Xi Victoria Lin

发表

SParC: Cross-Domain Semantic Parsing in Context

Tao Yu, Dragomir R. Radev, Tao Chen, 2019, ACL.

NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System pdf

Michael D. Ernst, Luke S. Zettlemoyer, Chenglong Wang, 2018, LREC.

DART: Open-Domain Structured Data Record to Text Generation pdf

Tao Yu, Rui Zhang, Dragomir R. Radev, 2020, NAACL.

ColloQL: Robust Text-to-SQL Over Search Queries

Arvind Srikantan, Xi Victoria Lin, Karthik Radhakrishnan, 2020, Proceedings of the First Workshop on Interactive and Executable Semantic Parsing.

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation pdf

Vicente Ordonez, Tianlu Wang, Nazneen Fatema Rajani, 2020, ACL.

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions pdf

Tao Yu, Dragomir R. Radev, Richard Socher, 2019, EMNLP.

Multi-Hop Knowledge Graph Reasoning with Reward Shaping pdf

Richard Socher, Caiming Xiong, Xi Victoria Lin, 2018, EMNLP.

Photon: A Robust Cross-Domain Text-to-SQL System pdf

Steven C. H. Hoi, Michael R. Lyu, Richard Socher, 2020, ACL.

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

Luyao Chen, Tao Yu, Dragomir R. Radev, 2019, EMNLP.

ColloQL: Robust Text-to-SQL Over Search Queries pdf

Arvind Srikantan, Xi Victoria Lin, Karthik Radhakrishnan, 2020, INTEXSEMPAR.

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing pdf

Tao Yu, Richard Socher, Bailin Wang, 2020, ArXiv.

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing pdf

Yi Chern Tan, Xi Victoria Lin, Tao Yu, 2021, ICLR 2021 Poster.

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing pdf

Tao Yu, Richard Socher, Bailin Wang, 2021, ICLR.

DART: Open-Domain Structured Data Record to Text Generation

Tao Yu, Xiangru Tang, Richard Socher, 2020, NAACL.

Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages pdf

Xi Victoria Lin, Jiao Sun, Diyi Yang, 2021, CHI.

Few-shot Learning with Multilingual Language Models pdf

Zornitsa Kozareva, Vishrav Chaudhary, Myle Ott, 2021, ArXiv.

Efficient Large Scale Language Modeling with Mixtures of Experts pdf

Zornitsa Kozareva, Myle Ott, Todor Mihaylov, 2021, ArXiv.

Multi-Label Learning with Posterior Regularization

Xi Victoria Lin, Luke Zettlemoyer, B. Taskar, 2014 .

Program Synthesis from Natural Language Using Recurrent Neural Networks

Xi Victoria Lin, 2017 .

Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text

Hoifung Poon, Kristina Toutanova, Chris Quirk, 2016, ACL.

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands

Xi Victoria Lin, Kartik Talamadupula, T. Chakraborti, 2021, NeurIPS.

OPT: Open Pre-trained Transformer Language Models

Xi Victoria Lin, Punit Singh Koura, Myle Ott, 2022, ArXiv.

On Continual Model Refinement in Out-of-Distribution Data Streams

Sida I. Wang, Bill Yuchen Lin, Xi Victoria Lin, 2022, ACL.

OPT: Open Pre-trained Transformer Language Models

Xi Victoria Lin, Punit Singh Koura, Myle Ott, 2022, ArXiv.

Few-shot Learning with Multilingual Language Models

Xi Victoria Lin, Punit Singh Koura, Myle Ott, 2021, ArXiv.

FOLIO: Natural Language Reasoning with First-Order Logic

Shafiq R. Joty, Dragomir R. Radev, Xi Victoria Lin, 2022, ArXiv.

Efficient Large Scale Language Modeling with Mixtures of Experts

Xi Victoria Lin, Punit Singh Koura, Myle Ott, 2021, EMNLP.

Few-shot Learning with Multilingual Generative Language Models

Xi Victoria Lin, Punit Singh Koura, Myle Ott, 2021, EMNLP.

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation

Xi Victoria Lin, Dongyan Zhao, Rui Yan, 2022, ACL.

Training Trajectories of Language Models Across Scales

Xi Victoria Lin, Danqi Chen, Luke Zettlemoyer, 2022, ArXiv.

Lifting the Curse of Multilinguality by Pre-training Modular Transformers

Xi Victoria Lin, Xi Victoria Lin, Naman Goyal, 2022, NAACL.

Testing Cross-Database Semantic Parsers Using Canonical Utterances

Dragomir R. Radev, Xi Victoria Lin, Tao Yu, 2021 .

FeTaQA: Free-form Table Question Answering

Dragomir R. Radev, Wojciech Kry'sci'nski, Dragomir Radev, 2021, TACL.

Few-shot Learning with Multilingual Generative Language Models

Xi Victoria Lin, Punit Singh Koura, Myle Ott, 2022, EMNLP.

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing

Dragomir R. Radev, Xi Victoria Lin, R. Socher, 2020, ICLR.

Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing pdf

Richard Socher, Caiming Xiong, Xi Victoria Lin, 2020, FINDINGS.

LEVER: Learning to Verify Language-to-Code Generation with Execution

Dragomir R. Radev, Sida I. Wang, Xi Victoria Lin, 2023, ArXiv.

Learning to Synthesize Data for Semantic Parsing pdf

Wenpeng Yin, Xi Victoria Lin, Caiming Xiong, 2021, NAACL.

Training Trajectories of Language Models Across Scales

Xi Victoria Lin, Danqi Chen, Luke Zettlemoyer, 2022, ACL.

A Logic Aware Neural Generation Method for Explainable Data-to-text

Xi Victoria Lin, Fuzhen Zhuang, Linlin Chao, 2022, Knowledge Discovery and Data Mining.

Reimagining Retrieval Augmented Language Models for Answering Queries

Xi Victoria Lin, W. Tan, A. Halevy, 2023, ACL.

SParC: Cross-Domain Semantic Parsing in Context

Dragomir R. Radev, Xi Victoria Lin, R. Socher, 2019, ACL.

Efficient Large Scale Language Modeling with Mixtures of Experts

Xi Victoria Lin, Punit Singh Koura, Myle Ott, 2022, EMNLP.

LEVER: Learning to Verify Language-to-Code Generation with Execution

Dragomir R. Radev, Sida I. Wang, Xi Victoria Lin, 2023, ICML.

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation

Xi Victoria Lin, Vicente Ordonez, Nazneen Rajani, 2020, ACL.

LEVER: Learning to Verify Language-to-Code Generation with Execution

Dragomir R. Radev, Sida I. Wang, Xi Victoria Lin, 2023, ICML.

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Xi Victoria Lin, Punit Singh Koura, Veselin Stoyanov, 2022, ArXiv.

Multi-Label Learning with Posterior Regularization

Xi Victoria Lin, Luke Zettlemoyer, B. Taskar, 2014 .

Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model

Xi Victoria Lin, Ves Stoyanov, Xian Li, 2023, Conference on Empirical Methods in Natural Language Processing.