Simin Niu

Orcid: 0009-0009-1862-8959

According to our database1, Simin Niu authored at least 26 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2025
MemOS: A Memory OS for AI System.
CoRR, July, 2025

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models.
CoRR, May, 2025

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models.
ACM Trans. Inf. Syst., March, 2025

MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System.
CoRR, March, 2025

SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models.
CoRR, March, 2025

SurveyX: Academic Survey Automation via Large Language Models.
CoRR, February, 2025

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.
CoRR, January, 2025

When Sparse Graph Representation Learning Falls into Domain Shift: Feature Augmentation for Cross-Domain Graph Meta-Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Retrieval-Augmented Multilingual Citation Generation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

QAEncoder: Towards Aligned Representation Learning in Question Answering Systems.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Meta-Chunking: Learning Efficient Text Segmentation via Logical Perception.
CoRR, 2024

TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles.
CoRR, 2024

QAEncoder: Towards Aligned Representation Learning in Question Answering System.
CoRR, 2024

Controllable Text Generation for Large Language Models: A Survey.
CoRR, 2024

HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability.
CoRR, 2024

Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning.
CoRR, 2024

Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities.
CoRR, 2024

Temporal Knowledge Graph Embedding using Householder Transformations.
Proceedings of the IEEE International Conference on Acoustics, 2024

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.
CoRR, 2023


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