References Improve LLM Alignment in Non-Verifiable Domains | ScienceToStartup | ScienceToStartup

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References (48)

[1]

Reinforcement Learning with Rubric Anchors

2025Zenan Huang, Yihong Zhuang et al.

[2]

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

2025Anisha Gunjal, Anthony Wang et al.

[3]

BLEUBERI: BLEU is a surprisingly effective reward for instruction following

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"Use reference-guided LLM-evaluators to improve alignment and self-improvement in non-verifiable domains."

LLM Alignment•Score: 6•View PDF ↗

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References Improve LLM Alignment in Non-Verifiable Domains

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References (48)

Founder's Pitch

"Use reference-guided LLM-evaluators to improve alignment and self-improvement in non-verifiable domains."

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References Improve LLM Alignment in Non-Verifiable Domains

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References (48)

Founder's Pitch

"Use reference-guided LLM-evaluators to improve alignment and self-improvement in non-verifiable domains."

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