ustclsc/PERMA
PERMA: Benchmarking Personalized Memory Agents TL;DR PERMA is a benchmark for evaluating personalized memory agents in long-horizon conversations where user preferences evolve over time.Instead of static retrieval, models must track event-driven preference evolution and maintain persona consistency under realistic interaction noise. This dataset supports two complementary evaluation protocols: Multiple-choice evaluation for granular capability probing (task… See the full description on the dataset page: https://huggingface.co/datasets/ustclsc/PERMA.
| Author / organization | ustclsc |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 2.7K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 28 March 2026 |
| Last updated at source | 11 April 2026 |
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- 17 Oct 2026 Description: PERMA: Benchmarking Personalized Memory Agents TL;DR PERMA is a benchmark for evaluating personalized memory agents in long-horizon conversations where user preferences evolve over time.Instead of static retrieval, models must track event-d → PERMA: Benchmarking Personalized Memory Agents TL;DR PERMA is a benchmark for evaluating personalized memory agents in long-horizon conversations where user preferences evolve over time.Instead of static retrieval, models must track event-d
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