ATLAS

(★ 991)

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

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The official GitHub repo for the survey paper "A Survey on Diffusion Language Models".
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An Automated AI Agent Tool for Plotting Your Data in Any Paper's Figure Style.

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SRe2L ★ 141

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

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M-Attack ★ 100

[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://arxiv.org/abs/2503.10635

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GBLM-Pruner ★ 48

Are gradient information useful for pruning of LLMs?

Python
Elastic-Cache ★ 42

[ICLR 2026 🔥] Official pytorch implementation for "Attention Is All You Need for KV Cache in Diffusion LLMs"

Python

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