princeton-pli / PruLongLinks
Code for the preprint "Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?"
☆46Updated 2 months ago
Alternatives and similar repositories for PruLong
Users that are interested in PruLong are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆52Updated 11 months ago
- Long Context Extension and Generalization in LLMs☆62Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆38Updated last year
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆102Updated last week
- The official implementation of paper: SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction.☆49Updated last year
- LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification☆65Updated 3 months ago
- The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink…☆95Updated last month
- ☆119Updated 4 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆231Updated last month
- RL with Experience Replay☆47Updated 2 months ago
- Kinetics: Rethinking Test-Time Scaling Laws☆81Updated 3 months ago
- LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation☆30Updated last week
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"☆78Updated 10 months ago
- ☆74Updated 11 months ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆115Updated 10 months ago
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆79Updated 2 years ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆114Updated 5 months ago
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆142Updated last year
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆110Updated 7 months ago
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆112Updated 6 months ago
- ☆18Updated 10 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆88Updated last year
- Official implementation for DenseMixer: Improving MoE Post-Training with Precise Router Gradient☆58Updated 2 months ago
- The HELMET Benchmark☆178Updated 2 months ago
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆164Updated last year
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆215Updated last year
- ☆55Updated 4 months ago
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 8 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆68Updated 11 months ago
- Organize the Web: Constructing Domains Enhances Pre-Training Data Curation☆67Updated 5 months ago