Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models | ScienceToStartup | ScienceToStartup

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References (34)

[1]

Escaping the Verifier: Learning to Reason via Demonstrations

2025Locke Cai, Ivan Provilkov

[2]

Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction

2025Yusong Wu, Stephen Brade et al.

[3]

RLP: Reinforcement as a Pretraining Objective

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"Introducing energy-based fine-tuning for language models to enhance sequence-level performance."

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Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models

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References (34)

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"Introducing energy-based fine-tuning for language models to enhance sequence-level performance."

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Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models

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References (34)

Founder's Pitch

"Introducing energy-based fine-tuning for language models to enhance sequence-level performance."

Commercial Viability Breakdown

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