[ICLR 2025] IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
-
Updated
Feb 19, 2025 - Python
#
reward-modeling
Here are 10 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
-
Updated
Jan 6, 2025 - Python
Efficient LLM inference on Slurm clusters using vLLM.
-
Updated
Apr 29, 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
-
Updated
Apr 2, 2025 - Python
[CVPR 2025] Science-T2I: Addressing Scientific Illusions in Image Synthesis
-
Updated
Apr 27, 2025 - Python
Learning to route instances for Human vs AI Feedback
-
Updated
Feb 11, 2025 - Python
[ACL2024 Findings]DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling
-
Updated
Jun 6, 2024 - Python
The code used in the paper "DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging"
-
Updated
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
-
Updated
Mar 24, 2025 - Jupyter Notebook
Source code of our paper "Transferring Textual Preferences to Vision-Language Understanding through Model Merging"
-
Updated
Apr 25, 2025 - Python
Improve this page
Add a description, image, and links to the reward-modeling topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the reward-modeling topic, visit your repo's landing page and select "manage topics."