When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger | ScienceToStartup | ScienceToStartup

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References (32)

[1]

Weak-to-Strong Generalization under Distribution Shifts

2025Myeongho Jeon, J. Sobotka et al.

[2]

Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy

2025Chris Liu, Liang Zeng et al.

[3]

Qwen2.5 Technical Report

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"Leverage weak LLMs with confidence-weighting to outperform full human annotation in preference alignment."

LLM Training•Score: 2•View PDF ↗

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When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger

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References (32)

Founder's Pitch

"Leverage weak LLMs with confidence-weighting to outperform full human annotation in preference alignment."

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When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger

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References (32)

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