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Collections including paper arxiv:2405.00675

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Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1 • 24
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Paper • 2205.14135 • Published May 27, 2022 • 11
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Paper • 2307.08691 • Published Jul 17, 2023 • 8

Alignment and Unlearning

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 82
Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27 • 24
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1 • 24
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues

Paper • 2404.03820 • Published Apr 4 • 24

Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1 • 24

mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Paper • 2406.11839 • Published Jun 17 • 37
Pandora: Towards General World Model with Natural Language Actions and Video States

Paper • 2406.09455 • Published Jun 12 • 14
WPO: Enhancing RLHF with Weighted Preference Optimization

Paper • 2406.11827 • Published Jun 17 • 14
In-Context Editing: Learning Knowledge from Self-Induced Distributions

Paper • 2406.11194 • Published Jun 17 • 15

Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
Running

810

🚀

Can You Run It? LLM version
llava-hf/llava-v1.6-mistral-7b-hf

Image-Text-to-Text • Updated 21 days ago • 1.39M • 231
liuhaotian/LLaVA-Instruct-150K

Preview • Updated Jan 3 • 2.96k • 457

about 10 hours ago

ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12 • 62
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 46
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 29

A Critical Evaluation of AI Feedback for Aligning Large Language Models

Paper • 2402.12366 • Published Feb 19 • 3
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 57
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 182
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Paper • 2401.08417 • Published Jan 16 • 33

Interesting things.

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

Paper • 2403.00745 • Published Mar 1 • 11
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Paper • 2402.16840 • Published Feb 26 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 111

Direct Language Model Alignment from Online AI Feedback

Paper • 2402.04792 • Published Feb 7 • 29
Suppressing Pink Elephants with Direct Principle Feedback

Paper • 2402.07896 • Published Feb 12 • 9
Reformatted Alignment

Paper • 2402.12219 • Published Feb 19 • 15
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1 • 24

Grandmaster-Level Chess Without Search

Paper • 2402.04494 • Published Feb 7 • 67
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6 • 30
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1 • 24
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 60

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