𝗛𝗼𝗻𝗲𝘀𝘁𝗟𝗟𝗠
- Introduces 𝙃𝙊𝙉𝙀𝙎𝙀𝙏, a dataset with 930 queries in six categories to evaluate LLM honesty
- Proposes curiosity-driven prompting and two-stage fine-tuning for improving honesty and helpfulness
- Demonstrates up to 124.7% honesty and helpfulness improvement in models like Mistral-7b
- Introduces 𝙃𝙊𝙉𝙀𝙎𝙀𝙏, a dataset with 930 queries in six categories to evaluate LLM honesty
- Proposes curiosity-driven prompting and two-stage fine-tuning for improving honesty and helpfulness
- Demonstrates up to 124.7% honesty and helpfulness improvement in models like Mistral-7b
December 6, 2024 at 9:06 PM
𝗛𝗼𝗻𝗲𝘀𝘁𝗟𝗟𝗠
- Introduces 𝙃𝙊𝙉𝙀𝙎𝙀𝙏, a dataset with 930 queries in six categories to evaluate LLM honesty
- Proposes curiosity-driven prompting and two-stage fine-tuning for improving honesty and helpfulness
- Demonstrates up to 124.7% honesty and helpfulness improvement in models like Mistral-7b
- Introduces 𝙃𝙊𝙉𝙀𝙎𝙀𝙏, a dataset with 930 queries in six categories to evaluate LLM honesty
- Proposes curiosity-driven prompting and two-stage fine-tuning for improving honesty and helpfulness
- Demonstrates up to 124.7% honesty and helpfulness improvement in models like Mistral-7b
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
- VisionPrefer datset captures diverse preferences (prompt-following, aesthetic, fidelity, harmlessness) using multimodal LLMs
- VP-Score model matches human accuracy in preference prediction, guiding model tuning
- VisionPrefer datset captures diverse preferences (prompt-following, aesthetic, fidelity, harmlessness) using multimodal LLMs
- VP-Score model matches human accuracy in preference prediction, guiding model tuning
December 5, 2024 at 10:28 PM
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
- VisionPrefer datset captures diverse preferences (prompt-following, aesthetic, fidelity, harmlessness) using multimodal LLMs
- VP-Score model matches human accuracy in preference prediction, guiding model tuning
- VisionPrefer datset captures diverse preferences (prompt-following, aesthetic, fidelity, harmlessness) using multimodal LLMs
- VP-Score model matches human accuracy in preference prediction, guiding model tuning
It unfortunately doesn't work that well with short (<200 tokens) responses.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
November 24, 2024 at 9:47 AM
It unfortunately doesn't work that well with short (<200 tokens) responses.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
November 23, 2024 at 9:38 PM