activity
20192023
most citedPythia: AI-assisted Code Completion System

119 citations · 125 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 4 cited

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment

Yingxiu Zhao, Bowen Yu, Binyuan Hui +4

Training large language models (LLMs) with open-domain instruction data has yielded remarkable success in aligning to end tasks and human preferences. Extensive research has highli…

cs.CL2023

Causal Document-Grounded Dialogue Pre-training

Yingxiu Zhao, Bowen Yu, Haiyang Yu +6

The goal of document-grounded dialogue (DocGD) is to generate a response by grounding the evidence in a supporting document in accordance with the dialogue context. This process in…

cs.CL2022★ 1 cited

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue

Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian +6

Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD) systems. To address the catastrophic forgetting issue of LL, generative replay methods are widely employed…

cs.CL2022★ 1 cited

Semi-Supervised Lifelong Language Learning

Yingxiu Zhao, Yinhe Zheng, Bowen Yu +6

Lifelong learning aims to accumulate knowledge and alleviate catastrophic forgetting when learning tasks sequentially. However, existing lifelong language learning methods only foc…

cs.CL2022

Hard Gate Knowledge Distillation -- Leverage Calibration for Robust and Reliable Language Model

Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao +2

In knowledge distillation, a student model is trained with supervisions from both knowledge from a teacher and observations drawn from a training data distribution. Knowledge of a…

cs.CL2022

Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation

Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao +5

Building models of natural language processing (NLP) is challenging in low-resource scenarios where only limited data are available. Optimization-based meta-learning algorithms ach…

cs.SE2019★ 119 cited

Pythia: AI-assisted Code Completion System

Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu +1

In this paper, we propose a novel end-to-end approach for AI-assisted code completion called Pythia. It generates ranked lists of method and API recommendations which can be used b…