Yiding Liu
Yiding Liu
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Enhancing graph neural networks with structure-based prompt
Qingqing Ge
,
Zeyuan Zhao
,
Yiding Liu
,
Anfeng Cheng
,
Xiang Li
,
Shuaiqiang Wang
,
Dawei Yin
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Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks
Zeyuan Zhao
,
Qingqing Ge
,
Anfeng Cheng
,
Yiding Liu
,
Xiang Li
,
Shuaiqiang Wang
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Exploring Memorization in Fine-tuned Language Models
We conduct the first comprehensive analysis to explore language models’ (LMs) memorization during fine-tuning across tasks. Our studies indicate that memorization presents a strong disparity among different finetuning tasks.
Shenglai Zeng
,
Yaxin Li
,
Jie Ren
,
Yiding Liu
,
Han Xu
,
Pengfei He
,
Yue Xing
,
Shuaiqiang Wang
,
Jiliang Tang
,
Dawei Yin
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The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
We conduct extensive empirical studies with novel attack methods, which demonstrate the vulnerability of RAG systems on leaking the private retrieval database. We further reveal that RAG can mitigate the leakage of the LLMs’ training data.
Shenglai Zeng
,
Jiankun Zhang
,
Pengfei He
,
Yue Xing
,
Yiding Liu
,
Han Xu
,
Jie Ren
,
Shuaiqiang Wang
,
Dawei Yin
,
Yi Chang
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Code
Layout-aware webpage quality assessment
Anfeng Cheng
,
Yiding Liu
,
Weibin Li
,
Qian Dong
,
Shuaiqiang Wang
,
Zhengjie Huang
,
Shikun Feng
,
Zhicong Cheng
,
Dawei Yin
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Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction
We focus on ranking user satisfaction rather than relevance in web search, and propose a PLM-based framework, namely SAT-Ranker, which comprehensively models different dimensions of user satisfaction in a unified manner.
Canjia Li
,
Xiaoyang Wang
,
Dongdong Li
,
Yiding Liu
,
Yu Lu
,
Shuaiqiang Wang
,
Zhicong Cheng
,
Simiu Gu
,
Dawei Yin
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Self-supervised Heterogeneous Graph Variational Autoencoders
Yige Zhao
,
Jianxiang Yu
,
Yao Cheng
,
Chengcheng Yu
,
Yiding Liu
,
Xiang Li
,
Shuaiqiang Wang
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Ernie-search: Bridging cross-encoder with dual-encoder via self on-the-fly distillation for dense passage retrieval
Yuxiang Lu
,
Yiding Liu
,
Jiaxiang Liu
,
Yunsheng Shi
,
Zhengjie Huang
,
Shikun Feng Yu Sun
,
Hao Tian
,
Hua Wu
,
Shuaiqiang Wang
,
Dawei Yin
,
Others
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