Reward Modelling
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![Reward Modelling [论文评述] Reward Models in Deep Reinforcement Learning: A Survey](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/reward-models-in-deep-reinforcement-learning-a-survey-1.png)
![Reward Modelling [논문 리뷰] Reward Inside the Model: A Lightweight Hidden-State Reward ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/reward-inside-the-model-a-lightweight-hidden-state-reward-model-for-llms-best-of-n-sampling-1.png)



![Reward Modelling [论文评述] Sentence-level Reward Model can Generalize Better for Aligning ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/sentence-level-reward-model-can-generalize-better-for-aligning-llm-from-human-preference-1.png)

![Reward Modelling [论文评述] Activation Reward Models for Few-Shot Model Alignment](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/activation-reward-models-for-few-shot-model-alignment-1.png)












![Reward Modelling [논문 리뷰] Energy-Based Reward Models for Robust Language Model Alignment](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/energy-based-reward-models-for-robust-language-model-alignment-1.png)






























![Reward Modelling [2407.16216] A Comprehensive Survey of LLM Alignment Techniques: RLHF ...](https://ar5iv.labs.arxiv.org/html/2407.16216/assets/figures/Reward_model.png)


![Reward Modelling [2402.00396] Efficient Exploration for LLMs](https://ar5iv.labs.arxiv.org/html/2402.00396/assets/reward-model.png)










![Reward Modelling [논문 리뷰] InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/internlm-xcomposer25-reward-a-simple-yet-effective-multi-modal-reward-model-1.png)



![Reward Modelling [2310.09520] Reward-Augmented Decoding: Efficient Controlled Text ...](https://ar5iv.labs.arxiv.org/html/2310.09520/assets/x1.png)








