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Collections including paper arxiv:2309.11998

Synthetic Data Generation

about 13 hours ago

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28 • 94

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
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 • 18
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 82
Baichuan 2: Open Large-scale Language Models

Paper • 2309.10305 • Published Sep 19, 2023 • 19
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

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

Paper • 2309.12307 • Published Sep 21, 2023 • 87
LIMA: Less Is More for Alignment

Paper • 2305.11206 • Published May 18, 2023 • 21
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Paper • 2309.11998 • Published Sep 21, 2023 • 24
Identifying Mislabeled Data using the Area Under the Margin Ranking

Paper • 2001.10528 • Published Jan 28, 2020

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Paper • 2309.11998 • Published Sep 21, 2023 • 24
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent

Paper • 2309.12311 • Published Sep 21, 2023 • 17
RMT: Retentive Networks Meet Vision Transformers

Paper • 2309.11523 • Published Sep 20, 2023 • 33

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Paper • 2309.11998 • Published Sep 21, 2023 • 24

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Paper • 2309.11998 • Published Sep 21, 2023 • 24

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Paper • 2309.11674 • Published Sep 20, 2023 • 31
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Paper • 2309.11998 • Published Sep 21, 2023 • 24

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Paper • 2309.04662 • Published Sep 9, 2023 • 22
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Paper • 2309.11998 • Published Sep 21, 2023 • 24
YanweiLi/MGM-Pretrain

Viewer • Updated Apr 21 • 1.27M • 32 • 15
YanweiLi/MGM-Instruction

Updated Apr 21 • 109 • 17

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 • 47 • 92
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 43
Composable Function-preserving Expansions for Transformer Architectures

Paper • 2308.06103 • Published Aug 11, 2023 • 19

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