leezythu / FocusLLMLinks
FocusLLM: Scaling LLM’s Context by Parallel Decoding
☆43Updated 11 months ago
Alternatives and similar repositories for FocusLLM
Users that are interested in FocusLLM are comparing it to the libraries listed below
Sorting:
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆89Updated last year
- Code for paper "Patch-Level Training for Large Language Models"☆95Updated 3 weeks ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆105Updated last month
- [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens☆25Updated 2 years ago
- ☆85Updated 3 weeks ago
- ☆19Updated 11 months ago
- ☆55Updated 5 months ago
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"☆83Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 9 months ago
- Long Context Extension and Generalization in LLMs☆62Updated last year
- The code and data for the paper JiuZhang3.0☆49Updated last year
- [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization☆43Updated 9 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆40Updated last month
- [ICLR 2025] MiniPLM: Knowledge Distillation for Pre-Training Language Models☆68Updated last year
- [ACL 2025] Are Your LLMs Capable of Stable Reasoning?☆31Updated 3 months ago
- Code for paper: Long cOntext aliGnment via efficient preference Optimization☆23Updated last month
- ☆18Updated last year
- ☆11Updated last year
- A Framework for Decoupling and Assessing the Capabilities of VLMs☆43Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆40Updated last year
- ☆110Updated 2 months ago
- Large Language Models Can Self-Improve in Long-context Reasoning☆73Updated last year
- Codebase for Instruction Following without Instruction Tuning☆36Updated last year
- ☆104Updated 2 months ago
- This repo contains code and data for ICLR 2025 paper MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs☆34Updated 8 months ago
- Code for ICML 25 paper "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"☆48Updated 5 months ago
- "Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding" Zhenyu Zhang, Runjin Chen, Shiw…☆30Updated last year
- LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification☆68Updated 4 months ago