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ORCIDRichard Shin
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2020 – today
- 2024
[c26]Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme:
Learning to Retrieve Iteratively for In-Context Learning. EMNLP 2024: 7156-7168- [c25]Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas:
Language-to-Code Translation with a Single Labeled Example. EMNLP 2024: 8101-8112 - [c24]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 - [i19]Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme:
Learning to Retrieve Iteratively for In-Context Learning. CoRR abs/2406.14739 (2024) - 2023
- [c23]Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin:
Privacy-Preserving Domain Adaptation of Semantic Parsers. ACL (1) 2023: 4950-4970 - [c22]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 - [i18]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 abs/2309.11765 (2023) - [i17]Nicholas Farn, Richard Shin:
ToolTalk: Evaluating Tool-Usage in a Conversational Setting. CoRR abs/2311.10775 (2023) - 2022
- [c21]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: 114-126 - [c20]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: 3685-3695 - [c19]Richard Shin, Benjamin Van Durme:
Few-Shot Semantic Parsing with Language Models Trained on Code. NAACL-HLT 2022: 5417-5425 - [i16]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 abs/2205.08675 (2022) - [i15]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 abs/2206.10668 (2022) - [i14]Fatemehsadat Mireshghallah, Richard Shin, Yu Su, Tatsunori Hashimoto, Jason Eisner:
Privacy-Preserving Domain Adaptation of Semantic Parsers. CoRR abs/2212.10520 (2022) - 2021
- [c18]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: 7699-7715 - [i13]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 abs/2104.08768 (2021) - [i12]Patrick Xia, Richard Shin:
Pruning Pretrained Encoders with a Multitask Objective. CoRR abs/2112.05705 (2021) - [i11]Richard Shin, Benjamin Van Durme:
Few-Shot Semantic Parsing with Language Models Trained On Code. CoRR abs/2112.08696 (2021) - 2020
- [b1]Richard Shin:
Abstraction, Generalization, and Embodiment in Neural Program Synthesis. University of California, Berkeley, USA, 2020 - [c17]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: 7567-7578
2010 – 2019
- 2019
- [c16]Richard Shin, Neel Kant, Kavi Gupta, Chris Bender, Brandon Trabucco, Rishabh Singh, Dawn Song:
Synthetic Datasets for Neural Program Synthesis. ICLR (Poster) 2019 - [c15]Eui Chul Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Alex Polozov:
Program Synthesis and Semantic Parsing with Learned Code Idioms. NeurIPS 2019: 10824-10834 - [i10]Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov:
Program Synthesis and Semantic Parsing with Learned Code Idioms. CoRR abs/1906.10816 (2019) - [i9]Richard Shin:
Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers. CoRR abs/1906.11790 (2019) - [i8]Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson:
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. CoRR abs/1911.04942 (2019) - [i7]Richard Shin, Neel Kant, Kavi Gupta, Christopher Bender, Brandon Trabucco, Rishabh Singh, Dawn Song:
Synthetic Datasets for Neural Program Synthesis. CoRR abs/1912.12345 (2019) - [i6]Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica:
Hierarchical Variational Imitation Learning of Control Programs. CoRR abs/1912.12612 (2019) - 2018
- [c14]Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica:
Parametrized Hierarchical Procedures for Neural Programming. ICLR (Poster) 2018 - [c13]Richard Shin, Charles Packer, Dawn Song:
Differentiable Neural Network Architecture Search. ICLR (Workshop) 2018 - [c12]Richard Shin, Illia Polosukhin, Dawn Song:
Towards Specification-Directed Program Repair. ICLR (Workshop) 2018 - [c11]Richard Shin, Illia Polosukhin, Dawn Song:
Improving Neural Program Synthesis with Inferred Execution Traces. NeurIPS 2018: 8931-8940 - 2017
- [c10]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: 2212-2219 - [c9]Jonathon Cai, Richard Shin, Dawn Song:
Making Neural Programming Architectures Generalize via Recursion. ICLR 2017 - [i5]Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Eui Chul Richard Shin, Dawn Xiaodong Song, Hongxia Jin, Xuan Bao:
PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices. CoRR abs/1704.03118 (2017) - [i4]Jonathon Cai, Richard Shin, Dawn Song:
Making Neural Programming Architectures Generalize via Recursion. CoRR abs/1704.06611 (2017) - 2016
- [c8]Gilad Katz, Eui Chul Richard Shin, Dawn Song:
ExploreKit: Automatic Feature Generation and Selection. ICDM 2016: 979-984 - [c7]Chang Liu, Xinyun Chen, Eui Chul Richard Shin, Mingcheng Chen, Dawn Xiaodong Song:
Latent Attention For If-Then Program Synthesis. NIPS 2016: 4574-4582 - [i3]Xinyun Chen, Chang Liu, Eui Chul Richard Shin, Dawn Song, Mingcheng Chen:
Latent Attention For If-Then Program Synthesis. CoRR abs/1611.01867 (2016) - 2015
- [c6]Frank Li, Richard Shin, Vern Paxson:
Exploring Privacy Preservation in Outsourced K-Nearest Neighbors with Multiple Data Owners. CCSW 2015: 53-64 - [c5]Eui Chul Richard Shin, Dawn Song, Reza Moazzezi:
Recognizing Functions in Binaries with Neural Networks. USENIX Security Symposium 2015: 611-626 - [i2]Frank Li, Richard Shin, Vern Paxson:
Exploring Privacy Preservation in Outsourced K-Nearest Neighbors with Multiple Data Owners. CoRR abs/1507.08309 (2015) - 2014
- [j1]Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey
, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song:
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network. ACM Trans. Intell. Syst. Technol. 5(2): 27:1-27:20 (2014) - 2012
- [c4]Daniel Reynaud, Dawn Xiaodong Song, Thomas R. Magrino, Edward XueJun Wu, Eui Chul Richard Shin:
FreeMarket: Shopping for free in Android applications. NDSS 2012 - [c3]Arvind Narayanan, Hristo S. Paskov, Neil Zhenqiang Gong, John Bethencourt, Emil Stefanov, Eui Chul Richard Shin, Dawn Song:
On the Feasibility of Internet-Scale Author Identification. IEEE Symposium on Security and Privacy 2012: 300-314 - 2011
- [c2]Joel Weinberger, Prateek Saxena, Devdatta Akhawe, Matthew Finifter, Eui Chul Richard Shin, Dawn Song:
A Systematic Analysis of XSS Sanitization in Web Application Frameworks. ESORICS 2011: 150-171 - [i1]Neil Zhenqiang Gong, Ameet Talwalkar, Lester W. Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song:
Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN). CoRR abs/1112.3265 (2011) - 2010
- [c1]Chia Yuan Cho, Domagoj Babic, Eui Chul Richard Shin, Dawn Song:
Inference and analysis of formal models of botnet command and control protocols. CCS 2010: 426-439
Coauthor Index
aka: Dawn Xiaodong Song
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