Shichao Song

Orcid: 0009-0005-4575-9592

According to our database1, Shichao Song authored at least 26 papers between 2023 and 2026.

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Bibliography

2026
Empowering Large Language Models to Set Up Knowledge Retrieval Indexing via Self-Learning.
IEEE Trans. Knowl. Data Eng., March, 2026

SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

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

Attention heads of large language models.
Patterns, 2025

xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation.
Proceedings of the Thirteenth International Conference on Learning Representations, 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

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

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

Attention Heads of Large Language Models: A Survey.
CoRR, 2024

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

Internal Consistency and Self-Feedback in Large Language Models: A Survey.
CoRR, 2024

Memory<sup>3</sup>: Language Modeling with Explicit Memory.
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

xFinder: Robust and Pinpoint Answer Extraction for Large Language Models.
CoRR, 2024

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

Grimoire is All You Need for Enhancing Large Language Models.
CoRR, 2024

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 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

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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