jlzhou (Junlin Zhou)

upvoted a paper 8 days ago

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation

Paper • 2407.10817 • Published 11 days ago • 11

upvoted a paper 10 days ago

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Paper • 2407.09025 • Published 15 days ago • 111

upvoted a paper 21 days ago

Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published 25 days ago • 80

upvoted 2 papers 24 days ago

LiveBench: A Challenging, Contamination-Free LLM Benchmark

Paper • 2406.19314 • Published 29 days ago • 14

Adam-mini: Use Fewer Learning Rates To Gain More

Paper • 2406.16793 • Published Jun 24 • 65

upvoted an article about 2 months ago

Article

BrAIn: next generation neurons?

By

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Jun 5

• 15

upvoted 2 papers about 2 months ago

AutoCoder: Enhancing Code Large Language Model with AIEV-Instruct

Paper • 2405.14906 • Published May 23 • 21

SimPO: Simple Preference Optimization with a Reference-Free Reward

Paper • 2405.14734 • Published May 23 • 8

upvoted 2 papers 2 months ago

Deduplicating Training Data Makes Language Models Better

Paper • 2107.06499 • Published Jul 14, 2021 • 3

Your Transformer is Secretly Linear

Paper • 2405.12250 • Published May 19 • 147

upvoted 2 articles 2 months ago

Article

Vision Language Models Explained

Apr 11

• 144

Article

Everything About Long Context Fine-tuning

By

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May 10

• 21

upvoted a paper 4 months ago

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

Paper • 2403.08763 • Published Mar 13 • 48

upvoted a paper 5 months ago

QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 45

upvoted a paper about 1 year ago

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Paper • 2307.08674 • Published Jul 17, 2023 • 47

Junlin Zhou

AI & ML interests

Organizations

jlzhou's activity

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

LiveBench: A Challenging, Contamination-Free LLM Benchmark

Adam-mini: Use Fewer Learning Rates To Gain More

BrAIn: next generation neurons?

AutoCoder: Enhancing Code Large Language Model with AIEV-Instruct

SimPO: Simple Preference Optimization with a Reference-Free Reward

Deduplicating Training Data Makes Language Models Better

Your Transformer is Secretly Linear

Vision Language Models Explained

Everything About Long Context Fine-tuning

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

QLoRA: Efficient Finetuning of Quantized LLMs

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT