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20182025
most citedJoint Language Semantic and Structure Embedding for Knowledge Graph Completion

22 citations · 51 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CL2025

Structure-Aware Fill-in-the-Middle Pretraining for Code

Linyuan Gong, Alvin Cheung, Mostafa Elhoushi +1

Fill-in-the-Middle (FIM) is a common pretraining method for code LLMs, where models complete code segments given surrounding context. However, existing LLMs treat code as plain tex…

cs.CL2024

Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks

Linyuan Gong, Sida Wang, Mostafa Elhoushi +1

We introduce Syntax-Aware Fill-In-the-Middle (SAFIM), a new benchmark for evaluating Large Language Models (LLMs) on the code Fill-in-the-Middle (FIM) task. This benchmark focuses…

cs.CL2023★ 1 cited

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers

Linyuan Gong, Chenyan Xiong, Xiaodong Liu +5

This paper explores the effectiveness of model-generated signals in improving zero-shot generalization of text-to-text Transformers such as T5. We study various designs to pretrain…

cs.CL2023

ADELT: Transpilation Between Deep Learning Frameworks

Linyuan Gong, Jiayi Wang, Alvin Cheung

We propose the Adversarial DEep Learning Transpiler (ADELT), a novel approach to source-to-source transpilation between deep learning frameworks. ADELT uniquely decouples code skel…

cs.CL2022★ 22 cited

Joint Language Semantic and Structure Embedding for Knowledge Graph Completion

Jianhao Shen, Chenguang Wang, Linyuan Gong +1

The task of completing knowledge triplets has broad downstream applications. Both structural and semantic information plays an important role in knowledge graph completion. Unlike…

cs.CL2020★ 11 cited

MC-BERT: Efficient Language Pre-Training via a Meta Controller

Zhenhui Xu, Linyuan Gong, Guolin Ke +5

Pre-trained contextual representations (e.g., BERT) have become the foundation to achieve state-of-the-art results on many NLP tasks. However, large-scale pre-training is computati…

cs.CL2019

Microsoft Research Asia's Systems for WMT19

Yingce Xia, Xu Tan, Fei Tian +11

We Microsoft Research Asia made submissions to 11 language directions in the WMT19 news translation tasks. We won the first place for 8 of the 11 directions and the second place fo…