[NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
☆61Feb 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]☆39May 28, 2024Updated last year
- ☆92Aug 18, 2024Updated last year
- Paper list for the paper "Authorship Attribution in the Era of Large Language Models: Problems, Methodologies, and Challenges (SIGKDD Exp…☆19Apr 5, 2026Updated last month
- MoE-Visualizer is a tool designed to visualize the selection of experts in Mixture-of-Experts (MoE) models.☆16Apr 8, 2025Updated last year
- Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model☆13Feb 11, 2025Updated 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.
- [ACL 2026 Main] Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis☆39Apr 24, 2026Updated 2 weeks ago
- 🚀 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
- This repository contains data, code and models for contextual noncompliance.☆25Jul 18, 2024Updated last year
- [ICML 2025] Code for "R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts"☆19Mar 10, 2025Updated last year
- Implementation for MomentumSMoE☆19Apr 19, 2025Updated last year
- Code for paper: Unraveling the Shift of Visual Information Flow in MLLMs: From Phased Interaction to Efficient Inference☆13Jun 7, 2025Updated 11 months ago
- [ICLR 2025] Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization☆24Oct 5, 2025Updated 7 months ago
- LongAttn ：Selecting Long-context Training Data via Token-level Attention☆15Jul 16, 2025Updated 9 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.
- Understanding deep networks and large models.☆28Jan 23, 2026Updated 3 months ago
- AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection☆19Oct 30, 2023Updated 2 years ago
- Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"☆71Jul 30, 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 last year
- ☆33Nov 11, 2024Updated last year
- ☆21Feb 10, 2025Updated last year
- Code for the paper "Cottention: Linear Transformers With Cosine Attention"☆20Nov 15, 2025Updated 5 months ago
- From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.☆25Oct 7, 2025Updated 7 months ago
- LibMoE: A LIBRARY FOR COMPREHENSIVE BENCHMARKING MIXTURE OF EXPERTS IN LARGE LANGUAGE MODELS☆49May 1, 2026Updated last week
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- The code for "MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking"☆19Jan 25, 2025Updated last year
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆42Mar 13, 2023Updated 3 years ago
- [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study☆59Nov 24, 2024Updated last year
- The code of 《M4: Multi-Proxy Multi-Gate Mixture of Experts Network for Multiple Instance Learning in Histopathology Image Analysis》☆14Mar 31, 2025Updated last year
- Public code release for the paper "Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training"☆11Oct 27, 2025Updated 6 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆119Sep 26, 2024Updated last year
- 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
- ☆14Dec 28, 2022Updated 3 years ago
- BitLinear implementation☆35Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ICML 2025 Oral] Mixture of Lookup Experts☆72Dec 3, 2025Updated 5 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Jan 17, 2024Updated 2 years ago
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆15Jul 18, 2024Updated last year
- ☆16Mar 1, 2025Updated last year
- Python package for P2 (Path Planning), a masked diffusion model sampling method for sequence generation (protein, text, etc.).☆23Aug 19, 2025Updated 8 months ago
- A repository to introduce the algorithmic information theory. You could learn what is Kolmogorov complexity and why it is important here.☆13Jul 23, 2025Updated 9 months ago
- [NAACL'25 🏆 SAC Award] Official code for "Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert…☆16Feb 4, 2025Updated last year