Jee (Kim)

upvoted a paper 3 months ago

Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 54

upvoted a collection 3 months ago

sentence-transformers-from-synthetic-data

Example of using distilabel to generate synthetic triplets data for fine-tuning a Sentence Transformer model • 4 items • Updated Jun 21 • 21

upvoted an article 3 months ago

Article

⚗️ 🔥 Building High-Quality Datasets with distilabel and Prometheus 2

By

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Jun 3

• 24

upvoted a paper 3 months ago

Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Paper • 2405.11273 • Published May 18 • 17

upvoted 2 papers 4 months ago

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 34

Iterative Reasoning Preference Optimization

Paper • 2404.19733 • Published Apr 30 • 46

upvoted an article 4 months ago

Article

Improving Prompt Consistency with Structured Generations

Apr 30

• 51

upvoted 3 papers 4 months ago

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 58

How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior

Paper • 2404.10198 • Published Apr 16 • 7

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

Paper • 2404.14219 • Published Apr 22 • 247

upvoted an article 4 months ago

Article

Fine-tune Llama 3 with ORPO

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Apr 22

• 215

upvoted a paper 5 months ago

Simple and Scalable Strategies to Continually Pre-train Large Language Models

Paper • 2403.08763 • Published Mar 13 • 48

upvoted a paper 6 months ago

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

Paper • 2403.09029 • Published Mar 14 • 54

upvoted a paper 11 months ago

Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 75

Kim

AI & ML interests

Organizations

Jee's activity

Mixture-of-Agents Enhances Large Language Model Capabilities

sentence-transformers-from-synthetic-data

⚗️ 🔥 Building High-Quality Datasets with distilabel and Prometheus 2

Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Iterative Reasoning Preference Optimization

Improving Prompt Consistency with Structured Generations

Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior

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

Fine-tune Llama 3 with ORPO

Simple and Scalable Strategies to Continually Pre-train Large Language Models

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

Adapting Large Language Models via Reading Comprehension