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Collections including paper arxiv:2312.15685

lshort-transformers

Papers useful when writing the paper: "The Not So Short Transfromers"

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Paper • 2403.03853 • Published Mar 6 • 61
SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 62
Your Transformer is Secretly Linear

Paper • 2405.12250 • Published 13 days ago • 134
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 59

ibm/AttaQ

Viewer • Updated Jan 26 • 1.6k • 5
ibm/merlinite-7b

Text Generation • Updated Mar 5 • 12.2k • 101
microsoft/Orca-2-13b

Text Generation • Updated Nov 22, 2023 • 19.8k • 651
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11 • 4 • 9

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning

Paper • 2401.06532 • Published Jan 12 • 10
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 45
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 19
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Paper • 2309.12307 • Published Sep 21, 2023 • 82
NEFTune: Noisy Embeddings Improve Instruction Finetuning

Paper • 2310.05914 • Published Oct 9, 2023 • 13
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 55
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon

Paper • 2401.03462 • Published Jan 7 • 25

2024 Paper Reading Sessions

Contains some papers that we are reading through internally hosted paper reading sessions. Topics: LLMs, RLHF, synthetic data, benchmarking, etc.

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 73
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4 • 59
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16

AugmentedLearning

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16
mistralai/Mixtral-8x7B-Instruct-v0.1

Text Generation • Updated Feb 29 • 455k • 3.86k
microsoft/phi-2

Text Generation • Updated Apr 29 • 645k • 3.17k
TinyLlama/TinyLlama-1.1B-Chat-v1.0

Text Generation • Updated Mar 17 • 603k • 976

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16

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