UbiquitousLearning / Efficient_Foundation_Model_SurveyLinks
Survey Paper List - Efficient LLM and Foundation Models
β260Updated last year
Alternatives and similar repositories for Efficient_Foundation_Model_Survey
Users that are interested in Efficient_Foundation_Model_Survey are comparing it to the libraries listed below
Sorting:
- a curated list of high-quality papers on resource-efficient LLMs π±β155Updated 10 months ago
- β102Updated 2 years ago
- [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".β480Updated 6 months ago
- Awesome-LLM-KV-Cache: A curated list of πAwesome LLM KV Cache Papers with Codes.β411Updated 10 months ago
- Awesome list for LLM pruning.β280Updated 3 months ago
- π° Must-read papers on KV Cache Compression (constantly updating π€).β646Updated 4 months ago
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Lengthβ148Updated last month
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)β357Updated 9 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.β146Updated 5 months ago
- A curated list of early exiting (LLM, CV, NLP, etc)β70Updated last year
- Efficient Mixture of Experts for LLM Paper Listβ160Updated 4 months ago
- Curated collection of papers in MoE model inferenceβ339Updated 3 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**β214Updated 11 months ago
- This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding coβ¦β271Updated last month
- Awesome list for LLM quantizationβ381Updated 3 months ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.β502Updated last year
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".β93Updated 2 years ago
- β64Updated last year
- β302Updated 6 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Modelsβ113Updated last year
- EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).β74Updated last year
- Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".β47Updated last year
- β43Updated last year
- β83Updated last year
- [ICMLβ24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".β124Updated 6 months ago
- π° Must-read papers and blogs on Speculative Decoding β‘οΈβ1,110Updated last week
- The Official Implementation of Ada-KV [NeurIPS 2025]β125Updated 2 months ago
- β353Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Modelsβ69Updated 2 years ago
- Explorations into some recent techniques surrounding speculative decodingβ299Updated last year