Asaf-Yehudai (Asaf Yehudai)

upvoted a paper 10 days ago

What's In My Big Data?

Paper • 2310.20707 • Published Oct 31, 2023 • 10

upvoted a paper 23 days ago

The Future of Open Human Feedback

Paper • 2408.16961 • Published Aug 15 • 19

upvoted an article 26 days ago

Article

The Rise of Agentic Data Generation

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Jul 15

• 74

upvoted a paper about 1 month ago

Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation

Paper • 2407.13696 • Published Jul 18 • 5

upvoted a paper 3 months ago

Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Paper • 2407.00402 • Published Jun 29 • 22

upvoted an article 3 months ago

Article

BM25 for Python: Achieving high performance while simplifying dependencies with BM25S⚡

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Jul 9

• 35

upvoted 4 papers 4 months ago

upvoted an article 4 months ago

Article

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

Mar 20

• 60

upvoted a paper 5 months ago

Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Paper • 2405.04324 • Published May 7 • 21

upvoted an article 5 months ago

Article

Releasing Common Corpus: the largest public domain dataset for training LLMs

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Mar 20

• 13

upvoted a paper 7 months ago

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation

Paper • 2402.10210 • Published Feb 15 • 29

upvoted 2 papers 8 months ago

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Paper • 2402.06619 • Published Feb 9 • 52

Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Paper • 2401.14367 • Published Jan 25 • 6

Asaf Yehudai

AI & ML interests

Organizations

Asaf-Yehudai's activity

What's In My Big Data?

The Future of Open Human Feedback

The Rise of Agentic Data Generation

Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation

Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

BM25 for Python: Achieving high performance while simplifying dependencies with BM25S⚡

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

Mixture-of-Agents Enhances Large Language Model Capabilities

Large Language Model Confidence Estimation via Black-Box Access

ChatQA: Building GPT-4 Level Conversational QA Models

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

Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Releasing Common Corpus: the largest public domain dataset for training LLMs

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation

Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning

Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Asaf Yehudai

AI & ML interests

Organizations

Asaf-Yehudai's activity

The Rise of Agentic Data Generation

BM25 for Python: Achieving high performance while simplifying dependencies with *BM25S*⚡

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

Releasing Common Corpus: the largest public domain dataset for training LLMs

BM25 for Python: Achieving high performance while simplifying dependencies with BM25S⚡