graham Neubig; Eduard H. Hovy (EMNLP/IJCNLP (1), 2019)

On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. - Paul Michel; Xian Li 003; Graham Neubig; Juan Miguel Pino (NAACL-HLT (1), 2019)

Findings of the First Shared Task on Machine Translation Robustness. - Xian Li 003; Paul Michel; Antonios Anastasopoulos; Yonatan Belinkov; Nadir Durrani; Orhan Firat; Philipp Koehn; Graham Neubig; Juan Miguel Pino; Hassan Sajjad 001 (WMT (2), 2019)

Improved Variational Neural Machine Translation by Promoting Mutual Information. - Arya D. McCarthy; Xian Li 003; Jiatao Gu; Ning Dong (CoRR, 2019)

Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation. - Arya D. McCarthy; Xian Li 003; Jiatao Gu; Ning Dong (ACL, 2020)

Findings of the Fourth Workshop on Neural Generation and Translation. - Kenneth Heafield; Hiroaki Hayashi; Yusuke Oda; Ioannis Konstas; Andrew M. Finch; Graham Neubig; Xian Li 003; Alexandra Birch (NGT@ACL, 2020)

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

Cross-lingual Retrieval for Iterative Self-Supervised Training. - Chau Tran; Yuqing Tang; Xian Li 003; Jiatao Gu (NeurIPS, 2020)

Findings of the WMT 2020 Shared Task on Machine Translation Robustness. - Lucia Specia; Zhenhao Li 003; Juan Miguel Pino; Vishrav Chaudhary; Francisco Guzmán; Graham Neubig; Nadir Durrani; Yonatan Belinkov; Philipp Koehn; Hassan Sajjad 001; Paul Michel; Xian Li 003 (WMT@EMNLP, 2020)

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning. - Yuqing Tang; Chau Tran; Xian Li 003; Peng-Jen Chen; Naman Goyal 001; Vishrav Chaudhary; Jiatao Gu; Angela Fan (CoRR, 2020)

Cross-Modal Transfer Learning for Multilingual Speech-to-Text Translation. - Chau Tran; Changhan Wang; Yuqing Tang; Yun Tang 002; Juan Miguel Pino; Xian Li 003 (CoRR, 2020)

Multilingual Denoising Pre-training for Neural Machine Translation. - Yinhan Liu; Jiatao Gu; Naman Goyal 001; Xian Li 003; Sergey Edunov; Marjan Ghazvininejad; Mike Lewis; Luke Zettlemoyer (Trans. Assoc. Comput. Linguistics, 2020)

Multilingual Speech Translation from Efficient Finetuning of Pretrained Models. - Xian Li 003; Changhan Wang; Yun Tang 002; Chau Tran; Yuqing Tang; Juan Miguel Pino; Alexei Baevski; Alexis Conneau; Michael Auli (ACL/IJCNLP (1), 2021)

Improving Zero-Shot Translation by Disentangling Positional Information. - Danni Liu; Jan Niehues; James Cross 003; Francisco Guzmán; Xian Li 003 (ACL/IJCNLP (1), 2021)

Gender bias amplification during Speed-Quality optimization in Neural Machine Translation. - Adithya Renduchintala; Denise Díaz; Kenneth Heafield; Xian Li 003; Mona T. Diab (ACL/IJCNLP (2), 2021)

Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task. - Yun Tang 002; Juan Miguel Pino; Xian Li 003; Changhan Wang; Dmitriy Genzel (ACL/IJCNLP (1), 2021)

Multilingual Translation from Denoising Pre-Training. - Yuqing Tang; Chau Tran; Xian Li 003; Peng-Jen Chen; Naman Goyal 001; Vishrav Chaudhary; Jiatao Gu; Angela Fan (ACL/IJCNLP (Findings), 2021)

Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. - Yilun Zhou; Adithya Renduchintala; Xian Li 003; Sida Wang 001; Yashar Mehdad; Asish Ghoshal (AISTATS, 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)

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. - Asa Cooper Stickland; Xian Li 003; Marjan Ghazvininejad (EACL, 2021)

Distributionally Robust Multilingual Machine Translation. - Chunting Zhou; Daniel Levy; Xian Li 003; Marjan Ghazvininejad; Graham Neubig (EMNLP (1), 2021)

FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task. - Yun Tang 002; Hongyu Gong; Xian Li 003; Changhan Wang; Juan Miguel Pino; Holger Schwenk; Naman Goyal 001 (IWSLT, 2021)

Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling. - Hongyu Gong; Yun Tang 002; Juan Miguel Pino; Xian Li 003 (NeurIPS, 2021)

Robust Optimization for Multilingual Translation with Imbalanced Data. - Xian Li 003; Hongyu Gong (NeurIPS, 2021)

Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. - Yilun Zhou; Adi Renduchintala; Xian Li 003; Sida Wang 001; Yashar Mehdad; Asish Ghoshal (CoRR, 2021)

Adaptive Sparse Transformer for Multilingual Translation. - Hongyu Gong; Xian Li 003; Dmitriy Genzel (CoRR, 2021)

Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs. - Peter Hase; Mona T. Diab; Asli Celikyilmaz; Xian Li 003; Zornitsa Kozareva; Veselin Stoyanov; Mohit Bansal; Srinivasan Iyer 001 (CoRR, 2021)

Few-shot Learning with Multilingual Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (CoRR, 2021)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giri Anantharaman; Xian Li 003; et al. (CoRR, 2021)

Unified Speech-Text Pre-training for Speech Translation and Recognition. - Yun Tang 002; Hongyu Gong; Ning Dong; Changhan Wang; Wei-Ning Hsu; Jiatao Gu; Alexei Baevski; Xian Li 003; Abdelrahman Mohamed; Michael Auli; Juan Miguel Pino (ACL (1), 2022)

ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection. - Badr AlKhamissi; Faisal Ladhak; Srini Iyer 001; Veselin Stoyanov; Zornitsa Kozareva; Xian Li 003; Pascale Fung; Lambert Mathias; Asli Celikyilmaz; Mona T. Diab (EMNLP, 2022)

Efficient Large Scale Language Modeling with Mixtures of Experts. - Mikel Artetxe; Shruti Bhosale; Naman Goyal 001; Todor Mihaylov; Myle Ott; Sam Shleifer; Xi Victoria Lin; Jingfei Du; Srinivasan Iyer 001; Ramakanth Pasunuru; Giridharan Anantharaman; Xian Li 003; et al. (EMNLP, 2022)

Few-shot Learning with Multilingual Generative Language Models. - Xi Victoria Lin; Todor Mihaylov; Mikel Artetxe; Tianlu Wang; Shuohui Chen; Daniel Simig; Myle Ott; Naman Goyal 001; Shruti Bhosale; Jingfei Du; Ramakanth Pasunuru; Sam Shleifer; et al. (EMNLP, 2022)

Lifting the Curse of Multilinguality by Pre-training Modular Transformers. - Jonas Pfeiffer; Naman Goyal 001; Xi Victoria Lin; Xian Li 003; James Cross 003; Sebastian Riedel 001; Mikel Artetxe (NAACL-HLT, 2022)

Efficient Language Modeling with Sparse all-MLP. - Ping Yu; Mikel Artetxe; Myle Ott; Sam Shleifer; Hongyu Gong; Ves Stoyanov; Xian Li 003 (CoRR, 2022)

OPT: Open Pre-trained Transformer Language Models. - Susan Zhang; Stephen Roller; Naman Goyal 001; Mikel Artetxe; Moya Chen; Shuohui Chen; Christopher Dewan; Mona T. Diab; Xian Li 003; Xi Victoria Lin; Todor Mihaylov; Myle Ott; et al. (CoRR, 2022)

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. - Srinivasan Iyer 001; Xi Victoria Lin; Ramakanth Pasunuru; Todor Mihaylov; Daniel Simig; Ping Yu; Kurt Shuster 001; Tianlu Wang; Qing Liu; Punit Singh Koura; Xian Li 003; Brian O'Horo; et al. (CoRR, 2022)

Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. - Peter Hase; Mona T. Diab; Asli Celikyilmaz; Xian Li 003; Zornitsa Kozareva; Veselin Stoyanov; Mohit Bansal; Srinivasan Iyer 001 (EACL, 2023)

Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model. - Zeyu Liu; Tim Dettmers; Xi Lin; Veselin Stoyanov; Xian Li 003 (EMNLP, 2023)

Large Language Model Programs. - Imanol Schlag; Sainbayar Sukhbaatar; Asli Celikyilmaz; Wen-tau Yih; Jason Weston; Jürgen Schmidhuber; Xian Li 003 (CoRR, 2023)

Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model. - Leo Z. Liu; Tim Dettmers; Xi Victoria Lin; Veselin Stoyanov; Xian Li 003 (CoRR, 2023)

Chain-of-Verification Reduces Hallucination in Large Language Models. - Shehzaad Dhuliawala; Mojtaba Komeili; Jing Xu; Roberta Raileanu; Xian Li 003; Asli Celikyilmaz; Jason Weston (ACL (Findings), 2024)

Better Alignment with Instruction Back-and-Forth Translation. - Thao Nguyen; Jeffrey Li; Sewoong Oh; Ludwig Schmidt; Jason Weston; Luke Zettlemoyer; Xian Li 003 (EMNLP (Findings), 2024)

Self-Alignment with Instruction Backtranslation. - Xian Li 003; Ping Yu; Chunting Zhou; Timo Schick; Omer Levy; Luke Zettlemoyer; Jason Weston; Mike Lewis (ICLR, 2024)

Self-Rewarding Language Models. - Weizhe Yuan; Richard Yuanzhe Pang; Kyunghyun Cho; Xian Li 003; Sainbayar Sukhbaatar; Jing Xu; Jason Weston (ICML, 2024)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. - Swarnadeep Saha; Omer Levy; Asli Celikyilmaz; Mohit Bansal; Jason Weston; Xian Li 003 (NAACL-HLT, 2024)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. - Sainbayar Sukhbaatar; Olga Golovneva; Vasu Sharma; Hu Xu 001; Xi Victoria Lin; Baptiste Rozière; Jacob Kahn; Daniel Li 006; Wen-tau Yih; Jason Weston; Xian Li 003 (CoRR, 2024)

Self-Taught Evaluators. - Tianlu Wang; Ilia Kulikov; Olga Golovneva; Ping Yu; Weizhe Yuan; Jane Dwivedi-Yu; Richard Yuanzhe Pang; Maryam Fazel-Zarandi; Jason Weston; Xian Li 003 (CoRR, 2024)

To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning. - Da JU; Song Jiang; Andrew Cohen; Aaron Foss; Sasha Mitts; Arman Zharmagambetov; Brandon Amos; Xian Li 003; Justine T. Kao; Maryam Fazel-Zarandi; Yuandong Tian (CoRR, 2024)

Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning. - Song Jiang; Da JU; Andrew Cohen; Sasha Mitts; Aaron Foss; Justine T. Kao; Xian Li 003; Yuandong Tian (CoRR, 2024)

Training Large Language Models to Reason in a Continuous Latent Space. - Shibo Hao; Sainbayar Sukhbaatar; DiJia Su; Xian Li 003; Zhiting Hu; Jason Weston; Yuandong Tian (CoRR, 2024)

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. - Swarnadeep Saha; Xian Li 003; Marjan Ghazvininejad; Jason Weston; Tianlu Wang (CoRR, 2025)

LLM Pretraining with Continuous Concepts. - Jihoon Tack; Jack Lanchantin; Jane Yu; Andrew Cohen; Ilia Kulikov; Janice Lan; Shibo Hao; Yuandong Tian; Jason Weston; Xian Li 003 (CoRR, 2025)

NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions. - Weizhe Yuan; Jane Yu; Song Jiang; Karthik Padthe; Yang Li; Dong Wang; Ilia Kulikov; Kyunghyun Cho; Yuandong Tian; Jason E. Weston; Xian Li 003 (CoRR, 2025)

SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks. - Yifei Zhou; Song Jiang; Yuandong Tian; Jason Weston; Sergey Levine; Sainbayar Sukhbaatar; Xian Li 003 (CoRR, 2025)

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning. - Chenxi Whitehouse; Tianlu Wang; Ping Yu; Xian Li 003; Jason Weston; Ilia Kulikov; Swarnadeep Saha (CoRR, 2025)

Self-Challenging Language Model Agents. - Yifei Zhou; Sergey Levine; Jason Weston; Xian Li 003; Sainbayar Sukhbaatar (CoRR, 2025)

Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models. - Thao Nguyen; Yang Li; Olga Golovneva; Luke Zettlemoyer; Sewoong Oh; Ludwig Schmidt; Xian Li 003 (CoRR, 2025)

Bridging Offline and Online Reinforcement Learning for LLMs. - Jack Lanchantin; Angelica Chen; Janice Lan; Xian Li 003; Swarnadeep Saha; Tianlu Wang; Jing Xu; Ping Yu; Weizhe Yuan; Jason E. Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks. - Yang Li; Youssef Emad; Karthik Padthe; Jack Lanchantin; Weizhe Yuan; Thao Nguyen; Jason Weston; Shang-Wen Li 001; Dong Wang; Ilia Kulikov; Xian Li 003 (CoRR, 2025)