ZhenweiAn / Dynamic_MoELinks
Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"
☆60Updated last year
Alternatives and similar repositories for Dynamic_MoE
Users that are interested in Dynamic_MoE are comparing it to the libraries listed below
Sorting:
- ☆117Updated 2 months ago
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆128Updated 9 months ago
- 🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training☆87Updated 8 months ago
- ☆120Updated 5 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆64Updated 10 months ago
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆174Updated 2 months ago
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆51Updated 10 months ago
- ☆147Updated 3 months ago
- ☆100Updated 4 months ago
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆84Updated 6 months ago
- [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration☆52Updated 6 months ago
- [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models☆126Updated last month
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆38Updated last year
- [SIGIR'24] The official implementation code of MOELoRA.☆176Updated last year
- [ICML'25] Official code of paper "Fast Large Language Model Collaborative Decoding via Speculation"☆24Updated 2 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆62Updated 8 months ago
- ☆65Updated 9 months ago
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆92Updated 2 months ago
- ☆33Updated 5 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆101Updated last year
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆166Updated 6 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆181Updated 3 weeks ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆157Updated last year
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆41Updated 6 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆54Updated 2 years ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆112Updated 8 months ago
- Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?☆115Updated 10 months ago
- Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping☆52Updated 3 months ago