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检索条件"机构=Center for Pattern Recognition and Data Mining"
54 条 记 录,以下是1-10 订阅
排序:
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons  31
Multilingual Knowledge Editing with Language-Agnostic Factua...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Zhang, Xue Liang, Yunlong Meng, Fandong Zhang, Songming Chen, Yufeng Xu, Jinan Zhou, Jie Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
Multilingual knowledge editing (MKE) aims to simultaneously update factual knowledge across multiple languages within large language models (LLMs). Previous research indicates that the same knowledge across different ... 详细信息
来源: 评论
BJTU-WeChat's Systems for the WMT22 Chat Translation Task  7
BJTU-WeChat's Systems for the WMT22 Chat Translation Task
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7th Conference on Machine Translation, WMT 2022
作者: Liang, Yunlong Meng, Fandong Xu, Jinan Chen, Yufeng Zhou, Jie Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
This paper introduces the joint submission of the Beijing Jiaotong University and WeChat AI to the WMT'22 chat translation task for English↔German. Based on the Transformer (Vaswani et al., 2017), we apply several...
来源: 评论
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
Cross-Align: Modeling Deep Cross-lingual Interactions for Wo...
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2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
作者: Lai, Siyu Yang, Zhen Meng, Fandong Chen, Yufeng Xu, Jinan Zhou, Jie Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
Word alignment which aims to extract lexicon translation equivalents between source and target sentences, serves as a fundamental tool for natural language processing. Recent studies in this area have yielded substant... 详细信息
来源: 评论
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping
arXiv
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arXiv 2025年
作者: Chen, Yijie Liu, Yijin Meng, Fandong Chen, Yufeng Xu, Jinan Zhou, Jie Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
Knowledge Distillation (KD) has emerged as a prominent technique for model compression. However, conventional KD approaches primarily focus on homogeneous architectures with identical tokenizers, constraining their ap... 详细信息
来源: 评论
D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens
arXiv
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arXiv 2025年
作者: Wang, Panpan Niu, Liqiang Meng, Fandong Xu, Jinan Chen, Yufeng Zhou, Jie Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
In the domain of image generation, latent-based generative models occupy a dominant status;however, these models rely heavily on image tokenizer. To meet modeling requirements, autoregressive models possessing the cha... 详细信息
来源: 评论
Warmup-Distill: Bridge the Distribution Mismatch between Teacher and Student before Knowledge Distillation
arXiv
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arXiv 2025年
作者: Sun, Zengkui Liu, Yijin Meng, Fandong Chen, Yufeng Xu, Jinan Zhou, Jie Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
The widespread deployment of Large Language Models (LLMs) is hindered by the high computational demands, making knowledge distillation (KD) crucial for developing compact smaller ones. However, the conventional KD met... 详细信息
来源: 评论
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons
arXiv
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arXiv 2024年
作者: Zhang, Xue Liang, Yunlong Meng, Fandong Zhang, Songming Chen, Yufeng Xu, Jinan Zhou, Jie Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
Multilingual knowledge editing (MKE) aims to simultaneously update factual knowledge across multiple languages within large language models (LLMs). Previous research indicates that the same knowledge across different ... 详细信息
来源: 评论
Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words
arXiv
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arXiv 2024年
作者: Chen, Yijie Liu, Yijin Meng, Fandong Chen, Yufeng Xu, Jinan Zhou, Jie Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
Gender bias has been a focal point in the study of bias in machine translation and language models. Existing machine translation gender bias evaluations are primarily focused on male and female genders, limiting the s... 详细信息
来源: 评论
A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences
arXiv
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arXiv 2025年
作者: Shen, Jiaxin Xu, Jinan Hu, Huiqi Lin, Luyi Zheng, Fei Ma, Guoyang Meng, Fandong Zhou, Jie Han, Wenjuan Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence Beijing China Law School Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
While progress has been made in legal applications, law reasoning, crucial for fair adjudication, remains unexplored. We propose a transparent law reasoning schema enriched with hierarchical factum probandum, evidence... 详细信息
来源: 评论
Unified Model Learning for Various Neural Machine Translation
arXiv
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arXiv 2023年
作者: Liang, Yunlong Meng, Fandong Xu, Jinan Wang, Jiaan Chen, Yufeng Zhou, Jie Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Pattern Recognition Center WeChat AI Tencent Inc China
Existing neural machine translation (NMT) studies mainly focus on developing dataset-specific models based on data from different tasks (e.g., document translation and chat translation). Although the dataset-specific ... 详细信息
来源: 评论