[ICLR 2025] IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
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Feb 19, 2025 - Python
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reward-modeling
Here are 8 public repositories matching this topic...
Datasets collection and preprocessings framework for NLP extreme multitask learning
nlp benchmark text-classification glue scaling natural-language-inference crossfit multi-task-learning meta-learning bigbench discriminative huggingface dataset-collection instruction-tuning preprocessings multi-task-learning-scaling extreme-multi-task-learning extreme-mtl curated-datasets reward-modeling
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Jan 6, 2025 - Python
Efficient LLM inference on Slurm clusters using vLLM.
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Mar 27, 2025 - Python
official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and Alternatives
reward inverse-reinforcement-learning large-language-models rlhf reward-models largelanguagemodels reward-modeling llm-aligment llmalignment
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Mar 11, 2025 - Python
Learning to route instances for Human vs AI Feedback
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Feb 11, 2025 - Python
[ACL2024 Findings]DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling
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Jun 6, 2024 - Python
The code used in the paper "DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging"
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Oct 8, 2024 - Python
Building an LLM with RLHF involves fine-tuning using human-labeled preferences. Based on Learning to Summarize from Human Feedback, it uses supervised learning, reward modeling, and PPO to improve response quality and alignment.
transformer reinforcement-learning-algorithms fine-tuning ppo-agent policy-optimization-algorithms supervised-finetuning flan-t5 reward-modeling
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Mar 24, 2025 - Jupyter Notebook
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