Kun Zhou
Orcid: 0000-0003-0650-9521Affiliations:
- Renmin University of China, School of Information, Beijing, China
According to our database1,
Kun Zhou
authored at least 55 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models.
CoRR, 2024
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
CoRR, 2024
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.
CoRR, 2024
CoRR, 2024
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
ACM Trans. Inf. Syst., October, 2023
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-<i>N</i> Recommendation.
ACM Trans. Inf. Syst., January, 2023
Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning.
CoRR, 2023
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
StructGPT: A General Framework for Large Language Model to Reason over Structured Data.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
CoRR, 2021
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Advances in Information Retrieval, 2021
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
CoRR, 2020
Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Leveraging Historical Interaction Data for Improving Conversational Recommender System.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020