KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing.
CoRR, May, 2025
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.
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Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants.
CoRR, 2024
A Survey on the Memory Mechanism of Large Language Model based Agents.
CoRR, 2024
Reflective Multi-Agent Collaboration based on Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Learning on Large-scale Text-attributed Graphs via Variational Inference.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Test-Time Training for Graph Neural Networks.
CoRR, 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
HousE: Knowledge Graph Embedding with Householder Parameterization.
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Proceedings of the International Conference on Machine Learning, 2022
Improving Spectral Graph Convolution for Learning Graph-level Representation.
CoRR, 2021