Copertina

Libra: Large Chinese-based Safeguard for AI Content

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Ziyang, Yu, Huimu, Wu, Xing, Liu, Dongqin, Hu, Songlin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
di: Yu, Huimu, et al.
Pubblicazione: (2024)

Agent Tools Orchestration Leaks More: Dataset, Benchmark, and Mitigation
di: Qiao, Yuxuan, et al.
Pubblicazione: (2025)

A Simple and Effective Framework for Symmetric Consistent Indexing in Large-Scale Dense Retrieval
di: Wang, Huimu, et al.
Pubblicazione: (2025)

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
di: Gao, Chaochen, et al.
Pubblicazione: (2024)

A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search
di: Wang, Huimu, et al.
Pubblicazione: (2024)

PolicyLong: Towards On-Policy Context Extension
di: Jia, Junlong, et al.
Pubblicazione: (2026)

LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark
di: Chen, Ziyang, et al.
Pubblicazione: (2026)

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
di: Gao, Chaochen, et al.
Pubblicazione: (2025)

AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
di: Wang, Yu, et al.
Pubblicazione: (2024)

Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
di: Su, Zhenpeng, et al.
Pubblicazione: (2023)

EntropyLong: Effective Long-Context Training via Predictive Uncertainty
di: Jia, Junlong, et al.
Pubblicazione: (2025)

Safeguarding Large Language Models: A Survey
di: Dong, Yi, et al.
Pubblicazione: (2024)

Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models
di: Luo, Weidi, et al.
Pubblicazione: (2024)

LLM Safeguard is a Double-Edged Sword: Exploiting False Positives for Denial-of-Service Attacks
di: Zhang, Qingzhao, et al.
Pubblicazione: (2024)

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
di: Du, Xinrun, et al.
Pubblicazione: (2024)

AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management
di: Mao, Junyuan, et al.
Pubblicazione: (2025)

Safeguarding Federated Learning-based Road Condition Classification
di: Liu, Sheng, et al.
Pubblicazione: (2025)

NExtLong: Toward Effective Long-Context Training without Long Documents
di: Gao, Chaochen, et al.
Pubblicazione: (2025)

HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus
di: Su, Zhenpeng, et al.
Pubblicazione: (2023)

GuardReasoner: Towards Reasoning-based LLM Safeguards
di: Liu, Yue, et al.
Pubblicazione: (2025)

Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
di: Li, Xiaodan, et al.
Pubblicazione: (2025)

Safeguarding AI Agents: Developing and Analyzing Safety Architectures
di: Domkundwar, Ishaan, et al.
Pubblicazione: (2024)

Group Selection as a Safeguard Against AI Substitution
di: Zhong, Qiankun, et al.
Pubblicazione: (2026)

AI Content Self-Detection for Transformer-based Large Language Models
di: Caiado, Antônio Junior Alves, et al.
Pubblicazione: (2023)

Embedding with Large Language Models for Classification of HIPAA Safeguard Compliance Rules
di: Rahman, Md Abdur, et al.
Pubblicazione: (2024)

BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
di: Miao, Rui, et al.
Pubblicazione: (2025)

Shattering the Echo Chamber: Hidden Safeguards in Manuscripts Against the AI Takeover of Peer Review
di: Ma, Oubo, et al.
Pubblicazione: (2026)

On Prompt-Driven Safeguarding for Large Language Models
di: Zheng, Chujie, et al.
Pubblicazione: (2024)

ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
di: Zhou, Siying, et al.
Pubblicazione: (2025)

AI Scientist via Synthetic Task Scaling
di: Cai, Ziyang, et al.
Pubblicazione: (2026)

Mastering Chinese Chess AI (Xiangqi) Without Search
di: Chen, Yu, et al.
Pubblicazione: (2024)

Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
di: Kuai, Zhirui, et al.
Pubblicazione: (2024)

Stochastic Trajectory Prediction under Unstructured Constraints
di: Ma, Hao, et al.
Pubblicazione: (2025)

HFuzzer: Testing Large Language Models for Package Hallucinations via Phrase-based Fuzzing
di: Zhao, Yukai, et al.
Pubblicazione: (2025)

Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation
di: Mukherjee, Anirban
Pubblicazione: (2024)

An AI Agent Execution Environment to Safeguard User Data
di: Stanley, Robert, et al.
Pubblicazione: (2026)

SeqUDA-Rec: Sequential User Behavior Enhanced Recommendation via Global Unsupervised Data Augmentation for Personalized Content Marketing
di: Luo, Ruihan, et al.
Pubblicazione: (2025)

Measuring Human Contribution in AI-Assisted Content Generation
di: Xie, Yueqi, et al.
Pubblicazione: (2024)

R3A: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms
di: Yuan, Xiaowei, et al.
Pubblicazione: (2025)

SABER: Small Actions, Big Errors -- Safeguarding Mutating Steps in LLM Agents
di: Cuadron, Alejandro, et al.
Pubblicazione: (2025)