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Collections including paper arxiv:2306.08568

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 • 17
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29 • 46
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 25
WizardLM: Empowering Large Language Models to Follow Complex Instructions

Paper • 2304.12244 • Published Apr 24, 2023 • 13
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 45

There's usually interesting papers in the model cards on the leaderboard: https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard

StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 26
WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Paper • 2306.08568 • Published Jun 14, 2023 • 27
SantaCoder: don't reach for the stars!

Paper • 2301.03988 • Published Jan 9, 2023 • 6
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Paper • 2401.14196 • Published Jan 25 • 44

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 34
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 11
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 10

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4 • 59
Learning To Teach Large Language Models Logical Reasoning

Paper • 2310.09158 • Published Oct 13, 2023 • 1
ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 7
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Paper • 2308.09583 • Published Aug 18, 2023 • 7

Creative Robot Tool Use with Large Language Models

Paper • 2310.13065 • Published Oct 19, 2023 • 7
CodeCoT and Beyond: Learning to Program and Test like a Developer

Paper • 2308.08784 • Published Aug 17, 2023 • 5
Lemur: Harmonizing Natural Language and Code for Language Agents

Paper • 2310.06830 • Published Oct 10, 2023 • 29
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 68

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

Paper • 2310.13961 • Published Oct 21, 2023 • 4
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 10
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 36
A Zero-Shot Language Agent for Computer Control with Structured Reflection

Paper • 2310.08740 • Published Oct 12, 2023 • 14
The Consensus Game: Language Model Generation via Equilibrium Search

Paper • 2310.09139 • Published Oct 13, 2023 • 12
PaLI-3 Vision Language Models: Smaller, Faster, Stronger

Paper • 2310.09199 • Published Oct 13, 2023 • 21

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Paper • 2308.09583 • Published Aug 18, 2023 • 7
WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Paper • 2306.08568 • Published Jun 14, 2023 • 27
WizardLM: Empowering Large Language Models to Follow Complex Instructions

Paper • 2304.12244 • Published Apr 24, 2023 • 13

WizardLM: Empowering Large Language Models to Follow Complex Instructions

Paper • 2304.12244 • Published Apr 24, 2023 • 13
WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Paper • 2306.08568 • Published Jun 14, 2023 • 27

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