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20222024
most citedGTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation

25 citations · 58 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CL2024

FuzzCoder: Byte-level Fuzzing Test via Large Language Model

Liqun Yang, Jian Yang, Chaoren Wei +13

Fuzzing is an important dynamic program analysis technique designed for finding vulnerabilities in complex software. Fuzzing involves presenting a target program with crafted malic…

cs.CL20239 cited

HanoiT: Enhancing Context-aware Translation via Selective Context

Jian Yang, Yuwei Yin, Shuming Ma +7

Context-aware neural machine translation aims to use the document-level context to improve translation quality. However, not all words in the context are helpful. The irrelevant or…

cs.CL202211 cited

UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation

Jian Yang, Yuwei Yin, Shuming Ma +5

Most translation tasks among languages belong to the zero-resource translation problem where parallel corpora are unavailable. Multilingual neural machine translation (MNMT) enable…

cs.CL202213 cited

HLT-MT: High-resource Language-specific Training for Multilingual Neural Machine Translation

Jian Yang, Yuwei Yin, Shuming Ma +3

Multilingual neural machine translation (MNMT) trained in multiple language pairs has attracted considerable attention due to fewer model parameters and lower training costs by sha…

cs.CL202225 cited

GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation

Jian Yang, Yuwei Yin, Liqun Yang +5

Transformer structure, stacked by a sequence of encoder and decoder network layers, achieves significant development in neural machine translation. However, vanilla Transformer mai…

cs.CL2022

Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)

YI Liang, Shuai Zhao, Bo Cheng +2

Few-shot relation learning refers to infer facts for relations with a limited number of observed triples. Existing metric-learning methods for this problem mostly neglect entity in…