Collections

14

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

Paper • 2211.04325 • Published Oct 26, 2022
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 17
On the Opportunities and Risks of Foundation Models

Paper • 2108.07258 • Published Aug 16, 2021
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 1

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

On the Opportunities and Risks of Foundation Models

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Textbooks Are All You Need

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

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Scaling Synthetic Data Creation with 1,000,000,000 Personas

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Self-Instruct: Aligning Language Model with Self Generated Instructions

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Can Large Language Models Understand Real-World Complex Instructions?

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection

ibm-research/AttaQ

snorkelai/snorkel-curated-instruction-tuning

corbyrosset/researchy_questions

argilla/ultrafeedback-binarized-preferences

Proximal Policy Optimization Algorithms

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Self-Rewarding Language Models

Training language models to follow instructions with human feedback

LoRA+: Efficient Low Rank Adaptation of Large Models

The FinBen: An Holistic Financial Benchmark for Large Language Models

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

TrustLLM: Trustworthiness in Large Language Models

Self-Instruct: Aligning Language Model with Self Generated Instructions

Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

AlpaCare:Instruction-tuned Large Language Models for Medical Application

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks

Vision-Language Models as a Source of Rewards

StemGen: A music generation model that listens

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

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

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Evaluating the Robustness to Instructions of Large Language Models