Alignment of LRMs via Counter-Aligned Few-Shot Conversation Exposure
cs.AI
Submitted: 2026-08-16
Updated: 2026-08-16
Terminology
Sources
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- A Survey on Large Language Models for Code Generation
- OpenAI o1 System Card
- Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models
- Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking
- Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable
- Reasoning Models Don't Always Say What They Think
- H-CoT: Hijacking the Chain-of-Thought Safety Reasoning Mechanism to Jailbreak Large Reasoning Models, Including OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking
- Discovering Forbidden Topics in Language Models
- Chain-of-Thought Hijacking
- Large Reasoning Models Learn Better Alignment from Flawed Thinking
- Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
- Hijacking Large Language Models via Adversarial In-Context Learning
- Adversarial Demonstration Attacks on Large Language Models
- gpt-oss-120b & gpt-oss-20b Model Card
- SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
- STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
- BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
- Self-Correcting Large Language Models: Generation vs. Multiple Choice
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