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Daniel van Strien PRO

davanstrien

https://danielvanstrien.xyz/

vanstriendaniel

davanstrien

AI & ML interests

Machine Learning Librarian

Articles

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models

Mar 20

• 14

Introducing IDEFICS: An Open Reproduction of State-of-the-art Visual Language Model

Aug 22, 2023

• 5

Huggy Lingo: Using Machine Learning to Improve Language Metadata on the Hugging Face Hub

Aug 2, 2023

The Hugging Face Hub for Galleries, Libraries, Archives and Museums

Jun 12, 2023

• 1

Introducing BERTopic Integration with Hugging Face Hub

May 31, 2023

Jupyter X Hugging Face

Mar 23, 2023

• 2

Image search with 🤗 datasets

Mar 16, 2022

Organizations

davanstrien's activity

upvoted a paper 2 days ago

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Paper • 2404.18796 • Published 3 days ago • 47

upvoted an article 2 days ago

Article

Jupyter X Hugging Face

Mar 23, 2023

• 2

upvoted an article 3 days ago

Article

⚗️ 🧑🏼‍🌾 Let's grow some Domain Specific Datasets together

•

3 days ago

• 22

upvoted 2 papers 3 days ago

Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer

Paper • 2404.16506 • Published 7 days ago • 1

Can a Multichoice Dataset be Repurposed for Extractive Question Answering?

Paper • 2404.17342 • Published 6 days ago • 1

upvoted 2 articles 6 days ago

Article

Post-OCR-Correction: 1 billion words dataset of automated OCR correction by LLM

•

6 days ago

• 9

Article

🦙⚗️ Using Llama3 and distilabel to build fine-tuning datasets

•

6 days ago

• 45

upvoted an article 8 days ago

Article

The Hugging Face Hub for Galleries, Libraries, Archives and Museums

Jun 12, 2023

• 1

upvoted a paper 9 days ago

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published 10 days ago • 223

upvoted an article 14 days ago

Article

Releasing Youtube-Commons: a massive open corpus for conversational and multimodal data

•

14 days ago

• 19

upvoted a paper 22 days ago

nEMO: Dataset of Emotional Speech in Polish

Paper • 2404.06292 • Published 23 days ago • 1

upvoted an article 23 days ago

Article

Text2SQL using Hugging Face Dataset Viewer API and Motherduck DuckDB-NSQL-7B

28 days ago

• 19

upvoted an article 26 days ago

Article

Deploying 🤗 Hub models in Vertex AI

•

Feb 27

• 3

upvoted 2 articles 27 days ago

Article

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Mar 15

• 3

Article

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models

Mar 20

• 14

upvoted a paper 27 days ago

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Paper • 2404.03543 • Published 28 days ago • 15

upvoted a collection about 1 month ago

boulderspot

Collection

find places to climb outside from aerial imagery • 4 items • Updated Apr 1 • 3

upvoted 3 papers about 1 month ago

ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12 • 53

ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages

Paper • 2403.17859 • Published Mar 26 • 2

QuRating: Selecting High-Quality Data for Training Language Models

Paper • 2402.09739 • Published Feb 15 • 3

upvoted 2 collections about 1 month ago

Preference Datasets for KTO

Collection

This collection contains a list of curated preference datasets for KTO fine-tuning for intent alignment of LLMs through signals. • 5 items • Updated Mar 19 • 10

Common Corpus

Collection

The largest public domain dataset for training LLMs. • 26 items • Updated Mar 20 • 98

upvoted a paper about 2 months ago

KTO: Model Alignment as Prospect Theoretic Optimization

Paper • 2402.01306 • Published Feb 2 • 11

upvoted 3 collections about 2 months ago

DIBT Prompt Collective Outputs

Collection

An overview of some of the outputs from the first Data is Better Together task focused on rating the quality of prompts • 5 items • Updated Mar 12 • 1

2024 Paper Reading Sessions

Collection

Contains some papers that we are reading through internally hosted paper reading sessions. Topics: LLMs, RLHF, synthetic data, benchmarking, etc. • 2 items • Updated Jan 8 • 2

DIBT Prompt collective SPIN

Collection

This collection contains resources related to the replication of SPIN with the dibt prompt collective dataset • 8 items • Updated Mar 12 • 7

upvoted a paper about 2 months ago

SaulLM-7B: A pioneering Large Language Model for Law

Paper • 2403.03883 • Published Mar 6 • 65

upvoted a collection about 2 months ago

UDOP

Collection

UDOP is a general multimodal model for document AI • 4 items • Updated Mar 5 • 19

upvoted 2 papers about 2 months ago

Major TOM: Expandable Datasets for Earth Observation

Paper • 2402.12095 • Published Feb 19 • 8

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models

Paper • 2403.00231 • Published Mar 1 • 1

upvoted 4 papers 2 months ago

NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye Images

Paper • 2402.18196 • Published Feb 28 • 1

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Paper • 2312.01552 • Published Dec 4, 2023 • 25

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Paper • 2402.14658 • Published Feb 22 • 77

A Survey on Data Selection for LLM Instruction Tuning

Paper • 2402.05123 • Published Feb 4 • 3

upvoted 6 papers 3 months ago

Airavata: Introducing Hindi Instruction-tuned LLM

Paper • 2401.15006 • Published Jan 26 • 3

Diversity Measurement and Subset Selection for Instruction Tuning Datasets

Paper • 2402.02318 • Published Feb 4 • 2

DsDm: Model-Aware Dataset Selection with Datamodels

Paper • 2401.12926 • Published Jan 23 • 2

SelectLLM: Can LLMs Select Important Instructions to Annotate?

Paper • 2401.16553 • Published Jan 29 • 3

LESS: Selecting Influential Data for Targeted Instruction Tuning

Paper • 2402.04333 • Published Feb 6 • 3

Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Paper • 2402.04833 • Published Feb 7 • 6

upvoted 7 collections 3 months ago

WebLINX

Collection

https://mcgill-nlp.github.io/weblinx • 10 items • Updated 6 days ago • 4

LLM as a Judge

Collection

Curated resources that support the use of LLMs to serve as automatic evaluators of other LLM outputs. • 14 items • Updated Feb 19 • 14

Information Extraction Datasets

Collection

Collection of datasest for various information extraction tasks. • 3 items • Updated Feb 9 • 5

datasets-SPIN

Collection

Generated synthetic data used to finetune SPIN. • 8 items • Updated Feb 9 • 10

Model Merging

Collection

Model Merging is a very popular technique nowadays in LLM. Here is a chronological list of papers on the space that will help you get started with it! • 28 items • Updated Mar 23 • 172

LLM Leaderboard best models ❤️‍🔥

Collection

A daily uploaded list of models with best evaluations on the LLM leaderboard: • 65 items • Updated 3 days ago • 289

Qwen1.5

Collection

Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud. • 55 items • Updated 3 days ago • 158

upvoted 13 papers 3 months ago

Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains

Paper • 2402.05140 • Published Feb 6 • 18

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset

Paper • 2402.04588 • Published Feb 7 • 2

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Paper • 2402.01832 • Published Feb 2 • 4

Scaling Laws for Downstream Task Performance of Large Language Models

Paper • 2402.04177 • Published Feb 6 • 16

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 21

MusicRL: Aligning Music Generation to Human Preferences

Paper • 2402.04229 • Published Feb 6 • 16

Specialized Language Models with Cheap Inference from Limited Domain Data

Paper • 2402.01093 • Published Feb 2 • 45

PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software

Paper • 2402.00699 • Published Feb 1 • 2

PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition

Paper • 2401.13554 • Published Jan 24 • 2

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Paper • 2401.07324 • Published Jan 14 • 3

Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis

Paper • 2401.11814 • Published Jan 22 • 4

CaBuAr: California Burned Areas dataset for delineation

Paper • 2401.11519 • Published Jan 21 • 3

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

Paper • 2401.12070 • Published Jan 22 • 40

Daniel van Strien PRO

AI & ML interests

Articles

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models

Data is better together

Extracting Insights from Model Cards Using Open Large Language Models

Creating open machine learning datasets? Share them on the Hugging Face Hub!

Introducing IDEFICS: An Open Reproduction of State-of-the-art Visual Language Model

Huggy Lingo: Using Machine Learning to Improve Language Metadata on the Hugging Face Hub

The Hugging Face Hub for Galleries, Libraries, Archives and Museums

Introducing BERTopic Integration with Hugging Face Hub

Jupyter X Hugging Face

Image search with 🤗 datasets

Organizations

davanstrien's activity

Jupyter X Hugging Face

⚗️ 🧑🏼‍🌾 Let's grow some Domain Specific Datasets together

Post-OCR-Correction: 1 billion words dataset of automated OCR correction by LLM

🦙⚗️ Using Llama3 and distilabel to build fine-tuning datasets

The Hugging Face Hub for Galleries, Libraries, Archives and Museums

Releasing Youtube-Commons: a massive open corpus for conversational and multimodal data

Text2SQL using Hugging Face Dataset Viewer API and Motherduck DuckDB-NSQL-7B

Deploying 🤗 Hub models in Vertex AI

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models