朱靖波

2025

端到端语音翻译中辅助数据的使用策略研究

《中文信息学报》

2025

面向多语言机器翻译的人类偏好对齐方法研究

《语言与智能》

DOI

2025

Structure design of transparent ceramic armor based on machine learning and particle swarm optimization method

International Journal of Applied Ceramic Technology

DOI

2025

Design and Evaluation of the Mechanical Performance of Hollow BCC Truss AlSi10Mg Lattice Structures

Metals

DOI

2025

High-sensitivity piezoresistive sensors based on functionalized carbon nanotube/TPU composite for human motion detection

Polymer

DOI

2025

Effect of mixing water on early-stage properties and hydration mechanisms of alkali-activated materials containing slag and desulfurization gypsum

Archives of Civil and Mechanical Engineering

DOI

2024

预训练神经机器翻译研究进展分析

《中文信息学报》

2024

面向标记语言的机器翻译方法研究

《中文信息学报》

2024

Bi-LSTM和CRF结合的藏文分词方法研究

《中央民族大学学报(自然科学版)》

2024

Janus Structured Solar Evaporator with Intrinsic Salt Resistance towards High-Efficient Desalination

Journal of Inorganic and Organometallic Polymers and Materials

DOI

2024

Salt resistant and self‐cleaning CNTs‐SEBS‐MAH composite membrane for seawater desalination

Journal of Applied Polymer Science

DOI

2024

Biopolymer Hydrogel-Based Salt-Resistant Evaporator for Solar-Energy-Driven Desalination and Water Purification.

Langmuir

DOI

2023

神经网络结构搜索前沿综述

《中文信息学报》

2023

非自回归神经机器翻译综述

《中文信息学报》

2023

Polyaniline/manganese nickel oxide/graphene composites as electrode materials for supercapacitors

Journal of Applied Polymer Science

DOI

2022

利用图像描述与知识图谱增强表示的视觉问答

《清华大学学报(自然科学版)》

2021

《机器翻译：基础与模型》

《中文信息学报》

2020

从粗粒度到细粒度的神经机器翻译系统推断加速方法

《厦门大学学报(自然科学版)》

2019

从文本中构建领域本体技术综述

《计算机学报》

2019

面向语言模型的神经元连接自动学习方法

《厦门大学学报(自然科学版)》

2019

模板驱动的神经机器翻译

《计算机学报》

2018

深度学习时代下的机器翻译

《人工智能》

2018

基于数据并行的神经语言模型多卡训练分析

《中文信息学报》

2018

神经机器翻译中数据泛化与短语生成方法研究

《中文信息学报》

2017

基于Transfer和Triangulation融合的中介语统计机器翻译方法

《中文信息学报》

2017

稀缺资源机器翻译中改进的语料级和短语级中间语言方法研究

《计算机学报》

2016

基于树到串模型强化的层次短语机器翻译解码方法

《计算机学报》

2016

统计机器翻译中实例短语对研究

《北京大学学报(自然科学版)》

2015

向上学习方法改进移进-归约中文句法分析

《中文信息学报》

2014

统计机器翻译删词问题研究

《中文信息学报》

2012

面向移进—归约句法分析器的单模型系统整合算法

《中文信息学报》

2011

基于句对质量和覆盖度的统计机器翻译训练语料选取

《中文信息学报》

2010

面向统计机器翻译的重对齐方法研究

《中文信息学报》

2010

基于领域类别信息C-value的多词串自动抽取

《中文信息学报》

2005

基于领域知识的文本分类

《东北大学学报(自然科学版)》

2004

汉语组块识别

《东北大学学报(自然科学版)》

2003

基于FIFA的主题相似性计算模型

《东北大学学报(自然科学版)》

2002

文本内容主题的识别方法

《东北大学学报(自然科学版)》

2000

词义自动消歧概率模型

《东北大学学报(自然科学版)》

1999

一种基于NA假设的训练数据自动构造方法

《东北大学学报(自然科学版)》

1999

基于相似性评估的近似实例求解策略

《东北大学学报(自然科学版)》

1998

中文信息自动抽取

《东北大学学报(自然科学版)》

1998

汉语信息处理中的语义关系类型分析

《东北大学学报(自然科学版)》

1996

一种规则描述语言NPRDL语言

《东北大学学报(自然科学版)》

2011

CWMT2011东北大学参评系统NiuTrans介绍(英文)

《机器翻译研究进展——第七届全国机器翻译研讨会论文集》

2011

面向移进-归约句法分析器的单模型系统融合算法

《中国计算语言学研究前沿进展（2009-2011）》

2011

基于反向转录语法的机器翻译混合解码策略

《第十一届全国计算语言学学术会议》

2010

Improving Ordinal Regression Model for Rating Inference through Optimizing Training Sample Selection

《第六届全国信息检索学术会议》

2010

基于多阶段的中文人名消歧聚类技术的研究

《第六届全国信息检索学术会议论文集》

2008

第四届全国机器翻译研讨会(CWMT08)东北大学自然语言处理实验室技术报告

《第四届全国机器翻译研讨会》

2008

基于条件随机场的中文命名实体识别特征比较研究

《第四届全国信息检索与内容安全学术会议论文集（上）》

2008

基于三类训练两类判别框架的主客观性句子识别

《第四届全国学生计算语言学研讨会》

2008

基于Bootstrapping的领域多词串自动获取

《第四届全国学生计算语言学研讨会》

2008

利用1-m词对齐信息改善统计机器翻译性能

《第四届全国学生计算语言学研讨会会议论文集》

2026

APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards

arXiv preprint

2026

BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories

arXiv preprint

2026

Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning

arXiv preprint

2026

FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models

arXiv preprint

2026

D$^2$F-ReAG: Dynamic Decomposition and Filtering for Multi-Hop Reasoning-Augmented Generation

arXiv preprint

2026

Complementary Roles of Activation and Parametric Memory in Few-Shot Learning

arXiv preprint

2026

CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling

arXiv preprint

2026

RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment

arXiv preprint

2026

Causal Autoregressive Diffusion Language Model

arXiv preprint

2026

Plan Canvas: Fixed Reasoning Regions for Continuous Language Flows

arXiv preprint

2026

StyleBench: Evaluating Speech Language Models on Conversational Speaking Style Control

arXiv preprint

2026

Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning

arXiv preprint

2026

ToFu: A White-Box, Token-Efficient Agent Harness for Researchers

arXiv preprint

2026

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning

arXiv preprint

2026

DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering

arXiv preprint

2026

MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration

arXiv preprint

2026

LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance

arXiv preprint

2026

RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward Construction

arXiv preprint

2026

StateRAG: Typed State Contracts for Complex Retrieval-Augmented Generation

arXiv preprint

2026

SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams

arXiv preprint

2026

Reading Right, Answering Wrong: How Visual Configuration Changes Affect Evidence Use in VLMs

arXiv preprint

2026

Can Terminal Agents Trust Their Own Verification? Diagnosing and Improving Self-Verification

arXiv preprint

2026

SPRI: SVD-Partitioned Residual Initialization for Data-Constrained MoE Upcycling

arXiv preprint

2026

DirectAudioEdit: Inversion-Free Text-Guided Audio Editing via Diffusion Prediction Contrast

arXiv preprint

2026

HybridThinker: Efficient Chain-of-Thought Reasoning via Compressed Memory and Transient Thought Steps

arXiv preprint

2026

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models

arXiv preprint

2026

MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks

arXiv preprint

2026

PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction

arXiv preprint

2026

On the Emotion Understanding of Synthesized Speech

arXiv preprint

2026

MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning

arXiv preprint

2026

Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence

arXiv preprint

2026

Better Decomposition, Free Aggregation: A Synthesizer-Folding Framework for Multilingual Multi-Hop Question Answering

arXiv preprint

2025

MTP-S2UT: Enhancing Speech-to-Speech Translation Quality with Multi-token Prediction

arXiv preprint

2025

Optimizing Speech Multi-View Feature Fusion through Conditional Computation

arXiv preprint

2025

SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment

arXiv preprint

2025

Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models

arXiv preprint

2025

Dissecting Long-Chain-of-Thought Reasoning Models: An Empirical Study

arXiv preprint

2025

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models

arXiv preprint

2025

IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method

arXiv preprint

2025

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models

arXiv preprint

2025

SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement

arXiv preprint

2025

Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders

arXiv preprint

2025

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination

arXiv preprint

2025

GRAM-R$^2$: Self-Training Generative Foundation Reward Models for Reward Reasoning

arXiv preprint

2025

Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

arXiv preprint

2025

One Size Does Not Fit All: Distribution-Guided Tensor-Wise Adaptive Sparsification for Model Merging

arXiv preprint

2025

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models

arXiv preprint

2025

SUBQRAG: Sub-Question Driven Dynamic Graph RAG

arXiv preprint

2025

FLEXI: Benchmarking Full-duplex Human-LLM Speech Interaction

arXiv preprint

2025

Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors

arXiv preprint

2025

Foundations of Large Language Models

arXiv preprint

2025

MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization

arXiv preprint

2025

Leveraging Unit Language Guidance to Advance Speech Modeling in Textless Speech-to-Speech Translation

arXiv preprint

2025

Attention2Probability: Attention-Driven Terminology Probability Estimation for Robust Speech-to-Text System

arXiv preprint

2025

GRAM: A Generative Foundation Reward Model for Reward Generalization

arXiv preprint

2025

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs

arXiv preprint

2025

M-CIF: Multi-Scale Alignment For CIF-Based Non-Autoregressive ASR

arXiv preprint

2024

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-context Models

arXiv preprint

2024

Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization

arXiv preprint

2024

Recent Advances in End-to-End Simultaneous Speech Translation

arXiv preprint

2024

Prior Constraints-based Reward Model Training for Aligning Large Language Models

arXiv preprint

2024

Revealing the Parallel Multilingual Learning within Large Language Models

arXiv preprint

2024

Hybrid Alignment Training for Large Language Models

arXiv preprint

2024

Efficient Prompting Methods for Large Language Models: A Survey

arXiv preprint

2024

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation

arXiv preprint

2024

Teaching Language Models to Self-Improve by Learning from Language Feedback

arXiv preprint

2024

Revisiting Interpolation Augmentation for Speech-to-Text Generation

arXiv preprint

2024

A Modular-based Strategy for Mitigating Gradient Conflicts in Simultaneous Speech Translation

arXiv preprint

2024

RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners

arXiv preprint

2024

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data

arXiv preprint

2024

Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning

arXiv preprint

2024

Cross-layer Attention Sharing for Pre-trained Large Language Models

arXiv preprint

2024

Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models

arXiv preprint

2024

Translate-and-Revise: Boosting Large Language Models for Constrained Translation

arXiv preprint

2024

NDP: Next Distribution Prediction as a More Broad Target

arXiv preprint

2024

LRHP: Learning Representations for Human Preferences via Preference Pairs

arXiv preprint

2023

Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection

arXiv preprint

2023

ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation

arXiv preprint

2023

Bridging the Granularity Gap for Acoustic Modeling

arXiv preprint

2023

Augmenting Large Language Model Translators via Translation Memories

arXiv preprint

2023

Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations

arXiv preprint

2023

Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation

arXiv preprint

2023

Bridging the Gaps of Both Modality and Language: Synchronous Bilingual CTC for Speech Translation and Speech Recognition

arXiv preprint

2023

Soft Alignment of Modality Space for End-to-end Speech Translation

arXiv preprint

2023

Introduction to Transformers: an NLP Perspective

arXiv preprint

2023

Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs

arXiv preprint

2023

Rethinking and Improving Multi-task Learning for End-to-end Speech Translation

arXiv preprint

2023

Understanding Parameter Sharing in Transformers

arXiv preprint

2023

PartialFormer: Modeling Part Instead of Whole for Machine Translation

arXiv preprint

2023

CTC-based Non-autoregressive Speech Translation

arXiv preprint

2023

Learning Evaluation Models from Large Language Models for Sequence Generation

arXiv preprint

2023

Prompting Neural Machine Translation with Translation Memories

arXiv preprint

2023

Deliberate then Generate: Enhanced Prompting Framework for Text Generation

arXiv preprint

2023

Multi-Path Transformer is Better: A Case Study on Neural Machine Translation

arXiv preprint

2023

TranSFormer: Slow-Fast Transformer for Machine Translation

arXiv preprint

2023

Recent Advances in Direct Speech-to-text Translation

arXiv preprint

2023

MobileNMT: Enabling Translation in 15MB and 30ms

arXiv preprint

2022

On Vision Features in Multimodal Machine Translation

arXiv preprint

2022

Learning Multiscale Transformer Models for Sequence Generation

arXiv preprint

2022

Improving End-to-end Speech Translation by Leveraging Auxiliary Speech and Text Data

arXiv preprint

2022

EIT: Enhanced Interactive Transformer

arXiv preprint

2021

An Efficient Transformer Decoder with Compressed Sub-layers

arXiv preprint

2021

The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task

arXiv preprint

2021

The NiuTrans System for WNGT 2020 Efficiency Task

arXiv preprint

2021

The NiuTrans Machine Translation Systems for WMT21

arXiv preprint

2021

RankNAS: Efficient Neural Architecture Search by Pairwise Ranking

arXiv preprint

2021

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation

arXiv preprint

2021

Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders

arXiv preprint

2021

Bag of Tricks for Optimizing Transformer Efficiency

arXiv preprint

2021

The NiuTrans System for the WMT21 Efficiency Task

arXiv preprint

2020

Weight Distillation: Transferring the Knowledge in Neural Network Parameters

arXiv preprint

2020

Dynamic Curriculum Learning for Low-Resource Neural Machine Translation

arXiv preprint

2020

Neural Machine Translation with Joint Representation

arXiv preprint

2020

Towards Fully 8-bit Integer Inference for the Transformer Model

arXiv preprint

2020

Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation

arXiv preprint

2020

Shallow-to-Deep Training for Neural Machine Translation

arXiv preprint

2020

Layer-Wise Multi-View Learning for Neural Machine Translation

arXiv preprint

2020

Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation

arXiv preprint

2020

Learning Architectures from an Extended Search Space for Language Modeling

arXiv preprint

2020

A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction

arXiv preprint

2020

Multi-layer Representation Fusion for Neural Machine Translation

arXiv preprint

2020

Learning Light-Weight Translation Models from Deep Transformer

arXiv preprint

2019

Learning Deep Transformer Models for Machine Translation

arXiv preprint

2019

Sharing Attention Weights for Fast Transformer

arXiv preprint

2019

Shared-Private Bilingual Word Embeddings for Neural Machine Translation

arXiv preprint

2017

Towards Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation

arXiv preprint