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Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
Paper • 2502.15086 • Published • 16 -
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 91 -
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information
Paper • 2502.14258 • Published • 26 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29
Hyuhng Joon Kim
heyjoonkim
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AI & ML interests
Machine Learning, Natural Language Processing (NLP), Uncertainty, Abstention for Reliability
Recent Activity
updated
a dataset
2 days ago
heyjoonkim/ambig_freebase_qa
published
a dataset
2 days ago
heyjoonkim/ambig_freebase_qa
updated
a dataset
2 days ago
heyjoonkim/ambig_web_questions
Organizations
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Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
Paper • 2502.15086 • Published • 16 -
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 91 -
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information
Paper • 2502.14258 • Published • 26 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29
models
0
None public yet