47 citations · 54 across the 7 of their papers we have counts for
7 papers
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang +3
Retrieval-Augmented Generation (RAG) has become essential for large-scale code generation, grounding predictions in external code corpora to improve actuality. However, a critical…
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
Jiayi Wei, Greg Durrett, Isil Dillig
Developers often dedicate significant time to maintaining and refactoring existing code. However, most prior work on generative models for code focuses solely on creating new code,…
TypeT5: Seq2seq Type Inference using Static Analysis
Jiayi Wei, Greg Durrett, Isil Dillig
There has been growing interest in automatically predicting missing type annotations in programs written in Python and JavaScript. While prior methods have achieved impressive accu…
Programmatic Imitation Learning from Unlabeled and Noisy Demonstrations
Jimmy Xin, Linus Zheng, Kia Rahmani +4
Imitation Learning (IL) is a promising paradigm for teaching robots to perform novel tasks using demonstrations. Most existing approaches for IL utilize neural networks (NN), howev…
STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations
Jiayi Wei, Jarrett Holtz, Isil Dillig +1
Accurate kinodynamic models play a crucial role in many robotics applications such as off-road navigation and high-speed driving. Many state-of-the-art approaches in learning stoch…
OneVision: Centralized to Distributed Controller Synthesis with Delay Compensation
Jiayi Wei, Tongrui Li, Swarat Chaudhuri +2
We propose a new algorithm to simplify the controller development for distributed robotic systems subject to external observations, disturbances, and communication delays. Unlike p…
LambdaNet: Probabilistic Type Inference using Graph Neural Networks
Jiayi Wei, Maruth Goyal, Greg Durrett +1
As gradual typing becomes increasingly popular in languages like Python and TypeScript, there is a growing need to infer type annotations automatically. While type annotations help…