Comments (2)
Immortalise
commented on August 23, 2024
- Using PDR is also beneficial, I think it has a similar impact as the score differences.
- In the adversarial prompts goal function, the
maximizableargument is redundant.
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ary4n99
commented on August 23, 2024
Thank you for clarifying!
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Related Issues (20)
- The link is broken in https://llm-eval.github.io/pages/code.html HOT 1
- Is this an ongoing project? HOT 2
- Where is defined inference_total_dataset() HOT 1
- How do you get the evaluation results of the `prompt enginering` leaderboard? HOT 4
- The `prompt engineering` leaderboard is cut off in half... HOT 5
- Is ` DyVal` included in `PromptBench` yet? HOT 2
- The ‘temperature’ parameter in pb.LLMModel needs to be of type float HOT 1
- Can you provide a general data format for constructing test data independently? HOT 1
- How to reproduce the transferability results? HOT 1
- typo HOT 1
- Compatibility Request: Upgrade openai Dependency to Support >=1.10.0
- Access to per-sample evaluation results HOT 2
- examples basic.ipyn HOT 3
- Pip's dependency conflicts :datasets==2.15.0 HOT 2
- can you share a prompt to test llama with mmlu data ? HOT 2
- 执行bertattack攻击的时候出现SSL错误，是不是下载bert模型出错啊！基本LLM模型已经是在本地了 HOT 6
- Llama2 adversarial prompts HOT 3
- clarification on the attacks HOT 2
- Question-answer template attack HOT 2
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