[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 16 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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Jul 9, 2025 - Python
Efficient LLM inference on Slurm clusters using vLLM.
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Jul 8, 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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Apr 2, 2025 - Python
[CVPR 2025] Science-T2I: Addressing Scientific Illusions in Image Synthesis
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Apr 27, 2025 - Python
A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward models and learning strategies across training, inference, and post-inference stages.
reinforcement-learning post-training self-correction reward-learning large-language-models llm llms reward-models reward-model reward-modeling guided-decoding test-time-scaling
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Jun 13, 2025
An easy python package to run quick basic QA evaluations. This package includes standardized QA evaluation metrics and semantic evaluation metrics: Black-box and Open-Source large language model prompting and evaluation, exact match, F1 Score, PEDANT semantic match, transformer match. Our package also supports prompting OPENAI and Anthropic API.
qa-automation-test rl-training llm exact-matching llm-evaluation llm-evaluation-toolkit llm-evaluation-framework reward-modeling
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Jun 21, 2025 - Python
Learning to route instances for Human vs AI Feedback (ACL 2025 Main)
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May 16, 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
RewardAnything: Generalizable Principle-Following Reward Models
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Jun 11, 2025 - HTML
Source code of our paper "Transferring Textual Preferences to Vision-Language Understanding through Model Merging", ACL 2025
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Apr 25, 2025 - Python
Code for SFT and RL
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Jun 22, 2025 - 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
Implementation for our COLM paper "Off-Policy Corrected Reward Modeling for RLHF"
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Jul 11, 2025 - Python
Official Repository for RELIC : Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
ai-safety indian-languages few-shot-learning low-resouce-language in-context-learning reward-modeling
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Jun 23, 2025
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