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Aligner: Efficient alignment by learning to correct
With the rapid development of large language models (LLMs) and ever-evolving practical
requirements, finding an efficient and effective alignment method has never been more …
requirements, finding an efficient and effective alignment method has never been more …
From System 1 to System 2: A Survey of Reasoning Large Language Models
Achieving human-level intelligence requires refining the transition from the fast, intuitive
System 1 to the slower, more deliberate System 2 reasoning. While System 1 excels in …
System 1 to the slower, more deliberate System 2 reasoning. While System 1 excels in …
Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction
The rapid advancement of large language models (LLMs) has led to significant
improvements in their capabilities, but also to increased concerns about their alignment with …
improvements in their capabilities, but also to increased concerns about their alignment with …
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings
W Lu, H Peng, H Zhuang, C Chen, Z Zeng - arxiv preprint arxiv …, 2025 - arxiv.org
Multimodal Large Language Models (MLLMs) have serious security vulnerabilities. While
safety alignment using multimodal datasets consisting of text and data of additional …
safety alignment using multimodal datasets consisting of text and data of additional …