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1. ATLAS ATLAS Public

   A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

   Python 973 100

2. SRe2L SRe2L Public

   (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

   Python 129 19

3. Awesome-DLMs Awesome-DLMs Public

   The official GitHub repo for the survey paper "A Survey on Diffusion Language Models".

   292 13

4. M-Attack M-Attack Public

   [NeurIPS25 & ICML25 Workshop on Reliable and Responsible Foundation Models] A Simple Baseline Achieving Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1. Paper at: https:/…

   Python 72 4

5. Open-LLM-Leaderboard Open-LLM-Leaderboard Public

   Open-LLM-Leaderboard: Open-Style Question Evaluation. Paper at https://arxiv.org/abs/2406.07545

   Python 48 6