OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
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Updated
Feb 13, 2026 - Python
OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
A curated list of papers on reinforcement learning for video generation
LightRFT: Light, Efficient, Omni-modal & Reward-model Driven Reinforcement Fine-Tuning Framework
Efficient LLM inference on Slurm clusters.
[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning
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.
A curated list of awesome resources about reward construction for AI agents. This repository covers cutting-edge research, and practical guides on defining and collecting rewards to build more intelligent and aligned AI agents.
Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
An official implementation of "SPARK: Synergistic Policy And Reward Co-Evolving Framework"
Proposed fuzzy reward model with GRPO to improve VLM's abilities in crowd counting task.
Code for ICML 2025 paper "GRAM: A Generative Foundation Reward Model for Reward Generalization"
This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".
Official PyTorch Implementation for the "RewardSDS: Aligning Score Distillation via Reward-Weighted Sampling" paper!
DocReward: A Document Reward Model for Structuring and Stylizing
ACL'25: Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
A curated list of research papers, models, and resources related to R1-style reasoning models following DeepSeek-R1's breakthrough in January 2025.
Developing a LLM response ranking reward model using HFRL except it's GPT-3.5 instead of human.
This project implements a multi-module reward model training system designed to further RL finetune agent performance across complex multi-turn tasks.
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