A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models

This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL

Code for 'Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning'

A Survey of Reinforcement Learning for Large Reasoning Models

ScreenCoder — Turn any UI screenshot into clean, editable HTML/CSS with full control. Fast, accurate, and easy to customize.

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

repo for modeling and analyzing metabolic labeling data

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction, AAAI 2023.

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization, ICML 2024.

[IEEE TPAMI 2025] Privacy-Preserving Biometric Verification With Handwritten Random Digit String

[IJCV 2025] Smaller But Better: Unifying Layout Generation with Smaller Large Language Models

DeepDubber-V1: Towards High Quality and Dialogue, Narration, Monologue Adaptive Movie Dubbing Via Multi-Modal Chain-of-Thoughts Reasoning Guidance

Code for the paper "AsFT: Anchoring Safety During LLM Fune-Tuning Within Narrow Safety Basin".

Templates and examples for ACL and EMNLP conference posters.

A list of recent papers about adversarial learning

Papers and resources related to the security and privacy of LLMs 🤖

Awesome Reasoning LLM Tutorial/Survey/Guide

A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)

This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation" (ICLR2025 Oral).

This is the official code for the paper "Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation"

This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".

A survey on harmful fine-tuning attack for large language model (ACM CSUR)

This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)

[ICML 2025] Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning

[ICLR 2025] PEARL: Towards Permutation-Resilient LLMs