Starred repositories
[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
[ACL'2024] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
A lightweight library for large laguage model (LLM) jailbreaking defense.
Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
Official repository for ``Concept-based Interpretation Without Linear Assumption'' published in ICLR 2023.
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
A framework for few-shot evaluation of language models.
ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..
欢迎来到 LLM-Dojo,这里是一个开源大模型学习场所,使用简洁且易阅读的代码构建模型训练框架(支持各种主流模型如Qwen、Llama、GLM等等)、RLHF框架(DPO/CPO/KTO/PPO)等各种功能。👩🎓👨🎓
Improving Alignment and Robustness with Circuit Breakers
Comprehensive toolkit for Reinforcement Learning from Human Feedback (RLHF) training, featuring instruction fine-tuning, reward model training, and support for PPO and DPO algorithms with various c…
Directional Preference Alignment
Recipes to train reward model for RLHF.
Trains and compares a variety of preference models (reward models) with different losses and datasets.
kaggle:otto competition
News Recommendation with Category Description by a Large Language Model
(WSDM 2024) Official implementation of the paper "ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models"