LLM Efficiency Challenge

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https://llm-efficiency-challenge.github.io/

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AI & ML interests

LLM resource efficient finetuning

authored a paper 2 months ago

NeurIPS 2023 LLM Efficiency Fine-tuning Competition

Paper • 2503.13507 • Published Mar 13, 2025

authored 4 papers 3 months ago

Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities

Paper • 2410.18469 • Published Oct 24, 2024 • 1

Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling

Paper • 2601.22636 • Published Jan 30 • 22

SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks

Paper • 2602.06854 • Published Feb 6 • 6

Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models

Paper • 2312.09601 • Published Dec 15, 2023

authored 2 papers over 2 years ago

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Paper • 2304.11277 • Published Apr 21, 2023 • 5

Sustainable AI: Environmental Implications, Challenges and Opportunities

Paper • 2111.00364 • Published Oct 30, 2021 • 1

updated 4 models over 2 years ago

llm-efficiency-challenge/QuyAnh2005-A100-qwen-qwen-finetune

Updated Nov 19, 2023 • 3

llm-efficiency-challenge/QuyAnh2005-4090-mistral-7b-neurips-v2

Updated Nov 19, 2023 • 6

llm-efficiency-challenge/hfvienna-4090-mistral_guanaco_1ep

Updated Nov 18, 2023 • 10

llm-efficiency-challenge/hfvienna-mistral_guanaco_1ep

Updated Nov 18, 2023