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Collections including paper arxiv:2309.04564

Detecting Pretraining Data from Large Language Models

Paper • 2310.16789 • Published Oct 25, 2023 • 11
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
AutoMix: Automatically Mixing Language Models

Paper • 2310.12963 • Published Oct 19, 2023 • 14
An Emulator for Fine-Tuning Large Language Models using Small Language Models

Paper • 2310.12962 • Published Oct 19, 2023 • 13

Dataset pruning/cleaning/dedup

AlpaGasus: Training A Better Alpaca with Fewer Data

Paper • 2307.08701 • Published Jul 17, 2023 • 23
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Paper • 2303.03915 • Published Mar 7, 2023 • 7
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Paper • 2309.04662 • Published Sep 9, 2023 • 23
SlimPajama-DC: Understanding Data Combinations for LLM Training

Paper • 2309.10818 • Published Sep 19, 2023 • 11

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Paper • 2310.11248 • Published Oct 17, 2023 • 4
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Paper • 2309.04564 • Published Sep 8, 2023 • 16
What's In My Big Data?

Paper • 2310.20707 • Published Oct 31, 2023 • 11

Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 83
Baichuan 2: Open Large-scale Language Models

Paper • 2309.10305 • Published Sep 19, 2023 • 20
Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 38
LMDX: Language Model-based Document Information Extraction and Localization

Paper • 2309.10952 • Published Sep 19, 2023 • 65

llm-pretraining

When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Paper • 2309.04564 • Published Sep 8, 2023 • 16
Recovering from Privacy-Preserving Masking with Large Language Models

Paper • 2309.08628 • Published Sep 12, 2023 • 5

Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Paper • 2309.04564 • Published Sep 8, 2023 • 16
Large-Scale Automatic Audiobook Creation

Paper • 2309.03926 • Published Sep 7, 2023 • 54
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute

Paper • 2309.11197 • Published Sep 20, 2023 • 5

When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Paper • 2309.04564 • Published Sep 8, 2023 • 16

Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87
Neurons in Large Language Models: Dead, N-gram, Positional

Paper • 2309.04827 • Published Sep 9, 2023 • 17
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Paper • 2309.04564 • Published Sep 8, 2023 • 16

Training a large language model from scratch for 1$ on LambdaLabs

TheBirdLegacy/FreeLoaderLM

Text Generation • Updated Sep 9, 2023
CofeAI/FLM-101B

Text Generation • Updated Sep 18, 2023 • 107 • 91
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Composable Function-preserving Expansions for Transformer Architectures

Paper • 2308.06103 • Published Aug 11, 2023 • 20

Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 76
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Paper • 2309.04564 • Published Sep 8, 2023 • 16
LIMA: Less Is More for Alignment

Paper • 2305.11206 • Published May 18, 2023 • 23
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents

Paper • 2302.01560 • Published Feb 3, 2023 • 1

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