[NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
☆60Feb 7, 2025Updated last year
Alternatives and similar repositories for Look-into-MoEs
Users that are interested in Look-into-MoEs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]☆41May 28, 2024Updated 2 years ago
- [ICML 2025] Code for "R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts"☆19Mar 10, 2025Updated last year
- ☆93Aug 18, 2024Updated 2 years ago
- Paper list for the paper "Authorship Attribution in the Era of Large Language Models: Problems, Methodologies, and Challenges (SIGKDD Exp…☆20May 25, 2026Updated 5 months ago
- [ACL 2026 Main] Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis☆55Jun 30, 2026Updated 4 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A framework for steering MoE models by detecting and controlling behavior-linked experts.☆39Sep 12, 2025Updated last year
- ☆29May 24, 2024Updated 2 years ago
- The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".☆32Nov 12, 2024Updated last year
- The official implementation of the paper "Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping (TMLR)".☆193Oct 2, 2026Updated last month
- ☆12Oct 22, 2024Updated 2 years ago
- MoE-Visualizer is a tool designed to visualize the selection of experts in Mixture-of-Experts (MoE) models.☆17Apr 8, 2025Updated last year
- [ICML 2024] Official Repository for the paper "Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models"☆11Jul 19, 2024Updated 2 years ago
- ☆23Sep 2, 2025Updated last year
- [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study☆64Nov 24, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This repository contains data, code and models for contextual noncompliance.☆26Jul 18, 2024Updated 2 years ago
- CRAI is a multimodal large language model based on the Mixture of Experts (MoE) architecture, supporting text and image cross-modal tasks…☆16Apr 29, 2025Updated last year
- 🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training☆93Dec 3, 2024Updated last year
- Codebase for character-centric story understanding☆14Jan 20, 2022Updated 4 years ago
- AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection☆19Oct 30, 2023Updated 3 years ago
- HydraNet is a state-of-the-art transformer architecture that combines Multi-Query Attention (MQA), Mixture of Experts (MoE), and continuo…☆14Updated this week
- [ICLR 2025] Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization☆26Oct 5, 2025Updated last year
- Code for URBER: Ultrafast Rule-Based Escape Routing Method for Large-Scale Sample Delivery Biochips☆21Sep 9, 2026Updated last month
- ☆25Dec 13, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for paper: Unraveling the Shift of Visual Information Flow in MLLMs: From Phased Interaction to Efficient Inference☆14Jun 7, 2025Updated last year
- Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models☆142Jun 12, 2024Updated 2 years ago
- Official implementation of "MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning"☆11Aug 23, 2025Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆112Sep 26, 2024Updated 2 years ago
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆85Oct 23, 2024Updated 2 years ago
- The code for "MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking"☆19Jan 25, 2025Updated last year
- ☆23Feb 10, 2025Updated last year
- ☆33Nov 11, 2024Updated last year
- The benchmark and datasets of the ICML 2024 paper "VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual C…☆17May 27, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- LongAttn ：Selecting Long-context Training Data via Token-level Attention☆15Jul 16, 2025Updated last year
- [COLM 2025] "C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing"☆21Apr 9, 2025Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Jan 17, 2024Updated 2 years ago
- ☆13Jan 14, 2025Updated last year
- The source code for WebConf 2025 paper "Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Informatio…☆11Feb 17, 2025Updated last year
- ☆16Mar 1, 2025Updated last year
- ☆16Jul 23, 2024Updated 2 years ago