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Collections including paper arxiv:2407.12327

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 11
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 50
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 44

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 126
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 77

Knowledge Mechanisms in Large Language Models: A Survey and Perspective

Paper • 2407.15017 • Published Jul 22 • 33
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 77

Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 77

Papers - Ternary

Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 77

How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 38
SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 68
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning

Paper • 2407.07523 • Published Jul 10 • 4
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 77

Surveys - Literature Reviews

A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models

Paper • 2406.11289 • Published Jun 17 • 5
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 29
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 77
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges

Paper • 2408.08946 • Published Aug 16 • 10

Papers - Quantization

about 13 hours ago

QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 45
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

Paper • 2407.11062 • Published Jul 10 • 8
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17 • 77
BitNet a4.8: 4-bit Activations for 1-bit LLMs

Paper • 2411.04965 • Published 1 day ago • 47

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 34
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Paper • 2402.16822 • Published Feb 26 • 15
FuseChat: Knowledge Fusion of Chat Models

Paper • 2402.16107 • Published Feb 25 • 36
Multi-LoRA Composition for Image Generation

Paper • 2402.16843 • Published Feb 26 • 28

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