Richard Shin - RankMe

35 papers A* 6A 1Journal 16Unranked 11

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