Xi Victoria Lin

74 papers A* 11B 1Journal 42Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. ACL (1) Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen
2025	J	`jnl`	DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. CoRR Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen
2025	—	`conf`	ImpRAG: Retrieval-Augmented Generation with Implicit Queries. EMNLP (Findings) Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen
2025	J	`jnl`	ImpRAG: Retrieval-Augmented Generation with Implicit Queries. CoRR Wenzheng Zhang, Xi Victoria Lin, Karl Stratos, Wen-tau Yih, Mingda Chen
2025	J	`jnl`	Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. Trans. Mach. Learn. Res. Weixin Liang, Lili Yu, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
2025	J	`jnl`	Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. CoRR Zhiyang Xu, Jiuhai Chen, Zhaojiang Lin, Xichen Pan, Lifu Huang, Tianyi Zhou, Madian Khabsa, Qifan Wang, Di Jin, Michihiro Yasunaga, Lili Yu, Xi Victoria Lin, Shaoliang Nie
2025	J	`jnl`	ReasonIR: Training Retrievers for Reasoning Tasks. CoRR Rulin Shao, Rui Qiao, Varsha Kishore, Niklas Muennighoff, Xi Victoria Lin, Daniela Rus, Bryan Kian Hsiang Low, Sewon Min, Wen-tau Yih, Pang Wei Koh, Luke Zettlemoyer
2025	A*	`conf`	SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. ICML Yung-Sung Chuang, Benjamin Cohen-Wang, Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-wen Li, Wen-tau Yih
2025	J	`jnl`	SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. CoRR Yung-Sung Chuang, Benjamin Cohen-Wang, Shannon Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-wen Li, Wen-tau Yih
2025	J	`jnl`	ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models. CoRR Long Lian, Sida Wang, Felix Juefei-Xu, Tsu-Jui Fu, Xiuyu Li, Adam Yala, Trevor Darrell, Alane Suhr, Yuandong Tian, Xi Victoria Lin
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	A*	`conf`	FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev
2024	A*	`conf`	In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
2024	—	`conf`	Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
2024	J	`jnl`	Instruction-tuned Language Models are Better Knowledge Learners. CoRR Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
2024	J	`jnl`	LMFusion: Adapting Pretrained Language Models for Multimodal Generation. CoRR Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin Liang, Xi Victoria Lin, Luke Zettlemoyer, Lili Yu
2024	J	`jnl`	Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. CoRR Weixin Liang, Lili Yu, Liang Luo, Srinivasan Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin
2024	J	`jnl`	MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts. CoRR Xi Victoria Lin, Akshat Shrivastava, Liang Luo, Srinivasan Iyer, Mike Lewis, Gargi Ghosh, Luke Zettlemoyer, Armen Aghajanyan
2024	J	`jnl`	Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. CoRR Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin
2024	A*	`conf`	RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2024	—	`—`	Towards Large Language Models for Everyone: Instruction Following, Knowledge Retrieval and Multilingualism Xi Victoria Lin
2023	J	`jnl`	In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
2023	A*	`conf`	LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023	J	`jnl`	LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023	J	`jnl`	RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
2023	—	`conf`	Reimagining Retrieval Augmented Language Models for Answering Queries. ACL (Findings) Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Wen-tau Yih
2023	J	`jnl`	Reimagining Retrieval Augmented Language Models for Answering Queries. CoRR Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Scott Yih
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
2023	—	`conf`	Training Trajectories of Language Models Across Scales. ACL (1) Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
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	J	`jnl`	FOLIO: Natural Language Reasoning with First-Order Logic. CoRR Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev
2022	J	`jnl`	FeTaQA: Free-form Table Question Answering. Trans. Assoc. Comput. Linguistics Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev
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`	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	—	`conf`	On Continual Model Refinement in Out-of-Distribution Data Streams. ACL (1) Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih
2022	J	`jnl`	On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih
2022	A*	`conf`	Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages. CHI Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang
2022	J	`jnl`	Training Trajectories of Language Models Across Scales. CoRR Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
2021	—	`conf`	DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani
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	J	`jnl`	FeTaQA: Free-form Table Question Answering. CoRR Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev
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	A*	`conf`	GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. ICLR Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong
2021	—	`conf`	Learning to Synthesize Data for Semantic Parsing. NAACL-HLT Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong
2021	J	`jnl`	Learning to Synthesize Data for Semantic Parsing. CoRR Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong
2021	J	`jnl`	NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands. CoRR Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White
2021	J	`jnl`	Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages. CoRR Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang
2021	—	`ed.`	Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, NAACL-HLT 2021, Online, June 6-11, 2021 NAACL-HLT (Demonstrations) Avi Sil, Xi Victoria Lin
2021	—	`conf`	Stage-wise Fine-tuning for Graph-to-Text Generation. ACL (student) Qingyun Wang, Semih Yavuz, Xi Victoria Lin, Heng Ji, Nazneen Fatema Rajani
2021	—	`conf`	Testing Cross-Database Semantic Parsers With Canonical Utterances. Eval4NLP Heather C. Lent, Semih Yavuz, Tao Yu, Tong Niu, Yingbo Zhou, Dragomir Radev, Xi Victoria Lin
2020	—	`conf`	Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. EMNLP (Findings) Xi Victoria Lin, Richard Socher, Caiming Xiong
2020	J	`jnl`	Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. CoRR Xi Victoria Lin, Richard Socher, Caiming Xiong
2020	J	`jnl`	ColloQL: Robust Cross-Domain Text-to-SQL Over Search Queries. CoRR Karthik Radhakrishnan, Arvind Srikantan, Xi Victoria Lin
2020	J	`jnl`	DART: Open-Domain Structured Data Record to Text Generation. CoRR Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Murori Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher
2020	A*	`conf`	Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. ACL Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong
2020	J	`jnl`	Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. CoRR Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong
2020	J	`jnl`	GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. CoRR Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong
2020	—	`conf`	NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands. NeurIPS (Competition and Demos) Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White
2020	—	`conf`	Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King
2020	J	`jnl`	Photon: A Robust Cross-Domain Text-to-SQL System. CoRR Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi
2019	—	`conf`	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev
2019	J	`jnl`	CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev
2019	—	`conf`	Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. EMNLP/IJCNLP (1) Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev
2019	J	`jnl`	Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. CoRR Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev
2019	—	`conf`	SParC: Cross-Domain Semantic Parsing in Context. ACL (1) Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev
2019	J	`jnl`	SParC: Cross-Domain Semantic Parsing in Context. CoRR Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev
2018	A*	`conf`	Multi-Hop Knowledge Graph Reasoning with Reward Shaping. EMNLP Xi Victoria Lin, Richard Socher, Caiming Xiong
2018	J	`jnl`	Multi-Hop Knowledge Graph Reasoning with Reward Shaping. CoRR Xi Victoria Lin, Richard Socher, Caiming Xiong
2018	B	`conf`	NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. LREC Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst
2018	J	`jnl`	NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. CoRR Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst
2016	—	`conf`	Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. ACL (1) Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk