PKU-Alignment

Align Anything: Training All-modality Model with Feedback

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

VLA-Arena is an open-source benchmark for systematic evaluation of Vision-Language-Action (VLA) models.

[NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct

BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).

[NeurIPS 2025 Spotlight] Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning.

AI Alignment: A Comprehensive Survey

ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models

AAAI24(Oral) ProAgent: Building Proactive Cooperative Agents with Large Language Models

[ACL2025 Best Paper] Language Models Resist Alignment