Richard Shin

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Database Schema

Nearest Neighbor

Program Synthesis

Top Venues

ICLR (Workshop)

Publications

Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. ICLR (2024)
Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme
Learning to Retrieve Iteratively for In-Context Learning. CoRR (2024)
Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin
Privacy-Preserving Domain Adaptation of Semantic Parsers. ACL (1) (2023)
Nicholas Farn, Richard Shin
ToolTalk: Evaluating Tool-Usage in a Conversational Setting. CoRR (2023)
Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. CoRR (2023)
Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing. NeurIPS (2023)
Richard Shin, Benjamin Van Durme
Few-Shot Semantic Parsing with Language Models Trained on Code. NAACL-HLT (2022)
Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. CoRR (2022)
Subhro Roy, Sam Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme
BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing. CoRR (2022)
Anton Belyy, Chieh-yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles Chen, Benjamin Van Durme
Guided K-best Selection for Semantic Parsing Annotation. ACL (demo) (2022)
Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. ACL (Findings) (2022)
Fatemehsadat Mireshghallah, Richard Shin, Yu Su, Tatsunori Hashimoto, Jason Eisner
Privacy-Preserving Domain Adaptation of Semantic Parsers. CoRR (2022)
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
Constrained Language Models Yield Few-Shot Semantic Parsers. CoRR (2021)
Richard Shin, Benjamin Van Durme
Few-Shot Semantic Parsing with Language Models Trained On Code. CoRR (2021)
Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme
Constrained Language Models Yield Few-Shot Semantic Parsers. EMNLP (1) (2021)
Patrick Xia, Richard Shin
Pruning Pretrained Encoders with a Multitask Objective. CoRR (2021)
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. ACL (2020)
Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov
Program Synthesis and Semantic Parsing with Learned Code Idioms. CoRR (2019)
Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song
Synthetic Datasets for Neural Program Synthesis. ICLR (Poster) (2019)
Richard Shin
Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers. CoRR (2019)
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. CoRR (2019)
Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica
Hierarchical Variational Imitation Learning of Control Programs. CoRR (2019)
Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song
Synthetic Datasets for Neural Program Synthesis. CoRR (2019)
Richard Shin, Illia Polosukhin, Dawn Song
Towards Specification-Directed Program Repair. ICLR (Workshop) (2018)
Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica
Parametrized Hierarchical Procedures for Neural Programming. ICLR (Poster) (2018)
Richard Shin, Charles Packer, Dawn Song
Differentiable Neural Network Architecture Search. ICLR (Workshop) (2018)
Richard Shin, Illia Polosukhin, Dawn Song
Improving Neural Program Synthesis with Inferred Execution Traces. NeurIPS (2018)
Jonathon Cai, Richard Shin, Dawn Song
Making Neural Programming Architectures Generalize via Recursion. ICLR (2017)
Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Richard Shin, Dawn Song, Hongxia Jin, Xuan Bao
PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices. ICDCS (2017)
Jonathon Cai, Richard Shin, Dawn Song
Making Neural Programming Architectures Generalize via Recursion. CoRR (2017)
Frank Li, Richard Shin, Vern Paxson
Exploring Privacy Preservation in Outsourced K-Nearest Neighbors with Multiple Data Owners. CoRR (2015)
Frank Li, Richard Shin, Vern Paxson
Exploring Privacy Preservation in Outsourced K-Nearest Neighbors with Multiple Data Owners. CCSW (2015)