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Collections including paper arxiv:2405.00675

Finished Reading

Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 15
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 91
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Paper • 2307.08691 • Published Jul 17, 2023 • 9

Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27

Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Running

1.02k

1.02k

Can You Run It? LLM version

🚀

Calculate GPU requirements for running LLMs
llava-hf/llava-v1.6-mistral-7b-hf

Image-Text-to-Text • 8B • Updated May 1 • 316k • • 291
liuhaotian/LLaVA-Instruct-150K

Preview • Updated Jan 3, 2024 • 2.84k • 549

A Critical Evaluation of AI Feedback for Aligning Large Language Models

Paper • 2402.12366 • Published Feb 19, 2024 • 3
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Paper • 2401.08417 • Published Jan 16, 2024 • 36
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks

Paper • 2404.14723 • Published Apr 23, 2024 • 10
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27

Direct Language Model Alignment from Online AI Feedback

Paper • 2402.04792 • Published Feb 7, 2024 • 34
Suppressing Pink Elephants with Direct Principle Feedback

Paper • 2402.07896 • Published Feb 12, 2024 • 11
Reformatted Alignment

Paper • 2402.12219 • Published Feb 19, 2024 • 18
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27

Alignment and Unlearning

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15, 2024 • 89
Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27, 2024 • 25
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues

Paper • 2404.03820 • Published Apr 4, 2024 • 26

mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Paper • 2406.11839 • Published Jun 17, 2024 • 39
Pandora: Towards General World Model with Natural Language Actions and Video States

Paper • 2406.09455 • Published Jun 12, 2024 • 16
WPO: Enhancing RLHF with Weighted Preference Optimization

Paper • 2406.11827 • Published Jun 17, 2024 • 15
In-Context Editing: Learning Knowledge from Self-Induced Distributions

Paper • 2406.11194 • Published Jun 17, 2024 • 16

ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12, 2024 • 69
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28, 2024 • 41
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7, 2024 • 50
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 31

Interesting things.

AtP*: An efficient and scalable method for localizing LLM behaviour to components

Paper • 2403.00745 • Published Mar 1, 2024 • 14
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Paper • 2402.16840 • Published Feb 26, 2024 • 26
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21, 2024 • 116

Grandmaster-Level Chess Without Search

Paper • 2402.04494 • Published Feb 7, 2024 • 69
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6, 2024 • 32
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4, 2024 • 62

Finished Reading

Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 15
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 91
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Paper • 2307.08691 • Published Jul 17, 2023 • 9

Alignment and Unlearning

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15, 2024 • 89
Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27, 2024 • 25
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues

Paper • 2404.03820 • Published Apr 4, 2024 • 26

Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27

mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Paper • 2406.11839 • Published Jun 17, 2024 • 39
Pandora: Towards General World Model with Natural Language Actions and Video States

Paper • 2406.09455 • Published Jun 12, 2024 • 16
WPO: Enhancing RLHF with Weighted Preference Optimization

Paper • 2406.11827 • Published Jun 17, 2024 • 15
In-Context Editing: Learning Knowledge from Self-Induced Distributions

Paper • 2406.11194 • Published Jun 17, 2024 • 16

Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Running

1.02k

1.02k

Can You Run It? LLM version

🚀

Calculate GPU requirements for running LLMs
llava-hf/llava-v1.6-mistral-7b-hf

Image-Text-to-Text • 8B • Updated May 1 • 316k • • 291
liuhaotian/LLaVA-Instruct-150K

Preview • Updated Jan 3, 2024 • 2.84k • 549

ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12, 2024 • 69
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28, 2024 • 41
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7, 2024 • 50
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 31

A Critical Evaluation of AI Feedback for Aligning Large Language Models

Paper • 2402.12366 • Published Feb 19, 2024 • 3
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Paper • 2401.08417 • Published Jan 16, 2024 • 36
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks

Paper • 2404.14723 • Published Apr 23, 2024 • 10
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27

Interesting things.

AtP*: An efficient and scalable method for localizing LLM behaviour to components

Paper • 2403.00745 • Published Mar 1, 2024 • 14
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Paper • 2402.16840 • Published Feb 26, 2024 • 26
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21, 2024 • 116

Direct Language Model Alignment from Online AI Feedback

Paper • 2402.04792 • Published Feb 7, 2024 • 34
Suppressing Pink Elephants with Direct Principle Feedback

Paper • 2402.07896 • Published Feb 12, 2024 • 11
Reformatted Alignment

Paper • 2402.12219 • Published Feb 19, 2024 • 18
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27

Grandmaster-Level Chess Without Search

Paper • 2402.04494 • Published Feb 7, 2024 • 69
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6, 2024 • 32
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 27
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4, 2024 • 62

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