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任鹏杰
-
研究员
- 性别：男
- 所在单位：计算机科学与技术学院
- 入职时间： 2020-12-29
访问量：
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[1]
.
Knowledge Graph Enhanced Large Language Model Editing.
2024.
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[2]
.
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.
2024.
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[3]
吴世广.
Generative Retrieval as Multi-Vector Dense Retrieval.
2024.
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[4]
.
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
2023.
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[5]
石超宇.
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers.
ACM Transactions on Information Systems,
2024.
-
[6]
刘中坤.
Center-retained fine-tuning for conversational question ranking center identification.
INFORMATION PROCESSING & MANAGEMENT,
2024.
-
[7]
邓文韬.
Syllogistic Reasoning for Legal Judgment Analysis.
13997-14009,
2023.
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[8]
马沐阳.
Improving Transformer-based Sequential Recommenders through Preference Editing.
ACM Transactions on Information Systems,
41,
2023.
-
[9]
林于杰.
A Self-Correcting Sequential Recommender.
1283-1293,
2023.
-
[10]
邓文韬.
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues.
TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS,
11,
1232,
2023.
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[11]
刘中坤.
Center-retained fine-tuning for conversational question ranking through unsupervised center identifi.
Information Processing & Management,
61,
2024.
-
[12]
马沐阳.
Mixed Information Flow for Cross-Domain Sequential Recommendations.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,
16,
2022.
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[13]
杨纪元.
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
2024.
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[14]
.
On the Effectiveness of Unlearning in Session-Based Recommendation.
2024.
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[15]
.
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
2023.
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[16]
.
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
922-931,
2023.
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[17]
.
On the User Behavior Leakage from Recommender System Exposure.
ACM Transactions on Information Systems,
41,
2023.
-
[18]
.
Debiasing Learning for Membership Inference Attacks Against Recommender Systems.
2022.
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[19]
.
Variational Reasoning about User Preferences for Conversational Recommendation.
2022.
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[20]
张晓宇.
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation.
2023.
