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update NexusQuant entry: repo moved, refresh numbers #188

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -303,7 +303,7 @@ python3 download_pdfs.py # The code is generated by Doubao AI

|Date|Title|Paper|Code|Recom|
|:---:|:---:|:---:|:---:|:---:|
|2026.03|🔥🔥[**NexusQuant**] NexusQuant: Training-Free KV Cache Compression via E8 Lattice Quantization and Temporal Predictive Coding — 7x compression, -2.26% PPL on Mistral-7B, drop-in one-liner| [[code]](https://github.com/nexusquant/nexusquant)|[[nexusquant]](https://github.com/nexusquant/nexusquant) ![](https://img.shields.io/github/stars/nexusquant/nexusquant.svg?style=social)|⭐️⭐️ |
|2026.03|🔥🔥[**NexusQuant**] NexusQuant: Training-Free KV Cache Compression via E8 Lattice Quantization and Attention-Aware Token Eviction — 6.1x compression, +0.276% PPL on Mistral-7B, drop-in one-liner| [[code]](https://github.com/jagmarques/nexusquant)|[[jagmarques]](https://github.com/jagmarques/nexusquant) ![](https://img.shields.io/github/stars/jagmarques/nexusquant.svg?style=social)|⭐️⭐️ |
|2019.11|🔥[MQA] Fast Transformer Decoding: One Write-Head is All You Need(@Google) | [[pdf]](https://arxiv.org/pdf/1911.02150.pdf)|⚠️|⭐️⭐️ |
|2022.06|[LTP] Learned Token Pruning for Transformers(@UC Berkeley etc)| [[pdf]](https://arxiv.org/pdf/2107.00910.pdf)|[[LTP]](https://github.com/kssteven418/LTP) ![](https://img.shields.io/github/stars/kssteven418/LTP.svg?style=social)|⭐️ |
|2023.05|🔥🔥[**GQA**] GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints(@Google) | [[pdf]](https://arxiv.org/pdf/2305.13245.pdf)|[[flaxformer]](https://github.com/google/flaxformer) ![](https://img.shields.io/github/stars/google/flaxformer.svg?style=social) |⭐️⭐️ |
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