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nlp:human-in-the-loop

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nlp:human-in-the-loop [2025/05/01 12:46] – [RLHF] jmflanignlp:human-in-the-loop [2025/05/31 07:43] (current) – [RLHF] jmflanig
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   * [[https://arxiv.org/pdf/2306.01693.pdf|Wu et al 2023 - Fine-Grained Human Feedback Gives Better Rewards for Language Model Training]]   * [[https://arxiv.org/pdf/2306.01693.pdf|Wu et al 2023 - Fine-Grained Human Feedback Gives Better Rewards for Language Model Training]]
   * [[https://arxiv.org/pdf/2410.04612|Gao et al 2024 - Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF]]   * [[https://arxiv.org/pdf/2410.04612|Gao et al 2024 - Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF]]
 +  * [[https://arxiv.org/pdf/2505.22338|Wang et al 2025 - Text2Grad: Reinforcement Learning from Natural Language Feedback]]
  
 === Crowdsourcing & Data Collection === === Crowdsourcing & Data Collection ===
nlp/human-in-the-loop.1746103561.txt.gz · Last modified: 2025/05/01 12:46 by jmflanig
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