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Collections including paper arxiv:2406.20094

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 126
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

Synthetic Data Generation

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

For Human and Artificial Intelligence in Organizations

SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

Paper • 2409.05556 • Published Sep 9 • 1
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Paper • 2409.04109 • Published Sep 6 • 43
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

Paper • 2409.15277 • Published Sep 23 • 34
Learning Task Decomposition to Assist Humans in Competitive Programming

Paper • 2406.04604 • Published Jun 7 • 4

SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers

Paper • 2407.09413 • Published Jul 12 • 9
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28 • 94
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity

Paper • 2406.17720 • Published Jun 25 • 7
LiveBench: A Challenging, Contamination-Free LLM Benchmark

Paper • 2406.19314 • Published Jun 27 • 19

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

Paper • 2406.20094 • Published Jun 28 • 94

Interesting Papers

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs

Paper • 2406.20086 • Published Jun 28 • 4
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Paper • 2407.00106 • Published Jun 27 • 5
MIRAI: Evaluating LLM Agents for Event Forecasting

Paper • 2407.01231 • Published Jul 1 • 16

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Paper • 2406.17557 • Published Jun 25 • 86
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Paper • 2406.16860 • Published Jun 24 • 57
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity

Paper • 2406.17720 • Published Jun 25 • 7
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28 • 94

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

Paper • 2406.20094 • Published Jun 28 • 94

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 30
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18 • 20
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17 • 15
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17 • 13

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Paper • 2305.13169 • Published May 22, 2023 • 3
A Survey on Data Selection for Language Models

Paper • 2402.16827 • Published Feb 26 • 4
HuggingFaceFW/fineweb-edu

Viewer • Updated about 1 month ago • 3B • 585k • 531
allenai/MADLAD-400

Updated Sep 9 • 45.8k • 125

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