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Pluralistic Reward Model Learning on PRISM
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59.6
Accuracy
EpiPersona
54.0152
55.4651
56.915
58.3649
Mar 30, 2026
Accuracy
Updated 18d ago
Evaluation Results
Method
Method
Links
Accuracy
EpiPersona
Backbone=LLAMA-3.2-3B
2026.03
59.6
EpiPersona
Backbone=LLAMA-3.1-8B
2026.03
58.54
VPL
Backbone=LLAMA-3.2-3B
2026.03
58.26
VPL
Backbone=LLAMA-3.1-8B
2026.03
58.23
BT
Backbone=LLAMA-3.1-8B
2026.03
57.11
PAL
Backbone=LLAMA-3.2-3B
2026.03
56.81
BT
Backbone=LLAMA-3.2-3B
2026.03
56.58
GPO
Backbone=LLAMA-3.1-8B
2026.03
56.48
GPO
Backbone=LLAMA-3.2-3B
2026.03
55.26
PAL
Backbone=LLAMA-3.1-8B
2026.03
54.23
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